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Garbrick, Amy H. – ProQuest LLC, 2018
This iterative study examined factors that influence student engagement in an online asynchronous discussion forum (DF), which is a standard feature of most learning management systems (LMSs) and thus of most online courses at the university level. DFs are a principle way to enable online participation and interaction on a student-to-student and…
Descriptors: Learner Engagement, Online Courses, Asynchronous Communication, Group Discussion
Tirado-Morueta, Ramón; Maraver-López, Pablo; Pérez-Rodríguez, Amor; Hernando-Gómez, Ángel – Journal of Educational Computing Research, 2020
There are few studies devoted to analyze the relationships between the structure of the social network and performance in the online learning process as group. In this study, the Community of Inquiry (CoI) model is used as an analytical framework, along with quantitative content analysis and social network analysis, in order to identify the effect…
Descriptors: Social Networks, Inquiry, Educational Technology, Technology Uses in Education
Koulocheri, Eleni; Xenos, Michalis – International Journal of Web-Based Learning and Teaching Technologies, 2019
Social networks have undoubtedly penetrated into our daily life, in such a degree that educational life could not avoid this effect, as proven by the many education-oriented social networks that have emerged. The education-oriented social network environment named HOU2LEARN, used by the Hellenic Open University, is one of these networks, providing…
Descriptors: Foreign Countries, Social Networks, Open Universities, College Students
Javadi, Elahe; Gebauer, Judith; Novotny, Nancy L. – Information Systems Education Journal, 2017
Online discussions enable peer-learning by allowing students to communicate ideas on what they have learned in and beyond the classroom. Peer-learning through online discussions is fostered when online discussions are interactive. Interactivity occurs when students refer to and use perspectives shared by peers, and elaborate, respond to, or…
Descriptors: Interaction, Asynchronous Communication, Peer Influence, Group Discussion
Lai, Chih-Hung; Lin, Hung-Wei; Lin, Rong-Mu; Tho, Pham Duc – International Journal of Distance Education Technologies, 2019
This article explores whether a learning community can affect students' learning achievement and engagement. Besides, this study also analyzed whether degree centralities of peer interaction affect learning achievement and learning engagement based on social network analysis. While the experimental group combined the English learning system with…
Descriptors: Foreign Countries, Peer Relationship, Peer Influence, Online Courses
Luhrs, Cecilia; McAnally-Salas, Lewis – Journal of Interactive Online Learning, 2016
Computer Supported Collaborative Learning literature relates high levels of collaboration to enhanced learning outcomes. However, an agreement on what is considered a high level of collaboration is unclear, especially if a qualitative approach is taken. This study describes how methods of Social Network Analysis were used to design a collaboration…
Descriptors: Cooperative Learning, Electronic Learning, Blended Learning, Online Courses
Lambropoulos, Niki; Faulkner, Xristine; Culwin, Fintan – British Journal of Educational Technology, 2012
In the last decade, we have seen the emergence of virtual learning environments. Initially, these environments were a little more than document repositories that tutor used unicast to the students. Informed in part by social constructivist theories of education, later environments included capabilities for tutor-student and student-student,…
Descriptors: Teacher Student Relationship, Peer Relationship, Teacher Role, Social Environment
Tirado, Ramon; Aguaded, Ignacio; Hernando, Angel – Online Submission, 2011
This article analyses an experience in collaborative learning in an asynchronous writing environment through discussion forums on a WebCt platform of the University of Huelva's virtual campus, and was part of an innovative teaching project in 2007-08. The main objectives are to describe the processes of collaborative knowledge construction and the…
Descriptors: Foreign Countries, Asynchronous Communication, Computer Mediated Communication, Discussion
Buckingham Shum, Simon; Ferguson, Rebecca – Educational Technology & Society, 2012
We propose that the design and implementation of effective "Social Learning Analytics (SLA)" present significant challenges and opportunities for both research and enterprise, in three important respects. The first is that the learning landscape is extraordinarily turbulent at present, in no small part due to technological drivers.…
Descriptors: Foreign Countries, Computer Uses in Education, Social Networks, Web 2.0 Technologies
Casquero, Oskar; Portillo, Javier; Ovelar, Ramon; Romo, Jesus; Benito, Manuel – Digital Education Review, 2010
The institutionally powered Personal Learning Environment (iPLE) constitutes our vision of how Web 2.0 technologies, people arrangement and data sharing could be applied for delivering open, flexible, distributed and learner-centred learning environments to university members. Based on the iPLE, this paper explores a strategy approach that…
Descriptors: Foreign Countries, Network Analysis, Strategic Planning, Cooperative Learning
Hu, Xiangen, Ed.; Barnes, Tiffany, Ed.; Hershkovitz, Arnon, Ed.; Paquette, Luc, Ed. – International Educational Data Mining Society, 2017
The 10th International Conference on Educational Data Mining (EDM 2017) is held under the auspices of the International Educational Data Mining Society at the Optics Velley Kingdom Plaza Hotel, Wuhan, Hubei Province, in China. This years conference features two invited talks by: Dr. Jie Tang, Associate Professor with the Department of Computer…
Descriptors: Data Analysis, Data Collection, Graphs, Data Use
Macfadyen, Leah P.; Dawson, Shane – Computers & Education, 2010
Earlier studies have suggested that higher education institutions could harness the predictive power of Learning Management System (LMS) data to develop reporting tools that identify at-risk students and allow for more timely pedagogical interventions. This paper confirms and extends this proposition by providing data from an international…
Descriptors: Network Analysis, Academic Achievement, At Risk Students, Prediction