Pith. sign in

REVIEW

Untangling Critical Interaction with AI in Students Written Assessment

Not yet reviewed by Pith; the record is open.

This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.

SPECIMEN: schema-true, not a live event

T0 review · schema-true

One-sentence machine reading of the paper's core claim.

pith:XXXXXXXX · record.json · timestamp

arxiv 2404.06955 v1 pith:QPZ7GQVL submitted 2024-04-10 cs.HC cs.AI

classification cs.HCcs.AI
keywords criticalinteractiondeepdeveloplearnersskillsthinkingwriting
verification ladder T0 review T1 audit T2 compute T3 formal
0 comments
read the original 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.

Discussion (0). Continue with ORCID to comment.

Pith tools