HCJul 6

AIED's Unfinished Mission: Centering Agency and Motivation in the Age of Effortless Bypass

arXiv:2607.055575.1
Predicted impact top 56% in HC · last 90 daysOriginality Synthesis-oriented
AI Analysis

For AIED researchers, this paper reframes the core challenge of AI in education from effectiveness to learner motivation, but it is a conceptual argument without empirical results.

The paper argues that AIED must prioritize learner agency and motivation to counter the 'effortless bypass' dilemma where students can use AI to complete tasks without learning. It proposes five research directions and four envisioned technologies to ensure authentic engagement.

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.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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