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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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Thoughts on Connectivism

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Edited by Sharif Al-Rousi, Monday, 18 Mar 2013, 16:42

Post in response to H817 activity 13: Connectivism


This theory attempts to assert that changes in technology have changed the activity of learning - a new learning theory.
 
Key foundations:
- Learners move across a variety of unrelated professional fields over their career lifetime
- Informal learning is a significant aspect of our learning experience (formal eduacation provides the minority). CoPs, personal networks and work-related teaks are more important sources.
- Learning is a continual process, and is not separate from working – they are the same!
- The tools we use define and shape our thinking - Well I agree that they make us devote our thinking effort proportionally to different activities.
- Information storage and processing processes can now be off-loaded or supported by technology
- Where to find info is a critical skill
 
I broadly agree with Driscoll's (2000) definition of leraning: 'a persisting change in human performance or performance potential... [which] must come about as a result of the learner's experience and interaction with te world'
 
I see the following as a continuum:
1) Objectivism (similar to behaviouralism) reality is external and objective. Knowledge gained through experiences
2) Pragmatism (similar to cognitivism) reality is interpreted. Knowledge is negotiated through experience and thinking
3) Interpretivism (similar to constructivism) reality is internal. Knowledge is constructed.
 
Similar to Poppers (?) "theory - empirical evidence continnum". If we cannot experience without interpreting external things. Learning is a product of both processes. However, I can conceive that some learning might fall toward one end of the continuum. For example, learning about an abstract scientific theory, might involve more objectivism. Something more personal to you, and subjective, might be more interpretive. I tentatively put forward an argument that in the more messy work situations we find ourselves in, more decision making, and therefore associated learning, falls toward the interpretive end.
 
Question - is one end of this continuum, more than the other, associated with innovation?
 
Principles for connectivism
*       Learning and knowledge rests in diversity of opinions.
*       Learning is a process of connecting specialized nodes or information sources.
*       Learning may reside in non-human appliances.
*       Capacity to know more is more critical than what is currently known
*       Nurturing and maintaining connections is needed to facilitate continual learning.
*       Ability to see connections between fields, ideas, and concepts is a core skill.
*       Currency (accurate, up-to-date knowledge) is the intent of all connectivist learning activities.
*       Decision-making is itself a learning process. Choosing what to learn and the meaning of incoming information is seen through the lens of a shifting reality. While there is a right answer now, it may be wrong tomorrow due to alterations in the information climate affecting the decision.

 


What I think is important about Constructivism:

Constructivism raises 2 important considerations to existing learning theories:
1) There is more cognitive effort of the individual put into a process of evauating whether knowledge is worth acquiring, before expending effort to learn it.
2) The skill in making connections and synthesising different bits of knowledge has become more important where there is easy access to vast quantities of it.
 
In these ways, I do believe that elearning has a difference balance of learner activities than other forms of learning.

Reflection point - How did I decide this course was worth doing?
- I think I wanted people input - I wanted connectivity. Did I subconsiously realise that this was valuable?
 
 
Connectivism says that we expand our access to experiences (though second hand access to other peoples' experiences) though technology. Our connections are surrogates for our knowledge. Karen Stephenson's quote
"Experience has long been considered the best teacher of knowledge. Since we cannot experience everything, other people's experiences, and hence other people, become the surrogate for knowledge. 'I store my knowledge in my friends' is an axiom for collecting knowledge through collecting people (undated)."
 
Connectivism als talks about an issue of organisational learning. I think there is an issue of the asynchronous timing of planning, learning and decision-making activities, and our difficulties in making these work effectively in organisations. The actors in each of these processes are not weakly tied. Often they are not tied at all!
 

 
Most useful bit of this theory for my own professional context:  Connectivism talks about creating the optimal flow of knowledge through an organisation via interdependence and weak ties. Perhaps this is a good model for what training organisations should
provide:
*       An infrastrucure that supports interdepence and weak ties
*       Supports the development of skills to navigate
*       Supports the connectivity of ideas and individual nodes
*       Makes special effort to connect large scale diverse knowledge areas with small ones (perhaps work-based communities of practice)
 
The above should lead to an amplification of relevant learning!
Design of learning implications

References:

Driscoll, M. (2000) Psychology of Learning for Instruction. Needham Heights, MA, Allyn & Bacon

Stephenson, K., (Internal Communication, no.36) What Knowledge Tears Apart, Networks Make Whole. Retrieved December 10, 2004 from http://www.netform.com/html/icf.pdf

Seimens, G. (2004) Connetivism: A Learning Theory for the Digital Age

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