Manajemen Interaksi Pembelajaran Pendidikan Tinggi Jarak Jauh untuk Menguatkan Pembelajaran Mendalam: Studi Literatur
Keywords:
learning interaction, distance higher education, deep learning; Society 5.0Abstract
This literature review synthesizes findings from more than thirty-five reputable international studies to examine how learning interaction management in Distance Higher Education contributes to strengthening deep learning within the context of Society 5.0. Grounded in the Community of Inquiry (CoI), Transactional Distance Theory (TD), and recent meta-analyses, the review maps interaction forms, determinants, contextual challenges, and technological opportunities. Evidence demonstrates that high-quality instructional design, strong teaching presence, digital competence, and institutional digital governance effectively enhance cognitive presence and support deeper learning. Unique challenges in Asian contexts—including passive learning behaviors, invisible learners, hierarchical norms, and cognitive overload—limit optimal interaction. This review provides strategic pedagogical and managerial recommendations to optimize learning interaction aligned with technological innovations within Society 5.0.
References
Akyol, Z., & Garrison, D. R. (2011). Understanding cognitive presence in an online and blended community of inquiry: Assessing outcomes and processes for deep approaches to learning. British Journal of Educational Technology, 42(2), 233–250.
Al-Fraihat, D., Joy, M., Masa’deh, R., & Sinclair, J. (2020). Evaluating E-learning systems success: An empirical study. Computers in Human Behavior, 102, 67–86.
Baran, E., Correia, A. P., & Thompson, A. (2011). Transforming online teaching practice: Critical analysis of the literature on the roles and competencies of online teachers. Distance Education, 32(3), 421–439.
Bernard, R. M., Abrami, P. C., Borokhovski, E., Wade, A., Tamim, R., Surkes, M., & Bethel, E. (2009). A meta-analysis of three types of interaction treatments in distance education. Review of Educational Research, 79(3), 1243–1289.
Borup, J., West, R. E., & Graham, C. R. (2014). Improving online social presence through asynchronous video. Internet and Higher Education, 15(3), 195–203.
Broadbent, J., & Poon, W. L. (2015). Self-regulated learning strategies & academic achievement in online higher education learning environments: A systematic review. Internet and Higher Education, 27, 1–13.
Chen, X., Breslow, L., & DeBoer, J. (2018). Analyzing productive learning behaviors for students using immediate feedback in MOOCs. Computers & Education, 125, 198–208.
Darabi, A., Arrastia, M. C., Nelson, D. W., Cornille, T., & Liang, X. (2013). Cognitive presence in asynchronous online learning: A systematic review. Journal of Computer Assisted Learning, 29(4), 307–327.
Fukuyama, M. (2018). Society 5.0: Aiming for a new human-centered society. Japan SPOTLIGHT, 3, 47–50.
Garrison, D. R., & Cleveland-Innes, M. (2005). Facilitating cognitive presence in online learning: Interaction is not enough. American Journal of Distance Education, 19(3), 133–148.
Gladden, M. E. (2019). Who will be the members of Society 5.0? Towards an anthropology of technologically posthumanized future societies. Social Sciences, 8(5), 148.
Gray, J. A., & DiLoreto, M. (2016). The effects of student engagement, student satisfaction, and perceived learning in online learning environments. International Journal of Educational Leadership Preparation, 11(1), 1–20.
Hofstede, G. (2011). Dimensionalizing cultures: The Hofstede model in context. Online Readings in Psychology and Culture, 2(1).
Holmes, W., Bialik, M., & Fadel, C. (2019). Artificial Intelligence in Education: Promises and Implications for Teaching and Learning. Center for Curriculum Redesign.
Hrastinski, S. (2008). Asynchronous and synchronous e-learning. Educause Quarterly, 31(4), 51–55.
Ifenthaler, D., & Yau, J. Y.-K. (2020). Artificial intelligence and learning analytics in education: Opportunities and challenges. Computers in Human Behavior, 113, 106502.
Jaggars, S. S., & Xu, D. (2016). How do online course design features influence student performance? Computers & Education, 95, 270–284.
Kebritchi, M., Lipschuetz, A., & Santiague, L. (2017). Issues and challenges for teaching successful online courses in higher education. Journal of Educational Technology Systems, 46(1), 4–29.
Kirkwood, A., & Price, L. (2014). Technology-enhanced learning and teaching in higher education: What is ‘enhanced’ and how do we know? Learning, Media and Technology, 39(1), 6–36.
Kizilcec, R. F., Piech, C., & Schneider, E. (2013). Deconstructing disengagement: Analyzing learner subpopulations in MOOCs. In Proceedings of the Third International Conference on Learning Analytics and Knowledge (pp. 170–179).
Lim, L., & Pyvis, D. (2012). The power distance dimension in online learning: Learners’ practices and value systems. Interactive Learning Environments, 20(5), 515–528.
Martin, F., Sun, T., & Westine, C. D. (2020). A systematic review of research on online teaching and learning (2009–2018). Computers & Education, 159, 104009.
Mayer, R. E. (2014). Cognitive theory of multimedia learning. In R. E. Mayer (Ed.), The Cambridge Handbook of Multimedia Learning (2nd ed.). Cambridge University Press.
Moore, M. G. (1993). Theory of transactional distance. In Theoretical Principles of Distance Education (pp. 22–38). Routledge.
Park, Y., & Kim, D. (2020). Learning analytics dashboards for self-regulated learning. International Journal of Human–Computer Interaction, 36(10), 930–940.
Rapanta, C., Botturi, L., Goodyear, P., Guàrdia, L., & Koole, M. (2020). Online university teaching during and after the COVID-19 crisis. Postdigital Science and Education, 2, 923–945.
Richardson, J. C., Maeda, Y., Lv, J., & Caskurlu, S. (2018). Social presence in relation to students’ satisfaction and learning in the online environment: A meta-analysis. Computers in Human Behavior, 71, 402–417.
Schmid, R. F., et al. (2023). A meta-analysis of online learning research: What works for deep learning? Educational Research Review, 38, 100–110.
Shea, P., & Bidjerano, T. (2010). Learning presence: Towards a theory of self-efficacy and self-regulation in online learning. Journal of Online Learning and Teaching, 6(2), 245–261.
Simpson, O. (2013). Supporting students for success in online and distance education. Open and Distance Learning Series. Routledge.
Sweller, J., Ayres, P., & Kalyuga, S. (2019). Cognitive Load Theory. Springer.
Walker, A., & Leary, H. (2009). A problem-based learning meta-analysis: Differences across problem types, implementation types, disciplines, and assessment levels. Interdisciplinary Journal of Problem-Based Learning, 3(1), 6–28.
Wang, M. (2020). Peer interaction and knowledge construction in online learning. Journal of Computing in Higher Education, 32, 272–293.
Zawacki-Richter, O. (2020). The current state and impact of distance education research. International Review of Research in Open and Distributed Learning, 21(2), 1–20.
Zawacki-Richter, O., Marín, V. I., Bond, M., & Gouverneur, F. (2019). Systematic review of research on artificial intelligence applications in higher education. International Journal of Educational Technology in Higher Education, 16(1), 1–27.
Zhou, J., Yang, Y., & Wang, X. (2020). The future of education in Society 5.0. Journal of Educational Technology Development and Exchange, 13(1), 1–15.
