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Liu, Sannyuya; Kang, Lingyun; Liu, Zhi; Zhao, Liang; Yang, Zongkai; Su, Zhu – Journal of Computing in Higher Education, 2023
Understanding the relationship between interactive behaviours and discourse content has critical implications for instructors' design and facilitation of collaborative discussion activities in the online discussion forum (ODF). This paper adopts social network analysis (SNA) and epistemic network analysis (ENA) methods to jointly investigate the…
Descriptors: Discussion, Electronic Learning, Outcomes of Education, Interaction
Brayan Díaz; Daniela Luengo-Aravena; Pia Barahona; Patricio Felmer – Journal of Engineering Education, 2025
Background: We examine the efficacy of an online collaborative problem-solving (CPS) teaching approach in academic performance and student connections with other peers, among first-year engineering calculus students at a Latin American university. Our research uses communities of practice (CoP) to emphasize the social nature of learning and the…
Descriptors: Electronic Learning, Cooperative Learning, Problem Solving, Mathematics Skills
Yamina Aissaoui; Lamia Berkani; Faiçal Azouaou – International Journal of Learning Technology, 2024
With the rapid development of information technologies, online learning platforms have become the most convenient way for users(teachers and learners) to share their learning content. However, due to the increasing number of educational content, it becomes very difficult for learners to find the most appropriate items. Most previous methods…
Descriptors: Information Networks, Online Searching, Search Strategies, User Needs (Information)
Alwafi, Enas Mohammad – Educational Technology Research and Development, 2023
This study investigated the impact of designing an online learning environment based on cognitive apprenticeship on students' critical thinking and interaction in CSCL. The one group pretest-posttest quasi-experimental design was used in this study. A questionnaire was used to measure students' critical thinking and social network analysis (SNA)…
Descriptors: Computer Assisted Instruction, Cooperative Learning, Instructional Design, Electronic Learning
Cheng, Zui; Long, Yishi; Koehler, Adrie A. – Educational Technology Research and Development, 2022
Asynchronous online discussions (AODs) are a central component of online courses and have been widely implemented in case-based instruction (CBI). In online CBI, AODs offer learners a medium for making sense of complex problems, as they consider case topics collaboratively with peers and facilitators. Therefore, learners' interactions with others…
Descriptors: Problem Solving, Asynchronous Communication, Discussion, Social Networks
Saqr, Mohammed; Peeters, Ward – British Journal of Educational Technology, 2022
Social Network Analysis (SNA) has enabled researchers to understand and optimize the key dimensions of collaborative learning. A majority of SNA research has so far used static networks, i.e., aggregated networks that compile interactions without considering "when" certain activities or relationships occurred. Compressing a temporal…
Descriptors: Social Networks, Network Analysis, Cooperative Learning, Electronic Learning
de Medeiros, Francisco Petronio Alencar; Gomes, Alex Sandro – IEEE Transactions on Education, 2022
Contribution: This work contributes to computer-supported collaborative learning (CSCL) offering support to the teaching presence among the enormous volume of interactions to provide a more active classroom posture in online environments. Background: Tracking interactions on collaborative learning environments (CLEs) with an increasing number of…
Descriptors: Network Analysis, Social Networks, Cooperative Learning, Social Behavior
Öznur Karakas – Minerva: A Review of Science, Learning and Policy, 2024
E-science, or networked, collaborative and multidisciplinary scientific research on a shared e-infrastructure using computational tools, methods and applications, has also brought about new networked organizational forms in the transition of higher education towards the entrepreneurial academy. While the under-representation of women in ICTs is…
Descriptors: Foreign Countries, Research and Development, Research Universities, Researchers
Ouyang, Fan; Ling, Tengjiao; Jiao, Pengcheng – Journal of Educational Computing Research, 2022
Group cognition is a cognitive science concept that studies how groups think, learn, and work. Most research investigates group cognition as a qualitative-oriented phenomenon. From a quantitative perspective, this research proposes a measure equation of group cognition, conducts empirical research during online collaborative problem-solving, and…
Descriptors: Group Dynamics, Cognitive Processes, Cooperative Learning, Electronic Learning
Senthil Kumaran, V.; Malar, B. – Interactive Learning Environments, 2023
Churn in e-learning refers to learners who gradually perform less and become lethargic and may potentially drop out from the course. Churn prediction is a highly sensitive and critical task in an e-learning system because inaccurate predictions might cause undesired consequences. A lot of approaches proposed in the literature analyzed and modeled…
Descriptors: Electronic Learning, Dropouts, Accuracy, Classification
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
Fahimeh Keshavarzi; Timothy Teo; Elham Heidari; Mahboobe Mehrvarz – Education and Information Technologies, 2024
In the digital era, there has been a growing focus on seeking online academic help-seeking as an effective factor for success in the virtual learning environment. However, the Social Networking Self-efficacy (SNS) and social presence of students in online learning environments remain underexplored. This study employed a structural model to…
Descriptors: Help Seeking, Social Networks, Self Efficacy, Electronic Learning
Zendrato, Rotua; Chang, Ben; Cheng, Hercy – Asian Journal of Distance Education, 2023
Indonesian workers in Taiwan have been taking synchronous online courses to enhance their education for several years. Still, the most crucial part of a synchronous course, the interaction quality, in the past, in general, was highly disturbed by the workers' busy daily work and had room to improve. Therefore, improving online interaction quality…
Descriptors: Foreign Workers, Electronic Learning, Open Universities, Action Research
Sonia Santoveña-Casal; Javier Gil-Quintana; José Javier Hueso-Romero – Interactive Technology and Smart Education, 2024
Purpose: Microteaching is a teacher training method based on microclasses (groups of four or five students) and microlessons lasting no more than 5-20 min. Since it was first explored in the late 20th century in experiments at Stanford University, microteaching has evolved at the interdisciplinary level. The purpose of this paper is to examine the…
Descriptors: Microteaching, Networks, Higher Education, Electronic Learning
Yongyan Zhao; Jian Li – International Journal of Web-Based Learning and Teaching Technologies, 2024
The attention time of students studying in MOOC (Massive Open Online Courses) classroom was analyzed to optimize and further improve their performance. On this basis, a student class model based on convolutional neural networks (CNN) feature extraction was proposed. Through Pr (Adobe Premiere) technology, students' class videos were processed by…
Descriptors: Higher Education, MOOCs, Artificial Intelligence, Networks