Exploring the Impact of Synchronous, Asynchronous, and Bichronous Online Learning Modes on EFL Students’ Self- Regulated and Perceived English Language Learning
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Abstract
The aim of this mixed method study was to investigate the influences of synchronous, asynchronous, and bichronous learning modes on students’ self-regulated and perceived learning in learning English language online. The influential differences among modes were also explored. Three intact groups of first year non-majored undergraduate university students (N = 142) enrolling in the online Foundation English course at a public university in Thailand were assigned to the researcher as the participants of the study. Three different learning modes were appointed randomly to three different groups of students; synchronous (n = 53), asynchronous (n = 42), and bichronous (n = 47) online learning modes over a 5-week of 12-week period. After that, the primary synchronous online learning mode preferred by the university resumed for asynchronous and bichronous learning. As for synchronous learning, the instruction remained the same as it already focused on real-time communication. The Online Self-Regulated English Language Learning Questionnaire (OSELLQ), the Cognitive, Affective, and Psychomotor (CAP) perceived learning scale, and the learning diary were used to collect data. The results revealed that each mode both uniquely promoted and obstructed participants in self-regulated and perceived English language learning, by providing a specific opportunity for the participants to self-control their learning with an expectation of the participants-modes compatibility. This expectation led to a varied level of perceived English language learning in different learning modes.
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References
Abuseileek, A. F., & Qatawneh, K. (2013). Effects of synchronous and asynchronous computer-mediated communication (CMC) oral conversations on English language learners’ discourse functions. Computers & Education, 62, 181-190. https://doi.org/10.1016/j.compedu.2012.10.013
AI-Harthi, A. S. (2010). Learner self-regulation in distance education: A cross-culture study. The American Journal of Distance Education, 24, 135-150. https://doi.org/10.1080/08923647.2010.498232
Arsal, Z. (2010). The effects of diaries on self-regulation strategies of preservice science teachers. International Journal of Environmental & Science Education, 5(1), 85-103. https://doi.org/10.12973/ijese.2010.106
Azevedo, R., & Hadwin, A. F. (2005). Saffolding self-regulated learning and metacognition-Implications for the design of computer-based scaffolds. Instructional Science, 33(5-6), 367-379. https://doi.org/10.1007/s11251-005-1272-9
Barnard, L., Lan, W. Y., To, Y. M., Paton, V. O., & Lai, S.-L. (2009). Measuring self-regulation in online and blended learning environments. Internet and Higher Education, 12, 1-6. https://doi.org/10.1016/j.iheduc.2008.10.005
Barnard-Brak, L., Paton, V. O., & Lan, W. Y. (2010). Profiles in self-regulated learning in the online learning environment. The International Review of Research in Open and Distance Learning, 11(1), 61-80. https://doi.org/10.19173/irrodl.v11i1.769
Benson, P. (2006). Autonomy in language teaching and learning. Language Teaching, 40(1), 21-40. https://doi.org/10.1017/S0261444806003958
Bloom, B. S., Engelhart, M. D., Furst, E. J., Hill, W. H., & Krathwohl, D. R. (1956). Taxonomy of educational objectives: The classification of educational goals. Handbook I: Cognitive domain. David McKay Company.
Bol, L., & Garner, J. K. (2011). Challenges in supporting self-regulation in distance education environments. Journal of Computing in Higher Education, 23(2-3), 104-123. https://doi.org/10.1007/s12528-011-9046-7
Branon, R. F., & Essex, C. (2001). Synchronous and asynchronous communication tools in distance education: A survey of instructors. TechTrends, 45, 36. https://doi.org/10.1007/BF02763377
Broadbent, J. (2017). Comparing online and blended learner’s self-regulated learning strategies and academic performance. The Internet and Higher Education, 33, 24-32. https://doi.org/10.1016/j.iheduc.2017.01.004
Brockett, R. G., & Hiemstra, R. (1991). Self-direction in adult learning: Perspective on theory, research, and practice. Routledge. https://doi.org/10.4324/9780429457319
Carre, P., & Cosnefroy, L. (2011). Self-determined, self-regulated and self-directed learning: Unrelated kin? The 6th Self Biennial International Conference, Laval, Quebec, Canada.
Caspi, A., & Blau, I. (2011). Collaboration and psychological ownership: how does the tension between the two influence perceived learning? Social Psychology of Education, 14(2), 283-298. https://doi.org/10.1007/s11218-010-9141-z
Chen, L.-T., & Liu, L. (2020). Social presence in multidimensional online discussion: The roles of group size and requirements for discussions. Computers in the Schools, 37(2), 116-140. https://doi.org/10.1080/07380569.2020.1756648
Cho, M. H., & Shen, D. (2013). Self-regulation in online learning. Distance Education, 34(3), 290-301. https://doi.org/10.1080/01587919.2013.835770
Chung, E., Subramaniam, G., & Dass, L. C. (2020). Online learning readiness among university students in Malaysia amidst COVID-19. Asian Journal of Univesity Education, 16(2), 46-58. https://doi.org/10.24191/ajue.v16i2.10294
Croasmun, J. T., & Ostrom, L. (2011). Using Likert-type Scales in the Social Science. Journal of Adult Education, 40(1), 19-22.
Dolan, P., Leat, D., Smith, L. M., Mitra, S., Todd, L., & Wall, K. (2013). Self-organised Learnign Environments (SOLEs) in an English school: An example of transformative pedagogy? The Online Educational Research Journal, 3(11), 1-19.
Dotson, R. (2016). Goal setting to increase student academic performance. Journal of School Administration Research and Development, 1(1), 44-46. https://doi.org/10.32674/jsard.v1i1.1908
Emke, M., Ernest, P., Germain-Rutherford, A., Hampel, R., Hopkins, J., Stanojevic, M. M., & Stickler, U. (2010). Needs and challenges for online language teachers - the ECML project DOTS. Teaching English with Technology: A Journal for Teachers of English, 10(2), 5-20. http://cejsh.icm.edu.pl/cejsh/element/bwmeta1.element.desklight-af8eac16-3db6-4969-a70c-4e9e191c08a0
Golkova, D., & Hubackova, S. (2014). Productive skills in second language learning. Procedia-Social and Behavioral Sciences, 143, 477-481. https://doi.org/10.1016/j.sbspro.2014.07.520
Holec, H. (2001). Autonomy in foreign language learning. Pergamon.
Hrbácková, K., & Hladík, J. (2011). Domain-specific context of students´ self-regulated learning in the preparation of helping professions. Procedia-Social and Behavioral Sciences, 29, 330-340. https://doi.org/10.1016/j.sbspro.2011.11.247
Kang, M., & You, J. W. (2014). The role of academic emotions in the relationship between perceived academic control and self-regulated learning in online learning. Computers & Education, 77, 125-133. https://doi.org/10.1016/j.compedu.2014.04.018
Kara, M., Kukul, V., & Cakir, R. (2020). Self-regulation in three types of online interaction: How does it predict online pre-service teachers’ perceived learning and satisfaction? The Asia-Pacific Education Researcher, 30, 1-10. https://doi.org/10.1007/s40299-020-00509-x
Karns, G. L. (2005). An update of marketing student perceptions of learning activities: Structure, preferences, and effectiveness. Journal of Marketing Education, 27(2), 163-171. https://doi.org/10.1177/0273475305276641
Kearney, P. (1994). Affective learning scale. In R. B. Rubin, P. Palmgreen & H. E. Sypher (Eds.), Communication research measures: A sourcebook. The Guilford Press.
Keramidas, C. G. (2012). Are undergraduate students ready for online learning? A comparison of online and face-to-face sections of a course. Rural Special Education Quarterly, 31(4), 25-32. https://doi.org/10.1177/875687051203100405
Kizilcec, R. F., Perez-Sanagustin, M., & Maldonado, J. J. (2017). Self-regulated learning strategies predict learner behavior and goal attainment in massive open online courses. Computer & Education, 104, 18-33. https://doi.org/10.1016/j.compedu.2016.10.001
Linkous, H. M. (2020). Self-directed learning and self-regulated learning: What’s the difference? A Literature Analysis The American Association for Adult and Continuing Education 2020 Conference.
Martin, F., Polly, D., & Ritzhaupt, A. D. (2020). Bichronous online learning: Blending asynchronous and synchronous online learning. https://er.educause.edu/articles/2020/9/bichronous-online-learning-blending-asynchronousand-synchronous-online-learning
McBrien, J. L., Cheng, R., & Jones, P. (2009). Virtual spaces: Employing a synchronous online classroom to facilitate students engagement in online learning. The International Review of Research in Open and Distance Learning, 10(3), 1-17. https://doi.org/10.19173/irrodl.v10i3.605
Mitra, S., & Crawley, E. (2014). Effectiveness of self-organised learning by children: Gateshead experiments. Journal of Education and Human Development, 3(3), 79-88. https://doi.org/10.15640/jehd.v3n3a6
Moallem, M. (2015). The impact of synchronous and asynchronous communication tools on learner self-regulation, social presence, immediacy, intimacy and satisfaction in collaborative online learning. The Online Journal of Distance Education and E-learning, 3(3), 55-77. https://www.tojdel.net/journals/tojdel/articles/v03i03/v03i03-08.pdf
Palvia, S., Aeron, P., Gupta, P., Mahapatra, D., Parida, R., Rosner, R., & Sindhi, S. (2018). Online education: Worldwide status, challenges, trends, and implications. Journal of Global Information Technology Management, 21(4), 233-241. https://doi.org/10.1080/1097198X.2018.1542262
Pimentel, J. (2010). A note on the usage of Likert Scaling for research data analysis. USM Research and Development Journal, 18(2), 109-112.
Pintrich, P. R. (2004). A conceptual framework for assessing motivation and self-regulated learning in college students. Educational Psychology Review, 16(4), 385-407. https://doi.org/10.1007/s10648-004-0006-x
Porat, E., Blau, I., & Barak, A. (2018). Measuring digital literacies: Junior high-school students’ perceived competencies versus actual performance. Computers & Education, 126, 23-36. https://doi.org/10.1016/j.compedu.2018.06.030
Rovai, A. P., Wighting, M. J., Baker, J. D., & Grooms, L. D. (2009). Development of an instrument to measure perceived cognitive, affective, and psychomotor learning in traditionaland virtual classroom higher education settings. Internet and Higher Education, 12(1), 7-13. https://doi.org/10.1016/j.iheduc.2008.10.002
Simpson, E. J. (1974). The classification of educational objectives in the psychomotor domain. In R. J. Kibler, D. J. Cegala, L. L. Barker, & D. T. Miles (Eds.), Objectives for instruction and evaluation. Allyn and Bacon.
Sun, J. C. Y., & Rueda, R. (2012). Situational interest, computer self-educacy and self-regulation: Their impact on student engagement in distance ducation. British Journal of Educational Technology, 43(2), 191-204. https://doi.org/10.1111/j.1467-8535.2010.01157.x
Tseng, W.-T., Liu, H., & Nix, J.-M. L. (2017). Self-regulation in language learning: Scale validation and gender effects. Perceptual and Motor skills, 124(2), 531-548. https://doi.org/10.1177/0031512516684293
Wang, C. H., Shannon, D., & Ross, M. (2013). Students’ characteristics, self-regulated learning, technology self-efficacy, and course outcomes in online learning. Distance Education, 34(3), 302-323. https://doi.org/10.1080/01587919.2013.835779
Yahaya, A., Maakip, I., Voo, P., & Yusuf, M. Y. M. N. K. B. A. R. (2020). Effects of self-regulated learning, parental involvement and homework on academic achievement of school students. International. Journal of Academic Research in Progressive Education and Development, 9(2), 380-397. https://doi.org/10.6007/IJARPED/v9-i2/7419
Zhang, Y. (2013). Power distance in online learning: Experience of Chinese learners in U.S. higher education. The International Review of Research in Open and Distance Learning, 14(4), 238-254. https://doi.org/10.19173/irrodl.v14i4.1557
Zhao, H., & Chen, L. (2016). How can self-regulated learning be supported in E-learning 2.0 environment: A comparative study. Journal of Educational Technology Development and Exchange (JETDE), 9(2), 1-20. https://doi.org/10.18785/jetde.0902.01
Zimmerman, B. J., & Martinez-Pons, M. (1990). Student differences in self-regulated learning: Relating grade, sex, and giftedness to self-efficacy and strategy use. Journal of Educational Psychology, 82(1), 51-59. https://doi.org/10.1037/0022-0663.82.1.51