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Other literature type . 2025
License: CC BY
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Presentation . 2025
License: CC BY
Data sources: Datacite
ZENODO
Presentation . 2025
License: CC BY
Data sources: Datacite
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On Care, Compassion & Dialogue: Humanising AI in Education

Authors: Aerts, Carla;

On Care, Compassion & Dialogue: Humanising AI in Education

Abstract

This presentation argues for a fundamental reframing of AI's role in education, drawing on the work of Rupert Wegerif's Rethinking of Education Theory and Dialogic Pedagogies, Alison Gopnik's research on Care and Caregiving, and Martha Nussbaum's scholarship on Compassion. These perspectives suggest an alternative vision where AI serves not merely as a tool for individualised learning, but as a participant in collective dialogue that prioritises human relationships and community learning. Rather than positioning humans as passive elements "in-the-loop" of AI-driven systems, this approach places the learning community at the centre, with humans maintaining control while engaging AI in meaningful, caring, and compassionate dialogue. In this model, personalisation transforms into social learning as the fabric for education, creating educational environments where technology enhances rather than replaces the fundamentally human aspects of teaching and learning.

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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green