Investigating factors affecting learning satisfaction and perceived learning in flipped classrooms: the mediating effect of interaction

References

• Afthanorhan, A., Awang, Z., & Aimran, N. (2020). An extensive comparison of CB-SEM and PLS-SEM for reliability and validity. International Journal of Data and Network Science, 4, 357–364. https://doi.org/10.5267/j.ijdns.2020.9.003
   Google Scholar
• Akçayır, G., & Akçayır, M. (2018). The flipped classroom: A review of its advantages and challenges. Computers & Education, 126, 334–345. https://doi.org/10.1016/j.compedu.2018.07.021
   Web of Science ®Google Scholar
• Al-Kofahia, M. K., Hassanb, H., & Mohamad, R. (2020). Information systems success model: A review of literature. International Journal of Innovation, Creativity and Change, 12(8), 397–419.
   Google Scholar
• Anderson, J. C., & Gerbing, D. W. (1988). Structural equation modeling in practice: A review and recommended two-step approach. Psychological Bulletin, 103(3), 411–423. https://doi.org/10.1037/0033-2909.103.3.411
   Web of Science ®Google Scholar
• Bates, D., & Ludwig, G. (2020). Flipped classroom in a therapeutic modality course: Students’ perspective. Research and Practice in Technology Enhanced Learning, 15(1), Article 18. https://doi.org/10.1186/s41039-020-00139-3
   Google Scholar
• Bernard, R. M., Abrami, P. C., Borokhovski, E., Wade, C. A., Tamim, R. M., Surkes, M. A., & Bethel, E. C. (2009). A meta- analysis of three types of interaction treatments in distance education. Review of Educational Research September, 79(3), 1243–1289. https://doi.org/10.3102/0034654309333844
   Web of Science ®Google Scholar
• Bervell, B., Umar, I. N., & Kamilin, M. H. (2020). Towards a model for online learning satisfaction (MOLS): Re-considering non-linear relationships among personal innovativeness and modes of online interaction. Open Learning: The Journal of Open, Distance and e-Learning, 35(3), 236–259. https://doi.org/10.1080/02680513.2019.1662776
   Google Scholar
• Broman, K., & Johnels, D. (2019). Flipping the class - University chemistry students’ experiences from a new teaching and learning approach. Chemistry Teacher International, 1(1), Article 20180004. https://doi.org/10.1515/cti-2018-0004
   Google Scholar
• Brophy, J. (1999). Perspectives of classroom management. In H. J. Freiberg, & J. E. Brophy (Eds.), Beyond behaviorism: Changing the classroom management paradigm (pp. 43–56). Alyn & Bacon.
   Google Scholar
• Chien, L.-Y. (2018). Effects of a flipped classroom for nursing students studying biostatistics: Changes in depth of learning. Journal of Teaching Practice and Pedagogical Innovation, 1(1), 119–153. https://doi.org/10.3966/261654492018030101003
   Google Scholar
• Cho, M., Park, S. W., & Lee, S. (2021). Student characteristics and learning and teaching factors predicting affective and motivational outcomes in flipped college classrooms. Studies in Higher Education, 46(3), 509–522. https://doi.org/10.1080/03075079.2019.1643303
   Web of Science ®Google Scholar
• Chung, T. (2017). The effects of SPOC and flipped classroom on college students’ learning achievement, learning attitude and learning satisfaction [Unpublished master’s thesis]. National University of Tainan, Taiwan.
   Google Scholar
• Corte, E. D. (2004). Mainstreams and perspectives in research on learning (mathematics) from instruction. Applied Psychology, 53(2), 279–310. https://doi.org/10.1111/j.1464-0597.2004.00172.x
   Web of Science ®Google Scholar
• Costley, J., & Lange, C. H. (2017). Video lectures in e-learning: Effects of viewership and media diversity on learning, satisfaction, engagement, interest, and future behavioral intention. Interactive Technology and Smart Education, 14(1), 14–30. https://doi.org/10.1108/ITSE-08-2016-0025
   Web of Science ®Google Scholar
• Cotton, K. (1988). Monitoring student learning in the classroom (School Improvement Research Series Close-Up #4). https://educationnorthwest.org/sites/default/files/monitoring-student-learning.pdf
   Google Scholar
• DeLone, W. H., & McLean, E. R. (1992). Information systems success: The quest for the dependent variable. Information Systems Research, 3(1), 60–95. https://doi.org/10.1287/isre.3.1.60
   Web of Science ®Google Scholar
• DeLone, W. H., & McLean, E. R. (2003). The DeLone and McLean model of information systems success: A ten-year update. Journal of Management Information Systems, 19(4), 9–30. https://doi.org/10.1080/07421222.2003.11045748
   Web of Science ®Google Scholar
• Eagleton, S. (2015). An exploration of the factors that contribute to learning satisfaction of first-year anatomy and physiology students. Advances in Physiology Education, 39(3), 158–166. https://doi.org/10.1152/advan.00040.2014
   PubMed Web of Science ®Google Scholar
• Elyakim, N., Reychav, I., & McHaney, R. (2019). Perceptions of transactional distance in blended learning using location-based mobile devices. Journal of Educational Computing Research, 57(1), 131–169. https://doi.org/10.1177/0735633117746169
   Web of Science ®Google Scholar
• Eom, S. B., & Ashill, N. J. (2016). The determinants of students’ perceived learning outcomes and satisfaction in university online education: An update. Decision Sciences Journal of Innovative Education, 14(2), 185–215. https://doi.org/10.1111/dsji.12097
   Web of Science ®Google Scholar
• Eom, S. B., & Ashill, N. J. (2018). A system’s view of e-learning success model. Decision Sciences Journal of Innovative Education, 16(1), 42–76. https://doi.org/10.1111/dsji.12144
   Web of Science ®Google Scholar
• Gopalan, C., Bracey, G., Klann, M., & Schmidt, C. (2018). Embracing the flipped classroom: The planning and execution of a faculty workshop. Advances in Physiology Education, 42(4), 648–654. https://doi.org/10.1152/advan.00012.2018
   PubMed Web of Science ®Google Scholar
• Govindarajan, G. (1991). Enhancing oral communication between teachers and students. Education, 112, 183–186.
   Web of Science ®Google Scholar
• Hair, J. F., Jr., Hult, G. T. M., Ringle, C., & Sarstedt, M. (2017). A primer on partial least squares structural equation modeling. Sage.
   Google Scholar
• Hair, J. F., Jr., Sarstedt, M., Ringle, C. M., & Mena, J. A. (2012). An assessment of the use of partial least squares structural equation modeling in marketing research. Journal of the Academy of Marketing Science, 40(3), 414–433. https://doi.org/10.1007/s11747-011-0261-6
   Web of Science ®Google Scholar
• Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modelling. Journal of the Academy of Marketing Science, 43(1), 115–135. https://doi.org/10.1007/s11747-014-0403-8
   Web of Science ®Google Scholar
• Hew, K. F. (2015). Student perceptions of peer versus instructor facilitation of asynchronous online discussions: Further findings from three cases. Instructional Science, 43(1), 19–38. https://doi.org/10.1007/s11251-014-9329-2
   Web of Science ®Google Scholar
• Hirumi, A. (2002). A framework for analyzing, designing and sequencing planned e-learning. Interactions. Quarterly Review of Distance Education, 3(2), 141–160.
   Google Scholar
• Hsieh, P. J., & Cho, V. (2011). Comparing e-Learning tools’ success: The case of instructor–student interactive vs. Self-paced tools. Computers & Education, 57(3), 2025–2038. https://doi.org/10.1016/j.compedu.2011.05.002
   Web of Science ®Google Scholar
• Huang, C.-H. (2021). Using PLS-SEM model to explore the influencing factors of learning satisfaction in blended learning. Education Sciences, 11(5), 249. https://doi.org/10.3390/educsci11050249
   Web of Science ®Google Scholar
• Isaac, O., Aldholay, A., Abdullah, Z., & Ramayah, T. (2019). Online learning usage within Yemeni higher education: The role of compatibility and task-technology fit as mediating variables in the IS success model. Computers & Education, 136, 113–129. https://doi.org/10.1016/j.compedu.2019.02.012
   Web of Science ®Google Scholar
• Ishak, T., Kurniawan, R., Zainuddin, Z., & Keumala, C. M. (2020). The role of pre-class asynchronous online video lectures in flipped-class instruction: Identifying students’ perceived need satisfaction. Journal of Pedagogical Research, 4(1), 1–11. https://doi.org/10.33902/jpr.v4i1.145
   Google Scholar
• Jensen, J. L., Kummer, T. A., & Godoy, P. D. d. M. (2015). Improvements from a flipped classroom may simply be the fruits of active learning. CBE—Life Sciences Education, 14(1), 1–12. https://doi.org/10.1187/cbe.14-08-0129
   Web of Science ®Google Scholar
• Kang, M., & Im, T. (2013). Factors of learner–instructor interaction which predict perceived learning outcomes in online learning environment. Journal of Computer Assisted Learning, 29(3), 292–301. https://doi.org/10.1111/jcal.12005
   Web of Science ®Google Scholar
• Kar, D. (2020). Community-based fisheries management: A global perspective. Academic Press.
   Google Scholar
• Karaoğlan Yılmaz, F. G. (2021). An investigation into the role of course satisfaction on students’ engagement and motivation in a mobile-assisted learning management system support flipped classroom. Technology, Pedagogy and Education. Advance online publication. https://doi.org/10.1080/1475939X.2021.1940257
   Web of Science ®Google Scholar
• Kim, W. H., Ra, Y.-A., Park, J. G., & Kwon, B. (2017). Role of burnout on job level, job satisfaction, and task performance. Leadership & Organization Development Journal, 38(5), 630–645. https://doi.org/10.1108/LODJ-11-2015-0249
   Web of Science ®Google Scholar
• Klieme, E., Pauli, C., & Reusser, K. (2009). The Pythagoras study: Investigating effects of teaching and learning in Swiss and German mathematics classrooms. In T. Janik & T. Seidel (Eds.), The power of video studies in investigating teaching and learning in the classroom (pp. 137–160). Waxmann.
   Google Scholar
• Kunter, M., Baumert, J., & Köller, O. (2007). Effective classroom management and the development of subject-related interest. Learning and Instruction, 17(5), 494–509. https://doi.org/10.1016/j.learninstruc.2007.09.002
   Web of Science ®Google Scholar
• Kuo, Y.-C., Belland, B. R., Schroder, K. E., & Walker, A. E. (2014). K-12 teachers’ perceptions of and their satisfaction with interaction type in blended learning environments. Distance Education, 35(3), 360–381. https://doi.org/10.1080/01587919.2015.955265
   Web of Science ®Google Scholar
• Låg, T., & Sæle, R. G. (2019). Does the flipped classroom improve student learning and satisfaction? A systematic review and meta-analysis. AERA Open, 5(3), 1–17. https://doi.org/10.1177/2332858419870489
   PubMed Web of Science ®Google Scholar
• Lee, S. J., Lee, H., & Kim, T. T. (2018). A study on the instructor role in dealing with mixed contents: How it affects learner satisfaction and retention in e-learning. Sustainability, 10(3), Article 850. https://doi.org/10.3390/su10030850
   Web of Science ®Google Scholar
• Lin, C.-H., Zheng, B., & Zhang, Y. (2017). Interactions and learning outcomes in online language courses. British Journal of Educational Technology, 48(3), 730–748. https://doi.org/10.1111/bjet.12457
   Web of Science ®Google Scholar
• Lin, G.-Y. (2016). Effects that Facebook-based online peer assessment with micro-teaching videos can have on attitudes toward peer assessment and perceived learning from peer assessment. EURASIA Journal of Mathematics, Science and Technology Education, 12(9), 2295–2307. https://doi.org/10.12973/eurasia.2016.1280a
   Web of Science ®Google Scholar
• Lohmann, G., Pratt, M. A., Benckendorff, P., Strickland, P., Reynolds, P., & Whitelaw, P. A. (2019). Online business simulations: Authentic teamwork, learning outcomes, and satisfaction. Higher Education, 77(3), 455–472. https://doi.org/10.1007/s10734-018-0282-x
   Web of Science ®Google Scholar
• Long, T., Cummins, J., & Waugh, M. (2017). Use of the flipped classroom instructional model in higher education: Instructors’ perspectives. Journal of Computing in Higher Education, 29(2), 179–200. https://doi.org/10.1007/s12528-016-9119-8
   Web of Science ®Google Scholar
• Mason, G. S., Shuman, T. R., & Cook, K. E. (2013). Comparing the effectiveness of an inverted classroom to a traditional classroom in an upper-division engineering course. IEEE Transactions on Education, 56(4), 430–435. https://doi.org/10.1109/TE.2013.2249066
   Web of Science ®Google Scholar
• McCarthy, J. (2016). Reflections on a flipped classroom in first year higher education. Issues in Educational Research, 26(2), 332–350.
   Web of Science ®Google Scholar
• McDuff, E. (2012). Collaborative learning in an undergraduate theory course: An assessment of goals and outcomes. Teaching Sociology, 40(2), 166–176. https://doi.org/10.1177/0092055X12437968
   Web of Science ®Google Scholar
• Merlin-Knoblich, C., & Camp, A. (2018). A case study exploring students’ experiences in a flipped counseling course. Counselor Education and Supervision, 57(4), 301–316. https://doi.org/10.1002/ceas.12118
   Web of Science ®Google Scholar
• Milman, N. (2012). The flipped classroom strategy: What is it and how can it be used? Distance Learning, 9(3), 85–87.
   Google Scholar
• Moffett, J. (2015). Twelve tips for “flipping” the classroom. Medical Teacher, 37(4), 331–336. https://doi.org/10.3109/0142159X.2014.943710
   PubMed Web of Science ®Google Scholar
• Mohamed, H., & Lamia, M. (2018). Implementing flipped classroom that used an intelligent tutoring system into learning process. Computers & Education, 124, 62–76. https://doi.org/10.1016/j.compedu.2018.05.011
   Web of Science ®Google Scholar
• Moore, M. G. (1989). Editorial: Three types of interaction. American Journal of Distance Education, 3(2), 1–7. https://doi.org/10.1080/08923648909526659
   Google Scholar
• Moore, M. G. (1993). Theory of transactional distance. Theoretical Principles of Distance Education, 1, 22–38.
   Google Scholar
• Naaj, M. A., Nachouki, M., & Ankit, A. (2012). Evaluating student satisfaction with blended learning in a gender-segregated environment. Journal of Information Technology Education: Research, 11(1), 185–200. https://doi.org/10.28945/1692
   Google Scholar
• Neville, A. (1999). The problem-based learning tutor: Teacher? facilitator? evaluator? Medical Teacher, 21(4), 393–401. https://doi.org/10.1080/01421599979338
   Web of Science ®Google Scholar
• Quadir, B., Yang, J. C., & Chen, N.-S. (2019). The effects of interaction types on learning outcomes in a blog-based interactive learning environment. Interactive Learning Environments, Advance online publication. https://doi.org/10.1080/10494820.2019.1652835
   Web of Science ®Google Scholar
• Rouibah, K., Lowry, P. B., & Almutairi, L. (2015). Dimensions of business-to consumer (B2C) systems success in Kuwait: Testing a modified DeLone and McLean IS success model in an e-commerce context. Journal of Global Information Management, 23(3), 41–71. https://doi.org/10.4018/JGIM.2015070103
   Web of Science ®Google Scholar
• Salem, S. F., & Salem, S. O. (2015). Factors influencing the Learning Management System (LMS) success Among undergraduate students in Limkokwing university of creative technology, Malaysia. International Journal of Multicultural and Multireligious Understanding, 2(3), 17–26. https://doi.org/10.18415/ijmmu.v2i3.12
   Google Scholar
• Sander, P., Stevenson, K., King, M., & Coates, D. (2000). University students’ expectations of teaching. Studies in Higher Education, 25(3), 309–323. https://doi.org/10.1080/03075070050193433
   Web of Science ®Google Scholar
• Shan, H. K. (2019). The effect of flipped classrooms on self-regulated learning pre-class and in-class into junior high school first grade mathematics course [Unpublished master’s thesis]. National Tsing Hua University, Taiwan.
   Google Scholar
• Shi, Y., Ma, Y., MacLeod, J., & Yang, H. H. (2020). College students’ cognitive learning outcomes in flipped classroom instruction: A meta-analysis of the empirical literature. Journal of Computers in Education, 7(1), 79–103. https://doi.org/10.1007/s40692-019-00142-8
   Web of Science ®Google Scholar
• Strelan, P., Osborn, A., & Palmer, E. (2020a). Student satisfaction with courses and instructors in a flipped classroom: A meta-analysis. Journal of Computer Assisted Learning, 36(3), 295–314. https://doi.org/10.1111/jcal.12421
   Web of Science ®Google Scholar
• Strelan, P., Osborn, A., & Palmer, E. (2020b). The flipped classroom: A meta-analysis of effects of student performance across disciplines and education levels. Educational Research Review, 30, Article 30314. https://doi.org/10.1016/j.edurev.2020.100314
   Web of Science ®Google Scholar
• Sun, M. Y., Shih, W.-Y., & Wang, C.-H. (2007). The relationship between personalities of junior high-school students and teacher-student interaction. The Archive of Guidance & Counseling, 29(2), 51–72. https://doi.org/10.7040/JGC.200711.0051
   Google Scholar
• Sun, Z., Xie, K., & Anderman, L. H. (2018). The role of self-regulated learning in students’ success in flipped undergraduate math courses. The Internet and Higher Education, 36, 41–53. https://doi.org/10.1016/j.iheduc.2017.09.003
   Web of Science ®Google Scholar
• van Alten, D. C. D., Phielix, C., Janssen, J., & Kester, L. (2019). Effects of flipping the classroom on learning outcomes and satisfaction: A meta-analysis. Educational Research Review, 28, Article 100281. https://doi.org/10.1016/j.edurev.2019.05.003
   Web of Science ®Google Scholar
• Wagner, E. D. (1994). In support of a functional definition of interaction. American Journal of Distance Education, 8(2), 6–29. https://doi.org/10.1080/08923649409526852
   Google Scholar
• Wagner, E. D. (1997). Interactivity: From agents to outcomes. New Directions for Teaching and Learning, 1997(71), 19–26. https://doi.org/10.1002/tl.7103
   Google Scholar
• Wang, T. (2017). Overcoming barriers to ’flip’: Building teacher's capacity for the adoption of flipped classroom in Hong Kong secondary schools. Research and Practice in Technology Enhanced Learning, 12(1), 6–17. https://doi.org/10.1186/s41039-017-0047-7
   PubMedGoogle Scholar
• Wang, X., & Mu, J. (2017). Flexible scripting to facilitate knowledge construction in computer-supported collaborative learning. Springer.
   Google Scholar
• Wang, Y., Huang, X., Schunn, C. D., Zou, Y., & Ai, W. (2019). Redesigning flipped classrooms: A learning model and its effects on student perceptions. Higher Education, 78(4), 711–728. https://doi.org/10.1007/s10734-019-00366-8
   Web of Science ®Google Scholar
• Wang, Y.-D. (2014). Building trust in e-learning. Athens Journal of Education, 1(1), 9–18. https://doi.org/10.30958/aje.1-1-1
   Google Scholar
• Wang, Y.-S., Li, H.-T., Li, C.-R., & Wang, C. (2014). A model for assessing blog-based learning systems success. Online Information Review, 38(7), 969–990. https://doi.org/10.1108/OIR-04-2014-0097
   Web of Science ®Google Scholar
• Wang, Y.-S., Lin, S.-J., Li, C.-R., Tseng, T.-H., Li, H.-T., & Lee, J. (2018). Developing and validating a physical product e-tailing systems success model. Information Technology and Management, 19(4), 245–257. https://doi.org/10.1007/s10799-017-0286-8
   Web of Science ®Google Scholar
• Wang, Y.-S., Tseng, T.-H., Wang, W.-T., Shih, Y.-W., & Chan, P.-W. (2019). Developing and validating a mobile catering app success model. International Journal of Hospitality Management, 77, 19–30. https://doi.org/10.1016/j.ijhm.2018.06.002
   Web of Science ®Google Scholar
• Wang, Y.-U., Wang, Y.-S., Lin, H.-H., & Tsai, T.-H. (2019). Developing and validating a model for assessing paid mobile learning app success. Interactive Learning Environments, 27(4), 458–477. https://doi.org/10.1080/10494820.2018.1484773
   Web of Science ®Google Scholar
• Weinert, F. E., & Helmke, A. (1995). Learning from wise mother nature or big brother instructor: The wrong choice as seen from an educational perspective. Educational Psychologist, 30(3), 135–142. https://doi.org/10.1207/s15326985ep3003_4
   Web of Science ®Google Scholar
• Wu, Y.-L. (2020). A study among learning motivation and leadership style to learning performance: A case of students in Tainan Municipal Anping junior high school [Unpublished master’s thesis]. Kao Yuan University, Taiwan.
   Google Scholar
• Wu, Y.-R. (2011). Effects of learning styles and class participation on civil servants blended learning outcomes [Unpublished master’s thesis]. National Taiwan University of Science and Technology, Taiwan.
   Google Scholar
• Xiao, J. (2017). Learner-content interaction in distance education: The weakest link in interaction research. Distance Education, 38(1), 123–135. https://doi.org/10.1080/01587919.2017.1298982
   Web of Science ®Google Scholar
• Yang, M., Shao, Z., Liu, Q., & Liu, C. (2017). Understanding the quality factors that influence the continuance intention of students toward participation in MOOCs. Educational Technology Research and Development, 65(5), 1195–1214. https://doi.org/10.1007/s11423-017-9513-6
   Web of Science ®Google Scholar
• Yılmaz, A. B., & Karataş, S. (2017). Development and validation of perceptions of online interaction scale. Interactive Learning Environments, 26(3), 337–354. https://doi.org/10.1080/10494820.2017.1333009
   Web of Science ®Google Scholar
• Zhai, X., Gu, J., Liu, H., Liang, J.-C., & Tsai, C.-C. (2017). An experiential learning perspective on students’ satisfaction model in a flipped classroom context. Educational Technology & Society, 20(1), 198–210.
   Web of Science ®Google Scholar