Over-reliance on AI scaffolding risks learned helplessness, so focus should shift to fostering self-regulated AI interaction¶

Claim · All claims
Evidence · 1 study · review r2 · q1
Currency · newest study 2026 · checked against its sources 2026-10-15 (automated, 1 of 1 entry) · not reviewed by a person

Subclaims¶

q1 i? Generative AI provides implicit scaffolding through its adaptive, iterative nature, making it hard to gauge when to withdraw support, and over-reliance risks inducing learned helplessness that undermines student autonomy. → Steve Woollaston 2026

Evidence¶

Steve Woollaston 2026¶

Steve Woollaston, Brendan Flanagan, Isanka Wijerathne, and Hiroaki Ogata. (2026). Agentic AI and Pedagogical Best Practice: The Tension Between Automation and Learning. https://arxiv.org/abs/2606.04543 doi:10.48550/arxiv.2606.04543

q1 · i? · review · r2

Theoretical argument in the article's scaffolding section, drawing on the learned-helplessness literature it cites. The article states this as a risk, not a measured finding, and reports no data of its own.

"Over-reliance on this automated assistance risks inducing "learned helplessness" which undermines the goal of student autonomy."

Discussion¶

Learner Variables¶

• Self-Regulation — outcome: instruction changes it

Related Claims¶

• How genAI is used, not who uses it, predicts whether independent performance declines or improves — the general claim this finding bears on, with the studies behind it
• Self-regulated learning improves achievement — a broader claim this one bears on
• Attributing repeated failure to lack of ability fosters learned helplessness, while external, unstable, specific attributions are adaptive — related
• Self Regulated Learning Predicts Achievement — a broader claim this one bears on
• Scaffolding improves learning — related
• Within the AI-assisted group, the frequency of checking the AI's claims against sources predicted decision-making gains, with no students flagged for over-reliance — related
• The AI-IVE-PBL model's learning-outcome advantages are attributed to fostering sustained idea-developing discourse (SIDD) — related
• The AI's nonjudgmental conversational tone and adaptive prompting fostered risk-taking and productive struggle in a psychologically safe environment — related
• Evidence suggests over-reliance on generative AI may negatively affect students' self-regulated learning behaviors, potentially harming retention and transfer to novel contexts — possibly the same claim (merge candidate)
• Risk aversion plays a significant role in teachers' GenAI adoption decisions — related
• Effective AI use increases AI over-reliance, which negatively affects sustainable learning performance — related
• Most learners disregarded the system's learning and repetition recommendations, with self-regulated decision-making taking precedence over the suggested path — related
• Automating constructive alignment with GenAI risks shifting it towards an instrument of compliance — related
• A systematic review reports that over-reliance on AI dialogue systems fosters complacency and dependency and may weaken students' decision-making — related
• The current GenAI discourse promises efficiencies while automation of pedagogical design risks devaluing the educational process and undermining educator expertise — related