🧠 AI Ed Wiki

This landmark study provides the first large-scale behavioral and outcome evidence that Generative AI has fundamentally altered how students study and what they retain. Using a ten-year panel of 3.2 million ALEKS learning interactions and complementary placement-assessment data, the authors employ a quasi-experimental design that exploits within-curriculum variation in AI susceptibility: text-based word problems that can be transcribed into AI prompts serve as the treated group, while graph-based problems requiring interactive platform manipulation serve as the comparison.

Time-on-Task Decline

Learning time on AI-susceptible problems declined at a rate of 2.8% per quarter among college students after ChatGPT's release, cumulating to a 26.9% reduction over eleven quarters. The effect varied by age group:

  • High school: 31.3% cumulative decline
  • Middle school: 9.0% cumulative decline
  • Grade 5: No detectable change
  • Proctoring Eliminates the Effect

    The divergence in study time vanishes entirely under proctoring for college students, ruling out general efficiency improvements as an explanation. This strongly implicates off-platform AI use rather than any platform, cohort, or curriculum change.

    Learning Outcome Impact

  • Proctored retention items: 25% cumulative decline in odds of correct response
  • Non-proctored assessment: Large opposite-signed increase — impossible to attribute to anything other than AI assistance
  • The "Cognitive Surrender" Concept

    The authors introduce the term cognitive surrender to describe students offloading thinking to generative AI, producing a measurable population-level decline in durable knowledge. This represents a fundamental shift from Cognitive Offloading as a deliberate metacognitive strategy to a passive, unreflective dependency.

    Implications for the Wiki

    This study provides the strongest empirical evidence yet for the Over Reliance phenomenon documented across the wiki. It extends findings from GenAI Performance Vs Learning and Cognitive Shift AI Education by demonstrating effects at population scale with objective behavioral measures rather than self-report. The findings have direct implications for:

  • Academic Integrity policy and assessment governance
  • AI Literacy curriculum design
  • learning-gains measurement methodology
  • Educational Regulation and AI policy
  • Connected Concepts

  • Generative AI
  • Cognitive Offloading
  • Over Reliance
  • Academic Integrity
  • AI Literacy
  • Regulation
  • Connected Articles

  • GenAI Performance Vs Learning
  • Cognitive Shift AI Education
  • Citation

    Rismanchian, S., Uzun, H., Matayoshi, J., Cosyn, E., & Kurd-Misto, E. (2026). Faster Completion, Less Learning: Generative AI Reduced Study Time on Math Problems and the Knowledge They Build. arXiv:2605.21629.