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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.

Motivational regulation strategies have been used as active forms of promoting motivation in online and classroom learning. Based on the motivational regulation model combining both contextual and individual factors, this study examined how students’ academic levels (undergraduate vs. graduate) and the type of course delivery mode (online vs. traditional face-to-face) influence their uses of eight motivational regulation strategies and three types of engagement. A total of 190 students consisting of 95 undergraduate students and 95 graduate students participated in this study. The results of two-way multivariate analysis of variance show that students use different sets of motivational regulation strategies depending upon their academic levels and course delivery modes. Also, graduate students showed significantly higher engagement in all three types than undergraduate students did. The findings provide practical implications for designing a customised motivational support system with specific sets of motivational regulation strategies for students in different academic levels and course delivery modes.