Digital Learning During the Covid-19 Pandemic: The Challenges Faced by Parents of Junior High Students in Chiayi, Taiwan
Volume 8, Issue 1 Li-Chuan Chu, Yi-Te Lee
Published online:24 July 2023
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AbstractReferencesCite
Parents of students who switched to remote learning during the COVID-19 pandemic have had to face numerous challenges. This study examined the challenges associated with new learning environments and investigated the effects of distraction behavior, learning attitude, and self-directed learning on academic achievement. This study collected information from junior high school students by using a questionnaire and conducted statistical analysis on the data collected by using partial least squares. The data came from a random sample of 131 parents of junior high school students in the Chaiyi Taiwan. Analysis revealed that learning difficulties have a positive effect on academic achievement, indicating that in a digital learning environment, the presence of learning difficulties may motivate learners to more actively tackle challenges. Necessitating a balance in the level of supervision. Technical learning was found to have a positive effect on academic achievement, highlighting the promotive role of technology application on academic achievement. The switch to remote learning during the COVID-19 pandemic posed multiple challenges to parents. Balanced strategies for coping with these challenges must be developed to address problems associated with students’ distraction behavior, learning attitude, academic achievement, and self-directed learning. Addressing these challenges will enable parents to guide their children’s learning more effectively, enhancing students’ digital learning skills and academic achievement.
Anderson, R. C., & Pearson, P. D. (1984). A schema-theoretic view of basic processes in reading comprehension. Handbook of reading research, 1, 255-291.
Biggs, J. B. (1987). Student approaches to learning and studying. research monograph. ERIC.
Bloom, B. S. (1956). Taxonomy of education objectives book 1-cognitive domain. David McKay Company.
Cohen, J., Cohen, P., West, S. G., & Aiken, L. S. (2013). Applied multiple regression/correlation analysis for the behavioral sciences. Routledge.
Cronbach, L. J. (1951). Coefficient alpha and the internal structure of tests. psychometrika, 16(3), 297-334.
Deci, E. L., & Ryan, R. M. (2013). Intrinsic motivation and self-determination in human behavior. Springer Science & Business Media.
Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of marketing research, 18(1), 39-50.
Guglielmino, L. M. (1977). Development of the self-directed learning readiness scale. University of Georgia.
Levin, J. S. (1998). Religious research in gerontology, 1980–1994: A systematic review. Journal of Religious Gerontology, 10(3), 3-31.
Mayer, R. E., & Alexander, P. A. (2011). Handbook of research on learning and instruction. Routledge New York.
Pavlou, P. A., & Fygenson, M. (2006). Understanding and predicting electronic commerce adoption: An extension of the theory of planned behavior. MIS quarterly, 115-143.
Pirouz, D. M. (2006). An overview of partial least squares. Available at SSRN 1631359.
Posner, M. I., & Rothbart, M. K. (1994). Constructing neuronal theories of mind. Large-scale neuronal theories of the brain, 183-199.
Schwartz-Shea, P., & Yanow, D. (2009). Reading and writing as method: In search of trustworthy texts. Organizational ethnography: Studying the complexities of everyday life, 56-82.
Shehu, A. M., & Mahmood, R. (2014). Market orientation, knowledge management and entrepreneurial orientation as predictors of sme performance: Data screening and preliminary analysis. In Information and knowledge management (Vol. 4, p. 12-23).
Smallwood, J., & Schooler, J. W. (2013). The restless mind.
Turkle, S. (2011). Alone together: Why we expect more from technology and less from each other. Basic Books.
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
Chu, L. C. & Lee, Y. T. (2023). Digital Learning During the Covid-19 Pandemic: The Challenges Faced by Parents of Junior High Students in Chiayi, Taiwan. International Journal of Business and Administrative Studies, 9(2), 20-28. https://dx.doi.org/10.20469/ijbas.9.10002-2