Is Self-Regulation Able to Mediate the Effect of Self-Effort on E-Learner Success in the Islamic State University?

Dwi Sulistiani, Saiful Amin, Abdul Bashith

Abstract


This study aim to seek the relationship between self-effort and e-learner success, either directly or through self-regulation. This type of research is quantitative. The research method used is an exploratory survey. Primary data were obtained from questionnaires filled out by 923 Social Science Education students at all State Islamic Universities in Indonesia. 11 State Islamic Universities with a Social Science Education program participated in this research. The direct test uses Ordinary Least Square (OLS), while the indirect effect is tested using the Sobel test. The results of this study can prove that self-effort has a direct and indirect positive influence on e-learner success through self-regulation. Students with high self-effort will be able to improve their self-regulation, impacting their e-learning success. This evidence shows that e-learning requires students' independence to succeed academically. This research provides a theoretical contribution to the development of e-learning theory. Students in online learning success need self-effort and self-regulation because, in online learning, students are required to be more active than in direct learning in class. The author recommends further research to expand other variables that affect the success of e-learning with different models and theories, such as expectation confirmatory theory, technology acceptance model, intention to continue using LMS, course and information quality.

Keywords


E-learner success; Self-effort; Self-regulation

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References


Al-Adwan, A. S., Albelbisi, N. A., Hujran, O., Al-Rahmi, W. M., & Alkhalifah, A. (2021). Developing a holistic success model for sustainable e-learning: A structural equation modeling approach. Sustainability (Switzerland), 13(16), 1–25. https://doi.org/10.3390/su13169453

Al-Azawei, A. (2019). What drives successful social media in education and e- learning ? A comparative study on facebook and modle. Journal of Information Technology Education, 18, 253–274. https://doi.org/https://doi.org/10.28945/4360

Albelbisi, N. A., Al-Adwan, A. S., & Habibi, A. (2021). Self-regulated learning and satisfaction: A key determinants of MOOC success. Education and Information Technologies, 26(3), 3459–3481. https://doi.org/10.1007/s10639-020-10404-z

Andrade, M. S. (2014). Dialogue and structure: Enabling learner self-regulation in technology-enhanced learning environments. European Educational Research Journal, 13(5), 563–574. https://doi.org/10.2304/eerj.2014.13.5.563

Andrade, M. S. (2016). Curricular elements for learner success-21st century skills. Journal of Education and Training Studies, 4(8), 143–149. https://doi.org/10.11114/jets.v4i8.1743

Andrade, M. S., Miller, R. M., Kunz, M. B., & Ratliff, J. M. (2019). Online learning in schools of business: The impact of quality assurance measures. Journal of Education for Business, 95(1), 37–44. https://doi.org/10.1080/08832323.2019.1596871

Azman, M. N. A., Kamis, A., Kob, C. G. C., Abdullah, A. S., Jerusalem, M. A., Komariah, K., & Budiastuti, E. (2020). How good is myguru: The lecturers’ perceived usefulness and attitude. Cakrawala Pendidikan, 39(2), 422–431. https://doi.org/10.21831/cp.v39i2.30790

Bingab, B. B. B., Forson, J. A., Abotsi, A. K., & Baah-Ennumh, T. Y. (2018). Strengthening university governance in sub-sahara Africa: The ghanaian perspective. International Journal of Educational Management, 32(4), 606–624. https://doi.org/10.1108/IJEM-02-2016-0039

Cervin-Ellqvist, M., Larsson, D., Adawi, T., Stöhr, C., & Negretti, R. (2021). Metacognitive illusion or self-regulated learning? Assessing engineering students’ learning strategies against the backdrop of recent advances in cognitive science. Higher Education, 82(3), 477–498. https://doi.org/10.1007/s10734-020-00635-x

Cheng, S. L., & Xie, K. (2021). Why college students procrastinate in online courses: A self-regulated learning perspective. Internet and Higher Education, 50, 100807. https://doi.org/10.1016/j.iheduc.2021.100807

Choi, B. (2016). How people learn in an asynchronous online learning environment: The relationships between graduate students’ learning strategies and learning satisfaction. Canadian Journal of Learning and Technology / La Revue Canadienne de l’apprentissage et de La Technologie, 42(1), 1–15. https://doi.org/10.21432/t24k7r

Costello, J. T., & McNaughton, R. B. (2018). Integrating a dynamic capabilities framework into workplace e-learning process evaluations. Knowledge and Process Management, 25(2), 108–125. https://doi.org/10.1002/kpm.1565

Davis, D., Chen, G., Jivet, I., Hauff, C., & Houben, G. J. (2016). Encouraging metacognition and self-regulation in MOOCs through increased learner feedback. CEUR Workshop Proceedings, 1596, 17–22.

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. (2012). Effects of LMS, self-efficacy, and self-regulated learning on LMS effectiveness in business education. Journal of International Education in Business, 5(2), 129–144. https://doi.org/10.1108/18363261211281744

Gujarati, D. N., & Porter, D. C. (2009). Basic econometrics. In The McGraw-Hill (5th ed.).

Hair, J. F., Sarstedt, M., Ringle, C. M., & Mena, J. A. (2012). An assessment of the use of partial least squares structural equation modeling in marketing research. Journal of the Academy of Marketing Science, 40(3), 414–433. https://doi.org/10.1007/s11747-011-0261-6

Hanafi, Y., Murtadho, N., Hassan, A. R., Saefi, M., Ikhsan, M. A., & Dinaya, T. N. (2021). Self-regulation in Qur’an learning. Malysian Journal of Learning and Instruction, 2(2), 103–128.

Hertel, S., & Karlen, Y. (2021). Implicit theories of self-regulated learning: Interplay with students’ achievement goals, learning strategies, and metacognition. British Journal of Educational Psychology, 91(3), 972–996. https://doi.org/10.1111/bjep.12402

Hussein, M. H., Ow, S. H., Ibrahim, I., & Mahmoud, M. A. (2021). Measuring instructors continued intention to reuse google classroom in Iraq: A mixed-method study during COVID-19. Interactive Technology and Smart Education, 18(3), 380–402. https://doi.org/10.1108/ITSE-06-2020-0095

Iatrellis, O., Savvas, I. K., Kameas, A., & Fitsilis, P. (2020). Integrated learning pathways in higher education: A framework enhanced with machine learning and semantics. Education and Information Technologies, 25(4), 3109–3129. https://doi.org/10.1007/s10639-020-10105-7

Idris, S., ZA, T., & Sulaiman, F. (2018). Critical education paradigm in the perspective of Islamic education. Advanced Science Letters, 24(11), 8226–8230. https://doi.org/10.1166/asl.2018.12529

Karam, M., Fares, H., & Al-Majeed, S. (2021). Quality assurance framework for the design and delivery of virtual, real-time courses. Information (Switzerland), 12(2), 1–19. https://doi.org/10.3390/info12020093

Kemdikbud. (2020). Surat edaran sekretaris jendral no. 15 tahun 2020. In Kementerian Pendidikan dan Kebudayaan.

Khalil, R., Mansour, A. E., Fadda, W. A., Almisnid, K., Aldamegh, M., Al-Nafeesah, A., Alkhalifah, A., & Al-Wutayd, O. (2020). The sudden transition to synchronized online learning during the COVID-19 pandemic in Saudi Arabia: A qualitative study exploring medical students’ perspectives. BMC Medical Education, 20(1), 1–10. https://doi.org/10.1186/s12909-020-02208-z

Koivuniemi, M., Järvenoja, H., Järvelä, S., & Thomas, V. (2021). An overview of instruments for assessing and supporting elementary school students’ self-regulated learning. Learning: Research and Practice, 7(2), 109–146. https://doi.org/10.1080/23735082.2020.1859123

Kwiek, M. (2015). The unfading power of collegiality? University covernance in Poland in a European comparative and quantitative perspective. International Journal of Educational Development, 43, 77–89. https://doi.org/10.1016/j.ijedudev.2015.05.002

Lin, W. S., & Wang, C. H. (2012). Antecedences to continued intentions of adopting e-learning system in blended learning instruction: A contingency framework based on models of information system success and task-technology fit. Computers and Education, 58(1), 88–99. https://doi.org/10.1016/j.compedu.2011.07.008

Maimuna, L. (2021). Analisis pengaruh motivasi belajar ekstrinsik dalam pembelajaran daring terhadap mutu hasil belajar di Amik Bina Sriwijaya Palembang. Jurnal Penjaminan Mutu, 7(1), 62–70.

Mandernach, B. J., Donnelli, E., & Dailey-hebert, A. (2006). Learner attribute research juxtaposed with online instructor experience: Predictors of success in the accelerated , online classroom. Journal of Educators Online, 3(2), 1–17.

Mishra, L., Gupta, T., & Shree, A. (2020). Online teaching-learning in higher education during lockdown period of COVID-19 pandemic. International Journal of Educational Research Open, In press, 100012. https://doi.org/10.1016/j.ijedro.2020.100012

Mtebe, J. S. (2015). Learning management system success: Increasing learning management system usage in higher education in Sub-Saharan Africa. International Journal of Education and Development Using Information and Communication Technology, 11(2), 51–64.

Müller, N. M., & Seufert, T. (2018). Effects of self-regulation prompts in hypermedia learning on learning performance and self-efficacy. Learning and Instruction, 58, 1–11. https://doi.org/10.1016/j.learninstruc.2018.04.011

Muslimin, A. I., & Harintama, F. (2020). Online learning during pandemic: Students’ motivation, challenges, and alternatives. Loquen: English Studies Journal, 13(2), 60–68. https://doi.org/10.32678/loquen.v13i2.3558

Nurhadi, N. (2017). Islamic education dalam perspektif ekonom dan filosof (Analisis paradigma pendidikan barat dan timur). Jurnal Pendidikan Agama Islam Al-Thariqah, 2(2), 172–188. https://doi.org/10.25299/althariqah.2017.vol2(2).1044

Panadero, E. (2017). A review of self-regulated learning: Six models and four directions for research. Frontiers in Psychology, 8, 1–28. https://doi.org/10.3389/fpsyg.2017.00422

Putra, P., Liriwati, F. Y., Tahrim, T., Syafrudin, S., & Aslan, A. (2020). The students learning from home experience during covid-19 school closures policy in Indonesia. Jurnal Iqra’ : Kajian Ilmu Pendidikan, 5(2), 30–42. https://doi.org/10.25217/ji.v5i2.1019

Radwan, N. (2014). Current trends and challenges of developing and evaluating learning management systems. International Journal of E-Education, e-Business, e-Management and e-Learning, 4(5), 361–375. https://doi.org/10.7763/ijeeee.2014.v4.351

Razaq, A. R., & Umiarso, U. (2019). Islamic education construction in the perspective of falsification of Karl R. Popper. Jurnal Pendidikan Islam, 5(2), 117–132. https://doi.org/10.15575/jpi.v5i2.5846

Rostaminezhad, M. A., Mozayani, N., Norozi, D., & Iziy, M. (2013). Factors related to e-learner dropout: Case study of IUST e-learning center. Procedia - Social and Behavioral Sciences, 83, 522–527. https://doi.org/10.1016/j.sbspro.2013.06.100

Safsouf, Y., Mansouri, K., & Poirier, F. (2020). An analysis to understand the online learners’ success in public higher education in Morocco. Journal of Information Technology Education: Research, 19, 087–112. https://doi.org/10.28945/4518

Safsouf, Y., Mansouri, K., & Poirier, F. (2019). Design of a new scale to measure the learner experience in e-learning systems. Proceedings of the International Conference on E-Learning 2019, 301–304. https://doi.org/10.33965/el2019_201909c042

Spoel, I. Van Der, Noroozi, O., Schuurink, E., & van Ginkel, S. (2020). Teachers’ online teaching expectations and experiences during the Covid19-pandemic in the Netherlands. European Journal of Teacher Education, 43(4), 623–638. https://doi.org/10.1080/02619768.2020.1821185

Suharini, E., Kurniawan, E., & Ichsan, I. Z. (2020). Disaster mitigation education in the COVID-19 pandemic: A case study in Indonesia. Sustainability (United States), 13(6), 292–298. https://doi.org/10.1089/sus.2020.0053

Syed, A. M., Ahmad, S., Alaraifi, A., & Rafi, W. (2021). Identification of operational risks impeding the implementation of e-learning in higher education system. Education and Information Technologies, 26(1), 655–671. https://doi.org/10.1007/s10639-020-10281-6

Veletsianos, G., Vanleeuwen, C. A., Belikov, O., & Johnson, N. (2021). An analysis of digital education in Canada in 2017-2019. International Review of Research in Open and Distributed Learning, 22(2), 102–117. https://doi.org/https://doi.org/10.19173/irrodl.v22i2.5108

Yakubu, M. N., & Dasuki, S. . (2018). Assessing eLearning systems success in Nigeria: An application of the DeLone and McLean information systems success model. Journal of Information Thecnology Education: Research, 17, 183–203. https://doi.org/https://doi.org/10.28945/4077

Zimmerman, B. J. (2013). From cognitive modeling to self-regulation: A social cognitive career path. Educational Psychologist, 48(3), 135–147. https://doi.org/10.1080/00461520.2013.794676




DOI: http://dx.doi.org/10.24042/tadris.v7i2.12098

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