🧠 AI Ed Wiki

Learning gains — measurable improvements in student knowledge, skills, or competencies resulting from educational interventions, including AI-assisted instruction. In AI in education research, learning gains serve as the primary outcome measure for evaluating whether AI tools actually improve learning — not just engagement or satisfaction.

Learning gains are the ultimate test of any educational technology. In the wiki's research, they appear as dependent variables in randomized controlled trials, pre-post comparisons in quasi-experimental studies, and correlational analyses linking AI tool usage to academic outcomes.

Key findings from the wiki:

  • Adaptive pretesting research examines whether GenAI-enabled pretesting produces durable learning gains that persist beyond immediate testing.
  • Meta-analyses of GenAI in programming find positive learning gains from structured AI use but negative effects from unguided reliance.
  • Hint button research shows negative associations between hint abuse and learning gains — more hints correlate with less learning.
  • Instructional guidance studies demonstrate that learning gains depend on HOW AI is used, not just WHETHER it's available.
  • Measuring what matters

    Learning gains connect to Assessment Validity — if assessments fail to capture deeper understanding, learning gain measures are misleading. They also intersect with Over Reliance and Cognitive Offloading, where apparent performance improvements may mask learning losses.

    Connected Concepts

  • RCT
  • Learning Gains
  • Formative Assessment
  • Over Reliance
  • Cognitive Offloading
  • Math Education
  • Human In The Loop AI
  • Affective Tutoring
  • Connected Articles

  • AI Literacy Assessment Misalignment — AI Literacy Assessment: Self-Reported vs Performance Misalignment
  • Generative AI Reduced Study Time Math — Faster Completion, Less Learning: Generative AI Reduced Study Time on Math Problems and the Knowledge They Build
  • GenAI Meta Analysis Programming Learning — A meta-analysis of the effect of generative AI on productivity and learning in programming
  • Absent Cognitive Baseline 2026 — The Absent Cognitive Baseline: Theorizing a Structural Gap in AI-Native College Students' Academic Self-Assessment
  • Oecd Digital Education Outlook 2026 — OECD Digital Education Outlook 2026
  • AI Changing Teaching Workflows — How AI Is Changing Teaching Workflows