CYAISep 27, 2023

Brave new world: Artificial Intelligence in teaching and learning

arXiv:2310.06856v14 citationsh-index: 12
Originality Synthesis-oriented
AI Analysis

It tackles the need for AI regulation in universities to prevent negative effects on teaching and learning, but is incremental as it builds on existing discussions.

The paper addresses the use of Large Language Models in education, highlighting AI incidents and advocating for institutional AI policies to manage risks and impacts.

We exemplify how Large Language Models are used in both teaching and learning. We also discuss the AI incidents that have already occurred in the education domain, and we argue for the urgent need to introduce AI policies in universities and for the ongoing strategies to regulate AI. Regarding policy for AI, our view is that each institution should have a policy for AI in teaching and learning. This is important from at least twofolds: (i) to raise awareness on the numerous educational tools that can both positively and negatively affect education; (ii) to minimise the risk of AI incidents in education.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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