Researchers see self-regulated learning (SRL) as a fundamental skill for succeeding in massive open online courses (MOOCs). However, there is no sufficient evidence of adequate functioning of SRL dimensions such as environment structuring, goal setting, time management, help-seeking, task strategies, and self-evaluation in the MOOC environment. This study fills the gap in understanding the structure of SRL skills utilising the Online Self-Regulated Learning Questionnaire (OSLQ). The constructrelated validity of the OSLQ is evaluated based on self-reported survey responses of 913 Russian MOOC learners with confirmatory factor analysis and criterion-related validity is checked with independent samples t-tests comparison. The results show that the original six-factor hierarchical model does not fit the data adequately. The evidence implies that the dimension 'help-seeking' is not effective in the MOOC environment. Therefore, a redefined five-factor hierarchical model of the OSLQ is suggested.
Student agency serves as a key factor in student success at university, and a crucial factor in distance learning. The forced transition to teaching with distance educational technologies eased external regulation and showed a picture of student agency. This study aims to describe how instructors assess student agency and how it changes with distance learning. Our study is based on the data from 27 interviews with instructors from 12 Russian leading universities. Interviews were held in two waves: before and during the COVID-19 pandemic. In this study, we analyze how the learning process is organized in the new conditions, how instructors assess students’ agency in traditional and distance learning, and we also present instructors’ forecast for the future and practices that they plan to continue using when the quarantine is over.
In Russia, as well as in the globe, there is a substantial imbalance in proportions of men and women who choose engineering undergraduate programs. As previous research demonstrated, this phenomenon can be explained by the gender stereotypes about better natural abilities of men to understand mathematical and engineering subjects. The paper is aimed to define the prevalence of gender stereotypes and gender differences in the choice of engineering majors, and explore associations between gender bias and the reasons for major choice. The survey data about undergraduate engineering students collected in one regional Russian university with strong focus on technical science was utilized (N = 1791). According to our results, the most widespread gender stereotypes among engineering students are that men better understand physical phenomena and patterns and have more developed technical and logical reasonings, while women are more neat and diligent. Reasons for engineering program choice do not significantly differ for men and women students. However, men students affected by gender stereotypes more often reported their wish to get a good job after graduation as a reason for major choice. While, women students, affected by gender stereotypes about better natural math abilities of men, more often reported that their major choice was made by the influence of family. Moreover, women are less satisfied with their choice of university and undergraduate program.
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