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REID (Research and Evaluation in Education)

Keywords

factors, online learning, learning achievement, PLS-SEM

Document Type

Article

Abstract

Online learning is an alternative to learning during a pandemic. This learning is done by utilizing technology and information. Constraints in online learning are taken into consideration so that the expected competencies are achieved. These constraints are also referred to as factors. This study aims to determine the factors contributing to learning achievement during online learning during the pandemic. This research was conducted at SMAN 1 Kalibawang and SMA N 2 Ngaglik, with 90 respondents as the subject of the research trial taken randomly. The instrument used is a questionnaire and the results of math test scores. This research uses the Partial Least Squares-Structural Equation Model (PLS-SEM). The purpose of PLS-SEM is to confirm how well the variables that have been measured can represent the formed factors. The steps taken in conducting analysis using PLS-SEM include: (1) designing an analytical model by making path diagrams; (2) identifying the model; (3) estimating parameters; (4) drawing conclusions. Parameter estimation is divided into two parts: the outer model (measurement model) and the inner model (structural model). The results showed that learning media when online learning had a significant effect on learning achievement. The effect given is 83.3% which has a high effect.

Page Range

46-54

Issue

1

Volume

8

Digital Object Identifier (DOI)

10.21831/reid.v8i1.44454

Source

https://journal.uny.ac.id/index.php/reid/article/view/44454

References

Alarcon, D., & Sánchez, J. A. (2015). Convergent validity with average variance extracted. https://www.academia.edu/30352304/Convergent_validity_with_average_variance_extracted.

Chaker, R., Bouchet, F., & Bachelet, R. (2022). How do online learning intentions lead to learning outcomes? The mediating effect of the autotelic dimension of flow in a MOOC. Computers in Human Behavior, 134, 107306. https://doi.org/10.1016/J.CHB.2022.107306.

Chaturvedi, K., Vishwakarma, D. K., & Singh, N. (2021). COVID-19 and its impact on education, social life and mental health of students: A survey. Children and Youth Services Review, 121, 105866. https://doi.org/10.1016/j.childyouth.2020.105866.

Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2017). A primer on partial least squares structural equation modeling (PLS-SEM) (2nd ed.). SAGE Publication.

Helena, J., & Jose, G. (2013). Jacques Ellul and the technological society in the 21st century. Philosophy Today, 15(2), 102-121. https://doi.org/10.5840/philtoday197115218.

Kornpitack, P., & Sawmong, S. (2022). Empirical analysis of factors influencing student satisfaction with online learning systems during the COVID-19 pandemic in Thailand. Heliyon, 8(3), e09183. https://doi.org/10.1016/J.HELIYON.2022.E09183.

Li, J., & Che, W. (2022). Challenges and coping strategies of online learning for college students in the context of COVID-19: A survey of Chinese universities. Sustainable Cities and Society, 83, 103958. https://doi.org/10.1016/J.SCS.2022.103958.

Liu, I. F., Chen, M. C., Sun, Y. S., Wible, D., & Kuo, C. H. (2010). Extending the TAM model to explore the factors that affect intention to use an online learning community. Computers and Education, 54(2), 600-610. https://doi.org/10.1016/J.COMPEDU.2009.09.009.

Mailizar, M., Almanthari, A., Maulina, S., & Bruce, S. (2020). Secondary school mathematics teachers' views on e-learning implementation barriers during the COVID-19 pandemic: The case of Indonesia. Eurasia Journal of Mathematics, Science and Technology Education, 16(7). https://doi.org/10.29333/EJMSTE/8240.

Matnuh, H., & Triani, D. (2014). Hubungan penggunaan media pembelajaran dengan hasil belajar PKn pada siswa kelas X dan XI di SMA Muhammadiyah 1 Banjarmasin. Jurnal Pendidikan Kewarganegaraan, 4(7), 530-536. https://ppjp.ulm.ac.id/journal/index.php/pkn/article/view/437.

Nokels, L., Fahmy, T., & Crochemore, S. (2010). Handbook of partial least squares: Concepts, mthods and applications. Springer. https://doi.org/10.1007/978-3-540-32827-8_34.

Picciano, A. G. (2002). Beyond student perceptions: Issues of interaction, presence, and performance in an online course. Online Learning, 6(1), 21-40. http://dx.doi.org/10.24059/olj.v6i1.1870.

Pokhrel, S., & Chhetri, R. (2021). A literature review on impact of COVID-19 pandemic on teaching and learning. Higher Education for the Future, 8(1), 133-141. https://doi.org/10.1177/2347631120983481.

Retnawati, H. (2016). Analisis kuantitatif instrumen penelitian (1st ed.). Parama Publishing.

Robinson, M. A. (2018). Using multi-item psychometric scales for research and practice in human resource management. Human Resource Management, 57(3), 739-750. https://doi.org/10.1002/hrm.21852.

Tallent-Runnels, M. K., Thomas, J. A., Lan, W. Y., Cooper, S., Ahern, T. C., Shaw, S. M., & Liu, X. (2006). Teaching courses online: A review of the research. Review of Educational Research, 76(1), 93-135. https://doi.org/10.3102/00346543076001093.

Thorndike, E. H. R. (1961). Measurement and evaluation in psychology and education. Pearson.

Wang, Y., Cao, Y., Gong, S., Wang, Z., Li, N., & Ai, L. (2022). Interaction and learning engagement in online learning: The mediating roles of online learning self-efficacy and academic emotions. Learning and Individual Differences, 94, 102128. https://doi.org/10.1016/J.LINDIF.2022.102128.

Wardani, A., & Ayriza, Y. (2020). Analisis kendala orang tua dalam mendampingi anak belajar di rumah pada masa pandemi Covid-19. Jurnal Obsesi: Jurnal Pendidikan Anak Usia Dini, 5(1), 772-782. https://doi.org/10.31004/obsesi.v5i1.705.

Watkins, M. W. (2018). Exploratory factor analysis: A guide to best practice. Journal of Black Psychology, 44(3), 219-246. https://doi.org/10.1177/0095798418771807.

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