Instructor-scripted self-explanation prompts have limitations, motivating computer-generated prompts¶

Claim · All claims
Evidence · 1 study · quant-synthesis r? · q1
Currency · newest study 2018 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q1 i? The authors recommend that future research explore computer generation of self-explanation prompts because relying on instructor-scripted prompts has limitations. → Bisra 2018

Evidence¶

Bisra 2018¶

Bisra, K., Liu, Q., Nesbit, J. C., Salimi, F., & Winne, P. H. (2018). Inducing Self-Explanation: a Meta-Analysis. Educational Psychology Review, 30, 703–725. https://doi.org/10.1007/s10648-018-9434-x

q1 · i? · quant-synthesis · r?

Authors' forward-looking recommendation in the meta-analysis abstract; it is an interpretive statement (the article offers no tested comparison of scripted versus computer-generated prompts), framed as "limitations of relying on instructor-scripted prompts."

"Due to the limitations of relying on instructor-scripted prompts, we recommend that future research explore computer-generation of self-explanation prompts."

Discussion¶

Related Claims¶

• The assisting self-explanation prompt effect: assisting prompts elicit high-quality self-explanations and deep understanding — the general claim this finding bears on, with the studies behind it
• A construction-focused correctness rubric underperformed behavior-focused and undefined prompts for LLM scoring of code explanations — related
• Elaborative Interrogation Improves Learning — related
• Systematic prompting of an LLM can generate cognitively activating formative feedback aligned with research-based scaffold types (demonstrated, not yet empirically validated) — related