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Today’s news article on the SWAYAM MOOCs and open-ness by Anil Sasi of the Indian Express raises some very important questions about the future of MOOCs in this country.

The facts of the matter are as follows. A proprietary rather than open source approach has been adopted because open source seems not be open after all. Choosing EdX, for example, they believe compromises intellectual property and requires a big fee to be paid to MIT (even after EdX, at the behest of IIT Mumbai and MHRD gave over the full source code and support to India in 2013 and assured that all IP will remain with India). Secondly, it seems they believe that open source systems do not have the depth of being able to handle enterprise grade learning environments. Third, this is the conclusion of expert committees of the government after in-depth deliberations, I assume, with a wide range of industry, technical and MOOC experts. Fourthly, the RFP itself built by PwC and the government, the basis of the INR 38 cr project award to Microsoft, is in itself plagiarized and deficient.

This defies logic. A really large part of the world runs on open source. The open source movement has shown that enterprise grade, mission critical applications can be made to work with community support. Total cost of development ownership is lower with use of open source. And open source, by definition, fosters collaboration and innovation.

At the risk of repetition, instead of manufacturing large systems, the government should invest in building API and making integration possible between systems. They should fund edTech startups to build MOOC based learning environments. They should enable an open architecture, not just in technological terms, but also in terms of an open architecture of participation.

How would that work?

On the technology front, let us assume we are API focused. Then we must openly build the following API sets (and more):

  1. User API – API that allows users of different types and institutions to be managed, for different stakeholders and their roles
  2. Identity API – that allows users to be uniquely and securely identified through the course of their life, with probable integrations with other systems like Aadhar
  3. Curriculum API – API that enables metadata and classification systems for content and pedagogy, that brings Corporate, VET, School and Higher education taxonomies together
  4. Assessment API – API that enables taking online assessments of different types, enables proctoring controls, provides secure test-taking and great analytics
  5. Certifications/Badging API – that allows certification/degree providers to create online badges and certificates that can be awarded; secure lifelong eportfolios and linked certificate depositories
  6. Authoring API – that allows quick and easy authoring, review and collaboration
  7. Content Delivery API – API that allows video streaming (live and VOD), CDN-grade access, shared folders and cloud distribution
  8. Network API – that enables social discovery, network and group formations, sharing and amplification and social profile aggregation; building both social and learning graphs
  9. Services API – that enables tutors to connect to students, mentors and coaches to their mentees, institutions to parents and so on, and provide services such as fee payments, digital and offline educational content, tutoring, adaptivity, virtual classrooms and so on.
  10. Andragogy/Heutagogy/Pedagogy API – that enables different techniques to teaching-learning to be used as desired by teachers and students, e.g. blended models or SPOCs.
  11. Learning Analytics API – that provides new ways of deciphering engagement, learning and interaction.
  12. Language API – that enables multi-lingual content and internationalization

(Remember that technology and all this talk about API is merely the greasing in the wheel. The real work is in exploring new paradigms of teaching and learning, especially online and blended. And this does not mean building online courses and calling them MOOCs.)

These API sets (and others I may have missed) would need to be supported by a strong developer program, funds allocated for several incubation initiatives with participation from private funds, R&D labs, education programs to build engineers and architects of future learning environments and many more. important aspects known to us from the experimentation & learning of the open community in discovering what works at scale.

Now imagine a time when these API are available (in fact a large number already are available in the open domain, they just need to be contextualized in some cases) for use by indigenous developers. They are not starting from scratch. They are not restricted by a monolithic RFP or scope. They are not constrained to be this one very large proprietary solution (although some may want to build such systems on top of the open stack, which is just fine). If things go well, a number of people will focus on developing alternative solutions to pieces of the puzzle, while others will integrate them into solutions that can be used in different contexts. No one size fits all.

This will give a boost to indigenous development, which at the current time is laboriously trying to build each component. It will bring about that strategic 10x inflection in edTech in India enabling thousands of providers, who are operating mostly in isolation, to get a framework around their efforts and build for scale. Strategic funding for R&D will help us achieve breakthrough innovations in teaching and learning at all scales. Private sector funding of edTech will find a purpose.

This is what the government should do. And only a government can achieve this at strategic scale, tying up all the piece of the supply and demand chains, particularly in a system so dominated by public education.

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Exploring a future without textbooks

Let us imagine a future. In this future, textbooks have been removed for students. The only people that have to use them are teachers.

This has solved many problems.

No longer do children have to carry heavy bags to school.

It discourages rote learning from a single source.

It forces certain habits of learning to be acquired by students. Students now have to pay attention in class and personalize their class notes. They have to be able to find content from different sources, including their own fellow students and peers. They have to start asking questions and being more engaged in class because there isn’t a fallback authorised expert true source.

Teachers on the other hand, can no longer rely on the textbook being available to students at home. They must choose other means to educate them. For this they have to provide alternate means or references that can act as starting points. They have a greater responsibility to ensure that students actually learn.

Publishers are forced to get creative because their staple business has just been disrupted. They start pushing resources in small chunks,  creating libraries online and offline. In general, books that students decide brings more value to them, if used at all, actually will get consumed.

This has also created many change issues. Teachers and students have to find new ways to negotiate the syllabus. They no longer have the comfort of a set collection of text and images to build a common experience around. It forces them to be innovative, exploratory and collaborative, skills that were in short supply earlier. Parents don’t have a single frame of reference either. To get around it, some teachers have started subverting the system by pointing the students, unofficially, back to the textbooks.

There is absolute chaos in the beginning as everyone in unprepared to learn. As days go by, people find ways to adjust and adapt. Some figure alternatives that perpetuate the old system while many others try out the new modes.

What if such a future was here?

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A brief introduction

Rhizomatic Learning is an important way to think about learning and teaching. It describes a learning experience where learning itself is organic and emergent, deeply driven by personal context, flexible boundaries and multiple pathways. It describes a teaching experience that sets the context, facilitates the inter-connections of ideas through conversations, and empowers the community to engineer their own curriculum.

Rhizomatic Learning builds up the core capability to learn in a distributed learning environment. It leverages all the attendant benefits of network-led and community-based learning, but distinguishes itself by describing a personal “self-reproducing” capability to learn.

The agency to learn rests with the learner and the learning community she is part of. The agency to teach is distributed among all the learners, who really establish the curriculum. The resultant is messy and complex, with individual outcomes possibly far in deviation to any expected outcomes from the community.

In Rhizomatic Learning, the definition of a “course” veers away from the traditional. It is a sense of time-bound evented-ness, a shared context which aggregates a community. It’s curriculum is formed by the community, that evolves and extends it continuously through prior knowledge and emergent opinions. It may engender several artistic and creative forms of expression, not necessarily formal artifacts associated with traditional courses.

Rhizomatic Learning is characterized by learning freedom. It draws heavily upon open-ness, lack of centralized control, autonomy, diversity and interaction. Freedom in learning drives most of the interactions, liberating the learning experience.

In contrast, Connectivist models uphold “connection-making”  as the primary source of learning and knowledge. There is connection-making in Rhizomatic learning, but that is merely a medium. The focus is on free, unrestricted sharing and unpredictable pathways in learning. In that sense, the afterthought focus on Critical Literacies in the cMOOCs, becomes the starting point for Rhizomatic Learning. What is “tidy” in  the network model, becomes messy in the rhizomatic one. The replication of learning capability in distributed environments is key – “more of how you can learn, is learning” of rhizomatic learning overwhelms the “those that have, get” rules of networks. In  that sense, rhizomatic learning is deliberately empowering personalized learning.

The Practical Guide

So what would a practical guide to Rhizomatic Learning contain for the learner? Having gone through so many years of learning in all modes – traditional, online, MOOC, rhizomatic – here is a summary of how I learn best. Perhaps there are learners like me who will resonate with my approach.

Liberate yourself

The first important thing to realize is that you are in control. You control what you write, how you perform, who you choose to interact with, the level of effort you put in, how you handle critique – in short, your behavior, goals, motivations, discipline and ethics play an important role in Rhizomatic Learning.

Express yourself regularly

If the community is the curriculum, each one has the capability to contribute, in whatever form of expression. In fact, try out new forms of expression, artistic or otherwise, to experiment with ways to put your point forward. You don’t know which part or form of your expression may inspire several others or motivate them to contribute. The point is to verbalize or demonstrate your participation in some way or the other. It is really important to be regular. Make it a point to express yourself at least once a topic or theme.

Keep Track

We will continuously get better at handling conversation technologies, but it is important to keep up with what others are expressing. Understand that other people will also use a variety of channels and techniques to communicate, and that conversation will sometimes get too unwieldy to keep track of. Navigating and coalescing your spaces into some form of organization convenient for you is important.

Small is better

Pick out threads that pique your interest, focus on a small idea at a time and track its development. These small ideas will eventually bubble up into larger perspectives. Interact in smaller groups, one idea at a time. Don’t “spray and pray” and always watch your stats (such as how many views, likes), because the act of expressing an opinion is itself a work of art – your art – which contributes to your own rhizomic development immeasurably. It helps to get and give concise feedback on small focused ideas. It also helps to give some time for the idea to develop, in your mind and through the interactions. So perhaps it is better to culminate a theme/week with your informed perspective.

Be responsive

It is incredibly important to be responsive to people and events, both in instances where you are explicitly part of the conversation and where you are not. Being responsive helps other people with feedback and a motivation to continue their rhizomatic learning. Respond to comments, like posts and comments where you agree, drop a line or two in response to a new contribution – there are many ways to be a proactive part of the community learning experience. I would include empathy and humor as two very important tools in rhizomatic learning.

Be rhizomatic

Above all, reflect on how you are learning. Use each interaction as an opportunity to build your capability to learn. Find what helped, explore a new direction of thought, make a friend, challenge an argument.

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The Open Text-based Assessment or OTBA was also notified on May 31, 2013 by the Central Board of Secondary Education. Applicable to select subjects in Class IX and XI, this was made a mandatory component of the Summative exams at the end of the year. Experts hired by CBSE have now made essays/case studies etc. based around the key concepts covered through the second term in that subject and told teachers to hold group discussions, facilitate exploration and to engage students in “discussion, analysis, self-reflection and critical thinking”. They want to discourage “mugging” and encourage active learning. As the circular states:

The main objective of introducing this element is to provide opportunities to students to apply theoretical concepts to a real life scenario by encouraging active and group learning in the Class.

In a later circular, it is reiterated that:

the main objective of introducing OTBA is to relieve the students from the burden of mugging up of content and provide opportunities in effective use of memory and acquiring skills of information processing.

And the board has actually supplied the content for the OTBA complete with sample questions and assessment “rubrics” (which are nothing but itemized phrases or key points, that if they appear in the answer to the question, may be considered worthy of being awarded the right score). The teacher is expected then to create questions based on a revised Bloom’s taxonomy, assign a marking scheme and keep an “open mind” setting aside own biases while grading an answer.

While the concept is laudable – in fact, this is greatly desirable as a technique – the implementation is and will continue to be a great challenge. It assumes and implies several things.

It assumes that teachers will be able to execute if oriented and trained. While this is a good “upward” aspiration, it is unlikely to be true on a significant scale as pointed out by the NCFTE 2009 report itself. The report bemoans that:

Teacher education programmes provide little scope for student teachers to reflect on their experiences…There is no opportunity for teachers to examine their own biases and beliefs and reflect on their own experiences as part of classroom discourse and enquiry.

Teachers who have not experienced or practiced lateral and critical thinking themselves are not going to be able to do so basis an orientation program or workshop conducted by the CBSE per se. For them to be able to do this, they will need extensive on-going coaching and mentoring.

The other thing is the format itself. The beauty of an open assessment like this is that it needs time in the classroom and beyond it to appreciate the text and its interdisciplinary nature. But if the text itself becomes a chapter-like construct, because the same text that is given in advance becomes the one upon which assessment is conducted, it has already negated the technique. In the end, publishers are incentivized to come up with yet another textbook around the passages and the child ends up resorting to cramming it, defeating the very purpose of the assessment.

Not just that, there is no evidence gathering mechanism to demonstrate what the in-class and beyond-class exploration and thinking around the text has really resulted in. This means that teachers have no compulsion to treat this as any different from what they normally do. Even if they  were able and willing, they have little prior experience in negotiating loosely structured learning processes.

Then again, the beauty of any such technique lies in the open interpretation of the text in the context of all the learning that the child goes through. However text based assessments are divided subject wise, automatically constraining the extent of interpretation and analysis to the chapter of the subject being taught. So it is not even a true case based approach. If it were, it would place even a greater load on teachers who would be expected to have that holistic approach and knowledge.

The other important thing is the naming of the assessment itself. The use of “open” as a qualifier to “text based” is contradictory in terms because it restricts the learning context to the text itself (and some supplied references, many of which are dead-ends for discovery and exploration of the theme). The text could be one starting point, but not the only one. And it must be clear of political overtones (like the preoccupation with the Swachh Bharat Abhiyaan).

In fact, if it was called open learning assessment, it would be much more appropriate. For these type of assessments, we cannot apply the same context as that for closed learning assessments. The concept is not new and even a cursory examination of the research on the web reveals practices, techniques and critical opinions (see also Can students also learn…) about open “authentic” assessments vs. traditional closed assessments. Of course, one cannot ignore other “get-around-it” methods such as plagiarization and cheating, which must be combated in these kind of assessments if they are truly open, but there are methods to handle these anomalies as well.

The question is how deeply are we thinking about these assessments and learning processes? Are we playing lip service or do we really think this can be a silver bullet? We need to think deeply about the ecosystem we want to foster for deep authentic learning – are our designs going to further learning or are they going to serve entrenched interests?

If we do really intend OTBA type assessments to result in something significant for our students and teachers, we need to address some deeper issues.

  1. How can we first engage our teachers (and teacher educators) in ways through which they truly begin to understand and appreciate “open-ness”? How do they start practicing open-ness? What practices and tools are they most comfortable with? How do we ensure that they are given a conducive environment to fill their own learning gaps?
  2. How can we start encouraging our students to learn new practices, especially the social and digital ones, to aid authentic learning?
  3. How can we plan this in a way that we have the ecosystem in place before we scale it to students and their parents? It is tiring to see students being guinea pigs of every new brainwave.
  4. What should the ecosystem contain? This should involve skills development in various areas (student, teacher, parent, school administration), community development for learning and practice, social online literacies, tools and platforms, audit and measurement leading to analytics and actionable insights, and other elements such as linkages with real-life scenarios, experts and data.
  5. Perhaps the greatest contribution in these can be made through cMOOCs, because they are truly fit for authentic learning. If platforms such as SWAYAM could be adapted to become the cornerstone of this approach, especially for technology enabled communities, this could really be the platform that would make this kind of learning and assessment possible. Why can’t every OTBA be a MOOC? For those who do not have access to technology or the Internet in a reliable fashion, what are the other ways of dissemination and collaboration (inter/intra-school debates, mock discussions, paper-writing and many other activities could be conducted)?

Is this plain lip service to open-ness and authentic learning? Or is it being thought of as this incredible silver bullet that at some point will transform Indian education. Either way, we need to think deeper urgently.

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My presentation at the Technology in Higher Education at the edTechNext conference today.

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Whither Indian MOOCs?

Today, India is at an important crossroad when it comes to MOOCs. Much has been written and spoken about the potential of MOOCs in this country. Unfortunately, most of the conversation has been around platforms. It has also centered around xMOOCs or XBTs as I term them, ignoring the rather rich discourse around the cMOOCs. And it has centered around who gets to own them (from a public resource perspective). This confusion has led to inevitable delays in the launch of a mainstream MOOCs implementation and accompanying policy. Is there a way out for us?

I think there probably is a way out. But first our educators and policy makers must fully understand core aspects of this revolutionary development in online learning and decide their strategy for the future.

The very first thing to note is that MOOCs are not (or should not be seen as) traditional eLearning. Online courses do not equate with MOOCs. The point of confusion is that bit about “online” and “courses” that confuses many people and leads them to conflate the two things. The distinction between what is meant by online and courses in MOOCs is really important to establish.

In MOOCs, “online” does not only just imply accessibility to digital resources using the technology behind the Internet and multimedia. Online implies the social, the neutral, the connected and the collaborative online practice of learning. Rather than focusing on the message, the focus is squarely on the medium. More than the content, the focus is on the connection and the “dance of conversation”.

Traditional eLearning was constructed within an older paradigm of the Internet that has completely revolutionized in the past few years. In that paradigm, putting WBTs (or web based training) on the web and then monitoring activity and scores with the occasional discussion forum, is the norm. Being predominantly an expedient, factory approach, we had to worry about packaging (SCORM/AICC), interoperability (LMS, Common Cartridge) and rich media (usually Flash/Flex) for interaction. Content factories had sprung up in countries like India to service the huge demand to create vanilla WBTs. These WBTs stereotyped learners, had self-contained learning (I don’t want to use the vitiated term “self-paced”) and were produced in low cost locations for budgetary reasons (cost cutting on face to face training and offshoring advantages). Content development is expensive and most organizations created page turners at scale. Few organizations spent large amounts on advanced eLearning development, such as for serious games and rich interactive WBTs. Return on investment in terms of learning was difficult to demonstrate, but the return on investment in terms of being able to “train” much larger populations at a fraction of the cost was demonstrable.

But the Internet changed. It became writable, connected, social, open and interoperable. However eLearning remained woefully the same, rooted in the old Internet. And when cMOOCs came along, powered by the new Internet, eLearning folks had no tools in their armory to adapt to them. So they ended up interpreting MOOCs as just very large eLearning courses. In fact, if you were to compare a xMOOC to an eLearning course, many people would not be able to tell the significant difference in approach.

With cMOOCs, however, George Siemens (who brought in the theory of Connectivism) had quickly realized that the Internet had changed, and eLearning needed a new approach (often called eLearning 2.0) in the face of supra-abundant information and connectedness. With Connectivism, learning is the process of making connections and knowledge is really a network (Stephen Downes). This meant that the role of the teacher (or instructional designer) had to change to someone who could “model and demonstrate” paths to learning and the role of the student had to be to “practice and reflect” through a greater connectedness. In that sense, learners had to become more heutagogical in nature with a deeper sense of and skill for learning.

The second difference is in the term “course”. The “course” in cMOOCs was a journey of way-finding and sense-making, with minimal facilitation. It is a bit of a stretch to use normal definitions of what a course is, in the cMOOC context. To take an extreme viewpoint, cMOOCs are a bit like learning on the tap, like learning to be, episodes in a continuous stream of learning that you can access by connecting to others. In cMOOCs, both structure and content are loosely defined, with the community determining the nature and the contours of learning (community as curriculum). This “un-course” definition flys in the face of standard understanding of the term “course” which has rigid membership, duration, curriculum and outcomes.

To take an example, in a “course” , the teacher would draft a course outline, supply readings and references, provide a tightly designed progression for learners (read this first, take a test, move to the next topic) and so on. Students are particularly dependent upon the teacher and work in a closed group. In a cMOOC, people form a loose network (open, no membership bar) based on interest, the community members decide to engage on a theme/topic, they supply (as it goes along) the resources that interest them and those they think will interest others, engage freely on certain ideas, contribute to and document/reflect upon their learning and use a plethora of tools they are comfortable with.

The cMOOC platform enables the conversation by aggregating the member contributions, making them accessible, remixing and repurposing them in forms that are useful to search/consume and feeding them forward to members and into newer directions not anticipated when the cMOOC was conceptualized. In this sense, learning becomes an emergent phenomenon with ever changing contours. And learners learn to adapt to these chaotic conditions and to self-organize in ways that are meaningful to them. This is what happens in real life as we learn and evolve. As Stephen Downes remarks:

“What happens,” I asked,”when online learning ceases to be like a medium, and becomes more like a platform? What happens when online learning software ceases to be a type of content-consumption tool, where learning is “delivered,” and becomes more like a content-authoring tool, where learning is created?”

Most people would say that the “course” has value in its traditional format. I do not dispute that. Instead what I am saying is that cMOOCs provide a real alternative to learning in that manner and so instead of ignoring that value, we should embrace this plurality.

The other part of the term talks about another two misrepresented terms – “massive” and “open”.

In popular terms, xMOOCs are known to be massive in terms of the number of students attending one course. However, this is only a conventionally acceptable meaning of massive. What massive also really means in the cMOOC context is to do with how connected the members of the network are (density), how quickly messages reach the members (speed), what is the consumption (flow) of messages in the network and how easily are connections formed and abandoned (plasticity).

To take an example, whenever new information or opinion reaches a node in that network (a member), if that node is disconnected or loosely connected to the rest of the network, the speed of the new information in reaching other nodes will be low, and the information may die before it reaches the rest of the network. In a world where our skill is dependent upon gaining  knowledge of things as they happen, this could be disastrous. Being disconnected or loosely connected with networks that bring us new learning and knowledge will only impair our education.

This is a sharp deviation from traditional eLearning, where these questions are not asked, because the network is the new Internet and eLearning still is stuck in the old Internet age. This implies that we will see the long tail in xMOOCs (where a large number of learners stay disengaged or minimally engaged with their learning, while a few exhibit intense activity) just as we did in traditional eLearning. And this is being evidenced by its high dropout rates.

The last term is “open”. Open-ness is interpreted in different ways in cMOOCs – free or fee, groups vs. networks (closed vs. open), no restrictions on membership, copyleft, diversity, unrestricted sharing, degree of engagement (yes, legitimate peripheral participation is also in evidence), risking public performance of learning (however incomplete), altruism, capacity to change, and ability to take criticism (or barriers to public display of learning). However, the major discourse around xMOOCs has been limited to just one or two of the dimensions listed above.

Hopefully, this understanding of the MOOC phenomenon is the first step that we in India can take while building a long term strategy. It’s important for us to appreciate the differences between traditional eLearning/xMOOCs/XBTs and step away to carve our own interpretations for our needs. If we are able to negotiate the transition successfully, an entire generation of learners will benefit. India has scale and that affords great opportunities for architecting powerful learning systems and for engendering better learners. Let us hope that this happens, rather than us aping the xMOOCs.

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First published in The Souvenir, FICCI Higher Education Summit 2014

Viplav Baxi makes the case that MOOCs have arrived in India. Now is the time to reflect on what pitfalls we should avoid and how we can fully leverage them in the Indian context.

The past few years have seen the rapid growth of Massive Open Online Courses (MOOCs). This emergence has been particularly interesting to follow in India, where we seem to have discovered online learning on a massive scale. Indians account for about 10% of the registrations in MOOCs from the top MOOC providers.

MOOCs actually originated out of a new theory of learning called Connectivism proposed by George Siemens in 2005. The first MOOC (the term itself was coined by Dave Cormier) was organized in 2008 by George Siemens and Stephen Downes. Hailed as a disruptive model of education, the earliest MOOCs (also called cMOOCs or Connectivist MOOCs) offered a whole new way of teaching and learning.

Much later, in 2011-12, top universities in the USA jumped on to the MOOC bandwagon, lending it worldwide credibility and fame. The reasons behind the quick adoption of these MOOCs was the fact that anyone could learn (or get certified), for free or a small fee, from some of the top universities and top professors in the world. Large investments by private capital and university foundations shaped popular perception about the revolutionary potential of these MOOCs. Also universities viewed them as extending the reach and brand of the University. Open Courseware had existed for a very long time, but the shape and form of these MOOCs was far more accessible and exciting.

MOOCs have now progressed from being higher education-only to school, teacher and vocational education. The top 3 MOOC providers now service about 20 million students worldwide, about 5 times the open and distance learning enrolments in India. MOOCs have also taken over imagination at policy levels, with the Indian Government proposing SWAYAM as the open MOOC platform for India.

However, there remain significant challenges with the MOOC model.

Firstly, the pedagogy behind these MOOCs needs a rethink. The type of MOOCs that have gained worldwide popularity since 2011, adopted the title “MOOC” but ignored the rich underlying Connectivist origins. They merely extended traditional online, instructivist Web Based Training (WBT) and Instructor Led Training (ILT) methods to a massive audience, earning them the term xMOOCs, the “x” standing for “eXtension”.

WBTs and ILTs were designed as eLearning equivalents to reduce training delivery costs and standardize instruction for large scale corporate training. But nearly everyone realizes that this type of eLearning is not scalable because it is designed for learner stereotypes, does not account for real world diversity and in general, predates and ignores the entire social learning revolution.

Both for WBTs/ILTs and xMOOCs, the model is largely teacher (and/or instructional designer) led and content-driven. It not based upon socially negotiated & distributed learning, the hallmark of the Connectivist MOOCs. This is why it is perhaps more appropriate to call them XBTs (or “massive” extensions of WBTs and ILTs) rather than think of them as a variant of the original MOOC approach.

The XBTs augment the traditional systems, giving importance to institutional pedigree, clearly defined institutional structures & processes (such as courses, terms and exams) and certification mechanisms.

The Connectivist MOOCs are very open, emphasize sense-making, operate in a distributed fashion, legitimize learners at the periphery (legitimate peripheral participation or “lurking”) and do not impose the strict conformance to traditional notions of course, exam and certification. For them, learning is the process of making connections and knowledge is the network, which means that the competency and capability to learn critically determines the learning itself. This is the central theme behind heutagogy – the study of self-determined learning – that, unlike pedagogy and andragogy, marks a significant move away from traditional teacher-centred learning.

It will be critical for MOOC providers to evaluate the Connectivist approach as we move ahead, if we are to build meaningful massive open online learning courses and platforms.

Secondly, engagement and retention are key aspects of the learning experience that the MOOCs, in general, have not been able to address effectively. The long tail of learning, which is that a really large number of learners end up not completing the MOOC or remain at low levels of engagement, is nothing new. It is just that the massive nature of MOOCs amplifies some of these known issues.

It is here that the MOOC providers need to spend a lot of time experimenting with techniques such as gamification, badges, adaptive learning and learning analytics. The Connectivist model relies on learners to build capability for their own learning, something that is the desired endgame for any educational system. By increasing learner capability to learn in the digital medium, cMOOCs can potentially flatten the long tail. The traditional XBT model can only reinforce and amplify it.

The third challenge is in establishing sustenance & growth models, whether MOOC providers are for-profit or not for-profit. So far, providers have looked at monetization/cost recovery through various methods such as charging institutions or teachers for MOOC development; charging potential employers; platform provision; training & support; charging students for blended (online plus offline) learning, mentoring/coaching, special finishing school programs and certification.

For example, Coursera now has about 10 mn students and is supposedly making USD 1 mn a month from its verified certificate courses that cost between USD 30 and USD 100. However, even though these models do not appear to have garnered explosive acceptance from a retail student perspective since they are not really integrated into formally recognized certifications, the hope seems to be to acquire large enough numbers to translate into sustainable and/or profitable ventures.

An interesting comparison for XBT providers are the formal open and distance learning systems, where regulated degrees & certificate programs drive enrolments and fees & endowments drive the income. The UK Open University in 2012-13, earned more than GBP 200 mn as fee income (about 60% of which were supported by student tuition loans) from over 200,000 students. The Indira Gandhi National Open University in India, has an annual enrolment of about 500,000 students (in 2012 annual enrolment was 465,000 students), but the fee per course would be a fraction of the fee charged by the UKOU. Of course, the XBT providers are looking at multiples of these figures as they go about targeting a global audience.

The fourth challenge lies with a weak private/non-profit investment climate for MOOCs in India. Significant public effort and money has and is being spent across various pioneering Government initiatives to build open education resources (OERs), MOOCs and MOOC platforms. These can be leveraged by anyone under a very permissive OER policy, which even allows commercial use. However, barely any private investment is flowing into leveraging these resources.

Innovations and investments are required in multiple areas such as awareness generation, access to technology and communications, capability development, content development (including multilingual), pedagogy, development/enhancement of MOOC platforms, collecting and managing learner progress and performance data to improve the learning experience, as well as areas like gamification, Virtual LABs and other forms of technology augmented learning. These innovations and investments should directly impact our education system in terms of improved access, improved learning outcomes and higher employability.

To summarize, MOOCs have arrived, but if we do not deal with these core challenges of MOOCs, we will end up having a dysfunctional system. To avoid later disappointment, stakeholders must reorganize and focus on how to avoid the pitfalls of the current wave of MOOCs.

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The interesting MOOC on MOOCs conducted by Dr. T V Prabhakar from IIT Kanpur and Dr V Balaji from Commonwealth of Learning is in week 3. The theme itself is reminiscent of the CCK MOOCs, which did a deep dive into the Connectivist origins of the original MOOCs. It is timely also because India is really on the verge of something special in this area.

Sir John Daniel, one of the experts in Open and Distance Learning, has the following points to make in his video lecture contributed specially for the course.

  • Open and Distance and Online learning did not start with MOOCs or even the Internet.
  • Putting courses online does not automatically improve their quality.
  • MOOCs are a good example of how computers and networks have increased the power and possibilities of ODL but they lack some of the vital ingredients of a good learning system. Many do not include Holmberg’s “guided didactic conversations” between learners and teachers and most do not include student assessment and certification.
  • Everything depends on the design of the teaching learning system around the students’ needs.That must be the next step in  the development of MOOCs.
  • In most cases, MOOCs are still simply information distribution systems
  • Why have MOOCs been so slow in tackling the challenges of interaction and assessment? Because early 2012 MOOCs were by exclusive universities.

In his 2012 article, Making Sense of MOOCs – Musings in a Maze of Myth, Paradox and Possibility, Sir John Daniel makes some important points:

We also agree with Bates that current xMOOCs pedagogy is pretty old hat but this will now change fast. Even if Coursera gave its partner universities great freedom in course formats in order to sugar the pill of signing the contract, this will quickly produce a great diversity of approaches and much healthy experimentation.

Placing their xMOOCs in the public domain for a worldwide audience will oblige institutions to do more than pay lip service to importance of teaching and put it at the core their missions. This is the real revolution of MOOCs.

In a more recent article for the Montreal Digital Conference to be held next month, Are MOOCs the long-awaited technological revolution in higher education?, Sir John Daniel makes some important points:

  • It is unlikely that MOOCs shall be considered a revolution in Higher Education unless they are also able to perform the core functions of that system – “the authority to award degrees, diplomas and qualifications”.
  • Quoting Laurillard who questions whether MOOCs are solving global education problems like access to universities, spiraling student debt and low graduate pay, he presents MOOCs as perhaps being more useful in professional and vocational development.
  • The viability of building and maintaining MOOCs for universities are also called into question. They do not represent a significant return on investment (like the UKOU’s tracking of students who enrolled revealed that 1500 students had prior contact with its free media implying an 8% return on investment in free media) if considered for student recruitment, nor are they likely to make as much money in services like proctoring and assessments as compared to private operators. He sees certification and employee recruitment as the most promising end-uses of MOOCs.

In talking about the legacy of MOOCs, he writes:

This transformation of the methods of teaching and learning will be the primary legacy of MOOCs. It will not be a revolution but it will have a long-term impact on the way higher education operates, much like the important evolutionary stimuli in the earlier history of universities that we examined earlier.

Talking about OERs, he states:

The creation and use of OER developed steadily, but without fanfare, for the next decade. OER were the long fuse that detonated the MOOCs explosion.

On why MOOCs will not be revolutionary for Higher Education,

MOOCs are not revolutionary, both because higher education develops by evolution and also because MOOCs mostly do not lead to formal qualifications. MOOCs are, however, the harbingers of an important transformation that will lead to much greater use of online technologies in teaching, research and academic service.

Not surprisingly, he concludes:

Quality and the quality assurance of ‘post-traditional’ higher education, like the certification of its outcomes, is one of the greater challenges of these new forms of teaching and learning...Our first conclusion is that we should not await a revolution but rather expect digital innovations to transform practice in an incremental manner...Second, the present disruption being caused by digital technologies is a constructive process. We shall see a flurry of evolutionary change as institutions adapt to the new niches that innovations are creating. Third, it is important to let experimentation continue so that the viability of various models for using technology in teaching, learning, assessment and certification can be tested. This is why it was dangerous to present MOOCs as the contemporary revolution in higher education. Fourth and finally, this exciting phase of evolution poses a special challenge for quality assurance, which is caught on the horns of a dilemma.

Daniel is trying to situate MOOCs (specifically xMOOCs) in the Higher Education context, terming them an evolution and not a revolution, experiments that need far more innovation, currently unable to meet global challenges like student debt, unable to perform core functions such as awarding degrees and a logical evolution of the open and distance learning, OER, digital innovations and online learning paradigm. I think Daniel is saying that the incremental innovations in teaching and learning of the xMOOCs will bring about the real revolution over a period of time.

There is also a fleeting aspiration in what he writes:

In the long run heutagogy and cMOOCs may have a greater impact on the evolution of teaching and learning in higher education in an information age than the more common xMOOCs, some of which learners can find trivial rather than confusing.

and from the Musings article:

We quote Illich to emphasise that the xMOOCs attracting media attention today, which are ‘at the intersection of Wall Street and Silicon Valley’ (Caulfield, 2012), appear to have scant relation to those pioneering (Ed: cMOOC) approaches.

As George Siemens writes while distinguishing between x- and c-MOOCs in What is the theory that underpins our MOOCs?:

As stated above, there is overlap between our model at that of Coursera/EDx. However, Coursera/EDx emulates the existing education system, choosing instead to transfer it online rather than transform it online.

Clearly, xMOOCs are an extension geared for the traditional system of education, where at University or online, open and distance. By his own admission, cMOOCs are pioneering approaches that may have a greater impact on teaching and learning in the long run.

The contention lies in whether Daniel thinks that the xMOOCs and cMOOCs are milestones on some kind of a continuum of evolution of higher education, or whether they are, as I firmly believe, two completely different systems altogether. In my opinion, we could better call the xMOOCs something else so that we are able to focus on the potential of cMOOCs in a better way – perhaps call them XBTs or eXtended-Web Based Training, just like the earlier generations were called CBT and WBT.

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I think we are at an inflection point in online education in India the way Andy Grove from Intel had nicely framed in his book, Only the Paranoid Survive.

Andrew writes of how a 10X change in any one force, namely:

  • Power, vigor and competence of existing competitors
  • Power, vigor and competence of existing complementors
  • Power, vigor and competence of existing customers
  • Power, vigor and competence of existing suppliers
  • Power, vigor and competence of potential competitors
  • Possibility that what your business is doing can be done in a different way

can result in profound changes to our business.

Why do I say this? In the past 2-3 years, there have been several interesting things that have emerged.

MOOCs have arrived on the Indian education scene in an informal way gathering unprecedented response from our students. We have the second largest country presence in MOOCs globally with over 2+ mn registrations. This is important to note in the context of total enrolment in open and distance learning in the country which stands at around 4.5 mn. Although the two are different models solving different needs (at this point), it is a far cry from year 2002 when at egurucool.com we were happy having 20,000 subscribers to our online K12 products. This amazing student response to MOOCs has been fueled by social media and networks. Although we have yet to see business models emerge, but they will. And surely this marks a 10X change in the power, vigor and competence of existing customers.

The Government has invested (and is investing) heavily in the creation of open education resources, software and technologies for eLearning for a while now under the NMEICT. For many streams of education such as Engineering (NPTEL) and humanities, arts and social sciences (CEC), a large corpus of open resources have already become available at the under-graduate level (post graduate level work has also been initiated). The NPTEL Youtube channel has now accumulated over a 100 mn hits and over 290,000 subscriptions. Similar efforts by the NROER team are going to make huge amounts of content available for school educators. High quality content becoming available for adaptation and delivery (under the CC-by-SA license), open software for live classrooms and learning management, research in haptics and many other such developments are definitely set to increase the power, vigor and competence of existing suppliers and potential competitors. Early movers such as MyOpenCourses & ClassLE and many traditional players (such as the publishers) are now starting to leverage these resources. The Government too is investing in building up new platforms and content for MOOCs.

In parallel, complementing technologies such as those for gamification, big data analytics, mobile apps, 3D printing and others are finding their way into the Indian expertise lexicon. We can already witness, for example, the power of data analytics used by school performance evaluation tools.

In what may constitute a tipping point, among other possibilities, if the government legitimizes MOOCs by offer credit transfer, recognition and other measures reserved for the traditional degree and diploma courses (and for vocational education), or if the body corporate or professional associations decide to put their stamp on nanodegree like non-formal learning and employment pathways or if universities (including distance education) adopt MOOCs as part of their curriculum, it will catalyze and harmonize these 10X changes. Business models will emerge, quality and scale challenges will be mitigated, and problems of faculty skill & shortage will be ameliorated.

I believe the inflection point, if we are not there already, will be reached fairly soon, catalyzed by some of these possibilities. What do you think?

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Udacity throws out the MOOC?

As Thrun was being praised by Friedman, and pretty much everyone else, for having attracted a stunning number of students–1.6 million to date–he was obsessing over a data point that was rarely mentioned in the breathless accounts about the power of new forms of free online education: the shockingly low number of students who actually finish the classes, which is fewer than 10%. Not all of those people received a passing grade, either, meaning that for every 100 pupils who enrolled in a free course, something like five actually learned the topic. If this was an education revolution, it was a disturbingly uneven one.

We were on the front pages of newspapers and magazines, and at the same time, I was realizing, we don’t educate people as others wished, or as I wished. We have a lousy product,” Thrun tells me. “It was a painful moment.” Turns out he doesn’t even like the term MOOC.

Sebastian Thrun, Udacity, in an interview with Max Chafkin of FastCompany. November 14, 2013

Well, there it is folks. After two years of hype, breathless proclamations about how Udacity will transform higher education, Silicon Valley blindness to existing learning research, and numerous articles/interviews featuring Sebastian Thrun, Udacity has failed.

No one did more of a disservice to MOOCs than Thrun through his wild proclamations (“we have found the magic combination for online learning” and “in the future there will only be 10 universities”, digital learning manifestos, and so on) and self-aggrandizing. No one will do more damage to MOOCs as a concept than Thrun now that he realizes how unfounded his statements actually were.

This is not a failure of open education, learning at scale, online learning, or MOOCs. Thrun tied his fate too early to VC funding. As a result, Udacity is now driven by revenue pursuits, not innovation. He promised us a bright future of open learning. He delivered to us something along the lines of a 1990′s corporate elearning program.

George Siemens, The Failure of Udacity, November 15, 2013

“At the end of the day, the true value proposition of education is employment,” says Thrun in an incredibly revealing statement. In other words, the purpose of education is to have a job not to make one. To be a worker, not a manager and not an entrepreneur. Let’s be honest. This is not the value proposition of Stanford.

So yeah, perhaps it’s easy for many in higher education to shrug and sigh with relief that Thrun has decided to set his sights elsewhere. But if we care about learning – if we care about learners – I think we need to maintain our fierce critiques about MOOCs. Who is the target audience? Who is the “ideal student”? Why is crappy pedagogy okay for “them”? Who owns these students’ data? After all, there are no FERPA protections if you aren’t taking federal dollars. In this framework, it’s all for sale.

Audrey Waters, Why We Shouldn’t Celebrate Udacity’s “Pivot”, November 14, 2013

Thrun seems to have ‘discovered’ that open access, distance education students struggle to complete. I don’t want to sound churlish here, but hey, the OU has known this for 40 years. It’s why it spends a lot of money developing courses that have guidance and support built into the material, and also on a comprehensive support package, ranging from tutors, helpdesk, regional study centres and so on. But of course, none of the journalists and certainly not the new, revolutionary people at Udacity wanted to hear any of this. They could solve it all, and why hadn’t higher education thought of this before?

Martin Weller, Stop me if you think you’ve heard this one before, November 15, 2013

Well, people should know that:

  1. cMOOCs predate Mr. Thrun & Udacity (as well as the other xMOOCs) by many years; the MOOC moniker was usurped by big money and brand; the first MOOC was in 2008 and started by George Siemens, Stephen Downes and Dave Cormier
  2. cMOOCs offer a theoretical basis and practical demonstrations of heutagogical and technological dimensions of connective learning while xMOOCs are mere extensions of online and distance instructivist learning and not the singularly large and disruptive changes they claim to be
  3. xMOOCs will continue to exist for the limited purpose that they are useful for (e.g. whatever allows them to make money); cMOOCs shall continue to evolve organically (a lot of questions still need answering there)
  4. The problems of  learner motivation, power laws (dropouts), employability etc. are not new anywhere in the world and have confronted all of education (online or offline) for quite a while now. cMOOCs may be able to offer a substantial improvement in this regard, and more and more research and experimentation is needed here
  5. The problems of education in the world today are too big and varied to be solved by any one magical silver bullet; there will be plurality – one only hopes that good sense and solid research will back that plurality and not brand & money

Mr. Thrun (and others) at the helm of xMOOCs resemble the hare trying to outrun the proverbial tortoise. As George said, this is their own failure, not the failure of the open learning movement.

However, I would like to congratulate Mr. Thrun on his moment of truth. We all make mistakes and we should learn from them. I just hope the others are listening in and will acknowledge Mr. Thrun’s sentiment as being something that will resound with them.

And I would encourage the xMOOCs, having got the momentum and visibility, to start engaging with the cMOOC community and co-create new models that will help us solve key problems afflicting all of us today.

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There are two ways one could think of the life-cycle of a MOOC. MOOCs could be thought of as one-time and episodic. They could also be thought of as ecologies, sites or environments for continual learning (for example, a series of MOOCs on the same topics, such as CCK), not use-once-and-throw episodes of learning. I prefer the latter, although some may say the MOOC itself may not be likened to an ecology.

I like the idea of MOOCs as ecologies because communities and networks get created at the site of a MOOC and their value extends beyond the lifetime of a single occurrence of the MOOC. When MOOCs are run as a series of continuously or discretely evolving episodes, they act to extend these communities and networks, each addition bringing fresh insights and diverse experiences into the mix.

This extension is one of the things that really bring the distinction between MOOCs and the traditional courses to the forefront. MOOCs leave a trail of learning experiences, of conversations, that are visible to learners that participate in each succeeding episode. In traditional settings, this knowledge is stored and refined by teachers only who use it to make their teaching more effective over time. However, these are distilled insights, not visible to the learner.

Why I also like thinking of MOOCs as ecologies is that they are shaped by the behavior of agents within them. The agents (instructors, students, administrators, marketing agencies) actively engage with each other. If they collectively succeed in building engagement and value, the ecology thrives. If they are not, we see more skewed participation rates, and the ecology disintegrates quickly.

MOOCs as ecologies also imply that students can remain connected to every episode. So they learn incrementally with every episode they participate in. This has not been addressed clearly and explicitly by MOOCs as yet. In many ways, students who have participated in one or more episodes learn how to stay abreast of the developments in the field of study through their ever-expanding network presence.

Within the MOOC ecology, focus shifts from the content and instructor to the degrees of interconnectedness and interaction in the networks that constitute the MOOC. Conversations become the key to successful learning. Modeling learner interactions and measuring efficiencies at learner, network and MOOC levels becomes very important to gauge the state of the ecology. Each MOOC series contributes, in a dynamic manner, to the understanding of these group dynamics and efficiencies.

For MOOC designers, this should become an important component of your design. Thinking of MOOCs as ecologies allows you to focus on the learning experience and how you can garner insights into how participants want to engage, over successive episodes of learning.

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Stephen Downes puts it succinctly when he says:

MOOCs were not designed to serve the missions of the elite colleges and universities. They were designed to undermine them, and make those missions obsolete.

Yes there has been a great rebranding and co-option of the concept of the MOOC over the last couple of years. The near-instant response from the elites, almost unprecedented in my experience, is a recognition of the deeply subversive intent and design of the original MOOCs (which they would like very much to erase from history).

The subversion of MOOCs in the past two years by the elites has been more prominent than the subversion by MOOCs of the elites. Stephen makes the intentionality explicit for MOOCs (cMOOCs) when he states that the design of the cMOOCs was explicitly to provide agency to people who cannot afford to walk the pathways of the elite.

The argument goes, obviously much far ahead than just this. The Connectivist principles “(L)earning is the process of making connections” and “(K)nowledge is the network” predicate a complex system where outcomes cannot be precisely designed for predictable outcomes – something that traditionalists cannot ever agree with.

Case in point. I am part of several corporate and non-corporate content development initiatives. One of those is in teacher education (teacher educators, student-teachers and teachers). The traditionalist notion is still where one can design the best content that takes care of most of the audience, with experts becoming the single point and authoritative source for knowledge.

After all, no teacher can go wrong if she follows the lesson plan made by an expert who knows the subject and the learning challenges inside out through experience.

I am confident that this claim is absolutely incorrect. The lesson plan was conceived, implemented and evolved through multiple iterations by an expert in specific settings (language, audience, regulatory environment, subject complexity, expert’s own capability to deliver, access to resources, and many other unique experiential parameters).

This is the reason why the taste of food when one person makes it is in one location with local ingredients is different from another preparation of the same dish using the same ingredients, perhaps in a different location, by the same or a different person.

Add to that the temporal complexity itself – that the same dish when tasted by the same person may really not taste the same to her on two different occasions because initial conditions have changed up to the point of consumption.

Add to that the implicit assumption that all experts can, in fact, design. It is not immediately obvious that they can, and that area of design itself is extremely specialized and needs training and continuous evolution.

What happens in reality is that good teachers are able to learn and adapt the expert’s advice to what is applicable to their own context. When they adapt, refashion, integrate and deliver the ideas of the expert for their audience and environment is when they become active co-creators and designers themselves.

All this means that the notion of teachers as receptacles is as pervasive as the notion of students as receptacles of boxed knowledge. We shall continue to educate our educators the way we educate our students – a moronic impasse that perpetuates the traditional system rather than subvert it.

I am also concerned the way the subversion of cMOOCs is really happening. The following debilitating arguments are frequently made by the traditionalists:

  1. We need teachers. Don’t think that this will replace them.
  2. Technology cannot substitute for proper teaching in institutional contexts.
  3. MOOCs are unproven methodologies, unsuitable for rigorous academic endeavors
  4. MOOCs are the work of eLearning enthusiasts
  5. MOOCs are the logical next step in taking the traditional systems online, but quality can only be reliably determined by the traditional system
  6. Experts are the best instructional designers of content. Best in breed content can be created for maximal effectiveness.
  7. Many more such arguments…

Well, as arguments that display a only a cursory understanding of the cMOOCs, these are chimerical and obstructionist. The arguments that must be focused on are altogether different.

  1. How can one design learning environments for emergence and self-organization?
  2. How can one measure evolution of the networks that form one’s learning in ways that are meaningful to self and to the rest of society?
  3. How do learning networks evolve and adapt – at personal/atomic and multi-node levels?
  4. How do we architect content and connections so that they become intelligent about and aware of the needs of the network?
  5. And many other such questions…

But for us to focus on these, we must make many more attempts to really understand what cMOOCs stand for, how subversive they really are, what impacts do they have on teaching and learning and what ultimately, is the promise of adopting these systems. Perhaps a visioning statement from Stephen, George and Dave would be appropriate at this juncture.

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Democracy requires intellectually armed political activism to succeed. MOOCs (cMOOCs) provide an unprecedented occasion to demonstrate the power of connective learning for democracy, just as much as they demonstrate the democracy of connective learning.

The four letters that make up the MOOC abbreviation are as apt as a stage for political protest as for our education system. The Massive, Open and Online aspects of the MOOC lend themselves well to democratic deliberation. It is the “C” which provokes this post and fuels my hopes of leveraging MOOCs as instruments of democracy.

The C in MOOCs stands for “course”. It is rather loosely and controversially defined, because the MOOC looks nothing like its traditional namesake – the closely bounded, rigidly structured component of a curriculum. Perhaps that it why it requires the first three letters to qualify it. Of course, there was much deconstructive debate about this in 2008, particularly around the notion of the “un-course” which did gain some momentum.

What if democratic debates were structured as MOOCs? So far, most democratic conversations end up as inaccessible and lost footnotes to a blog post or a FaceBook like. Frequently they are tokenised into signature campaigns or opinion polls, as a measure of democratic discourse.

Most of the current instruments suffer from severe deficits. They do nothing to promote connectives of citizens who engage with vast linked networks of “knowledge”. They do not allow sustained, visible conversation. Nor do they allow citizens to build the necessary level of competence to understand the complexities of any issue being discussed. They do not scaffold citizen learners in ways that promotes their own learning. And they certainly do not reflect much more than the immediate, surface reactions in any debate.

MOOCs as political instruments would overcome deficits such as these and promote democracy. They would act as opinion-shapers, citizen-competency builders and massive hubs that collate the huge amount of information being generated today by individuals and the mass media.
The mechanisms of the MOOC will ensure that the networks these MOOCs create will result in credible outputs – something no xMOOC or traditional course can ever dream of achieving, placed as they are in the traditional system of education.

What will these credible outputs be? Firstly, any one passionate or interested in building an independent thought-competence over an issue will instantly be exposed to networks that has diversity of thought, opinion and conversation. Next, these networks will allow smaller networks of people to coalesce based on their thinking and capabilities, leading to  cohesive multi-faceted thinking and learning on various aspects of an issue. Thirdly, and most tangibly, these networks with their (ideally) open nature, will not sport specific political agendas, making them a strong force within democracy.

And why stop here? Why not consider MOOCs for health, poverty and many of the ills that surround us today, locally and globally? Thoughts?

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Carlos Salerno over at Inside HigherEd wrote a piece on the Bitter Reality of MOOConomics. The major point he makes is that because students need to acquire credentials from top universities/colleges for better employment prospects whereas colleges are loath to provide these credentials through MOOCs because they have no barriers to entry (in terms of student proficiency or past credentials), what incentive does the student have to participate in MOOCs?

Inaccurately suggesting that the MOOCs were born at “two of the nation’s most elite colleges” and suspecting that the MOOCs, rather than being “evolutionary equivalents of modern-day humans”, are more equivalent to Neanderthals, Carlos makes the following conclusion:

Still, what our elite higher education institutions have produced in the MOOC looks and feels like one of Ford Motor Company’s futuristic concept cars – something that provides a vision for how tomorrow might look, or which includes niche features that may be built into near-term models, but in its current form is simply not road-ready.

I don’t quite understand the parallel and I sincerely hope that no MOOC be ever considered a product that can be “road-ready” and sold/operated like that. It is a testimony to our current trying times that we are looking at these college MOOCs as being representative of the Connectivist philosophy, as a recipe that solves the problems of employability or of student choice and as an evolutionary development in educational systems (rather than a transformative one).

Jeffrey Young has a great article over at The Chronicle where he analyzes the Coursera contract and possible business models around MOOCs. Essentially Coursera and other private companies are following the model of getting to market quickly and then adapting to “consumer” demand quickly, rather than a deeply thought model for solving our current challenges.

My belief is that there are operative (business and non-commercial) models here. However, we need to recognize the potential for transformation. This potential cannot be realized unless we leverage the power of connective learning.

At the heart of such a MOOC model are a few things.

  1. A Connectivist way of being (learning as a process of making connections, knowledge as the network, changing roles of teachers and students, critical literacies, learning analytics)
  2. Learning As a Platform rather than a preset configuration of pedagogy, content and technology (the primacy of the interaction)
  3. The learning network itself
  4. Acceptable methods for measurement of proficiency (this is as yet largely unsolved at scale; and there may be instances where that measurement is totally unnecessary)
  5. An emergent operational system that is driven and designed keeping in mind that learning is a complex adaptive system (as experimented with in CCKxx)

If we are able to keep these principles in mind, business and operative models will follow. The challenge is now more to understand that the college MOOCs are not representative of these principles. Rather, they perpetuate (riding on the brand equity of these colleges), an existing system – which is also why companies like Coursera will benefit.

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Audrey is grumpy and unhappy about the massive dropout rate vs. the hype of the open courses. She writes:

I’m starting to get more than a little grumpy about MOOCs, what with all the hype about the revolutionary disruptions and game-changing tsunamis. I’m tired of the mainstream media punditry and their predictions that Stanford University’s experiments with online education (and by extension now Coursera and Udacity) will change everything; I’m tired of Silicon Valley’s exuberance that this could mark the end-of-the-(academic)-world-as-we-know-it – a future that its press, its investors, and its entrepreneurs are all invested (sometimes literally) in being both high tech and highly lucrative.

And she goes on to say:

While aspiring to learn is, indeed, worth celebrating, I can’t imagine anyone seriously argue that aspiring to learn is sufficient. Yet The Atlantic suggests the low success rates are “a sign of the system’s efficiency.”
 
And perhaps as these MOOCs are all just experiments – hyped experiments, but experiments nonetheless – we can shrug and say it’s great folks want to learn and, alas, it’s a pity when they don’t. Perhaps. But when we praise the failure to complete a class (a failure to learn) as “efficiency” and simply stop there, then I’m not sure what we’re building with MOOCs even rises to the level of what Dean Dad calls a “useful extra.” I’m not sure we can even know that it’s useful at all.

This is symptomatic of the adaptation the MOOC idea has gone through. Where many people are amazed (including George who says “I can’t recall a time when universities at one moment have responded en masse as aggressively and as collaboratively” ) at the response in  the past few months, and others like Audrey mix scepticism with an open-ness to engage with the medium, I want to take a step back and talk about some of the major learning from the MOOCs starting 2008.

For me, and many others in CCK, the question of comparisons between existing systems and the MOOC model did not really exist – it was like comparing apples to oranges. There isn’t anything like the existing system (no vocabulary) that exists in a MOOC (except for the name, which has “course” in it).

We were witnessing the emergence of a new way of thinking about teaching and learning. New catchphrases – “Learning is the process of making connections”, “Knowledge is the network”, “to teach is to model and demonstrate, to learn is to practice and reflect” – emerged out of these original MOOCs.

The MOOCs taught me to appreciate emergence, complexity, self-organization and chaos in my learning, both at an individual level and at a group level. Perhaps the most difficult for me to “learn” was the absence of determinism in learning, except that negotiated during the process.

Learning then became something more than the sum of its parts. I have not seen a connectivist implementation of a learning experience that can stand against the traditional LMS and social collaboration add-ons (although George has been working on such an initiative) based learning experience, which focus on the parts rather than the whole. And there exists no pedagogical or andragogical recipe for a MOOC the way Coursera and others may want to advertise.

The vocabulary elements that indicate accomplishment and learning have not been been conceptualized for MOOCs. That is an important thing to remember (and Stephen could have something with his chess game analogy). Neither, more than conceptually, have we talked of the notion of competency. We are at a state of the art in Connectivism today that, in my opinion, defies implementation to any significant degree, for if we had, Audrey would be less grumpy.

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Unflipping the flip

I have been really curious and a little wary of the “flip” (flipped classroom, flipping the classroom) kind of frenzy recently. Basically, it seems to mean that we flip:

  • Students into teachers
  • Homework into Classwork
  • Classwork into learning by self or network, guided or unguided
  • Hallways and Social spaces into Classrooms
  • Closed curriculum to open
  • Degrees to badges
  • Fixed learning periods to flexible learning time, anywhere
  • Fellow students into collaborators

Doubtless, there will be more interpretations, each taking a part of the fabric of conventional education system and creating delightful flip variations. Perhaps one day, there will even be a few frameworks and associated evangelists that will claim to be the experts on flipping the classroom, and people who will ask “How do I flip the lesson on Newton’s First Law”.

There are also valid voices that question the flip. I would add that a whole lot of teachers may just not be able to deal with the flip – it places a great pressure on teachers to…actually teach. Jay is right in worrying about the flip faring the same way as eLearning did. The fact is, like anything, we will do well to ignore the hype and concentrate on the core learning from these flips.

The core learning is not that we have a found a presumably efficient way of utilizing classroom time, or that we have found a great way to bypass degrees as credentials for jobs we aspire for, or even that we have just realized how good it is to have high quality online material and great classroom engagement.

The core learning, at least for me, at a systemic level, is that we have relaxed the boundaries of the conventional system without breaking them. We are still inside the box. This is not a disruption (or transformation George would say), it’s  a distortion of the contours of the educational system – an internal shift or re-arrangement of factors, perhaps even an innovation.

The clearest evidence of this is that the flip is not able to do away with the vocabulary of conventional systems, nor is it adding any new vocabularies that did not exist earlier. A test is a test. A group project is a group project. Hallways are still in a school. Content is online or mobile instead of in a book or through a projection device. Competencies are still defined and used the same way. Badges are mini-degrees (if backed by MIT and Stanford?).  As George says, “the difficulty is that you can’t have structure leading.”

Furthermore, it would do well for someone to ask whether the conception or the implementation failed of the traditional system. After all India flipped from an ancient gurukul system to a British system not too long back. It would make sense to delve into the flip and see whether it will share the same fate.

But then, perhaps, it will be enough to just distort and not transform.

The MOOCs that I have attended aren’t anything like these flips. They add vocabulary. They do not take an existing model and rearrange it or make it more efficient. They are not definitive recipes for change-mongers. They are complex, adaptive, emergent, chaotic systems. As Dave Snowden wrote to us during EDGEX, “you can design something that will manage process, can’t define outcome”. That approach is transformative, because then you are looking at the core issues that an educational system is expected to address – not outcomes, but process.

George provides a set of 8 distinctions between the MOOC model and the model that is being implemented by initiatives such as EdX and startups like Coursera. The vocabulary of the MOOC really emerges in these distinctions. The belief that these initiatives follow a MOOC model are misplaced (perhaps because the phrase Massive Open Online Course has been literally implemented by a few).

At present, these initiatives are nothing more than extensions/combinations of the self paced elearning and instructor led virtual models, automated assessments in some cases, with the added spice of learners being able to collaborate online and being promoted by individual and institutional brands (acceptance) – hardly a disruption. In fact, the reason such flips will continue to attract students (even though a meagre percentage would actually certify), is because a brand pull exists or marketing dollars will be spent.

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MOOCs and Content Stores

Every instant someone is learning, or trying to learn the same thing as you are. Every moment, someone apart from you is solving the same problem. Every moment, someone is searching for the same thing that you are.

There is an immediacy in learning, in the learning at that instant, that has awesome proportions and purports for scale. MOOCs as environments with techniques for sense-making and connection-making, provide the ideal melting pot for that immediacy.

There is also the flip side.

Every instant of your learning someone has encountered before. Every problem that you solve, someone apart from you has solved before. Every thing you search for, in all probability someone has searched for the same thing. At least, in general, more or less.

MOOCs have the potential to operate as massively linked content and artifact stores. The amount of knowledge, information and analysis that I have seen in the MOOCs so far, are crying out for someone to figure the semantics for (rather than Instagrok-ing or Wolfram-ing our world).

The challenge is in the nature of the MOOC, an initial unwillingness to stereotype either content or interaction in terms that we have known before (Learning Objects, DITA, SCORM and so on) – which is both good and bad. Good because it does not enforce standards (which are anyways antithetical) and bad because, seriously, this has massive potential.

In fact, I think a measure of the success of MOOCs should perhaps be the quality of connections and sense-making experiences that the MOOC has engendered. Did the MOOC help learners in their sense-making and does it allow them to make connections to people and resources in a way that aids the learning experience (whatever that may be).

To measure that, MOOCs would need to have underlying principles that allow this measurement. For example, learning analytics attempts to capture data about visible elements of the learners’ experience (in fact, as I write this, I am listening to George’s audio recording at Change11, and he is talking about how information elements gets lost in the mass of learners!). One of the underlying principles is, as George says, the principle that there is an adaptive, changing structure that is influenced by the participants of the MOOC.

My own sense is that a certain “understanding” or “framework” can be usefully constructed at two levels. In ways, as Stephen metaphorically said, we are drawing our lines in the sand rather than wondering what the sand really is. Here is my interpretation of the sand.

  1. One, at the level of net pedagogy, there are conversation capture mechanisms (I call these native collaboration) that can be created or become more intelligent without imposing on the open and distributed nature of participation. We already have audio recording, elluminate recording, individual and course blogs and a variety of other social media tools among other platforms as part of the MOOC environments. I think it is time that the structure, connections and content behind the learning experience are studied to devise a shared understanding.
  2. Two, at the level of technology, there must be ways to allow that kind of capture, to consolidate learning experiences, to even connect one MOOC with another on several dimensions (people, content, experiences and other patterns) of the network. George makes the important connection – learners have evidenced their preference for creating their own personal spaces (and identity) on the MOOC. In a way, this ties in with a load of conversation around Personal Learning Environments.

Further, I don’t feel that these are necessarily unique to MOOCs, but that these elements of pedagogy and technology, could in fact be used seamlessly in other systems as well.

Building environments for MOOCs to anchor themselves to, and to enable connections between MOOCs that can benefit from shared experiences, connections and content, can (IMHO) have a transformative impact, if balanced with an open architecture that allows autonomy, extensibility and simplicity. It will be important to provide core technology services that will enable capture, sharing and analytics among other things to enable an entire generation of teachers, facilitators and learners to adopting the MOOC style.

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I have been meaning to catch up with the interesting discussion happening around MOOCs. I believe that there will be and should be plurality of approaches and intentions – they are the inevitable accompaniment to change itself. The top tensions in the conversation are:

  • How do MOOCs compare with other initiatives like the Stanford AI? Should they be compared at all? How is the MOOC experience different from the others in both design and execution?
  • Should MOOCs be seen as disruptive and liberating futures of education, or as incremental improvements to existing educational systems? Should they be posted at all as alternatives to degree or continuing education programs?
  • What skills do learners require to navigate these new learning environments? Does it require that they be motivated, socially enabled and have certain Critical Literacies? Should we worry about motivation or presume it? Is learning an art that can be acquired through reflection and practice or is it a science that can/should be rigorously taught?
  • Is there intentionality in the design/conception of a MOOC? Should we be moving away from the assumption that MOOCs exist to teach something (as opposed to arguing whether learners can chase their own goals)? If so, how is it different from the way things are today on the Internet and with social media?
  • Are theories other than Connectivism able to explain these phenomena accurately? Can/should existing theories be reframed effectively for these types of experiences? Is the Connectivist mode, just as for other theories, like the principles behind the steam engine – evidenced anywhere, anytime?
  • What are the benefits that can be derived from such open systems? Are these benefits comparable to the perceived benefits from traditional closed, semi-open systems?

George indicates that this is a process of experimentation, rather than a prescription yet. But not necessarily one that should or does preclude entrepreneurs from adopting it or universities using and promoting their brand to differentiate themselves with. Stephen indicates that we would be better off thinking afresh, rather than treating them as another way of doing the same thing. Dave indicates how the Cynefin framework and the Rhizomatic learning approach can be interpreted in the context of what a MOOC can help one achieve.

The goals of education are variously defined to include a humane & progressive society, inclusive & equitable development, growth & innovation and a host of other goals that arise from awakened and aware individuals. The goals of training are to ensure repeatability in performance and the ability to handle emergent situations.

Theory and Practice are clearly differentiated by challenges of scale, diversity, infrastructure and operations. While Theory may predicate how things should be, Practice dictates what things are – and there are substantial gaps between the two that cannot be resolved by changes in Theory or Practice alone. This is true, not just in Education.

Thus while theories may suggest that Connectivism or Cognitive Apprenticeship or any other theory be the best way for someone to learn, the practice may leave much to be desired. In fact, trying to systematize any theory/philosophy at scale has always been a challenge. This is the core problem that faces us today, so much so, that we have questioned repeatedly the industrial nature of the education system. Of course, there will always be much to be said and debated about one theory over the other.

Which is why it makes sense to experiment with another paradigm which is closer to the way things are and much more in tune with what our goals from Education and Training are. Such a paradigm embraces complexity, questions the existing design and intentionality, while at the same time attempts to meet the same overarching goals. It is necessarily incomparable and requires a new acceptance from people willing to experiment, to craft it into Practice.

The new paradigm is at once more scalable, more respectful of diversity & personal needs, more inclusive & progressive, and most importantly, addresses just those issues that are really crippling the existing paradigm.

In Practice, there is still a long way to go to see how that acceptance can occur in an emergent manner. There are questions around the temporality of learning for specific needs, the need to assess (internal or external) learning for performative reasons, the assurance of learning in such environments, the use of technology, heutagogical considerations and many other important areas. These cannot be answered by rebuttal, but by cooperation. And it must be done by mechanisms that respect complexity and open-ness.

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I was reading with interest Stephen Downes’ critique of Anya Kamenetz’s approach in her book DIY-U. I am reading Anya’s book, but could not help writing this post, even though that exercise is incomplete, so I beg your indulgence.

The point Stephen is making is definitely not just academic. The term DIY (do-it-yourself) affords primacy to the individual and is application based. Over time sites like eHow and companies like Home Depot, realizing different needs (cost saving, interests, job compulsions), put together a set of material (books, online guides, community trouble-shooting and advice etc.) to put structure to “learning” specific things with the objective of being able to apply them in a specific context.

This took the form of learning packages, not unlike our monogamous WBTs (web based training) formats. Now these are being extended by the affordances of the networked digital economy like open access, social search, social networking and location awareness. This is very akin to the way our LMSs have evolved. They started with learning packages (which evolved into standards based packaging like SCORM), and then as the network surfaced, they added the “social” to it and called them the next version / next generation social collaborative learning management systems. That is also why these vendors cannot seem to position the Edupunk version as the alternative and have ended up creating a “me-too” add-on feature set for “informal learning”.

There is a deeper malaise, one that Stephen also points to. We are thinking inside the box (very un-Edupunk), when we do try to map an existing system with a new alternative way of doing things keeping the existing system as the base reference. Edupunks (I am hoping) will not look at taking the affordances of an educational system and propose an alterative that will map to its “benefits” or affordances. Rather, they will stand outside the box and raise questions about whether the box really is what we need (why not look at the sphere next to it or why look at all at a closed bounded object). This is similar to combating the oft-heard argument or stance – “technology cannot replace the classroom”. Stephen is right to remark – “It’s establishment thinking combined with a good dose of offloading costs.”

A direct consequence of thinking like that is the “objectification” of learning and the learning process. The approach is to “objectify” or treat learning as a structured process with pre-identified participants, an approach which tries to build a marketplace and commodifies learning. Teachstreet, for example, has the tag line – “Learn Something New” – exhorting us to “find great classes and courses”. Similar to how Anya talks about “content and skills”.

The MOOC Edupunks have demonstrated the way to think outside the box – of becoming rather than doing or getting, of being able to measure your performance. And in doing so, they have exposed core principles of how learning happens (at least their perspective). There is great learning happening as well, as the MOOCs & accompanying deliberations evolve. No one claims to have the final recipe (maybe because none is needed or even possible), which is also why DIY is perhaps a bit presumptuous. But the focus on thinking outside the box rather than inside it is the biggest contribution being made to start with.

What is required is greater investigation into “design” of connected environments, into techniques/patterns that underlie the conversation itself, into technologies and designs that support these connections – in a way that does not translate into “design” of learning, like in the traditional system.

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