Latent profile analysis of secondary students' log-file engagement in a digital chemistry textbook identifies six distinct cognitive and metacognitive engagement profiles¶

Claim · All claims
Evidence · 1 study · associational r2 · q2
Currency · newest study 2026 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q2 i? LPA on log-file indicators of passive, active, constructive, and metacognitive engagement yielded a best-fitting six-profile solution with high classification accuracy. → Yoana Omarchevska 2026

Evidence¶

Yoana Omarchevska 2026¶

Yoana Omarchevska, Brendan A. Schuetze, Juliane Richter, Sascha Schanze, Nina Ulrich, Katharina Scheiter. (2026). From Passive to Metacognitive: The Role of Mode of Engagement in Enabling Lasting Learning Using Digital Media. Educational Psychology Review. https://doi.org/10.1007/s10648-026-10120-z

q2 · i? · associational · r2

Latent profile analysis of log-file engagement indicators from 235 students using the mclust algorithm in the tidyLPA package; models with 1 to 10 profiles were compared. The authors report the six-profile solution was best by BIC and parsimony, with "entropy = 0.98".

"A comparison of Bayesian Information Criteria along with a preference for parsimony suggested that a six-profile solution was the best solution among the tested models, see Fig. 6."

Discussion¶

Related Claims¶

• Engagement profile membership predicts delayed chemistry knowledge (six to eight weeks later) above and beyond prior knowledge — a narrower finding that bears on this claim
• Latent profile analysis of 2015 PISA data identifies four collaborative problem-solver profiles among Chinese 15-year-old students — related
• Elementary school children show distinct latent profiles of procedural metacognition combining monitoring accuracy, restudy effectiveness, and decision accuracy across tasks — related