Rethinking the entwinement between artificial intelligence and human learning: What capabilities do learners need for a world with AI?

By Lina Markauskaite, R. Marrone, Oleksandra Poquet, Simon Knight, Roberto Martínez-Maldonado, Sarah K. Howard, Jo Tondeur, Maarten de Laat, Simon Buckingham Shum, Dragan Gasevic and 1 more. Computers and Education: Artificial Intelligence, 2022

300 citations recorded by the source corpus.

The proliferation of AI in many aspects of human life — from personal leisure, to collaborative professional work, to global policy decisions — poses a sharp question about how to prepare people for an interconnected, fast-changing world which is increasingly becoming saturated with technological devices and agentic machines. What kinds of capabilities do people need in a world infused with AI? How can we conceptualise these capabilities? How can we help learners develop them? How can we empirically study and assess their development? With this paper, we open the discussion by adopting a dialogical knowledge-making approach. Our team of 11 co-authors participated in an orchestrated written discussion. Engaging in a semi-independent and semi-joint written polylogue, we assembled a pool of ideas of what these capabilities are and how learners could be helped to develop them. Simultaneously, we discussed conceptual and methodological ideas that would enable us to test and refine our hypothetical views. In synthesising these ideas, we propose that there is a need to move beyond AI-centred views of capabilities and consider the ecology of technology, cognition, social interaction, and values.

Subfields: Cognitive Neuroscience, Computer Science Applications, Developmental and Educational Psychology

View Paper: https://www.semanticscholar.org/paper/c952722b1261744c87bbfed09eeae4fa68486a50

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Science Applications

1. Jiahong Su
2. Davy Tsz Kit Ng
3. S. K. Chu
4. Jac Ka Lok Leung
5. R. Ng

In Developmental and Educational Psychology

1. S. K. Chu
2. Davy Tsz Kit Ng

Citations in the corpus

• Teachers’ AI digital competencies and twenty-first century skills in the post-pandemic world (2023, background): “Therefore, it is important to consider how teachers’ competencies change in an AI context (Markauskaite et al., 2022).”