Abstract
It is becoming apparent that generative AI has significant implications for education. However, previous technologies that have had a large impact, such as calculators, do not provide a suitable model for understanding how generative AI can and will be used in learning. Drawing on research on human-computer interactions, we map out a typology of possible student-to-generative AI relationships to afford a more nuanced discussion about what these new technologies can and should be used for in learning. Our contribution in this article is to offer a typology for considering the range of possible interactions across two dimensions of relationships. In doing so, we argue that there is not a single metaphor for the relationship between humans and AI in learning, but many.
Original language | English |
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Pages (from-to) | 117-124 |
Journal | Learning: Research and Practice |
Volume | 9 |
Issue number | 2 |
DOIs | |
Publication status | Published - 2023 |
Externally published | Yes |
Disciplines
- Educational Technology