Without explicit guidance and scaffolding, unguided GenAI use may disproportionately benefit already advantaged students and widen performance gaps¶

Claim · All claims
Evidence · 1 study · theoretical r2 · q1
Currency · newest study 2026 · checked against its sources 2026-10-20 (automated, 1 of 1 entry) · not reviewed by a person

Subclaims¶

q1 i? The authors argue that students with strong study habits, high motivation, and confidence in directing an AI system benefit disproportionately, while students with weaker study skills or lower academic self-efficacy may experience the tool as a source of complexity and frustration. → Linus Brunnström & Lisa Palmqvist 2026

Evidence¶

Linus Brunnström & Lisa Palmqvist 2026¶

Linus Brunnström & Lisa Palmqvist. (2026). AI-interaction literacy: reflections on how generative AI might be used to support self-regulated learning in higher education. Assessment & Evaluation in Higher Education. https://doi.org/10.1080/02602938.2026.2731261

q1 · i? · theoretical · r2

Authors' interpretive argument (type e) in the discussion, not a tested result: the demonstration cannot determine how different student groups would experience such interactions, but the authors reason that effective prompting and interaction management may create its own gap.

"Without explicit guidance and scaffolding, GenAI may be most beneficial to already advantaged students: those with strong study habits, high motivation, and confidence in questioning and directing an AI system."

Discussion¶

Related Claims¶

• Evidence suggests over-reliance on generative AI may negatively affect students' self-regulated learning behaviors, potentially harming retention and transfer to novel contexts — the general claim this finding bears on, with the studies behind it
• In one randomized working-paper experiment, conceptual-map scaffolding gave LLM-using novices marginally higher scores (p < .10) and lower score variance, with a marginal benefit concentrated among low-AIC novices — related
• In unguided GenAI collaboration, ethnic minority preparatory students’ strategy talk co-occurred with passive sharing and uncritical acceptance, forming a plan-and-paste loop — related
• Without explicit scaffolding, the two lower-agency paths (Passive Review and Direct Question) accounted for 64% of student-AI interactions in the primary sample — related
• Unassisted discovery produces less learning than explicit instruction, while discovery enhanced with guidance outperforms other instruction — a broader claim this one bears on
• Minimally guided instruction is less effective and less efficient than instruction that places a strong emphasis on guidance of the student learning process — related
• Students attributed initial passive reliance on GenAI to prompting paralysis and an authority bias compounded by low academic self-efficacy — related
• High teaching guidance in concept mapping yields larger effects than low guidance, though marginal after excluding influential studies — related