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

Is Connectivism a New Learning Theory – Part 2

Here is my response to George and others’ comments to my previous post of Is Connectivism a New Learning Theory?

Hi George, Agreed that the theory has to work at an individual level, and it would have to explain and predict how your learning could or do occur. My questions to you include: How do you learn? How has learning occurred to you?

Do you learn through building and or navigation of networks (aggregation, curation of information sources), personal level (neuronal-level connections, thinking and reflection of personal experience (what sort of changes in behavior?), and way of thinking with conceptual connections of various concepts based on those experiences (sense-making)?

In this way Connectivism is based on a thesis that learning is a networking phenomenon and that knowledge is where one could sense and recognise the pattern emerging out of the building and navigation of the networks. Learning is then a dynamic process, with certain adaptive properties associated with the networks, which could happen under a Complex Adaptive System and Knowledge Ecology (Chatti, 2012) (such as a MOOC). This means that when information changes, a person would need to examine the knowledge pattern resulting from those changes. The MOOC movement and the implications are good example illustrating such knowledge pattern. No one single expert (of MOOCs) so far has fully been able to definitely explain the knowledge and learning that are embedded in MOOCs for both the networks and individuals.

However, when individual professors and all associated learners are co-evolving and co-learning with the learners, each would sense the learning emerging out of the interactions or engagement, with some perceiving knowledge and learning with different degrees of meaning – based on sense-making.

Professors and learners (some, if not all) would each define their way-finding (goal setting, learning how to explore their own pathways) resulting from those exploration, connections, engagement or interaction. These sort of learning also result in various interpretations of what constitutes self-determined learning, self-organising learning (both individually and networks and groups) and emergent knowledge and learning, apart from prescriptive knowledge and learning.

There are people who may learn and interact differently from those as defined under the “formalised” and theorised learning approaches, based on legitimate peripheral learning (as peripheral learners) or other reasons (<a href=”http://www.col.org/SiteCollectionDocuments/MOOCsPromisePeril_Anderson.pdf&#8221; rel=”nofollow”>Anderson, 2013</a>).

Such patterns of both individual and social learning are repeated appearing in various forms throughout the cMOOCs, and also re-emerging in xMOOCs despite the “assertion” that the pedagogy is based on Mastery Learning. Indeed, you could associate the learning associated with Connectivism to be an integration of the previous learning theories of behaviorism, cognitivism, constructivism and situated learning (and COPs) all based on connections and interactivity (Connectivism).

May I relate to my previous post:”How would a connectivist approach work? Yes, you still require the deconstruction of the student’s existing thinking, but not just based on the teacher’s input. Rather, you would suggest the students to be immersed in networks, based on navigating activities and the using of appropriate tools or media (i.e. media and technology affordance), in exploring about the “right” and “wrong” concepts, and discerning those right from wrong through navigation tools and reflective thinking. This is similar to what I have suggested here:

The concepts that are crystallised through such networked learning may be based on the ability of the learner to recognise and interpret the pattern (i.e. principally on the navigation and exploration, with or without the teachers), rather than the demonstration of the teacher and explanation of the concepts via “Constructivism or Social Constructivism”. This means that the concept development under Connectivism is far more reaching than the typical “classroom” or social networks environment, but would also include technological and media enhancement for its nourishment.”

There are lots of factors which could impact or influence a person’s learning under such a knowledge ecology (MOOCs), including the authority and power exerted through formal authority, professors, peers etc. and the emotional and affective dimensions (likes/dislikes of certain aspects) emerging from the interaction with course, professors, experts, networks, peers, preference of learning based on individual learning styles, autonomy and self-determination or organisation of individuals, and most importantly personal educational and learning experience which would ultimately impact on one’s perception and appreciation or adoption of those properties of networks – openness, diversity, autonomy, and connectivity or interactivity.

Thanks again for your valuable comments and insights.

References:
Anderson, T. (2013). Promise and/or Peril: MOOCs and Open and Distance Education (accessed 3/5/2013)

Chatti, M. (2012). The LaaN Theory

The Learning as a Network Theory by Chatti

This ‘The Learning as a Network Theory (LaaN Theory)’ by Chatti provides an excellent overview of various learning theories, together with the introduction of LaaN Theory and how it could be used to help learners build and nurture their Personal Knowledge Networks.

Chatti explains:

The major role of LaaN is to help learners build and nurture their Personal Knowledge Networks and to foster connections between different PKNs in order to form a complex, adaptive, dynamic, open, and living entity; i.e. a knowledge ecology.

The primary focus of LaaN is mainly on the learner and her PKN and complex network learning is the type of learning best explained by LaaN.

Chatti further elaborates on the differences of each of the learning theories – Behaviorism, Cognitivism, Social Constructivism, Communities of Practice, Activity Theory and Actor Network Theory, and how each of them differs from the LaaN Theory.

Reference:

[PDF] The LaaN Theory

MA Chatti - … , Networks, and Knowledge, G. Siemens, S. …, 2012 – learntech.rwth-aachen.de
99 days ago - One of the core issues in Technology Enhanced Learning (TEL) is the
personalization of the learning experience. It is widely recognized that effective and efficient
learning need to be individualized–personalized and learner-controlled (cf. Attwell, 2007;