Students dynamically switched between Socratic Inquiry and Transactional Delegation as deadlines approached and task novelty changed (the Strategic Dance)¶

Claim · All claims
Evidence · 1 study · qualitative r3 · q2
Currency · newest study 2026 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q2 i? Transactional Delegation prompts increased within the final 24–36 hours before deadlines, while Socratic Inquiry spiked when students encountered novel APIs or multi-component interactions. → Liu 2026

Evidence¶

Liu 2026¶

Liu, D., Fan, G., & Pan, L. (2026). Tool, tutor, or crutch?: A grounded theory of cognitive scaffolding and offloading in AI-assisted programming education. International Journal of STEM Education. https://doi.org/10.1186/s40594-025-00592-w

q2 · i? · qualitative · r3

Descriptive per-student timeline reconstruction aligning prompts and commits to assignment due dates, tagged by perceived complexity and familiarity from interview recall. The authors explicitly frame this as descriptive: "the proportion of Transactional Delegation prompts increased within the final 24–36 h before dead -lines".

"Descriptively, the proportion of Transactional Delegation prompts increased within the final 24–36 h before dead -lines, while spikes in Socratic Inquiry also occurred when students encountered novel APIs or multi-component interactions (e.g., GUI event handling + file persistence)."

Discussion¶

Related Claims¶

• Chatbot engagement was highly uneven: 8 of 15 voluntary users interacted continuously while 7 interacted superficially — related
• Dialogic competence is a prerequisite for meaningful engagement with LLM-based chatbots — a broader claim this one bears on
• Students primarily used the Socratic-tutor chatbot as a study aid aligned with existing study habits rather than for the intended Socratic reflection — related
• How a user engages with AI matters more than whether: structured, deliberate engagement can mitigate or reverse offloading effects — related
• The approach offers a large real-time intervention window, with a median of 176.2-196.1 hours between the prediction point and the final problem deadline — related
• Student chatbot queries were overwhelmingly task-oriented initial inquiries, dominated by definition requests and pasted assignment questions rather than iterative critique — related
• Commitment devices such as deadlines show demand but mixed effectiveness for student performance — related