Need Satisfaction, Motivation, and Learning Strategies in Undergraduate Kinesiology Students

References

• Abdel Meguid, E. M., Smith, C. F., & Meyer, A. J. (2020). Examining the motivation of health profession students to study human anatomy. Anatomical Sciences Education, 13(3), 343–352. https://doi.org/10.1002/ase.1919
   PubMed Web of Science ®Google Scholar
• Ahmadi, A., Noetel, M., Parker, P., Ryan, R. M., Ntoumanis, N., Reeve, J., & Lonsdale, C. (2023). A classification system for teachers’ motivational behaviors recommended in self-determination theory interventions. Journal of Educational Psychology, 15(8), 1158–1176. https://doi.org/10.1037/edu0000783
   Google Scholar
• Ariani, D. W. (2019). Basic psychological needs as predictors of burnout and engagement. Journal of Psychological and Educational Research, 27(2), 51–74.
   Web of Science ®Google Scholar
• Baeten, M., Kyndt, E., Struyven, K., & Dochy, F. (2010). Using student-centered learning environments to stimulate deep approaches to learning: Factors encouraging or discouraging their effectiveness. Educational Research Review, 5(3), 243–260. https://doi.org/10.1016/j.edurev.2010.06.001
   Web of Science ®Google Scholar
• Biggs, J., Kember, D., & Leung, D. Y. P. (2001). The revised two-factor study process questionnaire: R-SPQ-2F. British Journal of Educational Psychology, 71(1), 133–149. https://doi.org/10.1348/000709901158433
   PubMed Web of Science ®Google Scholar
• Bonsaksen, T., Brown, T., Lim, H. B., & Fong, K. (2017). Approaches to studying predict academic performance in undergraduate occupational therapy students: A cross-cultural study. BMC Medical Education, 17(1), 76. https://doi.org/10.1186/s12909-017-0914-3
   PubMedGoogle Scholar
• Brown, T. A. (2006). Confirmatory factor analysis for applied researchers. Guildford Press.
   Google Scholar
• Chodzko-Zajko, W. (2014). The American kinesiology association undergraduate core curriculum©. Quest, 66(3), 288–294. https://doi.org/10.1080/00336297.2014.918896
   Web of Science ®Google Scholar
• Coertjens, L., Vanthournout, G., Lindblom-Ylänne, S., & Postareff, L. (2016). Understanding individual differences in approaches to learning across courses: A mixed method approach. Learning and Individual Differences, 51, 69–80. https://doi.org/10.1016/j.lindif.2016.07.003
   Web of Science ®Google Scholar
• DaLomba, E., Mansur, S., Bonsaksen, T., & Greer, M. J. (2021). Exploring graduate occupational and physical therapy students’ approaches to studying, self-efficacy, and positive mental health. BMC Medical Education, 21(1), 124. https://doi.org/10.1186/s12909-021-02550-w
   PubMed Web of Science ®Google Scholar
• Elvén, M., Hochwälder, J., Dean, E., & Söderlund, A. (2019). Predictors of clinical reasoning using the reasoning 4 change instrument with physical therapist students. Physical Therapy, 99(8), 964–976. https://doi.org/10.1093/ptj/pzz044
   PubMed Web of Science ®Google Scholar
• Entwistle, N. J. (1991). Approaches to learning and perceptions of the learning environment: Introduction to the special issue. Higher Education, 22(3), 201–204. https://doi.org/10.1007/BF00132287
   Web of Science ®Google Scholar
• Entwistle, N. J. (2000). Approaches to studying and levels of understanding: The influences of teaching and assessment. In J. C. Smart (Ed.), Higher education: Handbook of theory and research (Vol. XV, pp. 156–218). Agathon Press.
   Google Scholar
• Everaert, P., Opdecam, E., & Maussen, S. (2017). The relationship between motivation, learning approaches, academic performance and time spent. Accounting Education, 26(1), 78–107. https://doi.org/10.1080/09639284.2016.1274911
   Web of Science ®Google Scholar
• Fedesco, H. N., Bonem, E. M., Wang, C., & Henares, R. (2019). Connections in the classroom: Separating the effects of instructor and peer relatedness in the basic needs satisfaction scale. Motivation and Emotion, 43(5), 758–770. https://doi.org/10.1007/s11031-019-09765-x
   Web of Science ®Google Scholar
• Gefen, D., Straub, D., & Boudreau, M. C. (2000). Structural equation modeling and regression: Guidelines for research practice. Communications of the Association for Information Systems, 4(1), 7. https://doi.org/10.17705/1CAIS.00407
   Google Scholar
• Guay, F., Roy, A., & Valois, P. (2017). Teacher structure as a predictor of students’ perceived competence and autonomous motivation: The moderating role of differentiated instruction. British Journal of Educational Psychology, 87(2), 224–240. https://doi.org/10.1111/bjep.12146
   PubMed Web of Science ®Google Scholar
• Hattie, J., & Donoghue, G. (2016). Learning strategies: A synthesis and conceptual model. Npj Science Learn, 1(1), 16013. https://doi.org/10.1038/npjscilearn.2016.13
   PubMedGoogle Scholar
• Hattie, J. A. C. (2009). Visible learning: A synthesis of over 800 meta-analyses relating to achievement. Routledge.
   Google Scholar
• Hsu, H. C. K., Wang, C. V., & Levesque-Bristol, C. (2019). Reexamining the impact of self-determination theory on learning outcomes in the online learning environment. Education and Information Technologies, 24(3), 2159–2174. https://doi.org/10.1007/s10639-019-09863-w
   Web of Science ®Google Scholar
• Hu, L. T., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6(1), 1–55. https://doi.org/10.1080/10705519909540118
   Web of Science ®Google Scholar
• Karimi, S., & Sotoodeh, B. (2020). The mediating role of intrinsic motivation in the relationship between basic psychological needs satisfaction and academic engagement in agriculture students. Teaching in Higher Education, 25(8), 959–975. https://doi.org/10.1080/13562517.2019.1623775
   Web of Science ®Google Scholar
• Kline, R. B. (2016). Principles and practices of structural equation modeling. Guildford Press.
   Google Scholar
• Liem, A. D., Lau, S., & Nie, Y. (2008). The role of self-efficacy, task value, and achievement goals in predicting learning strategies, task disengagement, peer relationship, and achievement outcome. Contemporary Educational Psychology, 33(4), 486–512. https://doi.org/10.1016/j.cedpsych.2007.08.001
   Web of Science ®Google Scholar
• Liu, W. C., Wang, C. K. J., Kee, Y. H., Koh, C., Lim, B. S. C., & Chua, L. (2013). College students’ motivation and learning strategies profiles and academic achievement: A self-determination theory approach. Educational Psychology, 34(3), 338–353. https://doi.org/10.1080/01443410.2013.785067
   Web of Science ®Google Scholar
• Makarova, D. (2021). Metacognitive regulation, basic psychological needs and subjective vitality of first year university students. Vestnik of Saint Petersburg University Psychology, 11(1), 63–71. https://doi.org/10.21638/spbu16.2021.104
   Google Scholar
• Marton, F., & Saljo, R. (1997). Approaches to learning. In F. Marton, D. Hounsell, & N. Entwistle (Eds.), The experience of learning (pp. 39–58). Scottish Academic Press.
   Google Scholar
• Mauldin, A. J., Kang, C., Stocz, M., Shremshock, P., & Estes, S. (2022). Exploring servant teaching in kinesiology: A self-determination theory perspective. International Journal of Kinesiology in Higher Education, 6(3), 160–173. https://doi.org/10.1080/24711616.2020.1869513
   Google Scholar
• Nadrljanski, M., Pavlinović, M., & Šimundić, S. (2020). Professional Preparation of Teachers for New Models of Student Practical Training. In V. Uskov, R. Howlett, & L. Jain (Eds.), Smart Education and e-Learning 2020. Smart Innovation, Systems and Technologies (Vol. 188). Springer. https://doi.org/10.1007/978-981-15-5584-8_49
   Google Scholar
• Ng, J. Y. Y., Lonsdale, C., & Hodge, K. (2011). The basic needs satisfaction in sport scale (BNSSS): Instrument development and initial validity evidence. Psychology of Sport and Exercise, 12(3), 257–264. https://doi.org/10.1016/j.psychsport.2010.10.006
   Web of Science ®Google Scholar
• Pennington, C. G., & Brock, L. A. (2021). A historical perspective of kinesiology: A look into the past, acknowledging the present, establishing our future. In C. G. Pennington (Ed.), Current issues in kinesiology and sport pedagogy (pp. 8–25). Nova Science Publishers.
   Google Scholar
• Reeve, J., & Cheon, S. H. (2021). Autonomy-supportive teaching: Its malleability, benefits, and potential to improve educational practice. Educational Psychologist, 56(1), 54–77. https://doi.org/10.1080/00461520.2020.1862657
   Web of Science ®Google Scholar
• Reeve, J., Jang, H., Carrell, D., Jeon, S., & Barch, J. (2004). Enhancing students’ engagement by increasing teachers’ autonomy support. Motivation and Emotion, 28(2), 147–169. https://doi.org/10.1023/b:moem.0000032312.95499.6f
   Web of Science ®Google Scholar
• Ryan, R. M., & Deci, E. L. (2000). Self-determination theory and the facilitation of intrinsic motivation, social development, and well-being. American Psychologist, 55(1), 68–78. https://doi.org/10.1037/0003-066X.55.1.68
   PubMed Web of Science ®Google Scholar
• Ryan, R. M., & Deci, E. L. (2019). Brick by brick: The origins, development, and future of self-determination theory. Advances in Motivation Science, 6, 111–156. https://doi.org/10.1016/bs.adms.2019.01.001
   Google Scholar
• Sæle, R. G., Dahl, I. R., Sørlie, T., & Friborg, O. (2017). Relationships between learning approach, procrastination and academic achievement amongst first-year university students. Higher Education, 74(5), 757–774. https://doi.org/10.1007/s10734-016-0075-z
   Web of Science ®Google Scholar
• Salamonson, Y., Weaver, R., Chang, S., Koch, J., Bhathal, R., Khoo, C., & Wilson, I. (2013). Learning approaches as predictors of academic performance in first year health and science students. Nurse Education Today, 33(7), 729–733. https://doi.org/10.1016/j.nedt.2013.01.013
   PubMed Web of Science ®Google Scholar
• Sierens, E., Vansteenkiste, M., Goossens, L., Soenens, B., & Dochy, F. (2009). The synergistic relationship of perceived autonomy support and structure in the prediction of self-regulated learning. British Journal of Educational Psychology, 79(1), 57–68. https://doi.org/10.1348/000709908x304398
   PubMed Web of Science ®Google Scholar
• Smith, C. F., Martinez-Álvarez, C., & McHanwell, S. (2014). The context of learning anatomy: Does it make a difference? Journal of Anatomy, 224(3), 270–278. https://doi.org/10.1111/joa.12089
   PubMed Web of Science ®Google Scholar
• Suhr, D. D. (2008). Step your way through path analysis. In Western Users of SAS Software Conference Proceedings.
   Google Scholar
• Vallerand, R. J., Pelletier, L. G., Blais, M. R., Briere, N. M., Senecal, C., & Vallieres, E. F. (1992). The academic motivation scale: A measure of intrinsic, extrinsic, and amotivation in education. Educational and Psychological Measurement, 52(4), 1003–1017. https://doi.org/10.1177/0013164492052004025
   Web of Science ®Google Scholar
• Vasconcellos, D., Parker, P., Hilland, T., Cinelli, R., Owen, K., Kapsal, N., Lee, J., Antczak, D., Ntoumanis, N., Ryan, R., & Lonsdale, C. (2020). Self-determination theory applied to physical education: A systematic review and meta-analysis. Journal of Educational Psychology, 112(7), 1444–1469. https://doi.org/10.1037/edu0000420
   Web of Science ®Google Scholar
• Wang, C., & McWatt, S. C. (2023). Visuospatial ability and student approach to learning as predictors of academic performance on written versus laboratory-based assessments in human anatomy. Anatomical Sciences Education, 1–13. https://doi.org/10.1002/ase.2317
   Web of Science ®Google Scholar
• Yu, S., & Levesque-Bristol, C. (2020). A cross-classified path analysis of the self-determination theory model on the situational, individual and classroom levels in college education. Contemporary Educational Psychology, 61, 101857. https://doi.org/10.1016/j.cedpsych.2020.101857
   Web of Science ®Google Scholar
• Zimmerman, B. J., & Schunk, D. H. (2012). Motivation: An essential dimension of self-regulated learning. In D. H. Schunk & B. J. Zimmerman (Eds.), Motivation and self-regulated learning (pp. 1–30). Routledge.
   Google Scholar
• Zusho, A. (2017). Toward an integrated model of student learning in the college classroom. Educational Psychology Review, 29(2), 301–324. https://doi.org/10.1007/s10648-017-9408-4
   Web of Science ®Google Scholar