Adaptive education applied to higher education for sustainability
Bibliographic record
Abstract
Purpose This paper aims to present an interpretive case study in education for sustainability (EfS) that applies VanWynsberghe and Herman’s (2015, 2016) adaptive education as pedagogy. Dewey’s theory of behaviour change is applied to educative experiences based on habit disruption and real-world learning, leading to creativity in the formation of new habits. The programme presented inverts dominant conceptions of knowledge to design innovative sustainability pedagogy. Instead knowledge resides alongside experience, cases, intuition, advice, experimentation and dialogue in the individual and collective effort to address daily sustainability challenges. Design/methodology/approach The paper reports on the outcomes of an interpretive case study (Merriam, 1998) of a higher education programme in sustainability pedagogy. It presents a series of reflections by instructors and participants in discussing the programme’s relationship with the core themes of habit, disruption, creative action and dialogue framed within the five features of adaptive education: stakeholders, real-world learning, off campus, transdisciplinarity and non-traditional rewards. Findings Through this examination, the authors found that adaptive education offered a pedagogy that simultaneously addressed the need for increased sustainability knowledge, whilst inverting its dominance. As a long-term project, the extent of the programme’s impact will be evident beyond the programme’s completion. Research limitations/implications This interpretive case study is analysed through high-level conceptual and theoretical aspects of the pedagogy rather than the particularities of the case. By putting the centrality of knowledge into question, the authors are advocating for a more experimental role for higher education in its teaching and learning. These questions are broadly applicable. Social implications There are research, learning and social benefits to this programme. Adaptive education builds capacity for future leaders and educators of sustainability. Originality/value The paper concludes with a discussion for further theorizing and research on adaptive education and EfS in higher education. This research will contribute to broader discussions of the evolving role of education in sustainability.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.015 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".