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"Seon Kim"

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"Seon Kim"

Original Research
Purpose
The purpose of this study was to investigate the effect of motivational regulation strategies (MRSs) on cognitive learning and academic performance.
Methods
The participants were a total of 510 pre-medical and medical students. Survey instruments assessed the use of MRSs and cognitive learning strategies. Students’ grade point averages were used for academic performance. Structural equation modeling was used to analyze data, using Mplus ver. 7.4 (Muthén & Muthén, Los Angeles, USA).
Results
Confirming the measurement model validity, the results of structural model indicated the followings: (1) MRSs had a significant impact on cognitive learning, while these strategies negatively affected academic performance; (2) cognitive learning significantly influenced academic performance and mediated the effect of MRSs on academic performance; and (3) only academic levels had a significant effect on cognitive learning.
Conclusion
The findings from this study confirmed that MRSs were highly influential to predicting students’ cognitive learning which affects their better learning performance. Thus, instructional design and practice to support learning motivation is needed to promote cognitive learning and training programs to practice the effective methods of using MRSs in learning need to be provided.

Citations

Citations to this article as recorded by  Crossref logo
  • Self-regulation of motivation in university students – a longitudinal study of interindividual differences and intraindividual trajectories
    Olena Kryshko, Michael Becker, Jens Fleischer, Detlev Leutner
    Learning and Individual Differences.2026; 125: 102817.     CrossRef
  • Self-Regulated Learning and Learning Outcomes in Undergraduate and Graduate Medical Education: A Meta-Analysis
    Binbin Zheng, Ting Sun
    Evaluation & the Health Professions.2025; 48(4): 430.     CrossRef
  • A Meta-Analysis of the Correlation Between Self-Regulated Learning Strategies and Academic Performance in Online and Blended Learning Environments
    Yingying Zhao, Yixun Li, Shuai Ma, Zhihong Xu, Bingsheng Zhang
    Computers & Education.2025; : 105279.     CrossRef
  • Relations Between Medical Students’ Motivational Persistence Skills and Their Acceptance of Specific Blended Learning Tools
    Cristina Gena Dascalu, Claudiu Topoliceanu, Magda Ecaterina Antohe
    European Journal of Investigation in Health, Psychology and Education.2025; 15(4): 45.     CrossRef
  • A cross‐sectional study of online learning during the COVID‐19 pandemic: Student perceptions
    Gjergji Koja, Erjona Abazaj
    Health Science Reports.2024;[Epub]     CrossRef
  • Influence of learning strategies and motivation on anatomy test performance of undergraduate medical students
    Laura Odontides, Katharina Scheiter, Thomas Shiozawa, Martin R. Fischer, Daniela Kugelmann, Markus Berndt
    Annals of Anatomy - Anatomischer Anzeiger.2024; 256: 152320.     CrossRef
  • Synthesizing research evidence on self-regulated learning and academic achievement in online and blended learning environments: A scoping review
    Zhihong Xu, Yingying Zhao, Jeffrey Liew, Xuan Zhou, Ashlynn Kogut
    Educational Research Review.2023; 39: 100510.     CrossRef
  • Emotional intelligence weakly predicts academic success in medical programs: a multilevel meta-analysis and systematic review
    Ahmed M. Abdulla Alabbasi, Fatema A. Alabbasi, Aseel AlSaleh, Ahmed M. Alansari, Reginald P. Sequeira
    BMC Medical Education.2023;[Epub]     CrossRef
  • Academic Performance in Medical Education During the COVID-19 Pandemic: A Scoping Review
    Yani Istadi, Tri Joko Raharjo, Mahalul Azam, Sungkowo Edy Mulyono
    Advances in Medical Education and Practice.2022; Volume 13: 1423.     CrossRef
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