From Best Practice to Creative, Innovative, Emergent and Novel Practice with MOOCs

I have often come across instructional designers and institutions grappling with best practice, in instructional and curriculum design.

A research on instructional design indicates the various “best practices” ranging from teacher-centered approach with LMS, to learner-centered approach with PLE/PLN.

Here in a paper on MOOC-Design-Principles.-A-Pedagogical-Approach-from-the-Learner by Lourdes GuàrdiaMarcelo MainaAlbert Sangrà:

focus on empowering learners in networked environments for fostering critical thinking and collaboration, developing competence based outcomes, encouraging peer assistance and assessment through social appraisal, providing strategies and tools for self-regulation, and finally using a variety of media and ICTs to create and publish learning resources and outputs.

These MOOC Design Principles are well argued and grounded.  In reflection, there are many useful strategies that are applicable both for the c and x MOOCS.  I would argue that these are based on emergent practice rather than best practice experience.

What sounds like best practice often doesn’t deliver to its promise, despite huge efforts in promoting and educating various designers, instructors and assessors.  Why?  The reasons lie mainly with the assumptions behind what makes best practice, especially in MOOCs.

In my previous post relating the differences between x and c MOOCs in attracting number of participants, I discuss on:

4. Degrees of difficulties – xMOOCs are much easier compared to cMOOCs.  This is grounded on that in xMOOCs, the instructors would have done most, if not all of the ground work necessary for teaching and learning for the learners.  What the learners are normally expected to do would be to consume the knowledge transmitted or broadcasted to them, and to confirm their understanding of the concepts through repeated quizzes or assignments.  This requires certain perseverance from the learners, though it is possible to achieve a high or perfect score in test, assignments and examinations through drills, repeated practice, as is common in a rote learning scenario.   The use of standard answers in the case of multiple choices, true/false, or short case scenarios, could all be checked with automated grading or assessment software.  For peer assessment, these are done in a closed manner, with the merits of “protecting” the learners from being “criticised” in public, but the demerits of being critiqued by only a few participants (4-5 other peers) in the whole evaluation.  Nevertheless, this seems to be well accepted as a way to assessment in the xMOOCs, as that might be the only feasible and reliable way to assess students in an institutional environment, without overly involving the professors in the assessment.

On the other hand, cMOOCs are much more difficult in terms of the wide array of skills and capabilities – such as a thorough understanding of the various artifacts posted, an evaluation of the artifacts, an aggregation of information, and the re-mixing, re-purposing or re-creating of posts that are based on knowledge creation and re-creation.  These artifacts or posts are also publicly available for assessment by peers and other educators, leading to further critique and discourse.  The main assessment has still been based on the feedback of the instructors, in the case of for-credit participants, though the assessment for non-credit participants are based on an optional basis, without any particular feedback report from the instructors (as this is not possible for the instructors to deal with massive number of participants).

5. Perceptions of learners – xMOOCs are based on 1,2,3 above, and 4 – learners – cMOOCs would have to curate resources and create blog posts/join forums.  The centralised platform (LMS) typically employed in the xMOOCs may be much simpler than the blogs and Personal Learning Environment/Network (PLE/N) as used in cMOOCs.

6. Pedagogy – xMOOCs employ a familiar pedagogy – mastery learning based on an instructivist approach (behavioral/cognitivist strategy) and peer assessment, whilst cMOOCs employ a relatively demanding pedagogy – social constructivist/connectivist approach which could sound chaotic at first sight.

xMOOCs rely principally on video lectures, resources posted on the LMS/main course website,  followed by questions, quizzes, some forum discussions, assignments, tests and examination.

cMOOCs rely principally on the connectivist principles as proposed by George and Stephen, with networked learning and connectivist knowledge based on aggregating, re-mixing, re-purposing and feed-forwarding of information.  As I have suggested here.

I still think the notion of best practice would be applicable only to simple scenarios of the Cynefin Model as developed by Dave Snowden.  You could have good practice under complicated learning scenario.  In the case of complex learning scenario such as MOOCs (especially in cMOOCs), then it is important to realise the emergent practice which is relevant, rather than good or best practice.  In the case of chaotic learning scenario such as cMOOCs,  novel practice is required in the curriculum and instructional design.

In summary, design of curriculum and instruction for MOOCs could be based on sound design principles as the research into MOOC reveals.  It would be imperative to move from best practice to creative, innovative, emergent and novel practice in the case of MOOCs, based on the needs of the learners, and the learning context, rather than the traditional “best practice”.  One size doesn’t fit all, especially in learning in MOOCs and so it would be necessary to consider emergent design learning principles rather than the “static” instrumental didactic instructivist approach in MOOCs (such as xMOOCs).

Pictures: From Google image

Cynefin model images

Cynefin model 2 images

How to explain the current xMOOCs in terms of education model and pedagogy?

Daniel in his post of  a criticism of computer science models or modeles says:

The problem is made worse by the fact that researchers working on modèles more easily get the upper hand. They are never wrong. They can endlessly refine their modèles and re-evaluate them. As long as there is no actual problem to be solved, the modèles will tend to displace the models. Cargo cult science wins.

Of course, the reverse phenomenon may exist within industry. People working with modèles are at a disadvantage. They can’t make useful predictions. They can only explain, in retrospect, what is observed. All their sophistication fails to help them when real-world results are what matters.

I agreed with Daniel’s views.  How would this scientific model be applicable to Higher Education?  Or can we really explain the MOOCs phenomena using the scientific modelling?

May I share some ideas below, which I think is relevant to the building of models in education?

What I noted in recent years is that ideas and concepts seem to be more convincing than the empirical data and experimental proof, especially in “social science”. Why?

As Clayton Christensen mentions here, most academics are looking for data for analysis before they would make recommendations for further action in the introduction of innovation.  The first cMOOCs were run based exactly on Theory (Connectivism as a new and emerging learning theory, as proposed by George Siemens and Stephen Downes).  The xMOOCs were again run based on the Theory of Instructivism where Mastery Learning and Video based learning (coupled with flipped classroom) would work.

The current MOOCs proved that is the case, based on the assumptions that Mastery Learning and Instructivism are what drive learning to be achieved, though “peer learning” was added when researchers later found it had happened.  The video lectures were again “augmented” with the flipped classroom model, in order to explain why xMOOCs are so successful as a special pedagogy, where the whole phenomena was explained with a post-mortem basis.

There have been some researches done in explaining the cMOOCs movement from the basis of Complexity Theory and Chaos Theory, Self-organizing Theory and Theory of Emergence.  Not many people seem to have applied that in the case of xMOOCs.

Indeed, when we examine the xMOOCs pattern of education and learning, the whole notion of learning could be explained when individual learners interacted with the content and made use of the LMS as a platform for some of the information sources.  The participation and completion did fall under a similar pattern to the cMOOCs though xMOOCs are normally far “richer” in terms of the information provision and “instruction” via the video lectures.  Indeed the quizzes and examination are merely “transferred” from the typical face-to-face courses, only that they are all based on auto-grading, and thus address some of the challenges that once weren’t fully covered in cMOOCs.

So, my conclusion is that people often tried to explain a phenomena by pre-conceived and well-designed instructions and wonderful pedagogy in order to fulfill the self-fulfilling prophecy, which may unfortunately not always be representing the actual pattern of education and learning that has taken place.  The current xMOOCs can likely be explained much better through the interaction learning theory, with Complexity Theory of Education and Theory of Emergence, and Connectivism as a model of education.  There are obvious conflicts to the mission of education under an institution framework, as the low completion rate of MOOCs don’t align with original goals set off in Higher Education.   There are many major conflicts with institution mission as mentioned by Clayton Christensen in the discussion of MOOCs.

Here is how a cMOOC work, and that could explain partially why xMOOC work too.

Who controls the world?

Here are some take-away from James B. Glattfelder’s talk on Who Controls the World.

1. Complexity is the result of simple interactions. The system as a whole is starting to behave in ways which cannot be understood or predicted by looking at the component of the system.  Examples of emergence include termite and mold.  The concept of emergence relates to the property that the whole is more than the sum of its parts.

2. Every complex system is understood as a network of interactions.

James quoted the example of The Network of Global Network Control.

Ownership networks:

Nodes: firms, people, governments

Links: percentage of ownership

Value of firms

3. Who are the key players?  Who controls the world?

4. Are ideas and concepts more important than empirical data?

5. With 36% TNCs, but 95% value, does it follow Power Law?  Controls accumulate at the nodes.

6.  It seems self-organization are operating in these networks, rather than top-down approach in the control of these networks.

How would such learning be applied to education?

The present trend of the rapid expansions of MOOCs (see also this Class Central list) and open online education courses (such as Open Universities) do exhibit most of the properties of Complex System and Complex Adaptive System, especially when education is now open to public, and to the world.  I have shared the ideas and concepts on Knowledge Ecology and how the different agents have interacted and co-evolved under a changing education system.

The current MOOCs are demonstrating various behaviors which cannot be understood or predicted by looking at the component of the system.  At the start of the MOOCs movement, all elite institutions refused to accept MOOCs for credits to their degree programs, and thus deny the recognition of any completion of MOOCs as equivalent to the academic studies in their institutions.  Now Georgia Tech is partnering with Udacity to offer online Master Degree Program.  Would this change the dynamic of degree offering for Higher Education Institutions?

I have shared in my post: “Mission and money are now blended together when considering MOOCs under an institutional framework.  This seems to be a time where a critical mass of institutions and learners have justified the promotion and adoption of MOOCs in a global arena of Higher Education.”

It seems the three major players in xMOOCs – Coursera, Udacity and edX are now constituting approximately 90+% of the MOOCs provision and the associated investments (approximation based on the Ivy League table, though this needs to be updated).  There are however new MOOCs players such as Future Learn in UK, Open to Study in AustraliaFirst MOOC for Denmark, coming on board in 2013-2014 and this would soon change the network dynamics of MOOCs.

Would the ideology of MOOCs be democratizing education?

Would the ideology of MOOCs be monetization, commoditization and privatization of Higher Education?

How would those ideologies impact on global Higher Education?

What could we learn from Complexity Science, when applied in Education?

I will be creating a few posts on Complexity Education soon.

Here are some relevant sources of information.

MOOC (300)

MOOC_web_final_wheel03

moocs update (1)