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Direct linkMoreno-Marcos, Pedro Manuel; Alario-Hoyos, Carlos; Munoz-Merino, Pedro J.; Estevez-Ayres, Iria; Kloos, Carlos Delgado – IEEE Transactions on Learning Technologies, 2019
One of the characteristics of massive open online courses (MOOCs) is that the overall number of social interactions tend to be higher than in traditional courses, hindering the analysis of social learning. Learners typically ask or answer questions using the forum. This makes messages a rich source of information, which can be used to infer…
Descriptors: Large Group Instruction, Online Courses, Educational Technology, Technology Uses in Education
Download full textHew, Khe Foon; Qiao, Chen; Tang, Ying – International Review of Research in Open and Distributed Learning, 2018
Although massive open online courses (MOOCs) have attracted much worldwide attention, scholars still understand little about the specific elements that students find engaging in these large open courses. This study offers a new original contribution by using a machine learning classifier to analyze 24,612 reflective sentences posted by 5,884…
Descriptors: Learner Engagement, Large Group Instruction, Online Courses, Man Machine Systems
Almatrafi, Omaima – ProQuest LLC, 2018
A Massive Open Online Course (MOOC) is a course that is offered fully online and is usually open for enrollment by any individual, with no limit on the number of participants. MOOCs are a popular resource for learning worldwide with over 23 million new learners registering for MOOCs in 2017 alone. Coursera, the most popular MOOC platform, has…
Descriptors: Large Group Instruction, Online Courses, Educational Technology, Technology Uses in Education
Alturkistani, Abrar; Car, Josip; Majeed, Azeem; Brindley, David; Wells, Glenn; Meinert, Edward – International Association for Development of the Information Society, 2018
Massive Open Online Courses (MOOCs) are widely used to deliver specialized education and training in different fields. Determining the effectiveness of these courses is an integral part of delivering comprehensive, high-quality learning. This study is an evaluation of a MOOC offered by Imperial College London in collaboration with Health iQ…
Descriptors: Large Group Instruction, Online Courses, Educational Technology, Technology Uses in Education
Ayeni, Olapade Grace; Olowe, Modupe Oluwatoyin – Journal of Education and Practice, 2016
Large class size is one of the problems in the educational sector that developing nations have been grappling with. Nigeria as a developing nation is no exception. The purpose of this study is to provide views of both lecturers and students on large class size and how it affects teaching and learning in tertiary institutions in Ekiti State of…
Descriptors: Foreign Countries, Class Size, Large Group Instruction, Postsecondary Education
Winkelmes, Mary-Ann – Liberal Education, 2013
The Illinois Initiative on Transparency in Learning and Teaching is a grassroots assessment project designed to promote students' conscious understanding of how they learn and to enable faculty to gather, share, and promptly benefit from data about students' learning by coordinating their efforts across disciplines, institutions, and countries.…
Descriptors: State Programs, Learning Processes, College Students, Educational Practices
Nunes, Miguel Baptista, Ed.; Isaias, Pedro, Ed. – International Association for Development of the Information Society, 2018
These proceedings contain the papers of the International Conference e-Learning 2018, which was organised by the International Association for Development of the Information Society, 17-19 July, 2018. This conference is part of the Multi Conference on Computer Science and Information Systems 2018, 17-20 July, which had a total of 617 submissions.…
Descriptors: Electronic Learning, Educational Technology, Online Courses, Educational Environment
Simonson, Michael, Ed.; Seepersaud, Deborah, Ed. – Association for Educational Communications and Technology, 2019
For the forty-second time, the Association for Educational Communications and Technology (AECT) is sponsoring the publication of these Proceedings. Papers published in this volume were presented at the annual AECT Convention in Las Vegas, Nevada. The Proceedings of AECT's Convention are published in two volumes. Volume 1 contains 37 papers dealing…
Descriptors: Educational Technology, Technology Uses in Education, Research and Development, Elementary Education
Rafferty, Anna N., Ed.; Whitehill, Jacob, Ed.; Romero, Cristobal, Ed.; Cavalli-Sforza, Violetta, Ed. – International Educational Data Mining Society, 2020
The 13th iteration of the International Conference on Educational Data Mining (EDM 2020) was originally arranged to take place in Ifrane, Morocco. Due to the SARS-CoV-2 (coronavirus) epidemic, EDM 2020, as well as most other academic conferences in 2020, had to be changed to a purely online format. To facilitate efficient transmission of…
Descriptors: Educational Improvement, Teaching Methods, Information Retrieval, Data Processing
Sampson, Demetrios G., Ed.; Spector, J. Michael, Ed.; Ifenthaler, Dirk, Ed.; Isaías, Pedro, Ed. – International Association for Development of the Information Society, 2017
These proceedings contain the papers of the 14th International Conference on Cognition and Exploratory Learning in the Digital Age (CELDA 2017), 18-20 October 2017, which has been organized by the International Association for Development of the Information Society (IADIS) and endorsed by the Japanese Society for Information and Systems in…
Descriptors: Conference Papers, Student Journals, Diaries, Self Management
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
Nunes, Miguel Baptista, Ed.; McPherson, Maggie, Ed. – International Association for Development of the Information Society, 2015
These proceedings contain the papers of the International Conference e-Learning 2015, which was organised by the International Association for Development of the Information and Society and is part of the Multi Conference on Computer Science and Information Systems (Las Palmas de Gran Canaria, Spain, July 21-24, 2015). The e-Learning 2015…
Descriptors: Conference Papers, Failure, Electronic Learning, Success
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
Sampson, Demetrios G., Ed.; Spector, J. Michael, Ed.; Ifenthaler, Dirk, Ed.; Isaias, Pedro, Ed. – International Association for Development of the Information Society, 2014
These proceedings contain the papers of the 11th International Conference on Cognition and Exploratory Learning in the Digital Age (CELDA 2014), October 25-27, 2014, which has been organized by the International Association for Development of the Information Society (IADIS) and endorsed by the Japanese Society for Information and Systems in…
Descriptors: Conference Papers, Teaching Methods, Technological Literacy, Technology Uses in Education
Craig, Eleanor D.; And Others – 1977
The paper discusses an experiment in which regression analysis was used to examine predictors of information retention following a college economics course. It was hypothesized that students taught in small classes with self-instructional materials would place a higher value on basic economic concepts and retain these concepts longer than students…
Descriptors: Achievement Rating, Class Size, Cognitive Measurement, Comparative Analysis
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