Adaptive feedback does not improve pre-service teachers' diagnostic accuracy in simulation-based learning¶

Claim · All claims
Evidence · 1 study · causal r? · q3
Currency · newest study 2022 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q3 i? Automatic adaptive feedback did not facilitate pre-service teachers' diagnostic accuracy compared with static feedback. → Sailer 2022

Evidence¶

Sailer 2022¶

Sailer, Michael; Bauer, Elisabeth; Hofmann, Riikka; Kiesewetter, Jan; Glas, Julia. (2022). Adaptive Feedback from Artificial Neural Networks Facilitates Pre-Service Teachers' Diagnostic Reasoning in Simulation-based Learning. Learning and Instruction. https://doi.org/10.1016/j.learninstruc.2022.101620

q3 · i? · causal · r?

In the same N = 178 experimental study, diagnostic reasoning was operationalised as diagnostic accuracy and quality of justifications; the article reports the adaptive-feedback benefit held for justifications "but not their diagnostic accuracy". No effect size for the accuracy null is printed.

"Results show that adaptive feedback facilitates pre-service teachers' quality of justifications in written assignments, but not their diagnostic accuracy."

Discussion¶

Related Claims¶

• Automatic adaptive feedback based on artificial neural networks facilitates pre-service teachers' quality of justifications in written assignments in simulation-based learning — related
• Collaboration format (individual vs. dyad) was experimentally manipulated alongside feedback format in simulation-based teacher learning — related
• Real-time adaptive scaffolding based on note-coded proof indicators elicited more elaborate diagnostic reasoning — related
• Adaptive feedback outperforms generic feedback for pre-service teachers' noticing in a virtual classroom — related
• Static expert-solution feedback had detrimental effects on the learning process when pre-service teachers worked in dyads — related