When “Blended” Becomes “Online” : A Data-Driven Study on the Change of Self- Directed Engagement During COVID-19
Journal: CALICO Journal
Subject Areas:
DOI: 10.1558/cj.19666
Abstract:
With the outbreak of COVID-19 in 2020, many universities shifted to online teaching. However, some online instruction had already been implemented well before the pandemic. This study investigates (1) how engagement in blended CALL activities differed during the pandemic, and (2) in what ways the assessment outcomes were associated with student engagement during the pandemic. The study was conducted in an English for academic purposes (EAP) course at a Hong Kong university that had already implemented blended learning for several years. Adopting an analytics-based approach, 469,286 data logs in a learning management system were analyzed to measure students’ engagement and their respective self-directed behavior. The retrieved student data covered the time both before and during the pandemic. Our findings reveal that students were primarily engaged for assessment purposes; however, those in the pandemic cohort demonstrated better self-directed behavior, such as early and regular engagement. Although the results indicated a relatively strong association between student engagement and course outcomes, the students during the pandemic seem to have managed their learning more effectively.
Author: Dennis Foung, Julia Chen, Linda Lin
References :
Aladsani, H. K. (2021). A narrative approach to university instructors’ stories about promoting student engagement during COVID-19 emergency remote teaching in Saudi Arabia. Journal of Research on Technology in Education. Advance online publication. https://doi.org/10.1080/15391523.2021.1922958
Andrade, C. (2019). Multiple testing and protection against a type 1 (false positive) error using the Bonferroni and Hochberg corrections. Indian Journal of Psychological Medicine, 41(1), 99–100. https://doi.org/10.4103/IJPSYM.IJPSYM_499_18
Arslan, G. (2021). Loneliness, college belongingness, subjective vitality, and psychological adjustment during coronavirus pandemic: Development of the College Belongingness Questionnaire. Journal of Positive School Psychology, 5(1), 17–31. https://doi.org/10.47602/jpsp.v5i1.240
Astani, M., Ready, K. J., & Duplaga, E. A. (2010). Online course experience matters: Investigating students’ perceptions of online learning. Issues in Information Systems, 10(2), 14–21.
Beyer, C. K., Brownson, S., & Evans, S. (2017). Enhancing interactivity in online classes: A framework for enhancing instructor-student, student-student, and student-content engagement. International Journal of Learning, Teaching and Educational Research, 16(5), 53–71.
Boekaerts, M. (2016). Engagement as an inherent aspect of the learning process. Learning and Instruction, 43, 65–83. https://doi.org/10.1016/j.learninstruc.2016.02.001
Bosch, N. (2016, July). Detecting student engagement: Human versus machine. In Proceedings of the 2016 Conference on User Modeling Adaptation and Personalization (pp. 317–320). New York: Association for Computing Machinery. https://doi.org/10.1145/2930238.2930371
Carini, R. M., Kuh, G. D., & Klein, S. P. (2006). Student engagement and student learning: Testing the linkages. Research in Higher Education, 47(1), 1–32. https://doi.org/10.1007/s11162-005-8150-9
Chen, J., & Foung, D. (2020). A motivational story in Hong Kong: Generating goals for language learners and blended learning designers from a mixed-method learning analytics approach in English for academic purposes. In M. Freiermuth & N. Zarrinabadi (Eds.), Technology and the psychology of second language learners and users (pp. 491–516). Cham: Springer. https://doi.org/10.1007/978-3-030-34212-8_19
Chung, E., Subramaniam, G., & Dass, L. C. (2020). Online learning readiness among university students in Malaysia amidst COVID-19. Asian Journal of University Education, 16(2), 46–58. https://doi.org/10.24191/ajue.v16i2.10294
De Waard, I., & Kukulska-Hulme, A. (2019). Learners self-directing learning in Future-Learn MOOCs: A learner-centered study. In M. Scheffel, J. Broisin, V. Pammer-Schindler, A. Ioannou, & J. Schneider (Eds.), Transforming learning with meaningful technologies. (pp. 127–141). Cham: Springer. https://doi.org/10.1007/978-3-030-29736-7_10
Dewan, M. A. A., Murshed, M., & Lin, F. (2019). Engagement detection in online learning: A review. Smart Learning Environments, 6(1), 1–20. https://doi.org/10.1186/s40561-018-0080-z
Dubreil, S. (2020). Using games for language learning in the age of social distancing. Foreign Language Annals, 53(2), 250–259. https://doi.org/10.1111/flan.12465
Eccles, J. (2016). Engagement: Where to next? Learning and Instruction, 43, 71–75. https://doi.org/10.1016/j.learninstruc.2016.02.003
Famularsih, S. (2020). Students’ experiences in using online learning applications due to COVID-19 in English classroom. Studies in Learning and Teaching, 1(2), 112–121. https://doi.org/10.46627/silet.v1i2.40
Ferguson, R. (2012). Learning analytics: Drivers, developments and challenges. International Journal of Technology Enhanced Learning, 4(5–6), 304–317. https://doi.org/10.1504/IJTEL.2012.051816
Fredericks, J., Blumenfeld, P. C., & Paris, A. H. (2004). School engagement: Potential of the concept, state of the evidence. Review of Educational Research, 74(1), 59–109. https://doi.org/10.3102/00346543074001059
Foung, D., & Chen, J. (2019). A learning analytics approach to the evaluation of an online learning package in a Hong Kong university. Electronic Journal of e-Learning, 17(1), 11–24. https://eric.ed.gov/?id=EJ1215541
Gacs A., Goertler S., & Spasova S. (2020). Planned online language education versus crisis-prompted online language teaching: Lessons for the future. Foreign Language Annals, 53(2), 380–392. https://doi.org/10.1111/flan.12460
Hazaea, A. N., Bin-Hady, W. R. A., & Toujani, M. M. (2021). Emergency remote English language teaching in the Arab league countries: Challenges and remedies. Computer-Assisted Language Learning Electronic Journal, 22(1), 207–229.
Hodges, C., Moore, S., Lockee, B., Trust, T., & Bond, A. (2020). The difference between emergency remote teaching and online learning. Educause Review, 27(1), 1–9. https://er.educause.edu/articles/2020/3/the-difference-between-emergency-remote-teaching-and-online-learning
Jia, C., Hew, K. F., Bai, S., & Huang, W. (2020). Adaptation of a conventional flipped course to an online flipped format during the Covid-19 pandemic: Student learning performance and engagement. Journal of Research on Technology in Education. Advance online publication. https://doi.org/10.1080/15391523.2020.1847220
Jo, I., & Kim, Y. (2013). Impact of learner’s time management strategies on achievement in an e-learning environment: A learning analytics approach. Journal of Educational Information and Media, 19(1), 83–107.
Johnson, D., & Palmer, C. C. (2015). Comparing student assessment and perceptions of online and face-to-face versions of an introductory linguistics course. Online Learning, 19(2). https://doi.org/10.24059/olj.v19i2.449
Kahn, P., Everington, L., Kelm, K., Reid, I., & Watkins, F. (2017). Understanding student engagement in online learning environments: The role of reflexivity. Educational Technology Research and Development, 65(1), 203–218. https://doi.org/10.1007/s11423-016-9484-z
Khlaif, Z. N., Salha, S., & Kouraichi, B. (2021). Emergency remote learning during COVID-19 crisis: Students’ engagement. Education and Information Technologies. Advance online publication. https://doi.org/10.1007/s10639-021-10566-4
Khong, M. L., Chan E, Tanner, J. A., Lee, P. P. W., & Wong, G. (2020). COVID-19—a covert catalyst for pedagogical stocktake and transformation: Perspectives of a global hub. MedEdPublish, 9(1), 212. https://doi.org/10.15694/mep.2020.000212.1
Kohnke, L., & Moorhouse, B. L. (2020). Facilitating synchronous online language learning through Zoom. RELC Journal. Advance online publication. https://doi.org/10.1177/0033688220937235
Kohnke, L., & Moorhouse, B. L. (2021). Adopting HyFlex in higher education in response to COVID-19: Students’ perspectives. Open Learning: The Journal of Open, Distance and e-Learning. Advance online publication. https://doi.org/10.1080/02680513.2021.1906641
Kranzow, J., & Hyland, N. (2016). Self-directed learning: Developing readiness in graduate students. International Journal of Self-Directed Learning, 13(2), 1–14.
Kuh, G. D. (2001). Assessing what really matters to student learning inside the national survey of student engagement. Change: The Magazine of Higher Learning, 33(3), 10–17. https://doi.org/10.1080/00091380109601795
Kuh, G. D. (2009). What student affairs professionals need to know about student engagement. Journal of College Student Development, 50(6), 683–706. https://doi.org/10.1353/csd.0.0099
Kyne, S. H., & Thompson, C. D. (2020). The COVID cohort: Student transition to university in the face of a global pandemic. Journal of Chemical Education, 97(9), 3381–3385. https://doi.org/10.1021/acs.jchemed.0c00769
Liu, F., & Cavanaugh, C. (2011). High enrollment course success factors in virtual school: Factors influencing student academic achievement. International Journal on E-Learning, 10, 393–418.
Luan, L., Hong, J. C., Cao, M., Dong, Y., & Hou, X. (2020). Exploring the role of online EFL learners’ perceived social support in their learning engagement: A structural equation model. Interactive Learning Environments. Advance online publication. https://doi.org/10.1080/10494820.2020.1855211
Macfadyen, L. P., & Dawson, S. (2010). Mining LMS data to develop an “early warning system” for educators: A proof of concept. Computers & Education, 54(2), 588–599. https://doi.org/10.1016/j.compedu.2009.09.008
Martin, F., & Bolliger, D. U. (2018). Engagement matters: Student perceptions on the importance of engagement strategies in the online learning environment. Online Learning, 22(1), 205–222.
Maulan, S. B., & Ibrahim, R. (2012). The teaching and learning of English for academic purposes in blended environment. Procedia—Social and Behavioral Sciences, 67, 561–570. https://doi.org/10.1016/j.sbspro.2012.11.361
Miller, B. W. (2015). Using reading times and eye-movements to measure cognitive engagement. Educational Psychologist, 50(1), 31–42. https://doi.org/10.1080/00461520.2015.1004068
Moore, M. G. (1993). Three types of interaction. In. K. Harry, M. John & D. Keegan (Eds.), Distance education: New perspectives (pp. 19–24). London: Routledge. https://doi.org/10.4324/9781315003429
Moser, K. M., Wei, T., & Brenner, D. (2021). Remote teaching during COVID-19: Implications from a national survey of language educators. System, 97, article 102431. https://doi.org/10.1016/j.system.2020.102431
Muir, T., Milthorpe, N., Stone, C., Dyment, J., Freeman, E., & Hopwood, B. (2019). Chronicling engagement: Students’ experience of online learning over time. Distance Education, 40(2), 262–277. https://doi.org/10.1080/01587919.2019.1600367
Pike, G. R., Kuh, G. D., & McCormick, A. C. (2011). An investigation of the contingent relationships between learning community participation and student engagement. Research in Higher Education, 52, 300–322. https://doi.org/10.1007/s11162-010-9192-1
Ramrung, M. A., Frade, N., Marais, M. F., Govender, M. T., Cupido, X., Pather, S., & Fontaine, D. (2002). Care and connection: Understanding the lived experiences during COVID-19. Higher Education Learning & Teaching Association of Southern Africa. Retrieved from http://heltasa.org.za/care-and-connection-understanding-the-lived-experiences-during-covid-19/
Rashid, T., & Asghar, H. M. (2016). Technology use, self-directed learning, student engagement and academic performance: Examining the interrelations. Computers in Human Behavior, 63, 604–612. https://doi.org/10.1016/j.chb.2016.05.084
Rodriguez, M., Ooms, A., & Montanez, M. (2008). Students’ perceptions of online-learning quality given comfort, motivation, satisfaction, and experience. Journal of Interactive Online Learning, 7(2), 105–118.
Salih, A. A., & Omar, L. I. (2021). Season of migration to remote language learning platforms: Voices from EFL university learners. International Journal of Higher Education, 10(2). https://doi.org/10.5430/ijhe.v10n2p62
Shapley, P. (2000). On-line education to develop complex reasoning skills in organic chemistry. Journal of Asynchronous Learning Networks, 4(2), 62–73. https://doi.org/10.24059/olj.v4i2.1900
Shek, D. (2020). Protests in Hong Kong (2019–2020): A perspective based on quality of life and well-being. Applied Research in Quality of Life, 15, 619–635. https://doi.org/10.1007/s11482-020-09825-2
Song, L., & Hill, J. R. (2007). A conceptual model for understanding self-directed learning in online environments. Journal of Interactive Online Learning, 6(1), 27–42.
Sun, S. Y. H. (2014). Learning perspectives on fully online language learning. Distance Education 35(1), 18–42. https://doi.org/10.1080/01587919.2014.891428
Tabachnick, B. G., & Fidell, L. S. (2013). Using multivariate statistics. Boston/London: Pearson.
Thomas, N. (2020). Lessons from the virtual front: Tertiary education in Hong Kong. CEA Critic, 82(3), 297–300. https://doi.org/10.1353/cea.2020.0025
Vorobel, O., & Kim, D. (2012). Language teaching at a distance: An overview of research. CALICO Journal, 29(3), 548–562. https://doi.org/10.11139/cj.29.3.548-562
Wang, C., Shannon, D. M., & Ross, M. E. (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
Whitehill, J., Serpell, Z., Lin, Y. C., Foster, A., & Movellan, J. R. (2014). The faces of engagement: Automatic recognition of student engagement from facial expressions. IEEE Transactions on Affective Computing, 5(1), 86–98. https://doi.org/10.1109/TAFFC.2014.2316163
Wong, K. M., & Moorhouse, B. L. (2020). The impact of social uncertainty, protests, and COVID-19 on Hong Kong teachers. Journal of Loss and Trauma, 25(8), 649–655. https://doi.org/10.1080/15325024.2020.1776523
You, J. W. (2016). Identifying significant indicators using LMS data to predict course achievement in online learning. The Internet and Higher Education, 29, 23–30. https://doi.org/10.1016/j.iheduc.2015.11.003
Yusuf, B. N., & Ahmad, J. (2020). Are we prepared enough? A case study of challenges in online learning in a private higher learning institution during the Covid-19 outbreaks. Advances in Social Sciences Research Journal, 7(5), 205–212. https://doi.org/10.14738/assrj.75.8211
Zhang, Z., Li, Z., Liu, H., Cao, T., & Liu, S. (2020). Data-driven online learning engagement detection via facial expression and mouse behavior recognition technology. Journal of Educational Computing Research, 58(1), 63–86. https://doi.org/10.1177/0735633119825575
Zuo, L., Dillman, D., & Miller Juve, A. (2020). Learning at home during COVID?19: A multi-institutional virtual learning collaboration. Medical Education, 54(7), 664–665. https://doi.org/10.1111/medu.14194