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Rhizomatic learning for complex family work

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Edited by Sharif Al-Rousi, Monday, 29 Apr 2013, 22:49

Post in response to H817 MOOC activity 20: Rhizomatic Learning

 

Dave Cormier: http://www.youtube.com/watch?v=VJIWyiLyBpQ

 

Key features of Rhizomatic Learning

1.    The best learning teaches you to deal with uncertainty

2.    The community is the curriculum

3.    Rhizomes offer a model for learning an uncertainty

4.    Complex decision-making (probe, sense, respond)

5.    Need to make students responsible for their own learning (and that of others)

 

Was I convinced by the approach?

The messiness and organic nature of the process was appealing – something I recognize from participating it the MOOC, and operating across a number of arenas in my Personal Learning Network (PLN).

 

What I like about the slidedeck (Cormier) is that is explicitly links types of learning to decision-making, which I feel is underplayed elsewhere in the field of learning. I see rhizomatic learning as useful, if not an ideal way of supporting learning that addresses ‘complex’ problems and decision-making (as shown in the matrix below).

 

4-grid of decision-making types

This most accurately represents the working-learning environment for children’s centre leaders, that I came across in my MA research project, and rhizomatic learning is a good representation of the way in which those individuals responded to the environment – by making use of and extending their PLNs; exploring them with a specific, contextualized, learning agenda. Interesting, those most comfortable in their roles, articulated the existence of their own PLN (though not by that name) in their research responses, and their active pursuit of learning through it, whereas those less experienced individuals the learning through their PLNs seemed more incidental and unconscious.

 

Can this approach be implemented?

Accepting the above point, I can see the potential for supporting rhizomatic learning as a productive model where the context is supporting ‘complex’ decision-making, and not in environments which call for ‘complicated’ or ‘simple’ decision-making. I can, however, see that it might be potentially useful in environments of ‘chaotic’ decision-making, though there may need to be some re-working, perhaps a slimming down of linkages or arenas in the PLN to those most responsive (and trusted), so that they can be drawn upon within the time constraints that characterize chaotic decision-making. 

 

Within the field I work in, complex family work (particularly when working with holistic, family-focused models, such as Family Intervention Projects), requires complex decision-making of the kind conceived in this model. Where in the past, there has been an emphasis on ‘complicated’ decision-making, where individual professionals with specific specialisms, such as mental health, substance misuse, domestic violence, not to mention the specialisms in either adult or children as individuals, the current trend is toward a more holistic and family-focused model with the need for trade-offs to be made between the value of certain interventions targeting different family members. Whereas the previous model required ‘experts’ to see through ‘good practice’ interventions, the new model requires unique and personalized support pathways to be constructed among groups of professionals from different specialisms, working collaboratively.

There has been some effort to introduce supporting infrastructure for this work (such as the Common Assessment Framework and Team around the Family meetings, to work across the children’s workforce for instance), but workforce development, notably, has not adopted a collaborative approach to knowledge and strategy construction. My instinct is that although examples of good practice exist, it has evolved organically.

 

How might a Rhizomatic approach differ?

Compared to a lot of commercial training on offer for the workforce I’ve described, the learning would need to utilize the existing relationships and networks that exist. Therefore, I think supporting Communities of Practice as groups, both directly and indirectly, is the way forward. Direct support would involve wrapping around a learning infrastructure to the existing work-based infrastructure of clusters and professional supervision. In addition, I think for many groups, a wayfinding and facilitating role would probably be needed to support the development of critical digital literacy skills and the socialization process. Indirect support would involve enabling access to or signposting relevant Open Educational Resources.

 

What issues would arise from implementing it?

Expectations. This is the biggest issue for me. When people purchase commercial training, there is often the expectation that they will get something defined for their money, and support is something they are used to having quantified (7 hours of directed study for instance). Equally, they are used to

having defined learning outcomes and success criteria, often supported by accreditation of some sort, and associated collateral such as a certificate. While it might be wise to produce some physical product to accompany the experience of participation, so as to meet an existing expectation, it remains the case that the absence of clearly measurable learning outcomes (related to the acquisition of subject knowledge) is a conceptual leap for some participants and some purchasers of training.

 

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Why have I found week 1 of the MOOC so challenging?

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Edited by Sharif Al-Rousi, Wednesday, 24 Apr 2013, 09:20

One week into the MOOC (I'm doing as part of H817), and I thought I'd pause to reflect using the Gibbs Reflective Cycle - hey why not?

1) Description: During the first week of the MOOC, I've done some of the nuts and bolts stuff: linked blog to the aggregator, joined Twitter (I know I didn't have to do this, but I wanted to confront my lack of social media experience), completed a one hour OpenLearn module (death and postponement, from the social care offering), completed the reading and done both the Research Priorities and Open Education Visualisation activities, though haven't yet posted an image for the latter, and browsed through other's contributions on the open forums.

2) Feeling: My first foray into the course material led me to feeling overwhelmed quickly. There's just so much stuff to look at - that is the first problem. You have to define yourself a starting point, which was new to me. Also, the volume of other people on the course (around 500 I believe) leads to a huge volume of posts on the various forums. I constantly felt like I was playing catch-up; not able to keep abreast of developments as I had done in our tutor group forums for the first part of H817.

3) Good and Bad points: Good points first: surviving the first week and feeling enthusiastic enough to continue. (Would I if I hadn't paid for H817, and had been just enrolled on the MOOC? Not sure). Another good thing - I'm glad I had a go at Twitter. I rather like it, have come across a couple of snippets of info I might like to use. I wouldn't have done it if it were not for this course. Another good thing - I feel I am having the warts and all experience of MOOCs that I wanted. Boy is this not easy!

Bad points then - Easy to get isolated. If it were not for eagle eyed tutors roaming the forums and picking up on dispirited posts, I feel I might have been left out on my own. I think some of my fellow H817ers from my tutor group must have been similarly overwhelmed as I didn't experience any peer support in finding my feat.

Other bad points - technical glitches. Others, not I, had troubled with the blog aggregator. The delay in posts appearing is not ideal. When it's your first time at something (like blogging), you like some pretty near instant feedback to know if anyone else can actually read what you've posted. There was also a lack of discipline around how the forum conversations emerged (4 different areas you could post a response to the priorities activity for example). It just makes things so busy!

4) Analysis: The MOOC environment has some key differences to the tutor group led online H817 course. a) Volume of participants - this makes it hard if not impossible to read everything. So what to read? Skim or deep-dive? b) Starting points: We all had very different starting points on H817, but this seems to have been multiplied. At the start of H817 we introduced ourselves before really getting into the nitty gritty. On the MOOC, some participants had posted responses to the activities before I'd even read them! c) Lack of hand-holding by tutors. This is possibly a bit unfair - they have a lot more people to get round. But the consequence is it feels like less hand-holding. Ok, perhaps we shouldn't need it, and that is part of the MOOC experience, but I also thought peer support was supposed to be a part of the MOOC, and what I've experienced to date is not sufficient.

5) Conclusion: Looking at my above points, perhaps all of these are consequences of the increase in magnitude you get with a MOOC. I've struggled - in finding a small group of people that it's easy to converse with at a level similar to my own. The very confident and able tend to post a lot, so it's difficult to connect with those that aren't and don't. In the tutor led forums, it was easier to pick out a small number of individuals to 'bounce off'. Then you can develop a little 'network within a network' where you can cultivate a particular conversation. Again, I'm possibly being both unfair and premature here. I was certainly still finding my feet at the end of week one of H817, but we had done some additional guided activities around getting to know one another. As with so many things, this seems equally important here in the MOOC as to anywhere else.

6) Action Plan: Stick with it (I've paid!). Try and connect with some individuals and develop my 'network within a network'. Twitter has helped here, since it mixes familiar faces with those on the MOOC, so it feels less scary logging into that account than visiting the h817open forums. Keep recording all this stuff on the blog - as someone else said, it will demonstrate distance travelled (or otherwise) at some point in the future.

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