AI Insight
This quasi-experimental study measured physiological arousal via electrodermal activity in 50 fourth-grade students during a mathematics lesson, comparing personalized learning based on cognitive diagnosis to conventional instruction. Both groups showed declining arousal throughout the lesson, but the personalized learning group exhibited different arousal patterns at two specific instructional transitions and demonstrated significantly higher activation frequency and post-test achievement. The personalized approach did not prevent the overall decline in arousal but was associated with distinct short-term physiological responses at key instructional moments.
Why it matters
This research provides physiological evidence that personalized learning may engage students differently during specific lesson phases, even when overall arousal patterns remain similar. The combination of higher activation frequency and better learning outcomes suggests that measuring physiological responses could help optimize the timing and design of personalized instructional interventions in real classrooms.
Understand the Science
Physiological arousal varies throughout classroom learning, yet its temporal dynamics during personalized learning in authentic primary-school classrooms remain unclear. This quasi-experimental study used electrodermal activity (EDA) to examine the lesson-wide temporal trend, dynamic trajectory, and phase-specific arousal level and activation frequency in an “Introduction to Circles” lesson. Two intact fourth-grade classes in Shanghai participated (analytic sample: experimental n = 23; control n = 27). The experimental class received personalized learning based on cognitive diagnosis, targeting discrepancies between students’ existing conceptions and target concepts; the control class received conventional instruction. Raw skin conductance (SC) and skin conductance response frequency (SCRF) served as operational indicators; within-person min–max standardized SC (SSC) served as a robustness check. Mann–Kendall tests, individual-level linear mixed-effects models, and matched-time comparisons were conducted. Across 17 two-minute windows, SSC declined significantly in both classes (control: Z = −2.266, p = 0.023; experimental: Z = −4.490, p < 0.001). The raw-SC model showed a significant Condition × Time interaction at the two-minute resolution (p = 0.008), but not at four or six minutes. Of four event-boundary adjacent-window comparisons, two Condition × Phase interactions remained significant after Holm correction: SC increased in the experimental class and decreased in the control class at the first episode start (adjusted p = 0.012); the pattern reversed at the second episode end (adjusted p = 0.002); both were reproduced using SSC. Phase-average raw SC did not differ between conditions (p = 0.900), whereas SCRF was higher in the experimental class (p < 0.001, d = 2.76). Post-test mathematics achievement was also higher in the experimental class (p = 0.005). Physiological arousal declined as the lesson progressed; the personalized-learning condition did not consistently alter this trajectory but the two classes showed different short-term SC changes at two instructional transitions. The higher post-test achievement suggests a potential learning benefit; however, the relationship between these physiological patterns and the achievement difference warrants further investigation.