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AI learning tools appear to improve students' access to examples, feedback, and self-directed practice, but the effect on critical thinking depends heavily on task design, assessment pressure, and whether students are asked to evaluate AI outputs rather than accept them. [1]

Current evidence is strongest for AI-supported writing feedback and inquiry scaffolding. Evidence is weaker when the claim is broad, such as “AI improves critical thinking” without naming the intervention, learner group, or measurement method. [2]

For a literature review, rova would separate the topic into four tracks: AI feedback systems, generative AI literacy, metacognition, and assessment redesign. [3]

Consensus

Structured AI feedback can support revision and reflection when paired with explicit evaluation rubrics.

Dispute

Researchers disagree on whether AI use strengthens reasoning or simply hides weak reasoning behind fluent prose.

Gap

Longitudinal evidence in undergraduate classrooms remains limited, especially outside English-language contexts.