December 23, 2014

Choosing design models for a digital age

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Image: http://www.keepcalm-o-matic.co.uk/p/keep-calm-and-make-the-right-choice-3/

Image: http://www.keepcalm-o-matic.co.uk/p/keep-calm-and-make-the-right-choice-3/

Oh, dear, it appears that I missed out in posting the conclusion to my Chapter 6, on Models for Designing Teaching and Learning for my book, ‘Teaching in a Digital Age’, so here it is:

Choosing a model

This chapter covers a range of different design models or approaches to teaching. There are many more that could have been included. However, it is clear that there is a choice of possible models, depending on a number of factors, most of which are listed in Chapter 5, Building an Effective Learning Environment.

Your choice of model will then depend very much on the context in which you are teaching. However, I have suggested that a key criterion should be the suitability of the design model for developing the knowledge and skills that learners will need in a digital age. Other critical factors will be the demands of the subject domain, characteristics of the learners you will likely be teaching, the resources available, especially in terms of supporting learners, and probably most important of all, your own views and beliefs about what constitutes ‘good teaching.’

Furthermore, the models by and large are not mutually exclusive. They can probably be mixed and matched to a certain degree, but there are limitations in doing this. Moreover, a consistent approach will be less confusing not only to learners, but also to you as a teacher or instructor.

So: how would you go about choosing an appropriate design model? I set out below in Figure 6.20 one way of doing this. I have chosen five criteria as headings along the top of the table:

  • epistemological basis: in what epistemological view of knowledge is this model based? Does the model suggest a view of knowledge as content that must be learned, does the model suggest a rigid (‘correct’) way of designing learning (objectivist)? Or does the model suggest that learning is a dynamic process and knowledge needs to be discovered and is constantly changing (constructivist)? Does the model suggest that knowledge lies in the connections and interpretations of different nodes or people on networks and that connections matter more in terms of creating and communicating knowledge than the individual nodes or people on the network (connectivist)? Or is the model epistemologically neutral, in that one could use the same model to teach from different epistemological positions?
  • 20th century learning: does this design model lead to the kind of learning that would prepare people for an industrial society, with standardised learning outcomes, will it help identify and select a relatively small elite for higher education or senior positions in society, does it enable learning to be easily organised into similarly performing groups of learners?
  • 21st century learning: does the model encourage the development of the soft skills and the effective management of knowledge needed in a digital world? Does the model enable and support the appropriate educational use of the affordances of new technologies? Does it provide the kind of educational support that learners need to succeed in a volatile, uncertain, complex and ambiguous world? Does it enable and encourage learners to become global citizens?
  • academic quality: does it lead to deep understanding and transformative learning? Does it enable students to become experts in their chosen subject domain?
  • flexibility: does the model meet the needs of the diversity of learners today? Does it encourage open and flexible access to learning? Does it help teachers and instructors to adapt their teaching to ever changing circumstances?

Now these are my criteria, and you may well want to use different criteria (cost is another important factor), but I have drawn up the table this way because it has helped me consider better where I stand on the different models. Where I think the model is strong on a particular criterion, I have given it three stars, where weak, one star, and n/a for not applicable. Again, you may – no, should – rank the models differently. (See, that’s why I’m a constructivist – if I was an objectivist, I’d tell you what damned criteria to use!)

Figure 6.20 A comparison of different design models

Figure 6.20 A comparison of different design models

It can be seen that the only model that ranks highly on all three criteria of 21st century learning, academic quality and flexibility is online collaborative learning. Experiential learning and agile design also score highly. Transmissive lectures come out worst. This is a pretty fair reflection of my preferences. However, if you are teaching first year civil engineering to over 500 students, your criteria and rankings will almost certainly be different from mine. So please see Figure 6.20 as a heuristic device and not a general recommendation.

Common design characteristics

It is worth noting that, once again, there is extensive research and experience that point to the key factors to be taken into consideration in the successful implementation of teaching, whichever design model is being used. In essence we are talking about using best practices in the design of teaching. Although different design models have different approaches to teaching, there is a significant number of the core principles in the design of teaching and learning that extend across several of the design models. These can be summarised as follows:

  • know your students: identify the key characteristics of the students you will be or could be teaching, and how that will influence your methods of teaching
  • know what you are trying to achieve: in any particular course or program what are the critical areas of content and the particular skills or learning outcomes that students need to achieve as a result of your teaching? What is the best way to identify and assess these desired outcomes?
  • know how students learn: what drives learning for your students? How do you engage or motivate students?  How can you best support that learning?
  • know how to implement this knowledge: What kind of learning environment do you need to create to support student learning? What design model(s) will work best for you within that environment?
  • know how to use technology to support your teaching: this is really a sub-set of the previous point, and is discussed in much more detail in other chapters
  • know what resources you have, and what can be done within the constraints you have to work with
  • ensure that the assessment of students actually measures the intended learning outcomes – and unintended ones.

Design models and the quality of teaching and learning

Lastly, the review of different models indicate some of the key issues around quality:

  • first, what students learn is more likely to be influenced by choosing an appropriate design model for the context in which you are teaching, than by focusing on a particular technology or delivery method. Technology and delivery method are more about access and flexibility and hence learner characteristics than they are about learning. Learning is affected more by pedagogy and the design of instruction.
  • second, different design models are likely to lead to different kinds of learning outcomes. This is why there is so much emphasis in this book on being clear about what knowledge and skills are needed in a digital age. These are bound to vary somewhat across different subject domains, but only to a limited degree. Understanding of content is always going to be important, but the skills of independent learning, critical thinking, innovation and creativity are even more important. Which design model is most likely to help develop these skills in your students?
  • third, quality depends not only on the choice of an appropriate design model, but also on how that approach to teaching is implemented. Online collaborative learning can be done well, or it can be done badly. The same applies to other design models. Following core design principles is critical for the successful use of any particular design model. Also there is considerable research on what the conditions are for success in using some of the newer models. The findings from such research need to be applied when implementing a particular model.
  • lastly students and teachers get better with practice. If you are moving to a new design model, give yourself (and your students) time to get comfortable with it. It will probably take two or three courses where the new model is applied before you begin to feel comfortable that it is producing the results you were hoping for. However, it is better to make some mistakes along the way than to continue to teach comfortably, but not produce the graduates that are needed in the future.

Even when we have chosen a particular design model or teaching approach, though, it still has to be implemented. The remaining chapters in this book will focus then on implementation.

Feedback, please

1. What other criteria might you have used for deciding on an appropriate model?

2. Is this the best way to make a decision about a particular design approach to teaching? If not, how would you go about it?

3. Any other comments about design models for teaching and learning? Any important ones missed?

Next

Chapter 8, on ‘Understanding Technology in Education.’ (Chapter 7 on MOOCs has already been published.)

A ‘starter’ bibliography on design models for teaching and learning

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Image: © educatorstechnology.com, 2014

For the increasing number of students doing Masters’ dissertations or Ph.D’s on course or instructional design I have collected together for convenience all the references made in my chapter on course design models for my open textbook, ‘Teaching in a Digital World.’ However, there are many other publications – this cannot be considered a comprehensive list. Also note the date of this blog post: anything published after this will not be here, unless you let me know about it. I also tend to give preference to open access publications, which means that there are a lot of articles in academic journals not on this list that should be there.

In return, I would really appreciate other suggestions for references that you have found to be valuable or influential (open access or not.).

Adamson, C. (2012) Learning in a VUCA world, Online Educa Berlin News Portal, November 13

Banchi, H., and Bell, R. (2008). The Many Levels of Inquiry Science and Children, Vol. 46, No. 2

Bates, A. and Poole, G. (2003) Effective Teaching with Technology in Higher Education: Foundations for Success San Francisco: Jossey-Bass

Brindley, J., Walti, C. and Blashke, L. (2009) Creating Effective Collaborative Learning Groups in an Online Environment International Review of Research in Open and Distance Learning, Vol. 10, No. 3

Brown, J. and Duguid, P. (2000). “Balancing act: How to capture knowledge without killing it”. Harvard Business Review.

Cambridge, D., Kaplan, S. and Suter, V. (2005) Community of Practice Design Guide Louisville  CO: EDUCAUSE

Christensen, C. (2010) Disrupting Class, Expanded Edition: How Disruptive Innovation Will Change the Way the World Learns New York: McGraw-Hill

Collins, E. (2013) SJSU Plus Augmented Online Learning Environment Pilot Project Report San Jose CA: San Jose State University

Dick, W., and Carey, L. (2004). The Systematic Design of Instruction. Allyn & Bacon; 6 edition Allyn & Bacon

Engle, W. (2104) UBC MOOC Pilot: Design and Delivery Vancouver BC: University of British Columbia

Entwistle, N. (2000) Promoting deep learning through teaching and assessment: conceptual frameworks and educational contexts Leicester UK: TLRP Conference

Garrison, R., Anderson, A. and Archer, W. (2000) Critical Inquiry in a Text-based Environment: Computer Conferencing in Higher Education The Internet and Higher Education, Vol. 2, No. 3

Gijselaers, W., (1995) ‘Perspectives on problem-based learning’ in Gijselaers, W, Tempelaar, D, Keizer, P, Blommaert, J, Bernard, E & Kapser, H (eds) Educational Innovation in Economics and Business Administration: The Case of Problem-Based Learning. Dordrecht, Kluwer.

Harasim, L. (2012) Learning Theory and Online Technologies New York/London: Routledge

Herreid, C. F. (2007). Start with a story: The case study method of teaching college science. Arlington VA: NSTA Press.

Irby, D. (1994) Three exemplary models of case-based teaching Academic Medicine, Vol. 69, No. 12

Kirshner, P., Sweller, J. amd Clark, R. (2006) Why Minimal Guidance During Instruction Does Not Work: An Analysis of the Failure of Constructivist, Discovery, Problem-Based, Experiential, and Inquiry-Based Teaching Educational Psychologist, Vo. 41, No.2

Knox, J. (2014) Digital culture clash: ‘massive’ education in the e-Learning and Digital Cultures Distance Education, Vol. 35, No. 2

Laurillard, D. (2001) Rethinking University Teaching: A Conversational Framework for the Effective Use of Learning Technologies New York/London: Routledge

Larmer, J. and Mergendoller, J. (2010) Seven essentials for project-based learning Educational Leadership, Vol. 68, No. 1

Marcus, G. Taylor, R. and Ellis, R. (2004) Implications for the design of online case-based learning activities based on the student blended learning experience: Perth, Australia: Proceedings of the ACSCILITE conference, 2004

Marton, F. and Saljö, R. (1997) Approaches to learning, in Marton, F., Hounsell, D. and Entwistle, N. (eds.) The experience of learning: Edinburgh: Scottish Academic Press (out of press, but available online)

Meier, D. (2000). The Accelerated Learning Handbook. New York: McGraw-Hill

Moon, J.A. (2004). A Handbook of Reflective and Experiential Learning: Theory and Practice. New York: Routledge Falmer.

Morrison, Gary R. (2010) Designing Effective Instruction, 6th Edition. New York: John Wiley & Sons

Paloff, R. and Pratt, K. (2005) Collaborating Online: Learning Together in Community San Francisco: Jossey-Bass

Paloff, R. and Pratt, K. (2007) Building Online Learning Communities: Effective Strategies for the Virtual Classroom San Francisco: Jossey-Bass

Pask, G. (1975) Conversation, Cognition and Learning Amsterdam/London: Elsevier (out of press, but available online)

Salmon, G. (2000) e-Moderating: The Key to Teaching and Learning Online London: Taylor and Francis

Scardamalia, M. and Bereiter, C. (2006) Knowledge Building:  Theory, pedagogy and technology in Sawyer, K. (ed.) Cambridge Handbook of the Learning Sciences New York: cambridge University Press

Smith, M. K. (2003) ‘Communities of practice’, the encyclopedia of informal education, accessed 26 September, 2014

Strobel, J. , & van Barneveld, A. (2009). When is PBL More Effective? A Meta-synthesis of Meta-analyses Comparing PBL to Conventional Classrooms. Interdisciplinary Journal of Problem-based Learning, Vol. 3, No. 1

Wenger, E. (2000) Communities of Practice: Learning, Meaning and Identity Cambridge UK: Cambridge University Press

Wenger, E. (2014) Communities of practice: a brief introduction, accessed 26 September, 2014

Wenger, E, McDermott, R., and Snyder, W. (2002). Cultivating Communities of Practice (Hardcover). Harvard Business Press; 1 edition.

‘Agile’ Design: Flexible designs for the digital age

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Zen Yoga Chair: Image © Best Interior and Architecture,

Zen Yoga Chair: Image © Best Interior and Architecture

Before I was rudely interrupted by MOOCs, I had almost finished my chapter on Models for Designing Teaching and Learning for my open textbook, ‘Teaching in a Digital Age.‘ I have now finished the last of the design models, which I have called ‘Agile Design’ because it is a new and as yet unestablished approach to course design.

I have to admit going out on a limb with this particular section, because I couldn’t really find any prior literature that adequately describes this approach, and there are elements of other design models that appear in ‘Agile’ design, but I have seen a few examples of it and they are clearly different from other approaches to course design. All this means that I’m really looking for feedback and advice, so here goes.

Scenario E: ETEC 522: Ventures in e-Learning

Mike: Hey, George, come and sit down and tell Allison and Rav about that weird course you’re taking from UBC.

George: Hi, you two. Yeah, it’s a great course, very different from any other I’ve taken.

Rav.: What’s it about?

George: It’s how to go about starting up a technology company.

Allison: But I thought you were doing a masters in education.

George: Yeah, I am. This course is looking at how new technologies can be used in education and how to build a business around one of these technologies.

Mike: Really, George? So what about all your socialist principles, the importance of public education, and all that? Are you giving up and going to become a fat capitalist?

George: No, it’s not like that. What the course is really making me do is think about how we could be using technology better in school or college.

Mike: And how to make a profit out of it, by the sound of it.

Rav.: Shut up, Mike – I’m curious, George, since I’m doing a real business program. You’re going to learn how to set up a business in 13 weeks? Gimme a break.

George: It’s more about becoming an entrepreneur – someone who takes risks and tries something different.

Mike.: With someone else’s money.

George: Do you really want to know about this course, or are you just wanting to give me a hard time?

Allison: Yes, shut up, Mike. Have you chosen a technology yet, George?

George: Almost. We spend most of the course researching and analysing emerging technologies that could have an application in education. We have to find a technology, research it then come up with a plan of how it could be used in education, and how a business could be built around it. But I think the real aim is to get us to think about how technology could improve or change teaching or learning..

Rav.: So what’s the technology you’ve chosen?

George: You’re jumping too far ahead, Rav. We go through two boot camps, one on analysing the edtech marketplace, and one on entrepreneurship: what it takes to be an entrepreneur. Why are you laughing, Mike?

Mike: I just can’t see you in combat uniform, crawling through tubes under gun fire, with a book in your hand.

George: Not that kind of bootcamp. This course is totally online. Our instructor points us in the direction of a few technologies to get us started, but because there’s more stuff coming out all the time, we’re encouraged to make our own choices about what to research. And we all help each other. I must have looked at more than 50 products or services so far, and we all share our analyses. I’m down to possibly three at the moment, but I’m going to have to make my mind up soon, as I have to do a YouTube elevator pitch for my grade.

Rav.: A what?

George: If you look at most of these products, there’s a short YouTube video that pitches the business. I’ve got to make the case for whatever technology I choose in just under eight minutes. That’s going to be 25% of my grade.

Allison: Wow, that’s tough.

George: Well, we all help each other. We have to do a preliminary recording, then everyone pitches in to critique it. Then we have a few days to send in our final version.

Allison: What else do you get grades for?

George: I got 25% of my marks for an assignment that analysed a particular product called Dybuster which is used to help learners with dyslexia. I looked mainly at its educational strengths and weaknesses, and its likely commercial viability. For my second assignment, also worth 25%, we had to build an application of a particular product or service, in my case a module of teaching using a particular product. There were four of us altogether working as  a team to do this. Our team designed a short instructional module that showed a chemical reaction, using an off-the-shelf online simulation tool that is free for people to use. I’ll get my last 25% from an e-portfolio where I’ve collected together my contributions to helping other students on the course with their projects.

Allison: But what I don’t understand is: what’s the curriculum? What text books do you have to read? What do you have to know?

George: Well, there isn’t a set curriculum, except for the two boot camps, and they only take a week each. I’ve already learned a lot, just by searching and analysing different products over the Internet. We have to think about and justify our decisions. What kind of teaching philosophy do they imply? What criteria am I using when I support or reject a particular product? Is this a sustainable tool? I don’t want to have to get rid of good teaching material because the company’s gone bust and doesn’t support the technology I’m using any more. What I’m really learning though is to think about technology differently. Previously I wasn’t really thinking about teaching differently. I was just trying to find a technology that made my life easier. But this course has woken me up to the real possibilities. I feel I’m in a much better position now to shake up my own school and move them into the digital age.

Allison (sighs): Well, I guess that’s the difference between an undergraduate and a graduate course. You couldn’t do this unless you already knew a lot about education, could you?

George: I’m not so sure about that, Allison. It doesn’t seem to have stopped a lot of entrepreneurs from developing tools for teaching!

Mike: George, I’m sorry. I can’t wait for you to become a rich capitalist – it’s your turn to buy the drinks.

Scenario based on a UBC graduate course for the Master in Educational Technology.

The instructors are David Vogt and David Porter, assisted by Jeff Miller, the instructional designer for the course.

6.8.1 Why the need for more flexible design models?

Adamson (2012) states:

The systems under which the world operates and the ways that individual businesses operate are vast and complex – interconnected to the point of confusion and uncertainty. The linear process of cause and effect becomes increasingly irrelevant, and it is necessary for knowledge workers to begin thinking in new ways and exploring new solutions.

In particular knowledge workers must deal with situations and contexts that are volatile, uncertain, complex and ambiguous (what Adamson calls a VUCA environment). This certainly applies to teachers working with ever new, emerging technologies, very diverse students, and a rapidly changing external world that puts pressure on institutions to change.

If we look at course design, how does a teacher respond to rapidly developing new content, new technologies or apps being launched on a daily basis, to a constantly changing student base, to pressure to develop the knowledge and skills that are needed in a digital age? For instance, even setting prior learning outcomes is fraught in a VUCA environment, unless you set them at an abstract ‘skill’ level such as thinking flexibly, networking, and information retrieval and analysis. Students need to develop the key knowledge management skills of knowing where to find relevant information, how to assess, evaluate and appropriately apply such information. This means exposing them to less than certain knowledge and providing them with the skills, practice and feedback to assess and evaluate such knowledge, then apply that to solving real world problems.

In order to do this, learning environments need to be created that are rich and constantly changing, but which at the same time enable students to develop and practice the skills and acquire the knowledge they will need in a volatile, uncertain, complex and ambiguous world.

6.8.2 Core features of flexible design models

Describing the design features is a challenge, for two reasons. First, there is no single approach to flexible design. The whole point of a flexible design is to be adaptable to the circumstances in which it operates. Second, it is only with the development of light, easy to use technology and media in the last few years that instructors and course designers have started to break away from the standard design models, so flexible designs are still emerging.

First, it is important to distinguish this approach from rapid instructional design (Meier, 2000) or rapid prototyping, which are really both streamlined versions of the ADDIE model. Although rapid instructional design/rapid protyping enable courses or modules to be designed more quickly (especially important for corporate training), they still follow the same kind of sequential or iterative processes as in the ADDIE model, but in a more compressed form. Rapid instructional design and rapid prototyping might be considered particular kinds of flexible design, but they lack some of the most important characteristics outlined below:

  • Light and nimble: if ADDIE is a 100-piece orchestra, with a complex score and long rehearsals, then flexible design models are a jazz trio who get together for a single performance then break up until the next time. Although there may be a short preparation time before the course starts, most of the decisions about what will go into the course, what tools will be used, what activities learners will do, and sometimes even how students will be assessed, are decided as the course progresses. On the teaching side, there are usually only a few people involved in the actual design, one or sometimes two instructors and possibly an instructional designer, who nevertheless meet frequently during the offering of the course to make decisions based on feedback from learners and how learners are progressing through the course. However, many more content contributors may be invited – or spontaneously offer – to participate on a single occasion as the course progresses.
  • Content, learner activities, tools used and assessment vary, according to the changing environment. The content to be covered in a course is likely to be highly flexible, based more on emerging knowledge and the interests or prior experience of the learners, although the core skills that the course aims to develop are more likely to remain constant. For instance, for ETEC 522, the overall objective is to develop the skills needed to be a pioneer or innovator in education, and this remains constant over each iteration of the course. However, because the technology is rapidly developing with new products, apps and services every year, the content of the course is quite different from year to year. Also learner activities and methods of assessment are also likely to change, because students can use new tools or technology themselves for learning as they become available. Very often learners themselves seek out and organise much of the core content of the course and are free to choose what tools they use.
  • The design attempts to exploit the affordances of either existing or emerging technologies. Flexible design aims to exploit fully the educational potential of new tools or software, which means sometimes changing at least sub-goals. This may mean developing different skills in learners from year to year, as the technology changes and allows new things to be done. The emphasis here is not so much on doing the same thing better with new technology, but striving for new and different outcomes that are more relevant in a digital world. ETEC 522 for instance did not start with a learning management system. Instead,  a web site, built in WordPress, was used as the starting point for student activities, because students as well as instructors were posting content, but in another year the content focus of the course was mainly on mobile learning, so apps and other mobile tools were strong components of the course.
  • Sound, pedagogical principles guide the overall design of a course – to a point. Just as most successful jazz trios work within a shared framework of melody, rhythm, and musical composition, so is flexible design shaped by overarching principles of best practice. Most successful flexible designs have been guided by core design principles associated with ‘good’ teaching, such as clear learning outcomes or goals, assessment linked to these goals, strong learner support, including timely and individualised feedback, active learning, collaborative learning, and regular course maintenance based on learner feedback, all within a rich learning environment. Sometimes though deliberate attempts are made to move away from an established best practice for experimental reasons, but usually on a small scale, to see if the experiment works without risking the whole course..
  • Experiential, open and applied learning. Usually this kind of course design is strongly embedded in the real, external world. Much or all the course may be open to other than registered students. For instance, a good deal of ETEC 522, such as the final YouTube business pitches, is openly available to those interested in the topics. Sometimes this results in entrepreneurs contacting the course with suggestions for new tools or services, or just to share experience. Another example is a course on Latin American studies from a Canadian university. This particular course had an open, student-managed wiki, where they could discuss contemporary events as they arose. This course was active at the same time that the Argentine government nationalised the Spanish oil company, Repsol. Several students posted comments critical of the government action, but after a week, a professor from a university in Argentina, who had come across the wiki by accident while searching the Internet, responded, laying out a detailed defence of the government’s policy. This was then made a formal topic for discussion within the course. Such courses may though be only partially open. Discussion of sensitive subjects for instance may still take place behind a password controlled discussion forum, while other parts of the course may be open to all.

As experience grows in this kind of design, other and perhaps clearer design principles are likely to emerge.

Strengths and weaknesses of flexible design models

The main advantage of flexible design is that it focuses directly on preparing students for a volatile, uncertain, complex and ambiguous world. It aims explicitly at helping students develop many of the specific skills they will need in a digital age, such as knowledge management, multimedia communications skills, critical thinking, innovation, and digital literacy embedded within a subject domain. Where flexible design has been successfully used, students have found the design approach highly stimulating and great fun, and instructors have been invigorated and enthused with their teaching. Flexible design enables courses to be developed and offered quickly and at much lower initial cost than ADDIE-based approaches.

However, flexible design approaches are very new and have not really been much written about, never mind evaluated. There is no ‘school’ or set of agreed principles to follow. (Maybe it needs a catchy name, which is why, somewhat tongue in cheek, I originally entitled the post/chapter: ‘Flash Design.’ However, thanks to Antonio Dias de Figueiredo’s comment below, I think ‘agile’ design is a better term.) The flexible design model though is not however the same as rapid instructional design (Meier, 2000) which is really a boiled down version of the ADDIE approach, but it could be argued that most of the things in flexible design are covered in other teaching models, such as discovery and/or experiential learning. Despite this, innovative instructors are beginning to develop courses such as ETEC 522 and there is a consistency in the basic design principles that give them a certain coherence and shape, even though each course or program appears on the surface to be very different (another example of flexible design, but with quite a different overall program from ETEC 522, is the Integrated Science program at McMaster University.)

Certainly flexible design approaches require confident instructors willing to take a risk, and success is heavily dependent on instructors having a good background in best teaching practices and/or strong instructional design support from innovative and creative instructional designers. Because of the relative lack of experience in such design approaches the limitations are not well identified yet. For instance, this approach can work well with relatively small class sizes but how well will it scale? Successful use probably also depends on learners already having a good foundational knowledge base in the subject domain. Nevertheless I expect more flexible designs for learning to grow over the coming years, because they are more likely to meet the needs of a VUCA world.

Over to you

What I really need here are more examples of flexible learning design. Do you know a course that meets these five design principles? If so please let me know (and a link to the course or course materials would be really appreciated). I would expect that some courses built around open educational resources might reflect this model, for instance.

Now for some more specific questions:

1. Is this design model truly different from others or is it just a variation on other design models? If so which?

2. If you have experience of teaching in this way, can you add to the strengths or weaknesses of this approach and also provide  a short description of the how the course is designed?

3. Do you think an ‘agile’/flexible design approach will increase or undermine academic excellence? What are your reasons?

Next

I will be finalizing the chapter on design models, so I will do a final post that sets out the main conclusion on design models and key takeaways from the chapter.

Why MOOCs are only part of the answer for higher education

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Formal education is the necessary launchpad for successful MOOCs

Formal education is the necessary launchpad for successful MOOCs

OK, except for the next post, which will be a list of publications on MOOCs for graduate students studying the topic, and a scenario for a ‘good’ MOOC, this will be my last post on MOOCs for a while.

This is the conclusion to my chapter on MOOCs for my open textbook, ‘Teaching in a Digital Age‘. This whole chapter is now published here. There will be a scenario illustrating what I define as a ‘good’ MOOC to go with this conclusion. Here is the extract:

The importance of context and design

I am frequently categorised as a major critic of MOOCs, which is somewhat surprising since I have been a longtime advocate of online learning. In fact I do believe MOOCs are an important development, and under certain circumstances they can be of tremendous value in education.

But as always in education, context is important. There is not one but many different markets and needs for education. A student leaving high school at eighteen has very different needs and will want to learn in a very different context from a 35 year old employed engineer with a family who needs some management education. Similarly a 65 year old man struggling to cope with his wife’s early onset of Alzheimers and desperate for help is in a totally different situation to either the high school student or the engineer. When designing educational programs, it has to be horses for courses. There is no single silver bullet or solution for every one of these various contexts.

Secondly, as with all forms of education, how MOOCs are designed matters a great deal. If they are designed inappropriately, in the sense of not developing the knowledge and skills needed by a particular learner in a particular context, then they have little or no value for that learner. However, designed differently and a MOOC may well meet that learner’s needs.

The potential of cMOOCs

So let me be more specific. cMOOCs have the most potential, because lifelong learning will become increasingly important, and the power of bringing a mix of already well educated and knowledgeable people from around the world to work with other committed and enthusiastic learners on common problems or areas of interest could truly revolutionise not just education, but the world in general.

However, cMOOCs at present are unable to do this, because they lack organisation and do not apply what is already known about how online groups work best. Once we learn these lessons and apply them, though, cMOOCs can be a tremendous tool for tackling some of the great challenges we face in the areas of global health, climate change, civil rights, and other ‘good civil ventures.’  The beauty of a cMOOC is that they involve not just the people who have the will and the power to make changes, but cMOOCs give every participant the power to define and solve the problems being tackled.

But socially transformative MOOCs will almost certainly benefit from the resources of strong institutions to provide initial impetus, simple to use software, overall structure, organization and co-ordination within the MOOC, and some essential human resources for supporting the MOOC when running. At the same time, it does not have to be an educational institution. It could be a Public Health Authority, or a broadcasting organization, or an international charity, or a consortium of organisations with a common interest. Also, of course, we need to recognise the danger that even cMOOCs  could be manipulated by corporate or government  interests. Finally, I don’t see cMOOCs as being a replacement for formal education, but as a rocket that needs formal education as its launch pad.

The limitations of xMOOCs

The real threat of xMOOCs is to the very large face-to-face lecture classes found in many universities at the undergraduate level. MOOCs, at a cost of around $20-$50 a student, are a more effective way of replacing such lectures. They are more interactive and permanent so students can go over the materials many times. I have heard MOOC instructors argue that their MOOCs are better than their classroom lectures. They put more care and effort into them.

However, we should question why we are teaching in this way on campus. Content is now freely available anywhere on the Internet – including MOOCs. What is needed is information management: how to identify the knowledge you need, how to evaluate it, how to apply it. MOOCs do not do that. They pre-select and package the information. My big concern with xMOOCs is their limitation, as currently designed, for developing the higher order intellectual skills needed in a digital world. Unfortunately, xMOOCs are taking the least appropriate design model for developing 21st century skills from on-campus teaching,  and moving this inappropriate design model online. Just because the lectures come from elite universities does not necessarily mean that learners will develop high level intellectual skills, even though the content is of the highest quality. More importantly, with MOOCs, relatively few students succeed, in terms of assessment, and those that do are tested mainly on comprehension and limited application of knowledge.

We can and have done much better in terms of skills for a digital age with other pedagogical approaches on campus, such as problem- or inquiry-based learning, and with online learning using more constructivist approaches in online credit courses, but these alternative methods to lectures do not scale so easily. The interaction between an expert and a novice still remains critical for developing deep understanding, transformative learning resulting in the learner seeing the world differently, and for developing high levels of evidence-based critical thinking, evaluation of complex alternatives, and high level decision-making. Computer technology to date is extremely poor at enabling this kind of learning to develop. This is why credit-based classroom and online learning still aim to have a relatively low instructor:student ratio and still need to focus a great deal on interaction between instructor and students.

I have no problem however with xMOOCs as a form of continuing education or as a source of open educational materials that can be part of a broader educational offering. They can be a valuable supplement to campus-based education. It is when the claim is made that they can replace both conventional education or the current design of online credit programs when I become really concerned. As a form of continuing education, low completion rates and the lack of formal credit is not of great significance. However, completion rates and quality assessment DO matter if MOOCs are being seen as a substitute or a replacement for formal education, even classroom lectures.

Undermining the public higher education system?

The real danger is that if we are not vigilant, MOOCs will undermine what is admittedly an expensive public higher education system. If elite universities can deliver MOOCs for free, why do we need crappy state universities? The risk is a sharply divided two tier system, with a relatively small number of elite universities catering to the rich and privileged, and developing the knowledge and skills that will provide rich rewards, and the masses going to MOOC-delivered courses with state universities providing minimal and low cost learner support for such courses. This would be both a social and economic disaster, because it would fail to produce enough learners with the high-level skills that are going to be needed for good jobs in the the coming years – unless you believe that automation will remove all decently paid jobs except for a tiny elite (bring on the Hunger Games).

It should be noted that even for credit-based online programs, content accounts for less than 15 per cent of the total cost over five years; the main costs required to ensure high quality outcomes and high rates of completion are spent on learner support, providing the learning that matters most. The kind of MOOCs being promoted by politicians and the media fail spectacularly to do this. We do need to be careful that the open education movement in general, and MOOCs in particular, are not used as a stick by those in the United States and elsewhere who are deliberately trying to undermine public education for ideological and commercial reasons. Open content, OERs and MOOCs do not automatically lead to open access to high quality credentials for everyone. In the end, a well-funded public higher education system remains the best way to assure access to higher education for the majority of the population.

Having said that, there is enormous scope for improvements within that system. MOOCs, open education and new media offer promising ways to bring about some much needed improvements. However, that means building on what we already know from the use of credit based online learning, from prior experience in open and distance learning, and designing courses and programs in a variety of ways appropriate to the wide range of learning needs. MOOCs can be one important part of that environment, but not a replacement for other forms of educational provision that meet different needs.

Key Takeaways

1. MOOCs are forcing every higher education institution to think carefully both about its strategy for online teaching and its approach to open education.

2. MOOCs are not the only form of online learning or of open educational resources. It is important to look at the strengths and weaknesses of MOOCs within the overall context of online learning and open-ness.

3. There are considerable differences in the design of MOOCs, reflecting different purposes and philosophies.

4. MOOCs are at still a relatively early stage of maturity. As their strengths and weaknesses become clearer, and as experience in improving their design grows, they are likely to occupy a significant niche within the higher education learning environment.

5. There are still major structural limitations in MOOCs for developing deep or transformative learning, or for developing the high level knowledge and skills needed in a digital age.

6. MOOCs could well replace some forms of traditional teaching (such as large lecture classes). However, MOOCs are more likely to remain an important supplement or alternative to other conventional education methods. They are not on their own a solution to the high cost of higher education, although MOOCs are and will continue to be an important factor in forcing change.

7. Perhaps the greatest value of MOOCs in the future will be for providing a means for tackling large global problems through community action.

Next

I am now trying to finish Chapter 6, on design models. I will be writing about (a) personal learning environments and (b) flexible design models based on sound educational design principles.

As always, I welcome comments on either this final section on MOOCs, or on the Chapter as a whole. You can use either the comment page here or the one at the end of the Chapter.

EDEN research papers on learner characteristics, course design and faculty development in online learning

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Some of the participants at the EDEN Research workshop, 2014

Some of the participants at the EDEN Research workshop, 2014

EDEN has now published my review of some of the research papers submitted to the EDEN research workshop in Oxford a couple of weeks ago. All the full papers for the workshop can be accessed here.

Main lessons I culled from these papers:

Learner characteristics

  • open and distance learners/online learners are much more heterogeneous than on-campus students: social background, institutional differences, prior education/learning experiences, all influence their readiness for online learning
  • as a result, ODL students need much more personalization or individualization of their learning: one size does not fit all
  • special attention needs to be paid to ‘at risk’ students very early in their studies: intense personal/tutor support is critical for such students.

It can be seen that such findings are important not only for the design of for-credit programs but also for MOOCs.

Course design

There were surprisingly few papers directly on this topic (although papers on other topics such as assessment and quality are also relevant of course).

The main lessons for me from this research on course design were:

  • technology offers opportunity for radically new course designs and new approaches to student learning,
  • such new designs need to be driven and informed by sound pedagogical theory/principles and prior research.

Faculty development

Main lessons:

  • we should be working to use technology to decrease faculty workload, not to increase it, as at present
  • this will probably require team teaching, with different skills within the team (subject expert, learner support staff, course designer/pedagogue, technology specialist); it is unrealistic to expect faculty to be expert in all these areas
  • to individualize learning, increased use of adaptive technology and the creation and support of personal learning environments will be necessary to help faculty manage the workload.

Next

Two more reports are expected shortly, covering OERs/MOOCs, quality and assessment, research methods and overall conclusions.