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Shea E. Carr; Thad E. Wilson; Stacey A. Slone; Leila W. Karanja; Jennifer L. Osterhage – Advances in Physiology Education, 2024
With the rise of online instruction, a better understanding of the factors that contribute to belonging and motivation in these contexts is essential to creating optimal learning environments. Although group work is known to be beneficial to student success, few studies have investigated its role in the context of asynchronous online courses. The…
Descriptors: Online Courses, Group Activities, Student Motivation, Cooperative Learning
Junus, Kasiyah; Suhartanto, Heru; R-Suradijono, Sri Hartati; Santoso, Harry Budi; Sadita, Lia – Journal of Educators Online, 2019
An online discussion forum has the potential to facilitate collaborative learning that improves students' critical thinking. To explain the collaborative online learning experience, the Community of Inquiry (CoI) model has been proposed by a group of researchers. The model captures an in-depth and meaningful collaborative online learning process…
Descriptors: Learning Strategies, Metacognition, Cooperative Learning, Critical Thinking
Amara, Sofiane; Macedo, Joaquim; Bendella, Fatima; Santos, Alexandre – Educational Technology & Society, 2016
Learners are becoming increasingly divers. They may have much personal, social, cultural, psychological, and cognitive diversity. Forming suitable learning groups represents, therefore, a hard and time-consuming task. In Mobile Computer Supported Collaborative Learning (MCSCL) environments, this task is more difficult. Instructors need to consider…
Descriptors: Cooperative Learning, Electronic Learning, Handheld Devices, Computer Uses in Education
Kuo, Yu-Chun; Belland, Brian R.; Schroder, Kerstin E. E.; Walker, Andrew E. – Distance Education, 2014
Blended learning is an effective approach to instruction that combines features of face-to-face learning and computer-mediated learning. This study investigated the relationship between student perceptions of three types of interaction and blended learning course satisfaction. The participants included K-12 teachers enrolled in a graduate-level…
Descriptors: Blended Learning, Interaction, Educational Technology, Satisfaction
Weerasinghe, Thushani Alwis; Ramberg, Robert; Hewagamage, Kamalanath Priyantha – Journal of Distance Education, 2012
This paper discusses findings of a study investigating how students, in four online courses, engaged in inquiry-based learning with and without support from a facilitator. The investigation was conducted by analyzing discussions of the online courses using the community of inquiry model. The results of the study imply that students in online…
Descriptors: Foreign Countries, Active Learning, Online Courses, Inquiry
Arvaja, Maarit – International Journal of Computer-Supported Collaborative Learning, 2007
This paper presents a methodology designed to explore the role of context in collaborative knowledge construction activity in asynchronous web-based discussion. The discussions of two student groups participating in a web-based teacher education course were compared. The comparison aimed to highlight the differences and similarities between the…
Descriptors: Education Courses, Cooperative Learning, Evaluation Methods, Internet
Kouwenhoven, Wim, Ed. – InTech, 2009
From 3rd to 5th March 2008 the International Association of Technology, Education and Development organised its International Technology, Education and Development Conference in Valencia, Spain. Over a hundred papers were presented by participants from a great variety of countries. Summarising, this book provides a kaleidoscopic view of work that…
Descriptors: Foreign Countries, Higher Education, Educational Technology, Professional Training
Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection