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Self-determined motivation and associated factors among health professions students in distance learning: a cross- sectional study in Morocco

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Purpose: Learning motivation is an important factor in the teaching learning process in a digital environment. This study aims to examine self-determined motivation levels and associated factors among health professions students in distance learning activities. Methods: A cross-sectional, analytical, quantitative, multicenter study was conducted among health professions students from February 15, 2022, to July 31, 2022. Students’ self-determined motivation was assessed using a self-administered instrument. It consisted of 16 items categorized into four dimensions: intrinsic motivation, external regulation, identified regulation, and amotivation. It was based on 7-point Likert scale, ranging from 1 (strongly disagree) to 7 (strongly agree). Student engagement was examined using 15 items classified into the following subscales: behavioral, emotional, and cognitive engagement. A correlation between student motivation and engagement was performed. Univariate and multivariate logistic regression analyses were used to identify factors associated with students’ self-determined motivation in distance learning activities. Results: Of 1,121 students invited to the study, 1,061 valid questionnaires were received, giving a response rate of 94.6%; 595 participants (56.1%) were self-determined in distance pedagogical activities. Multiple regression analysis showed that ethnicity (adjusted odds ratio [aOR], 0.25; 95% confidence interval [CI], 0.08–0.73; p=0.012), educational level (aOR, 1.65; 95% CI, 1.16–2.34; p=0.005), distance learning environment (aOR, 1.65; 95% CI, 1.19–2.29; p=0.003), and student engagement: (aOR, 2.9; 95% CI, 2.21–3.80; p<0.001) were the significant factors associated with students’ self-determined motivation in distance learning. Conclusion: This study predicted some factors influencing students’ self-determined motivation. Health professions teachers need to be encouraged to adopt effective pedagogical practices in order to maintain and develop student motivation.

Abstract

Purpose: Learning motivation is an important factor in the teaching learning process in a digital environment. This study aims to examine self-determined motivation levels and associated factors among health professions students in distance learning activities. Methods: A cross-sectional, analytical, quantitative, multicenter study was conducted among health professions students from February 15, 2022, to July 31, 2022. Students’ self-determined motivation was assessed using a self-administered instrument. It consisted of 16 items categorized into four dimensions: intrinsic motivation, external regulation, identified regulation, and amotivation. It was based on 7-point Likert scale, ranging from 1 (strongly disagree) to 7 (strongly agree). Student engagement was examined using 15 items classified into the following subscales: behavioral, emotional, and cognitive engagement. A correlation between student motivation and engagement was performed. Univariate and multivariate logistic regression analyses were used to identify factors associated with students’ self-determined motivation in distance learning activities. Results: Of 1,121 students invited to the study, 1,061 valid questionnaires were received, giving a response rate of 94.6%; 595 participants (56.1%) were self-determined in distance pedagogical activities. Multiple regression analysis showed that ethnicity (adjusted odds ratio [aOR], 0.25; 95% confidence interval [CI], 0.08–0.73; p=0.012), educational level (aOR, 1.65; 95% CI, 1.16–2.34; p=0.005), distance learning environment (aOR, 1.65; 95% CI, 1.19–2.29; p=0.003), and student engagement: (aOR, 2.9; 95% CI, 2.21–3.80; p<0.001) were the significant factors associated with students’ self-determined motivation in distance learning. Conclusion: This study predicted some factors influencing students’ self-determined motivation. Health professions teachers need to be encouraged to adopt effective pedagogical practices in order to maintain and develop student motivation.

참고문헌 (23)

  1. Regmi K, "A systematic review of the factors-enablers and barriers-affecting e-learning in health sciences education", BMC Med Educ, 20(1), pp.91~ (2020)
  2. Aziz Naciri, "E-learning in health professions education during the COVID-19 pandemic: a systematic review", Journal of Educational Evaluation for Health Professions, 18, pp.1~11 (2021), 한국보건의료인국가시험원[DOI]
  3. Ryan RM, "Intrinsic and extrinsic motivations : classic definitions and new directions", Contemp Educ Psychol, 25(1), pp.54~67 (2000)
  4. Deci EL, "Handbook of self-determination research" (2002), University of Rochester Press
  5. Deci EL, "The general causality orientations scale : self-determination in personality", J Res Personal, 19(2), pp.109~134 (1985)
  6. Guay F, "On the assessment of situational intrinsic and extrinsic motivation : the Situational Motivation Scale(SIMS)", Motiv Emot, 24, pp.175~213 (2000)
  7. Sun JC, "Situational interest, computer selfefficacy and self-regulation : their impact on student engagement in distance education", Br J Educ Technol, 43(2), pp.191~204 (2012)
  8. Mukaka MM, "Statistics corner : a guide to appropriate use of correlation coefficient in medical research", Malawi Med J, 24(3), pp.69~71 (2012)
  9. Chemsi G, "Study of the self-determined motivation among students in the context of online pedagogical activities", Int J Emerg Technol Learn, 15(5), pp.17~29 (2020)
  10. Naciri A, "Exploring student motivation and performance in the flipped classroom : a case study of nursing students", Electron J Gen Med, 19(3), pp.em364~ (2022)
  11. Fırat M, "Level of intrinsic motivation of distance education students in e-learning environments", J Comput Assist Learn, 34(1), pp.63~70 (2018)
  12. Gedera D, "Motivation, Leadership and Curriculum Design: Engaging the Net Generation and 21st Century Learners", pp.13~23 (2015), Springer
  13. Barak M, "Motivation to learn in massive open online courses : examining aspects of language and social engagement", Comput Educ, 94, pp.49~60 (2016)
  14. Isik U, "Factors influencing academic motivation of ethnic minority students : a review", Sage Open, 8(2), pp.2158244018785412~ (2018)
  15. Alphonse A, "How online students describe their physical learning environment", Q Rev Distance Educ, 20(2), pp.29~74 (2019)
  16. Ng CF, "The physical learning environment of online distance learners in higher education : a conceptual model", Front Psychol, 12, pp.635117~ (2021)
  17. Dost S, "Perceptions of medical students towards online teaching during the COVID-19 pandemic : a national cross-sectional survey of 2721 UK medical students", BMJ Open, 10(11), pp.e042378~ (2020)
  18. Outhwaite L, "Inequalities in resources in the home learning environment" (2020), UCL Centre for Education Policy and Equalising Opportunities
  19. Fryer LK, "Supporting students’ motivation for e-learning : teachers matter on and offline", Int High Educ, 30, pp.21~29 (2016)
  20. Milligan C, "Patterns of engagement in connectivist MOOCs", J Online Learn Teach, 9(2), pp.149~159 (2013)
  21. Cazan AM, "Learning motivation, engagement and burnout among university students", Procedia Soc Behav Sci, 187, pp.413~417 (2015)
  22. Kim KJ, "Changes in student motivation during online learning", J Educ Comput Res, 44(1), pp.1~23 (2011)
  23. Susilawati S, "Online learning through WhatsApp group in improving learning motivation in the era and post pandemic COVID-19", J Educ Theory Res Dev, 5(6), pp.852~859 (2020)

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