Self-efficacy, learning motivation, learning environment and its effect on online learning outcomes

Masrun Masrun; Rusdinal Rusdinal

doi:10.21831/jk.v6i2.49445

Self-efficacy, learning motivation, learning environment and its effect on online learning outcomes

Masrun Masrun, Universitas Negeri Padang, Indonesia
Rusdinal Rusdinal, Universitas Negeri Padang, Indonesia

10.21831/jk.v6i2.49445

Abstract

This study aimed to analyze e students’ psychological factor, namely self-efficacy, learning motivation and learning environments on the results of online physical education learning during Covid-19 at Senior High School in Padang, West Sumatera. This study used a quantitative method using a path analysis approach, with structural equations to find out the causality of the dimensions of self-efficacy, motivation, directly on learning outcomes of physical education, or indirectly through the learning environment. The data collection was carried out using a survey technique to 160 high school students in Padang and analyzed using descriptive statistics. The results show that the power of direct influence the self-efficacy and learning motivation and significantly effect their online learning through the learning environment. It also has an impact on learning outcomes. When the teaching and learning process must be carried out through an online system, it is necessary to make improvements to various models and learning designs, so that the learning process is avoided from negative influences that can reduce student learning outcomes

Keywords

self-efficacy, learning motivation, learning environments, physical education learning outcome

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References

Al-Salman, S., & Haider, A. S. (2021). Jordanian university students’ views on emergency online learning during covid-19. Online Learning Journal. https://doi.org/10.24059/olj.v25i1.2470

Ariani, S., & Tawali, T. (2021). Problems of online learning during covid-19 pandemic in speaking for professional context class. Journal of English Language Teaching, 8(1), 32-37, https://doi.org/10.33394/jo-elt.v8i1.3783.

Artino, A. R., & McCoach, D. B. (2008). Development and initial validation of the online learning value and self-efficacy scale. Journal of Educational Computing Research, 38(3), 279–303. doi:10.2190/ec.38.3.

Bailey, R., Armour, K., Kirk, D., Jess, M., Pickup, I., & Sandford, R. (2009). The educational benefits claimed for physical education and school sport: An academic review. Research Papers in Education, 24(1). https://doi.org/10.1080/02671520701809817.

Besser, A., Flett, G. L., & Zeigler-Hill, V. (2020). Adaptability to a sudden transition to online learning during the COVID-19 pandemic: Understanding the challenges for students. Scholarship of Teaching and Learning in Psychology, 8(2), 85-105. https://doi.org/10.1037/stl0000198

Bui, K.-L., Maia, N., Saey, D., Dechman, G., Maltais, F., Camp, P. G., & Mathur, S. (2019). Reliability of quadriceps muscle power and explosive force, and relationship to physical function in people with chronic obstructive pulmonary disease: An observational prospective multicenter study. Physiotherapy Theory and Practice, 37(8), 1-9. doi:10.1080/09593985.2019.166923.

Casey, A., & Goodyear, V. A. (2015). Can cooperative learning achieve the four learning outcomes of physical education? a review of literature. Quest, 67(1), 56-72. doi:10.1080/00336297.2014.98473.

Chamorro-Koc, M., Peake, J., Meek, A., & Manimont, G. (2021). Self-efficacy and trust in consumers’ use of health-technologies devices for sports. Heliyon, 7(8), e07794. https://doi.org/10.1016/j.heliyon.2021.e07794

Clayton, K., Blumberg, F., & Auld, D. P. (2010). The relationship between motivation, learning strategies and choice of environment whether traditional or including an online component. British Journal of Educational Technology, 41(3), 349-364. doi:10.1111/j.1467-8535.2009.00993.x.

Dhawan, S. (2020). Online learning: a panacea in the time of covid-19 crisis. Journal of Educational Technology Systems, 49(1), 5-22. https://doi.org/10.1177/0047239520934018.

Eom, S. B., Wen, H. J., & Ashill, N. (2006). The determinants of students’ perceived learning outcomes and satisfaction in university online education: an empirical investigation. Decision Sciences Journal of Innovative Education, 4(2), 215-235. doi:10.1111/j.1540-4609.2006.00114.x.

Favale, T., Soro, F., Trevisan, M., Drago, I., & Mellia, M. (2020). Campus traffic and e-Learning during COVID-19 pandemic. Computer Networks, 176, 107290. doi:10.1016/j.comnet.2020.107290.

Fiske, S. T., Cuddy, A. J. C., & Glick, P. (2007). Universal dimensions of social cognition: Warmth and competence. Trends in Cognitive Sciences, 11(2), 77-83. doi:10.1016/j.tics.2006.11.005.

Goh, E., & Kim, H. J. (2021). Emotional intelligence as a predictor of academic performance in hospitality higher education. Journal of Hospitality and Tourism Education, 1(1), 1-7. https://doi.org/10.1080/10963758.2020.1791140.

Jaradat, S. A., & Ajlouni, A. O. (2020). Social presence and self-efficacy in relation to student satisfaction in online learning setting: A predictive study. International Journal of Education and Practice, 8(4), 759-773. https://doi.org/10.18488/journal.61.2020.84.759.773.

Khattar, A., Jain, P. R., & Quadri, S. M. K. (2020). Effects of the disastrous pandemic covid 19 on learning styles, activities and mental health of young indian students-a machine learning approach. Proceeding of the 4th International Conference on Intelligent Computing and Control Systems (ICICCS), 2020, 1190-1195. https://doi.org/10.1109/ICICCS48265.2020.9120955.

Kibele, A. (2011). An elearning module for the biomechanical analysis of motor performance in sports – a learning tool for academic teaching. International Journal of Computer Science in Sport, 10(1), 1-7.

Knudson, D. (2010). What have we learned from teaching conferences and research on learning in biomechanics?. Proceedings of the 28th Conference of the International Society of Biomechanics in Sports.

Leedahl, S. N., Brasher, M. S., LoBuono, D. L., Wood, B. M., & Estus, E. L. (2020). Reducing ageism: changes in students’ attitudes after participation in an intergenerational reverse mentoring program. Sustainability, 12(17), 6870. doi:10.3390/su12176870

Nordquist, J., Hall, J., Caverzagie, K., Snell, L., Chan, M.-K., Thoma, B., Philibert, I. (2019). The clinical learning environment. Medical Teacher, 41(4), 366-372. doi:10.1080/0142159x.2019.156660.

Rafique, G. M., Mahmood, K., Warraich, N. F., & Rehman, S. U. (2021). Readiness for Online Learning during COVID-19 pandemic: A survey of Pakistani LIS students. The Journal of Academic Librarianship, 47(3), 102346. doi:10.1016/j.acalib.2021.102346

Rahayu, R. P., & Wirza, Y. (2020). Teachers’ perception of online learning during pandemic covid-19. Jurnal Penelitian Pendidikan, 20(3). https://doi.org/10.17509/jpp.v20i3.29226

Rasmitadila, R., Aliyyah, R. R., Rachmadtullah, R., Samsudin, A., Syaodih, E., Nurtanto, M., & Tambunan, A. R. S. (2020). The perceptions of primary school teachers of online learning during the covid-19 pandemic period: a case study in indonesia. Journal of Ethnic and Cultural Studies, 7(2), 90–109. https://doi.org/10.29333/ejecs/388

Salam, A. A., Younis, A. H. B., & Saqib, N. A. (2020). Teaching and learning during covid-19. IET Conference Publications. https://doi.org/10.1049/icp.2021.0951

Simegn, W., Dagnew, B., Yeshaw, Y., Yitayih, S., Woldegerima, B., & Dagne, H. (2021). Depression, anxiety, stress and their associated factors among Ethiopian University students during an early stage of COVID-19 pandemic: An online-based cross-sectional survey. In PLoS ONE. https://doi.org/10.1371/journal.pone.0251670

Thandevaraj, E. J., Gani, N. A. N., & Nasir, M. K. M. (2021). A review of psychological impact on students online learning during covid-19 in Malaysia. Creative Education. 12(6), 1296-1306. https://doi.org/10.4236/ce.2021.126097.

Tsai, C.-L., Cho, M.-H., Marra, R., & Shen, D. (2020). The self-efficacy questionnaire for online learning (SeQoL). Distance Education, 1-18. doi:10.1080/01587919.2020.1821604.

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. doi:10.1177/0013164492052004025.

Wallace, B., & Knudson, D. (2020). The effect of course format on student learning in introductory biomechanics courses that utilise low-tech active learning exercises. Sports Biomechanics. 1-10. https://doi.org/10.1080/14763141.2020.1830163.

Wang, W., & Zhan, J. (2020). The relationship between english language learner characteristics and online self-regulation: a structural equation modeling approach. Sustainability, 12(7), 3009. doi:10.3390/su12073009.

Yu, J., Sit, C. H. P., Capio, C. M., Burnett, A., Ha, A. S. C., & Huang, W. Y. J. (2015). Fundamental movement skills proficiency in children with developmental coordination disorder: does physical self-concept matter?. Disability and Rehabilitation, 38(1), 45-51. doi:10.3109/09638288.2015.1014067.

Zapata-Cuervo, N., Montes-Guerra, M. I., Shin, H. H., Jeong, M., & Cho, M.-H. (2021). Students’ psychological perceptions toward online learning engagement and outcomes during the covid-19 pandemic: a comparative analysis of students in three different countries. Journal of Hospitality & Tourism Education, 1-15. doi:10.1080/10963758.2021.190719.

DOI: https://doi.org/10.21831/jk.v6i2.49445