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Download full textLemay, David John; Doleck, Tenzin; Brinton, Christopher G. – International Review of Research in Open and Distributed Learning, 2022
Online discussion research has mainly been conducted using case methods. This article proposes a method for comparative analysis based on network metrics such as information entropy and global network efficiency as more holistic measures characterizing social learning group dynamics. We applied social learning optimization analysis of networks…
Descriptors: Socialization, Social Networks, Network Analysis, Computer Mediated Communication
Jianhui Yu – International Review of Research in Open and Distributed Learning, 2025
Sentiments expressed on massive open online course (MOOC) discussion forums significantly influence learning effectiveness and academic performance. The evolution of learning sentiments on MOOC discussion forums is a dynamic process; however, a gap exists in the current understanding of the interplay between evolving sentiments and their impact on…
Descriptors: MOOCs, Student Attitudes, Group Discussion, Computer Mediated Communication
Mapping Network Structure and Diversity of Interdisciplinary Knowledge in Recommended MOOC Offerings
Zhang, Jingjing; Yang, Yehong; Barbera, Elena; Lu, Yu – International Review of Research in Open and Distributed Learning, 2022
In massive open online courses (MOOCs), recommendation relationships present a collection of associations that imply a new form of integration, such as an interdisciplinary synergy among diverse disciplines. This study took a computer science approach, using the susceptible-infected (SI) model to simulate the process of learners accessing courses…
Descriptors: Network Analysis, Interdisciplinary Approach, MOOCs, Electronic Learning
Khor, Ean Teng; Dave, Darshan – International Review of Research in Open and Distributed Learning, 2022
The COVID-19 pandemic induced a digital transformation of education and inspired both instructors and learners to adopt and leverage technology for learning. This led to online learning becoming an important component of the new normal, with home-based virtual learning an essential aspect for learners on various levels. This, in turn, has caused…
Descriptors: Learning Analytics, Social Networks, Network Analysis, Classification
Bozkurt, Aras; Zawacki-Richter, Olaf – International Review of Research in Open and Distributed Learning, 2021
The field of distance education (DE) is dynamic and constantly evolving; it reflects and adapts according to changes in socio-cultural, demographic, political, and technological domains. Thus, there is a need to understand past and present activities in the field, in order to better inform future research. The main purpose of this study was to…
Descriptors: Distance Education, Trend Analysis, Quality Assurance, Educational Quality
Chang, Ben; Shih, Yen-An; Lu, Fang-Chen – International Review of Research in Open and Distributed Learning, 2018
Today's learners can easily share their thoughts on their social networks, and this movement, undoubtedly, has been affecting their learning. However, learners in such an ad hoc social network environment need a deliberate design to support their idea sharing and concept exchange. Gaining insights into how to stimulate concept sharing in a social…
Descriptors: Social Media, Web Sites, Information Management, Information Dissemination
Wang, Zhijun; Anderson, Terry; Chen, Li – International Review of Research in Open and Distributed Learning, 2018
In this research paper, the authors analyse the collected data output during a 36-week cMOOC. Six-week data streams from blogs, Twitter, a Facebook group, and video conferences were tracked from the daily newsletter and the MOOCs' hashtag (#Change 11). This data was analysed using content analysis and social network analysis within an…
Descriptors: Interaction, Online Courses, Computer Mediated Communication, Transcripts (Written Records)
de Lima, Mariana; Zorrilla, Marta – International Review of Research in Open and Distributed Learning, 2017
This study aimed to analyze the student's behaviour in relation to their degree of commitment, participation, and contribution in a MOOC based on a social learning approach. Interaction data was collected on the learning platform and in social networks, both of which were used in the third edition of a social MOOC course. This data was then…
Descriptors: Online Courses, Large Group Instruction, Educational Technology, Technology Uses in Education
Czerkawski, Betül C. – International Review of Research in Open and Distributed Learning, 2016
With the emergence of social software and the advance of web-based technologies, online learning networks provide invaluable opportunities for learning, whether formal or informal. Unlike top-down, instructor-centered, and carefully planned formal learning settings, informal learning networks offer more bottom-up, student-centered participatory…
Descriptors: Blended Learning, Informal Education, Conventional Instruction, Electronic Learning
