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Direct linkPozón-López, Irma; Higueras-Castillo, Elena; Muñoz-Leiva, Francisco; Liébana-Cabanillas, Francisco J. – Journal of Computing in Higher Education, 2021
The aim of the present work is to contribute to the study of use intention for technologies related to the increasingly popular massive open online courses (MOOCs). Informed by a scientific literature review, the work proposes a behavioral model to explain use intention via various constructs. The results of the analysis verify the effect of user…
Descriptors: Large Group Instruction, Online Courses, Intention, Educational Technology
Romero-Rodriguez, Luis M.; Ramirez-Montoya, Maria Soledad; Gonzalez, Jaime Ricardo Valenzuela – IEEE Transactions on Education, 2020
Contribution: This article analyzes the correlation between users' digital competencies and their tendencies to successfully complete energy sustainability massive online open courses (MOOCs). In addition to reviewing whether digital competencies are a predictor of the effective completion of the course, this article analyzes whether participants…
Descriptors: Large Group Instruction, Online Courses, Technological Literacy, Sustainability
Wan, Liyong; Xie, Shoumei; Shu, Ai – SAGE Open, 2020
This study tries to propose a unified model integrating the unified theory of acceptance and use of technology (UTAUT) model, task-technology fit (TTF) model, and user satisfaction to investigate the determinants that affect university students' continued intention of using massive open online courses (MOOCs). Based on the data of a survey on 464…
Descriptors: Foreign Countries, College Students, Student Attitudes, Large Group Instruction
Download full textLee, 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
Pozón-López, I.; Kalinic, Zoran; Higueras-Castillo, Elena; Liébana-Cabanillas, Francisco – Interactive Learning Environments, 2020
The purpose of this study is to classify the predictors of satisfaction and intention to use in Massive Open Online Courses (MOOC). Informed by a scientific literature review, this work poses a behavioral model to explain intention to use via various constructs. To this end, the authors have carried out a study through an online survey of Spanish…
Descriptors: Online Courses, Large Group Instruction, Predictor Variables, Student Satisfaction
Canchola González, José Antonio; Glasserman-Morales, Leonardo David – Knowledge Management & E-Learning, 2020
In Mexico, there has been a rise in Massive Open Online Course (MOOC) enrollments through platforms such as MexicoX. However, this rise in interest has not been accompanied by a corresponding increase in completion rates. This article examines the factors that influence Mexican learners' retention rates and learner engagement to determine the…
Descriptors: Foreign Countries, Online Courses, Large Group Instruction, Educational Technology
Meek, Sarah E. M.; Blakemore, Louise; Marks, Leah – Assessment & Evaluation in Higher Education, 2017
Many aspects of higher education must be reconceptualised for massive open online courses (MOOCs). Formative and summative assessment of qualitative work in particular requires novel approaches to cope with the numbers involved. Peer review has been proposed as one solution, and has been widely adopted by major MOOC providers, but there is…
Descriptors: College Students, Student Evaluation, Peer Evaluation, Online Courses
Halic, Olivia; Lee, Debra; Paulus, Trena; Spence, Marsha – Internet and Higher Education, 2010
Blogs have the potential to increase reflection, sense of community and collaboration in undergraduate classrooms. Studies of their effectiveness are still limited. The purpose of this study was to investigate whether the use of blogs in a large lecture class would enhance students' perceived learning. Students in an undergraduate nutrition course…
Descriptors: Web Sites, Lecture Method, Nutrition Instruction, Reflection
Boyer, Kristy Elizabeth, Ed.; Yudelson, Michael, Ed. – International Educational Data Mining Society, 2018
The 11th International Conference on Educational Data Mining (EDM 2018) is held under the auspices of the International Educational Data Mining Society at the Templeton Landing in Buffalo, New York. This year's EDM conference was highly competitive, with 145 long and short paper submissions. Of these, 23 were accepted as full papers and 37…
Descriptors: Data Collection, Data Analysis, Computer Science Education, Program Proposals
Lynch, Collin F., Ed.; Merceron, Agathe, Ed.; Desmarais, Michel, Ed.; Nkambou, Roger, Ed. – International Educational Data Mining Society, 2019
The 12th iteration of the International Conference on Educational Data Mining (EDM 2019) is organized under the auspices of the International Educational Data Mining Society in Montreal, Canada. The theme of this year's conference is EDM in Open-Ended Domains. As EDM has matured it has increasingly been applied to open-ended and ill-defined tasks…
Descriptors: Data Collection, Data Analysis, Information Retrieval, Content Analysis
