mlsanityData to 14 Oct 2026

Distinguishing performance gains from learning when using generative AI

arXiv 2605.13731 ↗First posted 13 May 2026cs.LG cs.HCcited by 2

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Abstract (arXiv)

Generative artificial intelligence (AI) is increasingly being integrated into education, where it can boost learners' performance. However, these uses do not promote the deep cognitive and metacognitive processing that are required for high-quality learning.

Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). Builds on 2 of its 10 references that are in the map. First posted on arXiv 13 May 2026.

Builds on

2 of 10 references.

References · 2

  1. 2024Beware of Metacognitive Laziness: Effects of Generative Artificial Intelligence on Learning Motivation, Processes, and Performancecited by 58
  2. 2024Promises and challenges of generative artificial intelligence for human learningcited by 17

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2026: 2.

2 papers.

  1. 2026Making AI-Generated Feedback Matter: A Large-Scale Study of Feedback Workflows and Student Enactmentcited by 0
  2. 2026An emancipatory vision for designing (generative) AI for learner flourishingcited by 0