Alqurashi, E. (2019). Predicting student satisfaction and perceived learning within online learning environments. Distance Education, 40(1), 133–148.
Article
Google Scholar
Anderson, M. A. (2009). Asynchronous discussion forums: Success factors, outcomes, assessments, and limitations. Educational Technology and Society, 12(1), 249–257.
Google Scholar
Baber, H. (2020). Determinants of students’ perceived learning outcome and satisfaction in online learning during the pandemic of COVID19. Journal of Education and e-Learning Research, 7(3), 285–292.
Article
Google Scholar
Baber, H. (2021). Social interaction and effectiveness of the online learning: A moderating role of maintaining social distance during the pandemic COVID-19. Asian Education and Development Studies. https://doi.org/10.1108/AEDS-09-2020-0209
Article
Google Scholar
Breno, F. T., Patricia, A. B., & Eliseo, B. R. (2011). Qualitative analysis of discussion forums. International Journal of Computer Information Systems and Industrial Management Applications, 3, 671–678.
Google Scholar
Chen, K. C., & Jang, S. J. (2010). Motivation in online learning: Testing a model of self-determination theory. Computers in Human Behavior, 26(4), 741–752. https://doi.org/10.1016/j.chb.2010.01.011
Article
Google Scholar
Chiu, T. K., Lin, T.-J., & Lonka, K. (2021). Motivating online learning: The challenges of COVID-19 and beyond. Asia-Pacific Educational Researcher, 30, 187–190. https://doi.org/10.1007/s40299-021-00566-w
Article
Google Scholar
Conole, G., & Dyke, M. (2004). Understanding and using technological affordances: A response to Boyle and Cook. Research in Learning Technology, 12(3), 295–299. https://doi.org/10.1080/0968776042000259591
Article
Google Scholar
Czerkawski, B. C., & Lyman, E. W. (2016). An instructional design framework for fostering student engagement in online learning environments. Tech Trends, 60, 532–539.
Article
Google Scholar
Dixson, M. D. (2010). Creating effective student engagement in online courses: What do students find engaging? Journal of the Scholarship of Teaching and Learning, 10(2), 1–13.
Google Scholar
Ertmer, P. (2005). Teacher pedagogical beliefs: The final frontier in our quest for technology integration? Educational Technology Research and Development, 53(4), 25–39.
Article
Google Scholar
Gameel, B. G. (2017). Learner satisfaction with massive open online courses. American Journal of Distance Education, 31, 98–111. https://doi.org/10.1080/08923647.2017.1300462
Article
Google Scholar
Garrison, D., Cleveland-Innes, M., & Fung, T. S. (2010). Exploring causal relationships among teaching, cognitive and social presence: Student perceptions of the community of inquiry framework. Internet and Higher Education, 13(1–2), 31–36.
Article
Google Scholar
Gerber, S., Scott, L., Clements, D. H., & Sarama, J. (2005). Instructor influence on reasoned argument in discussion boards. Educational Technology Research and Development, 53(2), 25–39.
Article
Google Scholar
Graesser, A. C., Rus, V., & Cai, Z. (2008). Question classification schemes. Workshop on the question generation shared task and evaluation challenge. NSF.
Hodges, C., Moore, S., Lockee, B., Trust, T., & Bond, A. (2020). The difference between emergency remote teaching and online learning. Educause Review, 3. https://er.educause.edu/articles/2020/3/the-difference-between-emergency-remoteteaching-and-online-learning
Jenna, K., & Gillett-Swan. (2017). The challenges of online learning: Supporting and engaging the isolated learner. Journal of Learning Design, 10(1), 20–30.
Article
Google Scholar
Jensen, M., & Scharff, L. (2014). Using e-book annotations to develop deep reading. Journal of Teaching and Learning with Technology, 3(2), 83–86.
Article
Google Scholar
Kannan, V., & Gouripeddi, S. P. (2019). Contextualising the learner-centric MOOCs model for effective blending of flipped-classroom method in engineering physics course. In Proceedings of tenth IEEE international conference on technology for education (T4E2019). Goa, India. https://doi.org/10.1109/T4E.2019.00-51
Kannan, V., Warriem, J., Majumdar, R., & Ogata, H. (2020a). Learning dialogues orchestrated with BookRoll: A case study of undergraduate physics class during COVID-19 lockdown. In H. J. So, et al. (Eds.), Proceedings of the 28th international conference on computers in education. Asia Pacific Society for Computers in Education. https://apsce.net/icce/icce2020/index.html@p=2159.html
Kannan, V. K., Kuromiya, H., Gouripeddi, S. P., Majumdar, R., Warriem, J. M., & Ogata, H. (2020b). Flip & pair: A strategy to augment a blended course with active-learning components—Effects on engagement and learning. Smart Learning Environments, 7(34), 1–33.
Google Scholar
Kebritchi, M., Lipschuetz, A., & Santiague, L. (2017). Issues and challenges for teaching successful online courses in higher education: A literature review. Journal of Educational Technology Systems, 46(1), 4–29.
Article
Google Scholar
Keengwe, J., & Kidd, T. T. (2010). Towards best practices in online learning and teaching in higher education MERLOT. Journal of Online Learning and Teaching, 6(2), 533–541.
Google Scholar
Kopcha, T. J., Neumann, K. L., Ottenbreit-Leftwich, A., & Pitman, E. (2020). Process over product: The next evolution of our quest for technology integration. Educational Technology Research and Development, 68, 729–749.
Article
Google Scholar
Kuo, Y. C., Walker, A. E., Schroder, K. E. E., & Belland, B. R. (2014). Interaction, internet self-efficacy, and self-regulated learning as predictors of student satisfaction in online education courses. Internet and Higher Education, 20, 35–50.
Article
Google Scholar
Kuromiya, H., Majumdar, R., & Miyabe, G., Ogata, H. (2022). E-book-based learning activity during COVID-19: engagement behaviors and perceptions of Japanese junior-high school students. Research and Practice in Technology Enhanced Learning, 17(1). https://doi.org/10.1186/s41039-022-00184-0
Lazarus, M. O. (2021). Students’ self-efficacy and challenges to virtual classes: A conceptual integrated model of Rongo University-Kenya during COVID-19 pandemic. International Journal of Applied Psychology, 11(3), 61–71.
Google Scholar
Li, Y., Dong, M., & Huang, R. (2009). Toward a semantic forum for active collaborative learning. Educational Technology & Society, 12(4), 71–86.
Google Scholar
Lin, S.-Y., Aiken, J. M., Seaton, D. T., Douglas, S. S., Greco, E. F., Thoms, B. D., & Schatz, M. F. (2017). Exploring physics students’ engagement with online instructional videos in an introductory mechanics course. Physical Review Physics Education Research, 13, 020138-1-020138–18.
Article
Google Scholar
Long, S., Ma, L., Anbareen, J., Hamid, S. N., & Pardis, R. (2021). Online learning satisfaction during COVID-19 pandemic among Chinese University students: The serial mediation model. Frontiers in Psychology, 12, 743936.
Article
Google Scholar
Losier, G. F., Perreault, S., Koestner, R., & Vallerand, R. J. (2001). Examining individual differences in the internalization of political values: Validation of the self-determination scale of political motivation. Journal of Research in Personality, 35(1), 41–61.
Article
Google Scholar
Majumdar, R., & Iyer, S. (2016). iSAT: a visual learning analytics tool for instructors. Research and Practice in Technology Enhanced Learning, 11(1). https://doi.org/10.1186/s41039-016-0043-3.
Majumdar, R., Akçapınar, A., Akçapınar, G., Flanagan, B., & Ogata, H. (2019). Learning analytics dashboard widgets to author teaching-learning cases for evidence-based education. In 9th international learning analytics and knowledge (LAK) conference Tempe, AZ
Majumdar, R., Flanagan, B., & Ogata, H. (2021). eBook Technology Facilitating University Education During COVID-19: Japanese Experience. Canadian Journal of Learning and Technology, 47(4).https://doi.org/10.21432/cjlt28038.
Means, B., Toyama, Y., Murphy, R., Bakia, M., & & Jones, K. (2009). Evaluation of evidence-based practices in online learning: A meta-analysis and review of online learning studies. Washington D.C.
Mishra, S., & Sridhar, I. (2015). An exploration of problem posing-based activities as an assessment tool and as an instructional strategy. Research and Practice in Technology, 10(5), 1–19.
Google Scholar
Murthy, S., Warriem, J., Sahasrabudhe, S., & Iyer, S. (2018). LCM: A model for planning, designing and conducting learner-centric MOOCs. In Proceedings of 9th IEEE international conference on technology for education (T4E2019), Chennai, India.
Ogata, H., Yin, C., Oi, M., Okubo, F., Shimada, A., Kojima, K., & Yamada, M. (2015). E-book-based learning analytics in University Education. In Proceedings of the 23rd international conference on computers in education ICCE 2015: Main proceedings. Asia-Pacific Society for Computers in Education.
Ogata, H., Majumdar, R., Gokhan, A., Nehal, M. H., & Brendan, F. (2018). Beyond learning analytics: Framework for technology-enhanced evidence-based education and learning. In Y.-T. Wu, et al. (Eds.), 26th international conference on computers in education (ICCE2018), Philippines: Asia-Pacific Society for Computers in Education.
Oliver, M., MacBean, J., Conole, G., & Harvey, J. (2002). Using a toolkit to support the evaluation of learning. Journal of Computer Assisted Learning, 18(2), 199–208.
Article
Google Scholar
Pomerantz, J., & Brooks, C. D. (2017). ECAR study of faculty and information technology, Research Report. Retrieved from https://www.educause.edu/ecar/research-publications/ecar-study-of-faculty-and-information-technology/2017/introduction-and-key-findings
Schmidt, S. W., Tschida, C. M., & Hodge, E. M. (2016). How faculty learn to teach online: What administrators need to know. Online Journal of Distance Learning Administration. Retrieved from http://www.westga.edu/~distance/ojdla/spring191/schmidt_tschida_hodge191.html
Schön, D. A. (1987). Educating the reflective practitioner: Toward a new design for teaching and learning in the profession. Jossey-Bass.
Google Scholar
Shah, V., Murthy, S., Warriem, J., Sahasrabudhe, S., Banerjee, G., & Iyer, S. (2022). Learner-centric MOOC model: A pedagogical design model towards active learner participation and higher completion rates. Education Technology Research and Development. https://doi.org/10.1007/s11423-022-10081-4
Article
Google Scholar
Shieh, R., Gummer, E., & Niess, M. (2008). The quality of a web-based course: Perspectives of the instructor and the students. Tech Trends, 52(6), 61–68.
Article
Google Scholar
Shimada, A., Konomi, S., & Ogata, H. (2018). Real-time learning analytics system for improvement of on-site lectures. Interactive Technology and Smart Education, 15(4), 314–331.
Article
Google Scholar
Vera, F., Berumen, D., Rodriguez, J., & Stute, C. (2020). COVID-19 student survey: Online learning experiences and challenges experienced related to the COVID-19 pandemic. Mt San Antonio College.
Google Scholar
Whipp, J., & Lorentz, E. R. (2009). Cognitive and social help giving in online teaching: An exploratory study. Educational Technology Research and Development, 57, 169–192.
Article
Google Scholar
Wilcox, B. R., & Michael, V. (2020). Understanding the student experience with emergency remote teaching. In S. Wolf, B. Bennett, & Brian W. Frank (Eds), 2020 PERC proceedings (pp. 581–586). American Association of Physics Teachers. https://doi.org/10.1119/perc.2020.pr.Wilcox
Zhang, T., Michelle, T., & Chen, Z. (2021), Measuring the impact of COVID-19 induced campus closure on student self-regulated learning in physics online learning modules, LAK21, April 12–16, Irvine, CA, USA. https://doi.org/10.1145/3448139.3448150