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Link to original content: https://doi.org/10.48550/arXiv.2404.06955
[2404.06955] Untangling Critical Interaction with AI in Students Written Assessment
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Computer Science > Human-Computer Interaction

arXiv:2404.06955 (cs)
[Submitted on 10 Apr 2024]

Title:Untangling Critical Interaction with AI in Students Written Assessment

Authors:Antonette Shibani, Simon Knight, Kirsty Kitto, Ajanie Karunanayake, Simon Buckingham Shum
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Abstract:Artificial Intelligence (AI) has become a ubiquitous part of society, but a key challenge exists in ensuring that humans are equipped with the required critical thinking and AI literacy skills to interact with machines effectively by understanding their capabilities and limitations. These skills are particularly important for learners to develop in the age of generative AI where AI tools can demonstrate complex knowledge and ability previously thought to be uniquely human. To activate effective human-AI partnerships in writing, this paper provides a first step toward conceptualizing the notion of critical learner interaction with AI. Using both theoretical models and empirical data, our preliminary findings suggest a general lack of Deep interaction with AI during the writing process. We believe that the outcomes can lead to better task and tool design in the future for learners to develop deep, critical thinking when interacting with AI.
Subjects: Human-Computer Interaction (cs.HC); Artificial Intelligence (cs.AI)
ACM classes: I.2; K.3.1
Cite as: arXiv:2404.06955 [cs.HC]
  (or arXiv:2404.06955v1 [cs.HC] for this version)
  https://doi.org/10.48550/arXiv.2404.06955
Related DOI: https://doi.org/10.1145/3613905.3651083

Submission history

From: Antonette Shibani [view email]
[v1] Wed, 10 Apr 2024 12:12:50 UTC (551 KB)
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