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Showing 1 to 15 of 29 results Save | Export
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Clemente Rodríguez-Sabiote; Ana T. Valerio-Peña; Roberto A. Batista-Almonte; Álvaro M. Úbeda-Sánchez – International Review of Research in Open and Distributed Learning, 2024
The global pandemic caused by the SARS-CoV-2 virus brought about a true revolution in the predominant teaching-learning processes (i.e., face-to-face environment) that had been implemented up to that point. In this regard, virtual teaching-learning environments (VTLEs) have gained unprecedented significance. The main objectives of our research…
Descriptors: Electronic Learning, College Students, Online Courses, Models
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Odiel Estrada-Molina; Juanjo Mena; Alexander López-Padrón – International Review of Research in Open and Distributed Learning, 2024
No records of systematic reviews focused on deep learning in open learning have been found, although there has been some focus on other areas of machine learning. Through a systematic review, this study aimed to determine the trends, applied computational techniques, and areas of educational use of deep learning in open learning. The PRISMA…
Descriptors: Artificial Intelligence, Intelligent Tutoring Systems, Open Education, Educational Trends
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Zhang, Qing; Bonafini, Fernanda Cesar; Lockee, Barbara B.; Jablokow, Kathryn W.; Hu, Xiaoyong – International Review of Research in Open and Distributed Learning, 2019
This paper investigates the degree to which different variables affect the completion of a Massive Open Online Course (MOOC). Data on those variables, such as age, gender, English proficiency, education level, and motivation for course enrollment were first collected through a pre-course survey. Next, course completion records were collected via…
Descriptors: Demography, Student Motivation, Predictor Variables, Online Courses
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Cagiltay, Nergiz Ercil; Cagiltay, Kursat; Celik, Berkan – International Review of Research in Open and Distributed Learning, 2020
Massive Open Online Courses (MOOCs), capable of providing free (or low cost) courses for millions of learners anytime and anywhere, have gained the attention of researchers, educational institutions, and learners worldwide. Even though they provide several benefits, there are still some criticisms of MOOCs. For instance, MOOCs' high dropout rates…
Descriptors: Large Group Instruction, Online Courses, Educational Technology, Student Characteristics
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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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Brubacher, Michael R.; Silinda, Fortunate T. – International Review of Research in Open and Distributed Learning, 2021
Distance education students have less access to classmates as a social resource and may, therefore, rely more on family members for support. However, first-generation students, or students who are the first in their family to attend university, may lack the academic resources that family members can provide. Overall, first-generation students in…
Descriptors: First Generation College Students, Distance Education, Social Capital, At Risk Students
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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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Lei, Jun; Lin, Teng – International Review of Research in Open and Distributed Learning, 2022
This study investigated the effects of interactional, motivational, self-regulatory, and situational factors on university students' online learning outcomes and continuation intentions during the COVID-19 pandemic. Data were collected from 255 students taking a business course at a university in southern China. Hierarchical multiple regression…
Descriptors: COVID-19, Pandemics, School Closing, Online Courses
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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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Williams, Peter E.; Wall, Natalie; Fish, Wade W. – International Review of Research in Open and Distributed Learning, 2019
Adult professionals enroll in online graduate programs and rely on social support and on their ability to self-regulate to be successful. The literature on academic self-regulation among emerging adults (traditional college age) is ample, but we do not know how social support interacts with academic self-regulation among adult graduate students at…
Descriptors: Adult Students, Social Support Groups, Doctoral Programs, Online Courses
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Neroni, Joyce; Meijs, Celeste; Leontjevas, Ruslan; Kirschner, Paul A.; de Groot, Renate H. M. – International Review of Research in Open and Distributed Learning, 2018
Research has shown the importance of goal orientation in predicting academic performance for children, adolescents, and college students in traditional educational settings. Studies on this relationship within adult distance education, however, are lacking. To fill this gap, the present study was conducted to investigate the relationship between…
Descriptors: Goal Orientation, Academic Achievement, Distance Education, Adult Education
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Shea, Peter; Bidjerano, Temi – International Review of Research in Open and Distributed Learning, 2018
Recent research indicates that certain students are at risk of lower levels of academic performance in online settings when compared to peers who study only in the classroom. Community college students have been a population of particular concern. In this paper, we hypothesize that online course load and institutional quality may impact outcomes…
Descriptors: Online Courses, Enrollment, Community Colleges, Graduation
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Bardakci, Salih – International Review of Research in Open and Distributed Learning, 2019
YouTube is one of the most prevalent social media sites across the globe. However, there is a lack of research on factors influencing educational use of YouTube. This study examines high school students' educational use of YouTube with unified theory of acceptance and use of technology (UTAUT). Using structural equation modeling, the proposed…
Descriptors: High School Students, Student Attitudes, Technology Uses in Education, Web Sites
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Luik, Piret; Taimalu, Merle – International Review of Research in Open and Distributed Learning, 2016
The blog as a type of social software has been used in education for several years, and its positive effect in the field has been asserted in many studies. This study presents the factors of participants and blogs that predict blogging activeness during teaching practice and induction year. During the teaching practice and induction year all…
Descriptors: Electronic Publishing, Questionnaires, Multiple Regression Analysis, Predictor Variables
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