In a hierarchical regression, class-level knowledge gap closing had the largest beta weight of all considered predictors of performance¶

Claim · All claims
Evidence · 1 study · causal r1 · q2
Currency · newest study 2025 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q2 i? Closing knowledge gaps significantly predicted performance at both student level (b = 0.09) and class level (b = 1.04), with the class-level beta the largest among all considered variables. → Spitzer 2025 q2 i? Usage variables (weeks, problems), repetitions, prerequisites, and uniform assignments were also significant, while single assignments and books at class level were not significant. → Spitzer 2025

Evidence¶

Spitzer 2025¶

Spitzer, M. W. H., Moeller, K., Richter, E., Frede, L., & Bardach, L. (2025). A red button does it all: A red button nudges students to close their knowledge gaps in an intelligent tutoring system. Learning and Instruction 99 (2025) 102181. https://doi.org/10.1016/j.learninstruc.2025.102181

q2 · i? · causal · r1

Hierarchical linear regression on the badge-on period data (conditional R2 = 0.36, marginal R2 = 0.13, ICC = 0.26). Table 2 reports Knowledge gaps closed (student) b = 0.09 and (class) b = 1.04, both p < .001; the article states the class-level beta "was largest". No standardized effect size is printed for these coefficients.

"The results indicated a significant effect of closing knowledge gaps on students' performance. In particular, a higher relative number of closed knowledge gaps was associated with better performance (at the student-level and class-level)"

Discussion¶

Related Claims¶

• Closing knowledge gaps showed the highest association with performance among all considered variables (partial r = 0.17) — related
• Closing knowledge gaps between a baseline and an end period predicted higher performance in the end period — related
• Students closed a higher relative number of knowledge gaps when a red notification badge nudged them than when it was turned off — related