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References
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References
Abdelrahman, R. M. (2020). Metacognitive awareness and academic motivation and their impact on academic achievement of Ajman University students. Heliyon, 6(9), e04192. https://doi.org/10.1016/j.heliyon.2020.e04192
Ahmed, I., Modu, G. U., Yusuf, A., Kumam, P., & Yusuf, I. (2021). A mathematical model of Coronavirus Disease (COVID-19) containing asymptomatic and symptomatic classes. Results in Physics, 21, 103776. https://doi.org/10.1016/j.rinp.2020.103776
Aiello, S., Crescimanno, G., Di Giovanni, G., & Casarrubea, M. (2020). T-patterns in the study of movement and behavioral disorders. Physiology and Behavior, 215(November 2019), 112790. https://doi.org/10.1016/j.physbeh.2019.112790
Al-Osaimi, D. N., & Fawaz, M. (2022). Nursing students’ perceptions on motivation strategies to enhance academic achievement through blended learning: A qualitative study. Heliyon, 8(7), e09818. https://doi.org/10.1016/j.heliyon.2022.e09818
Alban Conto, C., Akseer, S., Dreesen, T., Kamei, A., Mizunoya, S., & Rigole, A. (2021). Potential effects of COVID-19 school closures on foundational skills and Country responses for mitigating learning loss. International Journal of Educational Development, 87, 102434. https://doi.org/10.1016/j.ijedudev.2021.102434
AlQaheri, H., & Panda, M. (2022). An Education Process Mining Framework: Unveiling Meaningful Information for Understanding Students’ Learning Behavior and Improving Teaching Quality. Information, 13(1), 29. https://doi.org/10.3390/info13010029
Atangana, A., & Araz, S. İ. (2021). Application to non-linear ordinary differential equations. In New Numerical Scheme with Newton Polynomial (pp. 301–313). Elsevier. https://doi.org/10.1016/B978-0-32-385448-1.00022-6
Bandura, A. (1977). Social Learning Theory (Vol. 148). NJ: Prentice-Hall.
Canivez, G. L., & Beran, T. N. (2011). Learning behaviors scale and Canadian youths: Factorial validity generalization and comparisons to the U.S. standardization sample. Canadian Journal of School Psychology, 26(3), 193–208. https://doi.org/10.1177/0829573511416440
Chandler, L., & Potter, A. (2012). Failure as opportunity-reflection and retention: Approaches to supporting first year university students experiencing early assessment failure. International Journal of Learning, 18(7), 73–88. https://doi.org/10.18848/1447-9494/cgp/v18i07/47680
Changthong, J., Manmart, L., & Vongprasert, C. (2014). Learning styles: Factors affecting information behavior of Thai youth. Libres, 24(1), 50–61. https://doi.org/10.32655/libres.2014.1.5
Chen, M., & Hastedt, D. (2022). The paradoxical relationship between students’ non-cognitive factors and mathematics & science achievement using TIMSS 2015 dataset. Studies in Educational Evaluation, 73. https://doi.org/10.1016/j.stueduc.2022.101145
Chen, Q., Chen, Y., & Zhao, Q. (2020). Impacts of boarding on primary school students’ mental health outcomes – Instrumental-Variable evidence from rural northwestern China. Economics & Human Biology, 39, 100920. https://doi.org/10.1016/j.ehb.2020.100920
Cheng, C. (2020). Duration matters: peer effects on academic achievement with random assignment in the Chinese context. Journal of Chinese Sociology, 7(1). https://doi.org/10.1186/s40711-020-0114-0
Costa, A. P., & Steffgen, G. (2020). After the move to a new campus—effects on students’ satisfaction with the physical and learning environment. Education Sciences, 10(12), 1–13. https://doi.org/10.3390/educsci10120370
Crone, E. A., & Achterberg, M. (2022a). Prosocial development in adolescence. Current Opinion in Psychology, 44, 220–225. https://doi.org/10.1016/j.copsyc.2021.09.020
Crone, E. A., & Achterberg, M. (2022b). Prosocial development in adolescence. Current Opinion in Psychology, 44, 220–225. https://doi.org/10.1016/j.copsyc.2021.09.020
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