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Neal-Smith, Jane; Bishop, Gill; Townley, Bob – Action Learning: Research and Practice, 2023
This account of practice tells the story of how engaging in a critical action learning set helped us address problems with student engagement in a postgraduate module. On the surface, this seems fairly straightforward following Revans' model (1971). However, what we actually have are multiple layers of self-reflection, a visual metaphor and its…
Descriptors: Critical Theory, Experiential Learning, Learner Engagement, Graduate Students
Mendonça, Roger; Parker, Anthony; Udo, Uwem; Groves, Catherine – Action Learning: Research and Practice, 2015
This account of practice sets out the action learning experience of three doctoral students on the same Doctoral Programme in Business Administration at a UK university. It also include the sense-making of a fourth member of the set. It explores the tension between their area of work and their engagement in the action learning process and, in so…
Descriptors: Foreign Countries, Experiential Learning, Learning Experience, Graduate Students
Fain, Elizabeth – Action Learning: Research and Practice, 2011
Technology and millennials have created a shift in the world and how it operates. This impact has been experienced in the field of occupational therapy education. As a result of this paradigm shift, an analysis of effective teaching methodologies was carried out to assess the most effective way to engage the millennials in an analysis of…
Descriptors: Experiential Learning, Active Learning, Program Effectiveness, Occupational Therapy
Kozubska, Joanna; MacKenzie, Bob – Action Learning: Research and Practice, 2012
Here, we argue that action learning (AL) has been evolving into different variations, whose respective advocates appear to concentrate on one of the several components inherent in Revans' formulation of AL as L = P + Q. They do this--sometimes inappropriately--to the virtual or relative exclusion of other aspects, and this has consequences for the…
Descriptors: Experiential Learning, Classification, Stakeholders, Learning Theories