Factors Affecting Thai Students' Self-Directed Learning Efficacy

Main Article Content

Nattapat Preechakul
Pavaris Chailapo
Soralak Jittra
Thomrat Siriparp

Abstract

This study investigated the causal factors influencing Thai students’ self-directed learning efficacy during the COVID-19 pandemic, using the international database from PISA 2022. The objectives were: 1) to validate the self-directed learning efficacy model among Thai students, 2) to analyze the direct and indirect effects of factors influencing self-directed learning efficacy, and 3) to test the mediating effect of feelings about learning at home on self-directed learning efficacy. The sample consisted of 6,430 Thai students aged 15 years from 278 schools, using student questionnaire data from PISA 2022. The reliability of the instrument ranged from .80 to .92. Data were analyzed using path analysis, and mediating effects were tested through the Bootstrap method with 1,000 replications.
The results revealed that the proposed model demonstrated a good fit to the empirical data (equation(1, N = 6,430) = 0.002, p > .05, CFI = 1.000, TLI = 1.000, RMSEA = 0.000, SRMR = 0.000). School support and family support had direct effects on self-directed learning efficacy, with effect sizes of .269 and .096, respectively. In addition, both indirect effects were observed through students’ feelings toward learning at home, with effect sizes of .073 and .108, respectively. The bootstrap analysis confirmed that both indirect effects were statistically significant at the 95% confidence interval. These results highlight the crucial role of school and family support in fostering students’ self-directed learning efficacy and provide practical implications for educational policy and the development of creative learning practices both in schools and at home to enhance the overall quality of education.

Article Details

Section
Research Article

References

Amerstorfer, C. M., & Freiin von Münster-Kistner, C. (2021). Student perceptions of academic engagement and student-teacher relationships in problem-based learning. Frontiers in Psychology, 12, Article 713057.

Azhari, S. C., Rosali, E. S., Firmansyah, M. F., & Maulana, H. Z. (2022). Investigating family and peer support on learning habits and achievements in online learning. Journal Inovasi dan Teknologi Pembelajaran, 9(2), 136–144.

Bandura, A. (1977). Self-efficacy: toward a unifying theory of behavioral change. Psychological Review, 84(2), 191–215.

Bandura, A., & Walters, R. H. (1977). Social learning theory. Prentice Hall Englewood Cliffs.

Brookfield, S. D. (2009). Self-directed learning. In R. Maclean & D. Wilson (Eds.), International handbook of education for the changing world of work: Bridging academic and vocational learning (pp. 2615–2627). Springer.

Chamani, S., Razi, A., & Xodabande, I. (2023). Motivational and emotional states in self-directed language learning: A longitudinal study. Discover Education, 2(1), Article 23.

Cook, M. (2020). The Reality of Home-Based Learning: Roles of Parents, Teachers, and School Administration in Promoting Self-Directed Learning. Journal of School Administration Research and Development, 5(S2), 86–92.

Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2010). Multivariate data analysis (7th ed.). Pearson.

He, L., Feng, L., & Ding, J. (2024). The relationship between perceived teacher emotional support, online academic burnout, academic self-efficacy, and online English academic engagement of Chinese EFL learners. Sustainability, 16(13), Article 5542.

Houle, C. O. (1961). The inquiring mind. The University of Wisconsin Press.

Lie, A., Tamah, S. M., Gozali, I., Triwidayati, K. R., Utami, T. S. D., & Jemadi, F. (2020). Secondary school language teachers’ online learning engagement during the COVID-19 pandemic in Indonesia. Journal of Information Technology Education: Research, 19, 803–832.

Lönnfjord, V., & Hagquist, C. (2021). The association of self-reported schoolwork pressure, family factors and self-efficacy with psychosomatic problems. European Journal of Social Work, 24(4), 603–616.

Muthén, L. K., & Muthén, B. O. (2017). Mplus user’s guide (8th ed.). Muthén & Muthén.

Nadya, Z., & Pustika, R. (2021). The importance of family motivation for students to study online during the COVID-19 pandemic. Journal of English Language Teaching and Learning, 2(2), 86–89.

Organisation for Economic Co-operation and Development (OECD). (2023). PISA 2022 results (Volume I): The state of learning and equity in education. OECD Publishing.

Ren, X., Jing, B., Li, H., & Wu, C. (2022). The impact of perceived teacher support on Chinese junior high school students’ academic self-efficacy: The mediating roles of achievement goals and academic emotions. Frontiers in Psychology, 13, Article 1028722.

Schunk, D. H., & DiBenedetto, M. K. (2016). Self-efficacy theory in education. In K. R. Wentzel & D. B. Miele (Eds.), Handbook of motivation at school (2nd ed., pp. 34–54). Routledge.

Tarkar, P. (2020). Impact of COVID-19 pandemic on education system. International Journal of Advanced Science and Technology, 29(9), 3812–3814.

Chayanopparat, P., & Charungkaittikul, S. (2020). Development of a training model based on self-directed learning and outcome-based learning concepts to enhance essential competencies for vocational certificate teachers under the Office of the Non-formal and Informal Education. Journal of Education Studies, 48(3), 197–206. (in Thai)

Office for National Education Standards and Quality Assessment. (2024). External quality assurance framework manual B.E. 2567–2571 (2024–2028): For basic education institutions and external assessors. Office for National Education Standards and Quality Assessment. (in Thai)

Office of the Education Council. (2022). A study of learning loss among basic education students in the COVID-19 situation: Conditions, lessons, and approaches for improving learning quality. Office of the Education Council. (in Thai)