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September 11, 2026
How to Assess Students Knowledge in the Age of AI
A researcher at HSE University has proposed a flowchart to help lecturers decide how to assess students who use artificial intelligence. It shows where the use of AI should be restricted and where it can be incorporated into the learning process. The article has been published in IT Professional.
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Role of self-regulated learning and self-efficacy in predicting academic results of elementary school students in Russia

Educational Studies. 2026. Vol. 52. No. 3. P. 271–291.
Akhmedjanova D.

Self-regulated learning (SRL) and self-efficacy (SE) relate to the improvement of students’ academic outcomes in diverse cultural contexts. In Russia, the research on SRL is well established; however, most of the studies are focused on the university and middle/high school students. The research on SRL and self-efficacy in elementary schools is rather scarce. The novelty of this paper is a study on how SRL and self-efficacy predict scores in mathematics and reading in elementary students relying on survey research design. The data from fourth grade students (n = 2,158) were analysed using parametric tests and multigroup structural equation modelling. Results indicated that the effect of combined SRL and SE accounted for 28% of variance in math scores and 18% of variance in reading scores. The indirect effect of SRL through SE contributed to math scores (36% of variance) and reading scores (47% of variance). Analyses by gender and location revealed a small yet negative direct effect of SRL on students’ math and reading scores. In both models, SE mediated the effects of SRL on academic performance by explaining around 35% (math) and 32% (reading) of variances in students’ scores, which emphasizes the development of students’ self-efficacy in math and reading.

Research target: Psychology Education
Language: English
DOI
Text on another site
Keywords: self-efficacystructural equation modeling (SEM)self-regulated learningelementary school academic achievement
Publication based on the results of:
Longitudinal study of factors influencing school failure (2023)
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