Factors Affecting Indonesian University Students’ Participation in Synchronous vs Asynchronous Online English Classess: A Perceptual Analysis

  • Nizar Saputra Universitas Samudra, Langsa, Indonesia
  • Mulyani Universitas Samudra, Langsa, Indonesia
  • Asirah The University of Adelaide, Adelaide, Australia
Keywords: Low Participation, Synchronous Classes, Asynchronous Classes, Tertiary EFL Students, Online Classes

Abstract

With the expanding realm of online education in Indonesia, determining factors influencing university students' participation in distinct modes of virtual learning is crucial to developing more effective digital pedagogy. This research aims to scrutinize factors affecting Indonesian EFL (English as a Foreign Language) university students' low participation in synchronous and asynchronous online learning classes. This research was framed quantitatively by employing a five-rating Likert-scale survey. This survey aimed to illuminate the underlying factors that shape students' behaviors or perceptions within these online learning modes. The findings showed that factors affecting the Indonesian tertiary EFL students' low participation in synchronous virtual learning mode include technical problems, learning anxiety, social isolation, socioeconomic status, and pet and human interferences. Meanwhile, heavy workloads, tedious content, and deprivation of human contact were associated with the factors affecting the EFL students' low participation in asynchronous learning modes.

References

Adedoyin, O. B., & Soykan, E. (2023). Covid-19 pandemic and online learning: the challenges and opportunities. Interactive learning environments, 31(2), 863-875.

Baker, J., & Tukhvatulina, S. (2023). Reflections of Adult Learners in Asynchronous Online Degree Programs. Journal of Effective Teaching in Higher Education, 6(1), 47-65.

Bender, S., & Dickenson, P. (2016). Utilizing social media to engage students in online learning: building relationships outside of the learning management system. In Increasing Productivity and Efficiency in Online Teaching (pp. 84-105). IGI Global.

Bryman, A. (2016). Social Research Methods. Oxford, UK: Oxford University Press.

Chou, C. C. (2002, January). A comparative content analysis of student interaction in synchronous and asynchronous learning networks. In Proceedings of the 35th annual Hawaii International Conference on System Sciences (pp. 1795-1803). IEEE.

Cohen, L., Manion, L., & Morrison, K. (2018). Research methods in education (eighth edition). Abingdon, Oxon.

Dennen, V. P. (2005). From message posting to learning dialogues: Factors affecting learner participation in asynchronous discussion. Distance education, 26(1), 127-148.

Ebrahimi, A., Faghih, E., & Marandi, S. S. (2016). Factors affecting pre-service teachers’ participation in asynchronous discussion: The case of Iran. Australasian Journal of Educational Technology, 32(2).

Estabrooks, P. A., Lee, R. E., & Gyurcsik, N. C. (2003). Resources for physical activity participation: Do availability and accessibility differ by neighborhood socioeconomic status? Annals of Behavioral Medicine, 25(2), 100-104.

Ezeah, C. (2014). Analysis of factors affecting learner participation in asynchronous online discussion forums in higher education institutions. Journal of Research & Method in Education, 4(5), 08-14.

Fraenkel, J. R., Wallen, N. E., & Hyun, H. H. (2012). How to design and evaluate research in education. New York: McGraw-Hill.

Gelles, L. A., Lord, S. M., Hoople, G. D., Chen, D. A., & Mejia, J. A. (2020). Compassionate flexibility and self-discipline: Student adaptation to emergency remote teaching in an integrated engineering energy course during COVID-19. Education Sciences, 10(11), 304.

Gorard, S., & See, B. H. (2009). The impact of socio‐economic status on participation and attainment in science. Studies in Science Education, 45(1), 93-129.

Hew, K. F., Cheung, W. S., & Ng, C. S. L. (2010). Student contribution in asynchronous online discussion: A review of the research and empirical exploration. Instructional Science, 38, 571-606.

Johnson, L., & Renner, J. (2012). Effect of the flipped classroom model on a secondary computer applications course: Student and teacher perceptions, questions and student achievement. Unpublished doctoral dissertation). University of Louisville, Louisville, Kentucky.

Karal, H., Cebi, A., & Turgut, Y. E. (2011). Perceptions of students who take synchronous courses through video conferencing about distance education. Turkish Online Journal of Educational Technology-TOJET, 10(4), 276-293.

Khansir, A. A., Jafarizadegan, N., & Karampoor, F. (2016). Relation between Socio-economic Status and Motivation of Learners in Learning English as a Foreign Language. Theory & Practice in Language Studies, 6(4).

Malik, R. S. (2018). Educational challenges in the 21st century and sustainable development. Journal of Sustainable Development Education and Research, 2(1), 9-20.

Martin, F., Ahlgrim-Delzell, L., & Budhrani, K. (2017). A systematic review of two decades (1995 to 2014) of research on synchronous online learning. American Journal of Distance Education, 31 (1), 3–19. doi:10.1080/08923647.2017.1264807

Muilenburg, L. Y., & Berge, Z. L. (2005). Student barriers to online learning: A factor analytic study. Distance education, 26(1), 29-48. O'Brien, H. L., Roll, I., Kampen, A., & Davoudi, N. (2022). Rethinking (Dis) engagement in human-computer interaction. Computers in human behavior, 128, 107109.

Pardede, P. (2023). Indonesian EFL students’ perception of online learning as expressed through metaphors. Journal of English Teaching, 9(2), 299-309. DOI: https://doi.org/10.33541/jet.v9i2.5074

Pardede, P. (2019). Pre-Service EFL teachers' perception of blended learning. Journal of English Teaching, 5(1), 1-14. DOI: https://doi.org/10.33541/jet.v5i1.955

Qureshi, M. I., Khan, N., Raza, H., Imran, A., & Ismail, F. (2021). Digital technologies in education 4.0. Does it enhance the effectiveness of learning?

Rohmadi, K. A., & Indriani, L. (2020). An analysis of students' inhibition level in synchronous class using video conferencing. Jurnal Review Pendidikan dan Pengajaran (JRPP), 3(2), 349-357.

Saputra, N. (2020). Exploring Indonesian English Teachers’ Perspectives toward the Use of Translation in English Language Teaching (ELT) Classroom. International Journal for Educational and Vocational Studies, 2(3).

Saputra, N., & Asirah, A. (2022). EFL Students' Perceptions Toward the Integration of Bahasa Indonesia (L1) In English Language Teaching. Jo-ELT (Journal of English Language Teaching) Fakultas Pendidikan Bahasa & Seni Prodi Pendidikan Bahasa Inggris IKIP, 9(2), 185-193.

Sulistyawati, K. T., & Kuswandono, P. (2022). Students’ Self-regulation in English Reading Comprehension during Online Class in Yogyakarta Private Senior High School. Journal of English Teaching, 8(2), 209-223.

Steenberghs, N., Lavrijsen, J., Soenens, B., & Verschueren, K. (2021). Peer effects on engagement and disengagement: Differential contributions from friends, popular peers, and the entire class. Frontiers in Psychology, 12, 726815.

Tasgin, A., & Tunc, Y. (2018). Effective Participation and Motivation: An Investigation on Secondary School Students. World Journal of Education, 8(1), 58-74.

Yan, L., Whitelock‐Wainwright, A., Guan, Q., Wen, G., Gašević, D., & Chen, G. (2021). Students’ experience of online learning during the COVID‐19 pandemic: A province‐wide survey study. British Journal of Educational Technology, 52(5), 2038-2057.

Zacharias, N. T. (2003). A survey of tertiary teachers’ beliefs about English language teaching in Indonesia with regard to the role of English as a global language. Unpublished MA Thesis, Thailand University, August, 126.

Xie, K., Durrington, V., & Yen, L. L. (2011). Relationship between students’ motivation and their participation in asynchronous online discussions. Journal of Online Learning and Teaching, 7(1), 17-29.

Yarmand, M., Solyst, J., Klemmer, S., & Weibel, N. (2021, May). “It feels like I am talking into a void”: Understanding interaction gaps in synchronous online classrooms. In Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems, pp. 1-9.

Published
2024-02-10