GenAI can help students overcome contextual constraints when eliciting feedback¶

Claim · All claims
Evidence · 1 study · theoretical r3 · q2
Currency · newest study 2025 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q2 i? GenAI's constant availability and less intimidating environment may help students overcome time, access and top-down-culture constraints on feedback eliciting. → Ying Zhan 2025

Evidence¶

Ying Zhan 2025¶

Ying Zhan, David Boud, Phillip Dawson & Zi Yan (2025) Generative artificial intelligence as an enabler of student feedback engagement: a framework, Higher Education Research & Development, 44:5, 1289-1304, https://doi.org/10.1080/07294360.2025.2476513

q2 · i? · theoretical · r3

Literature-based analysis in the section on eliciting feedback. The paper reports that prior studies found lack of time and instructor unapproachability hindered eliciting, and argues GenAI is 'readily accessible at any time of the day' and provides a less intimidating environment for anxious students.

"It is readily accessible at any time of the day without scheduling conflicts, which often occur with human instructors"

Discussion¶

Related Claims¶

• Students perceive GenAI tools as beneficial for academic engagement, particularly for overcoming language barriers and accessing up-to-date resources — related
• AI scaffolding differs from human scaffolding in availability, feedback timing, and dynamic adjustment, making its developmental impact conditional — related
• Interactive dialogue with the AI tool, available only in some sites, promoted deeper engagement and student agency during revision — related
• GenAI/LLM language ability, democratization potential, and semantic-sensor functions can serve the emancipatory vision without ever-increasing model complexity — related
• The OSP approach helps users overcome barriers in creating, using and scaling up meaningful ICT use in education — related