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Modelling Dialectical Processes in Environmental Learning

An Elaboration of Roy Bhaskar’s Onto-axiological Chain

Bibliographic Data

ID8100516
AuthorsIngrid Schudel (0000-0001-6206-4681, corresponding author), Ingrid Joan Schudel (Environmental Learning Research Centre, Rhodes University, Grahamstown, South Africa)
Year2017
Volume16
Issue2
Pages163-183
Publication date2017-02-15
Open AccessNo
TypeARTICLE
VenueJournal of Critical Realism (JOURNAL)
Journal identifiersISSN: 1476-7430 • E-ISSN: 1572-5138
PublisherTaylor & Francis (PUBLISHER • GB)
DOI10.1080/14767430.2017.1288061
OpenAlexW2589110815
LanguageEN
Citations received12
References cited21

This paper describes a critical realist intensive case study, which develops and tests a 'dialectic process model of transformative learning'. The model is inspired by Bhaskar's (1993) onto-axiological chain (or MELD Schema) as outlined in his formulation of dialectical critical realism. The study describes transformative environmental learning processes focusing on food security in two primary schools in rural South Africa. The model elaborates on the four links in the onto-axiological chain by describing four knowledge interests across the two cases: knowledge of 'what is and what is not', knowledge of 'what could be', knowledge of 'what should be', and knowledge of 'what can be'. The model also highlights the emergent nature of epistemic relations in transformative learning processes. The paper discusses the model in relation to a transformative, open-ended and context specific approach to Environmental Education (EE)/ESD. The paper illustrates that Bhaskar's MELD is a robust schema for investigating learning-led change in EE and suggests its relevance in other research contexts concerned with societal transformation

Critical realism (philosophy of perception · Dialectic · Epistemology · Pedagogy · Realism · Schema (genetic algorithms · Sociology · Transformative learning · Adult and Continuing Education Topics · Computer Science · Critical Realism in Sociology · Social Science and Policy Research · Philosophy

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Citations per year1.33
Citation span2017 - 2026 (10)
Highly citedNo

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