Publication Date
In 2025 | 0 |
Since 2024 | 5 |
Since 2021 (last 5 years) | 16 |
Since 2016 (last 10 years) | 20 |
Since 2006 (last 20 years) | 20 |
Descriptor
Computer Mediated… | 20 |
Cooperative Learning | 20 |
Learning Analytics | 20 |
Discourse Analysis | 7 |
Electronic Learning | 5 |
College Students | 4 |
Foreign Countries | 4 |
Interaction | 4 |
Online Courses | 4 |
Asynchronous Communication | 3 |
Business Administration… | 3 |
More ▼ |
Source
Author
Ouyang, Fan | 2 |
Adelson de Araujo | 1 |
Ahmed, Zafor | 1 |
Amarasinghe, Ishari | 1 |
Anderson Pinheiro | 1 |
Austin C. Megli | 1 |
Blumenstein, Marion | 1 |
Bodnar, Stephen | 1 |
Buckingham Shum, Simon | 1 |
Can Sun | 1 |
Carliner, Saul, Ed. | 1 |
More ▼ |
Publication Type
Reports - Research | 17 |
Journal Articles | 16 |
Books | 1 |
Collected Works - General | 1 |
Collected Works - Proceedings | 1 |
Information Analyses | 1 |
Reports - Evaluative | 1 |
Speeches/Meeting Papers | 1 |
Education Level
Higher Education | 9 |
Postsecondary Education | 9 |
Secondary Education | 2 |
Elementary Education | 1 |
Elementary Secondary Education | 1 |
Grade 12 | 1 |
Grade 5 | 1 |
High Schools | 1 |
Intermediate Grades | 1 |
Middle Schools | 1 |
Audience
Administrators | 1 |
Teachers | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Austin C. Megli; Dayra Fallad-Mendoza; Monica Etsitty-Dorame; Jasmine Desiderio; Yan Chen; Damian Sanchez; Nick Flor; Charlotte N. Gunawardena – American Journal of Distance Education, 2024
Analyzing how participants learn from each other during online forums on discussion boards or social media platforms is often challenging. One of the predominant methods of analyzing such learning is through qualitative content analysis or interaction analysis. The Interaction Analysis Model (IAM), developed by Gunawardena, Lowe and Anderson which…
Descriptors: Learning Processes, Distance Education, Computer Mediated Communication, Social Media
Adelson de Araujo; Pantelis M. Papadopoulos; Susan McKenney; Ton de Jong – Journal of Computer Assisted Learning, 2024
Background: Sustaining productive student-student dialogue in online collaborative inquiry learning is challenging, and teacher support is limited when needed in multiple groups simultaneously. Collaborative conversational agents (CCAs) have been used in the past to support student dialogue. Yet, research is needed to reveal the characteristics…
Descriptors: Learning Analytics, Computer Mediated Communication, Artificial Intelligence, Dialogs (Language)
Priya Sharma; Mahir Akgun; Qiyuan Li – Educational Technology Research and Development, 2024
Networked and digital technologies are increasingly being used for learning in formal and informal contexts, and participant engagement occurs primarily via online discussions. In this paper, we describe an ongoing research project that focuses on examining and understanding student engagement in collaborative online discussions within a formal…
Descriptors: Social Networks, Network Analysis, Discourse Analysis, Classification
Chen, Si; Ouyang, Fan; Jiao, Pengcheng – Journal of Computer Assisted Learning, 2022
Background: Online Collaborative Writing (OCW) has been reported to be useful to improve writing quality in higher education. However, challenges emerge during the collaborative processes, mainly centering on how to sustain active interactions and communications in order to complete a high quality of writing. Objectives: Using the design-based…
Descriptors: Learner Engagement, Computer Mediated Communication, Collaborative Writing, Cooperative Learning
Yawen Yu; Yang Tao; Gaowei Chen; Can Sun – Journal of Computer Assisted Learning, 2024
Background: Deep discussions play an important role in students' online learning. However, researchers have largely focused on engaging students in deep discussions in online asynchronous forums. Few studies have investigated how to promote deep discussion via mobile instant messaging (MIM). Objectives: In this study, we applied learning…
Descriptors: Learning Analytics, College Students, Epistemology, Computer Mediated Communication
Eryilmaz, Evren; Thoms, Brian; Ahmed, Zafor; Lee, Kuo-Hao – Education and Information Technologies, 2021
As asynchronous online discussions gain a broader usage due to the COVID-19 epidemic, the need for understanding of students' ideas from unstructured textual data becomes more pressing. In this experimental study, we examine the effects of recommendations on message quality and community formation from voluminous online discussions. Drawing on…
Descriptors: Asynchronous Communication, Computer Mediated Communication, Cooperative Learning, Learning Analytics
Amarasinghe, Ishari; Hernández-Leo, Davinia; Ulrich Hoppe, H. – International Journal of Computer-Supported Collaborative Learning, 2021
Under the notion of "CSCL scripts", different pedagogical models for structuring and supporting collaboration in the classroom have been proposed. We report on a practical experience with scripts based on the Pyramid collaborative learning flow pattern supported by a specific classroom tool and a teacher-facing dashboard that implements…
Descriptors: Cooperative Learning, Computer Assisted Instruction, Scripts, Learning Analytics
Jewoong Moon; Laura McNeill; Christopher Thomas Edmonds; Seyyed Kazem Banihashem; Omid Noroozi – International Journal of Educational Technology in Higher Education, 2024
This study explored the dynamics of students' knowledge co-construction in an asynchronous gamified environment in higher education, focusing on peer discussions in college business courses. Utilizing epistemic network analysis, sequence pattern mining, and automated coding, we analyzed the interactions of 1,319 business students. Our findings…
Descriptors: Learning Analytics, Cooperative Learning, Asynchronous Communication, Gamification
Martinez-Maldonado, Roberto; Gaševic, Dragan; Echeverria, Vanessa; Fernandez Nieto, Gloria; Swiecki, Zachari; Buckingham Shum, Simon – Journal of Learning Analytics, 2021
Using data to generate a deeper understanding of collaborative learning is not new, but automatically analyzing log data has enabled new means of identifying key indicators of effective collaboration and teamwork that can be used to predict outcomes and personalize feedback. Collaboration analytics is emerging as a new term to refer to…
Descriptors: Learning Analytics, Cooperative Learning, Validity, Case Studies
Ouyang, Fan – Journal of Educational Computing Research, 2021
Sharing the same philosophy of "relations matter" with computer-supported collaborative learning (CSCL), social network analysis (SNA) has become a common methodology in the CSCL research. In this research, I use SNA methods from "relational ties," "network modes," and "integrated methods" perspectives to…
Descriptors: Social Networks, Cooperative Learning, Electronic Learning, Online Courses
Nasir, Jauwairia; Kothiyal, Aditi; Sheng, Haoyu; Dillenbourg, Pierre – International Educational Data Mining Society, 2023
Transactive discussion during collaborative learning is crucial for building on each other's reasoning and developing problem solving strategies. In a tabletop collaborative learning activity, student actions on the interface can drive their thinking and be used to ground discussions, thus affecting their problem-solving performance and learning.…
Descriptors: Cooperative Learning, Thinking Skills, Problem Solving, Learning Activities
Chen, Yuxin; Hmelo-Silver, Cindy E.; Lajoie, Susanne P.; Zheng, Juan; Huang, Lingyun; Bodnar, Stephen – Interdisciplinary Journal of Problem-based Learning, 2021
Facilitating the collaboration of multiple groups is a critical element in problem-based learning (PBL). In face-to-face learning environments, PBL facilitators require sufficient information about a group's progress and collaboration in real time to make decisions about when and how to facilitate. The capacity of facilitator is limited as PBL…
Descriptors: Problem Based Learning, Cooperative Learning, Learning Analytics, Technology Uses in Education
Halpin, Peter – Journal of Learning Analytics, 2021
This paper addresses dynamical interdependence among the actions of group members. I assume that the actions of each member can be represented as nodes of a dynamical network and then collect the nodes into disjoint subsets (components) representing the individual group members. Interdependence among group members' actions can then be defined with…
Descriptors: Learning Analytics, Group Dynamics, Group Membership, Interpersonal Relationship
Chenglu Li; Wanli Xing; Walter Leite – Grantee Submission, 2022
A discussion forum is a valuable tool to support student learning in online contexts. However, interactions in online discussion forums are sparse, leading to other issues such as low engagement and dropping out. Recent educational studies have examined the affordances of conversational agents (CA) powered by artificial intelligence (AI) to…
Descriptors: Social Responsibility, Computer Mediated Communication, Group Discussion, Artificial Intelligence
Máverick André; Anderson Pinheiro; Vitor Rolim; Rafael Dueire Lins; Taciana Pontual Falcão; Rafael Ferreira Mello – Computer-Based Learning in Context, 2022
Learning Management Systems (LSM) have been adopted to provide interaction between instructors and students in online learning courses. In these environments, large volumes of messages are exchanged, making it difficult for the participants to follow all the discussions. When messages are ignored, students' opportunities to effectively construct…
Descriptors: Learning Analytics, Computer Mediated Communication, Discussion Groups, Portuguese
Previous Page | Next Page »
Pages: 1 | 2