Novices showed marginally higher complexity of SRL phase sequences than experts (frequent but predictable transitions), with no group differences in entropy or transition number¶

Claim · All claims
Evidence · 1 study (2 entries) · associational r1 · q2
Currency · newest study 2025 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q2 i? Novices demonstrated more complexity in SRL phase sequences (Med = 0.83) than experts (Med = 0.78), a marginal difference (W = 140, p = 0.0539). → Cloude 2025 q2 i? There were no differences between groups in entropy or the number of transitions (ps > 0.05). → Cloude 2025 (2)

Evidence¶

Cloude 2025¶

Cloude, E. B., Chapman, R., Azevedo, R., Castiglioni, A., LaRochelle, J., Hernandez, C., & Torre, D. (2025). Novice and expert self-regulated learning phase transitions in medical diagnosis: Implications for adaptive and intelligent systems. Instructional Science. https://doi.org/10.1007/s11251-025-09729-4

q2 · i? · associational · r1

Wilcoxon Sum Rank test comparing individual sequence characteristics between experts and novices; the complexity difference was marginal (p = 0.0539) with "Novices demonstrated more complexity in SRL phase sequences (Med = 0.83) compared to experts (Med = 0.78)". No effect size is printed.

"The results also revealed a marginal difference in the complexity of SRL phase dynamics between groups, W = 140, p = 0.0539. Novices demonstrated more complexity in SRL phase sequences (Med = 0.83) compared to experts (Med = 0.78)."

Cloude 2025 (2)¶

Cloude, E. B., Chapman, R., Azevedo, R., Castiglioni, A., LaRochelle, J., Hernandez, C., & Torre, D. (2025). Novice and expert self-regulated learning phase transitions in medical diagnosis: Implications for adaptive and intelligent systems. Instructional Science. https://doi.org/10.1007/s11251-025-09729-4

q2 · i? · associational · r1

Null results from the same Wilcoxon comparisons: "There were no differences in entropy or the number of transitions between groups (ps > 0.05)". No effect sizes are printed, so equivalence was not tested.

"There were no differences in entropy or the number of transitions between groups (ps > 0.05)."

Discussion¶

Learner Variables¶

• Prior Knowledge — predictor: learners who differ on it differ in outcomes

Related Claims¶

• Experts verbalized fewer SRL phases overall than novices during clinical reasoning, with feelings of uncertainty almost absent among experts — related
• Relations between SRL phase frequency/diversity and illness script activation were mixed across cases: more frequent and diverse transitions were sometimes beneficial (Cases 2, 4) and sometimes detrimental (Cases 1, 3, 5) — related
• SRL phase transitions during clinical reasoning with a multimedia system are frequent, cyclical, and dominated by Forethought→Performance and Performance→Forethought transitions — related
• The relation between medical expertise and diagnostic accuracy was case-dependent: positive for Case 4, negative for Case 1 (novices outperformed experts), and absent for Cases 2, 3, and 5 — related
• Groups' progress during collaboration falls into four data-driven categories differing in sequence frequencies and the regulation phases groups return to — related
• Empirical studies support Zimmerman's SRL models, including expert-novice differences and phase-training effects — related