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Wei, Huei-Chuan; Chou, Chien – International Review of Research in Open and Distributed Learning, 2021
This study aimed to address the teaching readiness issues of OpenCourseWare (OCW). Specifically, the research goal was to examine Taiwanese college faculty members' level of teaching readiness for OCW via a questionnaire named "Teaching Readiness Scale for OCW" (TRS-OCW). A total of 142 Taiwanese college faculty members both with and…
Descriptors: Open Education, Open Educational Resources, Online Courses, Courseware
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Lee, Daeyeoul; Watson, Sunnie Lee; Watson, William R. – International Review of Research in Open and Distributed Learning, 2020
High dropout rates have been an unsolved issue in massive open online courses (MOOCs). As perceived effectiveness predicts learner retention in MOOCs, instructional design factors that affect it have been increasingly examined. However, self-regulated learning, self-efficacy, and task value have been underestimated from the perspective of…
Descriptors: Large Group Instruction, Online Courses, Self Management, Learning Strategies
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Lee, HyunKyung; Chang, Heewon; Bryan, Lynette – International Review of Research in Open and Distributed Learning, 2020
This study examines how technological and relational factors independently and interactively predict the perceived learning success of doctoral students enrolled in online-based leadership programs offered in the United States. The 73-item Online Learning Success Scale (OLSS) was constructed, based on existing instruments, and administered online…
Descriptors: Online Courses, Doctoral Students, Leadership Training, Measures (Individuals)
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Brubacher, Michael R.; Silinda, Fortunate T. – International Review of Research in Open and Distributed Learning, 2019
Dropout rates of distance education students is a serious problem for many distance education institutions as well as their students. A psychological factor that is related to dropout is the academic persistence of students, or their intent to finish their degrees. One factor that could predict academic persistence, which is often used to identify…
Descriptors: Positive Attitudes, Predictor Variables, Academic Persistence, Distance Education
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Al-Azawei, Ahmed; Parslow, Patrick; Lundqvist, Karsten – International Review of Research in Open and Distributed Learning, 2017
Standardising learning content and teaching approaches is not considered to be the best practice in contemporary education. This approach does not differentiate learners based on their individual abilities and preferences. The present research integrates a pedagogical theory "Universal Design for Learning" ("UDL") with an…
Descriptors: Electronic Learning, Technology Integration, Information Systems, Web Sites
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Cigdem, Harun; Ozturk, Mustafa – International Review of Research in Open and Distributed Learning, 2016
There is a substantial increase in the use of learning management systems (LMSs) to support teaching and learning activities in higher education institutions. Despite their benefits, student's use them to a limited extend due to a number of factors influencing behaviors. This study executed a three-tier use model to examine the predictors of…
Descriptors: Student Behavior, Intention, Vocational Schools, Postsecondary Education