TY - JOUR TT - SELF-REGULATION AND INTERACTIVITY TYPES AS THE PREDICTORS OF LEARNER SATISFACTION WITH FLIPPED COURSES: EVIDENCE FROM A VOCATIONAL COLLEGE AU - Cigdem, Harun AU - Ozturk, Mustafa AU - Topcu, Abdullah PY - 2016 DA - September JF - The Eurasia Proceedings of Educational and Social Sciences JO - EPESS PB - ISRES Publishing WT - DergiPark SN - 2587-1730 SP - 135 EP - 138 VL - 5 KW - Flipped course KW - interactivity KW - self-regulation KW - satisfaction N2 - Learner satisfaction, which implieslearners’ positive perceptions of their learning experiences in a particularlearning environment, is assumed to be a critical indicator of academicachievement as well as the effectiveness of a method. Flipped courses,receiving a growing interest among contemporary instructional designs, appearto be a promising pedagogical model that entails high learner satisfactionthrough a variety of features. One is related to learners’ self-management oftheir own learning processes throughout the courses. The other feature is aboutthe way learners interact with their instructors, peers and the content. A lackof appropriate educational technology would lead to limited interactivity andself-regulation, which might in turn decrease learners’ satisfaction with thecourses. In this study, we assessed the values of self-regulation andinteractivity features (the interactivity among learners, between learners andthe instructor, and between learners and the course content) as the factorsimpacting learners’ satisfaction with the flipped courses. The participants (n=243) were from a two-year vocationalcollege and took the courses Computer Use, Operating Systems, and ComputerProgramming in a flipped way in the 2015–2016 academic year. The data werecollected via an online questionnaire and analyzed through linear regressionanalyses. The general results of the study revealed that self-regulation, interactivitybetween learners and the course content and among learners were found to be thesignificant predictors of learner satisfaction with the flipped courses. On theother hand, the interactivity between learners and the instructor did notappear to effect learners’ satisfaction with the flipped courses, which couldimply the changing role of instructors in contemporary learning environments.Accordingly, the flipped courses seem to eliminate the traditional role ofinstructors (being at the center of all interactions) and bring theself-regulation along with the interactivity among learners and with the coursecontent to the front. CR - Anderson, T. (2003). Modes of interaction in distance education: Recent developments and research questions. In M. G. Moore, & W. G. Anderson (Eds.), Handbook of distance education (pp. 129–144). Mahwah, NJ: Erlbaum. Artino, A.R. (2007). Online military training: Using a social cognitive view of motivation and self-regulation to understand students' satisfaction, perceived learning, and choice. Quarterly Review of Distance Education, 8(3), 191–202. Artino, A.R. (2008). Promoting academic motivation and self-regulation: Practical guidelines for online instructors. TechTrends, 52(3), 37–45. Jain, P. J. (2011). Interactions among online learners: A quantitative interdisciplinrary study. Education, 131(3), 538–544. Jung, I., Choi, S., Lim, C., & Leem, J. (2002). Effects of different types of interaction on learning achievement, satisfaction and participation in web-based instruction. Innovations in Education & Teaching International, 39(2), 153–162. Juwah, C. (Ed.). (2006). Interactions in online learning: Implications for theory and practice. New York, NY: Routledge. Keller, J. M. (1983). Motivational design of instruction. In C. Reigeluth (Ed.), Instructional design theories and models: An overview of their current status (pp. 386-434). Hillsdale, NJ: Erlbaum. Koseke, G. F., & Koseke, R. D. (1991). Student burnout as a mediator of the stress–outcome relationship. Research in Higher Education, 32(4), 415–431. Kuo, Y. C., Walker, A., 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. The Internet and Higher Education, 20, 35-50. Moore, M. G. (1989). Three types of interactions. The American Journal of Distance Education, 3(2), 1–6. Moore, M. G., & Kearsley, G. (1996). Distance education: A systems view. New York, NY:Wadsworth. Pike, G. R. (1993). The relationship between perceived learning and satisfaction with college: An alternative view. Research in Higher Education, 34(1), 23-40. Puzziferro,M. (2008). Online technologies self-efficacy and self-regulated learning as predictors of final grade and satisfaction in college-level online courses. American Journal of Distance Education, 22(2), 72–89. UR - https://dergipark.org.tr/en/pub/epess/issue//332928 L1 - https://dergipark.org.tr/en/download/article-file/332308 ER -