AI in education should be reframed as a relational design problem grounded in reciprocity and accountability to support learning with others and sustain communities and environments.
International Journal of Artificial Intelligence in Education32(3), 504–526 (2022)
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Structured integration of LLMs in astronomy education, including a domain-specific tutor and documentation requirements, leads to improved AI literacy and reduced student reliance on AI over the semester.
citing papers explorer
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Relational AI in Education: Reciprocity, Participatory Design, and Indigenous Worldviews
AI in education should be reframed as a relational design problem grounded in reciprocity and accountability to support learning with others and sustain communities and environments.
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Teaching Astronomy with Large Language Models
Structured integration of LLMs in astronomy education, including a domain-specific tutor and documentation requirements, leads to improved AI literacy and reduced student reliance on AI over the semester.