2023/07/03 by Jason M. Lodge, Suijing Yang, Leon Furze +1 · 1 voice · 7 citations
Computer Science · Neuroscience · #Embodied and Extended Cognition #Intelligent Tutoring Systems and Adaptive Learning #Online Learning and Analytics
paper · doi:10.1080/23735082.2023.2261106
openalex publication_date 2023/07/03 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
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.