Frontiers in Educational Research, 2022, 5(19); doi: 10.25236/FER.2022.051910.
Chenjuan Jiang, Dandan Liu
School of Foreign Studies, Jiangnan University, Wuxi, 214122, China
Learning management systems (LMSs) have been widely used in Chinese higher education institutions. This study investigated student learning engagement of English as a foreign language (EFL) on an LMS among 109 Chinese undergraduates and the relationship between online learning behavioral engagement and learning outcome. The results showed that most students devoted themselves to epidemic-induced online EFL learning and achieved desirable learning performance. But they have encountered a few challenges. Regression analysis showed that student engagement data on the LMS can predict their learning outcomes. Student participation in interactive activities can predict 18.6% of the variance in students’ final test scores. T-test analysis of variances revealed that female students showed higher online learning engagement and performance than their male counterparts. Moreover, the correlation between online behavioral engagement and the learning outcome is stronger in female students than that in male students. Educational implications, limitations, and directions for future research are discussed.
Online Behavioral Learning Engagement; Learning Performance; Gender; LMS Data
Chenjuan Jiang, Dandan Liu. Investigating Online Behavioral Learning Engagement and Performance based on LMS Data amid COVID-19: Does Gender Really Matter?. Frontiers in Educational Research (2022) Vol. 5, Issue 19: 47-59. https://doi.org/10.25236/FER.2022.051910.
 Mercer, S. (2019). Language learner engagement: Setting the scene. In X. Gao (Ed.), Second handbook of English language teaching, Cham: Springer International Publishing, 1–19.
 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.
 Korlat, S., Kollmayer, M., Holzer, J., Luftenegger, M., Pelikan, E. R, Schober, B., and Spiel, C. (2021). Gender Differences in Digital Learning during COVID-19: Competence Beliefs, Intrinsic Value, Learning Engagement, and Perceived Teacher Support. Frontier in Psychology, vol.12, Article ID 637776, 12 pages.
 Ma, J., Han, X., Yang, J., & Cheng, J. (2015). Examining the necessary condition for engagement in an online learning environment based on learning analytics approach: The role of the instructor. The Internet and Higher Education, 24, 26–34.
 Kuh, G. D., Cruce, T. M., Shoup, R., Kinzie, J., & Gonyea, R. M. (2008). Unmasking the effects of student engagement on first-year college grades and persistence. The Journal of Higher Education, 79 (5), 540–563.
 Fredricks, J. A., 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.
 Birch, S. H., & Ladd, G. W. (1997). The teacher-child relationship and children’s early school adjustment. Journal of School Psychology, 35 (1), 61–79.
 Wang, H., Tlili, A., Lämsä, J., Cai, Z., Zhong, X., & Huang, R. (2022). Temporal perspective on the gender-related differences in online learning behaviour. Behaviour & Information Technology, 1-15.
 Norris, L., & Coutas, P. (2014). Cinderella’s coach or just another pumpkin? Information communication technologies and the continuing marginalisation of languages in Australian schools. Australian Review of Applied Linguistics, 37(1), 43–61.
 Hadwin, A. F., Nesbit, J. C., Jamieson-Noel, D., Code, J., & Winne, P. H. (2007). Examining trace data to explore self-regulated learning. Metacognition Learning, 2, 107–124.
 Namoun, A., & Alshanqiti, A. (2020). Predicting Student Performance Using Data Mining and Learning Analytics Techniques: A Systematic Literature Review. Applied Sciences, 11(1), 28 pages.
 Wang, M. T. & Hofkens, T. (2020). Beyond Classroom Academics: A School-Wide and Multi-Contextual Perspective on Student Engagement in School. Adolescent Research Review, 5(4), 419-433.
 Kim, D., Jo, I-H., Song, D., Zheng, H., Li, J., Zhu, J., Xu, Z., (2021). Self-regulated learning strategies and student video engagement trajectory in a video-based asynchronous online course: a Bayesian latent growth modeling approach. Asia Pacific Education Review, 22 (2), 305-317.
 Lee, J., Park, T., and Davis, R. O. (2018). What affects learner engagement in flipped learning and what predicts its outcomes? British Journal of Educational Technology, 53 (2), 211-228.
 Qu, I., & Johnson, W. I. (2005). Detecting the learner's motivational states in an interactive learning environment. In C.-K. Looi, G.I. McCalla, B. Bredeweg, and J. Breuker (Eds.), Proceedings of the 12th international conference on artificial intelligence in education: Supporting learning through intelligent and socially informed technology, Amsterdam, The Netherlands, 547–554.
 Asarta, C. J., & Schmidt, J. R. (2013). Access patterns of online materials in a blended course. Decision Sciences Journal of Innovative Education, 11 (1), 107–123.
 Soffer T., & Cohen, A. (2019). Students’ engagement characteristics predict success and completion of online courses. Journal of Computer Assisted Learning, 35(3), 378-389.
 Wang, F. H. (2017). An exploration of online behavior engagement and achievement in flipped classroom supported by learning management system. Computers & Education, 114, 79–91.
 Abulela, M. A. A., & Bart, W. M. (2020). Learning and study strategies and engagement among Egyptian undergraduates: do gender and discipline matter? Educational Psychology, 41(9), 1160-1179.
 Anwar, A., Mansoor, H., Faisal, D., & Khan, H. S. (2021). E-Learning amid the COVID-19 Lockdown: Standpoint of Medical and Dental Undergraduates. Pakistan Journal of Medical Sciences, 37 (1), 217-222.
 Williams, K. M., Stafford, R. E., Corliss, S. B., & Reilly, E. D. (2018). Examining student characteristics, goals, and engagement in massive open online courses. Computers & Education, 126, 433–442.
 Han, I. & Shin, W.S. (2016). The use of a mobile learning management system and academic achievement of online students. Computers & Education, 102, 79-89.
 Wu, H., Li, S., Zheng, J., & Guo, J., (2020). Medical students' motivation and academic performance: the mediating roles of self-efficacy and learning engagement. Medical Education Online, 25(1), Article ID 1742964, 9 pages.
 Cuadrado-García, M., Ruiz-Molina, M. E., & Montoro-Pons, J. D., (2010). Are there gender differences in e-learning use and assessment? Evidence from an interuniversity online project in Europe. Procedia Social and Behavioral Sciences, 2, 367–371.
 Krasodomska, J. & Godawska, J. (2020). E-learning in accounting education: the influence of students’ characteristics on their engagement and performance. Accounting Education, 30 (1), 22-41.
 Biggs, J., Kember, D., & Leung, D. Y. P. (2001). The revised two-factor Study Process Questionnaire: R-SPQ-2F. British Journal of Educational Psychology, 71(1), 133–149.
 Conrad Rita-Marie & Donaldson J. Ana, (2004) Engaging the Online Learner Activities and Resources for Creative Instruction, Jossey-Bass A Wiley Imprint, San Francisco, CA, pp. 19.
 Englehart, M. D., Furst, E. J., Hill, W. H., & Krathwohl, D. R. (1956). The Taxonomy of Educational Objectives, The Classification of Educational Goals, Handbook 1: Cognitive Domain, Benjamin S. Bloom, (Ed.), published by David McKay Company, Inc., New York, pp. 10-24.
 Chou, S.-W., & Liu, C.-H. (2005). Learning effectiveness in a Web-based virtual learning environment: a learner control perspective. Journal of Computer Assisted Learning, 21(1), 65-76.
 Mercer, S., Talbot, K. R., Wang, I. K. (2021). Fake or Real Engagement – Looks can be Deceiving. In Book: Student Engagement in the Language Classroom Publisher: Multilingual Matters, 143-162.
 Qureshi, M. A., Khaskheli, A., Qureshi, J. A., Raza, S. A., & Yousufi, S. Q. (2021). Factors affecting students’ learning performance through collaborative learning and engagement. Interactive Learning Environments, 21 pages.
 Lam S. F., Jimerson, S., Kikas, E., Cefai, C., Veiga, F. H., Nelson, B, Zollneritsch, J. (2012). Do girls and boys perceive themselves as equally engaged in school? The results of an international study from 12 countries. Journal of School Psychology. 50 (1), 77–94.
 Houtte, M. Van (2004). Why boys achieve less at school than girls: The difference between boys’ and girls’ academic culture. Educational Studies. 3 (2), 159–173.