Embedding AI in a pedagogy of compassion
DOI:
https://doi.org/10.47408/jldhe.vi40.1769Keywords:
AI, assessment design, collaborative learning, compassionate pedagogyAbstract
Although increasingly recognised in higher education assessment and teaching practices, compassionate pedagogy is often misunderstood. Designed to alleviate student distress and trauma, it is sometimes dismissed as ‘soft’, ‘fluffy’, or insufficiently rigorous, particularly in relation to the rapidly evolving landscape of artificial intelligence (AI) use in higher education. This case study, co-authored by academic staff and students, explores a constructive way forward. Drawing on student experiences, co-facilitation, and module performance, we demonstrate how teaching and learning with AI can be situated within a compassionate pedagogy. We suggest that this can foster engaged and inclusive learning communities promoting scholarship and belonging, while supporting critical research skills. We conclude with recommendations for educators on how they can embed teaching and learning with AI into their own pedagogy of compassion.
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