A Predıctıve Model of Learnıng Independence: Integratıon of Socıal Platform and Self-Regulatıon in College Students
PDF

Keywords

learning independence
social platform
self-regulation
predictive model

How to Cite

Andrini, V. S., Erdyna Dwi Etika, & Umi Hidayati. (2024). A Predıctıve Model of Learnıng Independence: Integratıon of Socıal Platform and Self-Regulatıon in College Students. Proceeding International Conference on Digital Education and Social Science, 2(1), 125–133. Retrieved from https://prosiding.appipgri.id/index.php/icdess/article/view/58

Abstract

In modern research in education, learning independence plays a very important role, especially in the digital era where flexibility implies alignment of endurance. Although most universities in Indonesia use online learning, the consequences of this in the form of academic independence are still unknown. This study intended to model learning independence built with online learning and self-regulation in University of PGRI Mpu Sindok students. The study was conducted among 120 students divided into high and low groups using a quasi-experimental design with group randomization. The multiple linear regression analysis result was the model Y = 0.4923 + 0.6745X1 + 0.2289X2, where Y signifies learning independence, X1 signifies the Intuitiveness of using social learning platforms, and X2 signifies self-regulation. Overall, the model provided significant results p < 0.0001 and explained 50.27% of students' learning independence variation. There is an absence in the impact of using X2 self-regulation simultaneously as using X1 self-regulation. This empiricism concentrates on creating experimental strategies that use self-regulation with technological and educational tools in order to increase students' academic independence-validated in line with the digital era.

PDF

References

Badshah, A., Jalal, A., Rehman, G. U., Zubair, M., & Umar, M. M. (2021). Academic use of social networking sites in learners’ engagement in underdeveloped countries’ schools. Education and Information Technologies, 26(5), 6319–6336. https://doi.org/10.1007/s10639-021-10619-8

Banerjee, S., Shaw, D., & Sparke, M. (2023). Collaborative online international learning, social innovation and global health: cosmopolitical COVID lessons as global citizenship education. Globalisation, Societies and Education, 1–14. https://doi.org/10.1080/14767724.2023.2209585

Bjelobaba, G., Savić, A., Tošić, T., Stefanović, I., & Kocić, B. (2023). Collaborative Learning Supported by Blockchain Technology as a Model for Improving the Educational Process. Sustainability (Switzerland) , 15(6), 1–23. https://doi.org/10.3390/su15064780

Chen, T. (2022). An Investigation and Analysis of College English Majors’ Autonomous Learning Ability in Ubiquitous Learning Environment. Journal of Environmental and Public Health, 2022. https://doi.org/10.1155/2022/9103148

Chou, C. Y., & Zou, N. B. (2020). An analysis of internal and external feedback in self-regulated learning activities mediated by self-regulated learning tools and open learner models. International Journal of Educational Technology in Higher Education, 17(1). https://doi.org/10.1186/s41239-020-00233-y

Dadaczynski, K., Okan, O., Messer, M., Leung, A. Y. M., Rosário, R., Darlington, E., & Rathmann, K. (2021). Digital Health Literacy and Web-Based Information-Seeking Behaviors of University Students in Germany during the COVID-19 Pandemic: Cross-sectional Survey Study. Journal of Medical Internet Research, 23(1), 1–17. https://doi.org/10.2196/24097

Doz, E., Cuder, A., Caputi, M., Pellizzoni, S., & Passolunghi, M. C. (2023). Distance learning environment: perspective of Italian primary and secondary teachers during COVID-19 pandemic. Learning Environments Research, 26(2), 555–571. https://doi.org/10.1007/s10984-022-09451-9

Huang, C., Tu, Y., He, T., Han, Z., & Wu, X. (2024). Longitudinal exploration of online learning burnout: the role of social support and cognitive engagement. European Journal of Psychology of Education, 39(1), 361–388. https://doi.org/10.1007/s10212-023-00693-6

Inan, D. I., Hidayanto, A. N., Juita, R., Hasian, C. Y., Luvian, K., Leonardo, Ian, S. L., & Pratama, S. (2024). How personal, technical, social environments affecting generation Z to utilise video-based sharing platform in learning process during crisis? Research and Practice in Technology Enhanced Learning, 19. https://doi.org/10.58459/rptel.2024.19003

Konstantinidis, E., Harman, J. L., & Gonzalez, C. (2022). Patterns of choice adaptation in dynamic risky environments. Memory and Cognition, 50(4), 864–881. https://doi.org/10.3758/s13421-021-01244-4

Li, C., Ye, X., Yu, C., & Wu, H. (2023). The effect of an information intervention on the career commitment of medical students: evidence from a randomized experiment. Frontiers in Medicine, 10(May), 1–8. https://doi.org/10.3389/fmed.2023.1101993

Lozano-Blasco, R., Quílez-Robres, A., Usán, P., Salavera, C., & Casanovas-López, R. (2022). Types of Intelligence and Academic Performance: A Systematic Review and Meta-Analysis. Journal of Intelligence, 10(4). https://doi.org/10.3390/jintelligence10040123

Mejeh, M., & Held, T. (2022). Understanding the Development of Self-Regulated Learning: An Intervention Study to Promote Self-Regulated Learning in Vocational Schools. In Vocations and Learning (Vol. 15, Issue 3). Springer Netherlands. https://doi.org/10.1007/s12186-022-09298-4

Nematollahi, S., Minter, D. J., Barlow, B., Nolan, N. S., Spicer, J. O., Wooten, D., Cortes-Penfield, N., Barlow, A., Chavez, M. A., McCarty, T., Abdoler, E., & Escota, G. V. (2022). The Digital Classroom: How to Leverage Social Media for Infectious Diseases Education. Clinical Infectious Diseases, 74(Suppl 3), S237–S243. https://doi.org/10.1093/cid/ciac048

Prodgers, L., Travis, E., & Pownall, M. (2023). “It’s hard to feel a part of something when you’ve never met people”: defining “learning community” in an online era. Higher Education, 85(6), 1219–1234. https://doi.org/10.1007/s10734-022-00886-w

Queralt, J. (2023). The goods (and bads) of self-employment. Journal of Political Philosophy, 31(3), 271–293. https://doi.org/10.1111/jopp.12287

Romero-Pérez, C., & Sánchez-Lissen, E. (2022). Scientific Narratives in the Study of Student Time Management: A Critical Review. International and Multidisciplinary Journal of Social Sciences, 11(2), 60–86. https://doi.org/10.17583/rimcis.10322

Trajectories, D., Behavior, P., Achievement, A., Bardach, L., Yanagida, T., Goetz, T., Jach, H., Pekrun, R., & Kingdom, U. (2024). Self- and Externally Regulated Learning in Adolescence Self- and Externally Regulated Learning in Adolescence. 59(7), 1327–1345.

Weinstein, A. M. (2022). Site use-e ects on mental health and the brain.

Creative Commons License

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Copyright (c) 2024 Asosiasi Pengelola Publikasi Ilmiah Perguruan Tinggi PGRI

Downloads

Download data is not yet available.