🧠 AI Ed Wiki

The widespread availability of general-purpose AI that can perform complex cognitive tasks threatens to undermine education at scale. This effortless bypass dilemma sharpens a challenge AIED has long engaged with but must now confront directly: ensuring learners choose effortful engagement when easier alternatives are available to complete learning tasks. In this paper, I argue that AIED's longstanding agenda of building more effective intelligent educational tools should continue, but with a renewed emphasis on the urgency of ensuring learners choose to engage authentically. Drawing on established motivational and learning theories, I outline five directions in which AIED can build on its existing strengths: supporting autonomy and agency, building learner resilience to metacognitive threats, designing for interest and relevance, amplifying process-based assessment, and empowering teachers. I then share four envisioned technologies that embody key features of this future and conclude by outlining how AIED must now evolve.

Position paper (AIED 2026) reframes the effortless bypass dilemma: AIED must keep building better tools but foreground learner agency and motivation so students choose authentic effort. Five directions: autonomy/agency, metacognitive resilience, interest/relevance, process-based assessment, and teacher empowerment.

This work connects to core wiki themes: Over Reliance Student Experience Self Regulated Learning Metacognition Teacher Role. It highlights how generative-AI tooling is reshaping both what learners do and how educators structure support, reinforcing the need for design that preserves authentic engagement rather than enabling shallow bypass.

Connected Concepts

  • Over Reliance
  • Student Experience
  • Self Regulated Learning
  • Metacognition
  • Teacher Role
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  • Citation

    Lane (2026). AIED's Unfinished Mission: Centering Agency and Motivation in the Age of Effortless Bypass. arXiv:2607.05557. AIED 2026, LNCS 3032 (Springer).