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 construct-related 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.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7322218 | PMC |
http://dx.doi.org/10.1007/s10639-020-10244-x | DOI Listing |
Nurse Educ
October 2024
Author Affiliation: Department of Nursing, Nebraska Wesleyan University, Lincoln, Nebraska (Dr Eilts).
Background: Promoting the success and retention of novice nursing students requires a better understanding of how self-regulated and strategic learning approaches impact academic performance.
Purpose: The purpose of this correlational study was to determine if there was a predictive relationship between the results of a self-regulated learning assessment and final grades in a foundational nursing course.
Methods: The Learning and Study Strategies Inventory (LASSI) was used to collect data from a convenience sample of 75 students enrolled in an entry-level nursing course across 4 prelicensure programs.
BMC Med Educ
January 2025
Riphah international university, Rawalpindi, Pakistan.
Background: Reflection fosters self-regulated learning by enabling learners to critically evaluate their performance, identify gaps, and make plans to improve. Feedback, in turn, provides external insights that complement reflection, helping learners recognize their strengths and weaknesses, adjust their learning strategies, and enhance clinical reasoning and decision-making skills. However, reflection alone may not produce the desirable effects unless coupled with feedback.
View Article and Find Full Text PDFSelf-regulated learning (SRL) has been regarded as one of the indispensable factors affecting students' academic success in online learning environments. However, the current understanding of the mechanism/causes of SRL in online ill-structured problem-solving remains insufficient. This study, therefore, examines the configural causal effects of goal attributes, motivational beliefs, creativity, and grit on self-regulated learning.
View Article and Find Full Text PDFFront Med (Lausanne)
December 2024
School of Computing, Skyline University College, Sharjah, United Arab Emirates.
Objective: The study examines the role of blended learning in improving medical students' academic performance through self-regulatory learning and technological competence and identifies the moderating role of perceived institutional support in the relationships between self-regulatory learning, perceived teacher credibility, technological competencies, and academic performance.
Methods: The study was based on behavioral learning theory as a theoretical framework, and an adapted questionnaire was used to collect the data. In total, 275 medical students participated in the study, and the data was analyzed using structural equation modeling techniques with SmartPLS.
Background: Previous studies have confirmed the potential effectiveness of peer video feedback in the operational training of health care students. However, an appropriate theoretical framework to support peer video feedback has not been established. The cultural historical activity theory (CHAT) provides a suitable framework.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!