One online pedagogical approach that has gained traction in the recent Covid-19 pandemic is the Flipped Learning approach. This approach is seen as a solution to navigate education during and after the pandemic due to its student-centric nature that foster deeper understanding and encourages active learning especially for English as a Second Language (ESL) learners. By flipping the traditional classroom structure, ESL learners have the access to view online lectures and materials from home, then spend in-class time participating in activities and discussions to apply and strengthen their English language skills. However, one important aspect that has to be addressed to guarantee that remote ESL learners are prepared for virtual flipped learning is to understand their decision-making styles especially while learning academic reading skills. Resistance to reading compliance may hinder the language teaching and learning process during virtual flipped classes. ESL learners who do not read, will find it difficult to actively participate in VFC for academic reading skills because the nature of it involves intellectual discussions. The knowledge on learners’ decision-making styles is important for VFC instructors to provide detailed guidance and support the remote ESL learners to achieve meaningful academic reading skills that may impact their academic success. This paper attempts to explore English as a Second Language (ESL) learners’ decision-making styles in virtual flipped classroom for academic reading classes. The implication of this study is to assist language instructors to further understand ESL learners’ decision-making styles, and how they perceive decision-making skills for virtual flipped classes to achieve meaningful learning. Also, this study provides opportunities for language instructors to develop Virtual Flipped Classroom modules for teaching language skills.
Anderson, L. W., Krathwohl, D. R., Airasian, P. W., Cruikshank, K. A., Mayer, R. E., Pintrich, P. R., Raths, J., & Wittrock, M. C. (2001). A taxonomy for teaching and assessing: A revision of Bloom's Taxonomy of Educational Objectives (Complete edition). Longman.
Almaiah, M. A., Al-Khasawneh, A., Althunibat, A. (2020). Exploring the critical challenges and
factors influencing the e-learning system usage during Covid-19 pandemic. Education and Information Technology. 25, 5261–5280.
Bybee R., Taylor J. A., Gardner A., Van Scotter P., Carlson J., Westbrook A., Landes, N.,
(2006) The BSCS 5E instructional model: Origins and effectiveness. Colorado Springs
Capone, R., De Caterina P., Mazza G. (2017) Blended learning, flipped classroom and virtual
environment: challenges and opportunities for the 21st century students. 9th International Conference on Education and New Learning Technologies. 10478 – 10482 https://doi.org/10.21125/edulearn.2017.0985.
Dias, S. B., & Diniz, J. A. (2013). FuzzyQoI model: A fuzzy logic-based modelling of users'
quality of interaction with a learning management system under blended learning. Computer & Education, 69, 38-59
Dass, L. (2001). Exploring problems and coping mechanisms of distance learners: A Universiti
Sains Malaysia profile. Malaysian Journal of Distance Education, 3(1), 1–21.
Greener, S. (2020). Attendance and attention. Interactive Learning Environments. Taylor &
Francis Online., 28(1), 1–2. https://doi.org/10.1080/10494820.2020.1712105
Gonzalez, T., De La Rubia, M. A., Hincz, K. P., Comas-Lopez, M., Subirats, L., Fort, S., Sacha,
G. M. (2020). Influence of COVID-19 confinement on students’ performance in higher education. PLoS ONE, 15, https://doi.org/10.1371/journal.pone.0239490
Hew, K. F., Jia, C., Gonda, D. E., Bai, S. (2020). Transitioning to the “New Normal” of Learning
In Unpredictable Times: Pedagogical Practices and Learning Performance in Fully Online flipped classrooms. International Journal of Education Technology High Education 17 (57). https://doi.org/10.1186/s41239-020-00234-x
Kim, H. L., Chung-Khain, W., Nabila, E. A. B. (2022) Achieving Learning Outcomes
of Emergency Remote Learning to Sustain Higher Education during Crises: An Empirical Study of Malaysian Undergraduates. Sustainability 2022, 14, 1598. https://doi.org/10.3390/su14031598
Kember, D., McNaught, C., Chong, F. C. Y., Lam, P., & Cheng, K. F. (2010). Understanding
the ways in which design features of educational websites impact upon student learning outcomes in blended learning environments. Computers & Education, 55, 1183-1192.
Lee, G., Wallace, A. (2018). Flipped Learning in the English as a Foreign Language Classroom:
outcomes and perceptions. TESOL Quarterly. 52(1), 62 – 84
Mackall, D. D. (2004). Careers Skill Library: Problem Solving. New York: Facts on File. 121-128
Mardani, A., Zavadskas, E. K., Fujita, H., Koppen, M. (2022) Big data-driven large-scale
group decision-making under uncertainty (BiGDM-U). Applied Intelligence, 52, 13341–13344. https://doi.org/10.1007/s10489-022-04113-y
O’Flaherty, J., Phillips, C. (2015). The use of flipped classrooms in higher education: A
scoping review. Internet and Higher Education, 25, 85-95
Oriogu, C. D., Subair, R. E., Oriogu-Ogbuiyi, D. C., Ogbuiyi, S. U. (2017). Effect of Reading Habits
on the Academic Performance of Students: A Case Study of the Students of Afe Babalola University, Ado-Ekiti, Ekiti State. Teacher Education and Curriculum Studies. 2 (5), 74-80. https://doi: 10.11648/j.tecs.20170205.13
Rahman, S. F. A., Yunus, M. M., & Hashim, H. (2022). A Review on Adapted Models in Technology Acceptance. International Journal of Academic Research in Business and Social Sciences, 12(3), 708–722.
Ribqotul, A. (2020). A correlational study between reading habit and vocabulary mastery
with reading comprehension [Unpublished master’s thesis]. Universitas Widya Dharma Klaten, Java, Indonesia.
Shivacheva-Pineda, I. N. (2020) E-Learning as a Mono Technology in a Pandemic. The 15th
International Conference on Virtual Learning ICVL. 224 – 230
Tang, M., & Liao, H. (2021) From conventional group decision making to large-scale group
decision making: What are the challenges and how to meet them in big data era? A state-of-the-art survey. Omega, 100, https://doi.org/10.1016/j.omega.2019.102141
Tanglang, N., & Aminu, K. I. (2016) Decision-Making Skills and Academic Performance of
Distance Education Learners: Implications for Students Counsellors, International
Journal of Information and Education Technology, 6 (1), 44 - 49