Cognitive load mediates the effect of personalized paths on learning outcomes, with motivation and self-efficacy as complementary mediators¶

Claim · All claims
Evidence · 1 study · causal r2 · q3
Currency · newest study 2026 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q3 i? Personalized paths significantly reduced cognitive load (β = −0.72), and higher cognitive load was associated with poorer post-test performance (β = −0.48), supporting a mediation pathway; the abstract reports an indirect effect of 0.28, 95% CI (0.19, 0.37). → Feng Z and Huang K 2026

Evidence¶

Feng Z and Huang K 2026¶

Feng Z and Huang K (2026) Bayesian cognitive diagnosis optimizes personalized learning paths via mediation of cognitive load and Hidden Markov Model state transitions. Front. Psychol. 17:1879982. https://doi.org/10.3389/fpsyg.2026.1879982

q3 · i? · causal · r2

Bootstrap mediation analysis (5,000 resamples, bias-corrected 95% CIs) in the randomized experiment. The structural paths show "β = −0.72" for paths on load and "β = −0.48" for load on post-test; the abstract reports indirect effect = 0.28, CI (0.19, 0.37).

"The direct effect of intervention type on cognitive load was negative (β = −0.72, p < 0.001), indicating that personalized paths significantly reduced cognitive load. The direct effect of cognitive load on post-test performance was negative (β = −0.48, p < 0.001)"

Discussion¶

Related Claims¶

• In a randomized experiment, personalized paths reduced learning time by 22.0% and improved post-test scores versus a fixed sequence — related
• Personalized paths reduced self-reported cognitive load on all six adapted NASA-TLX dimensions with large effect sizes — related
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