Publication Date
In 2025 | 1 |
Since 2024 | 5 |
Since 2021 (last 5 years) | 10 |
Descriptor
Source
Author
Ouyang, Fan | 2 |
Austin C. Megli | 1 |
Charlotte N. Gunawardena | 1 |
Chen, Si | 1 |
Christopher Thomas Edmonds | 1 |
Damian Sanchez | 1 |
Dayra Fallad-Mendoza | 1 |
Ding, Juncheng | 1 |
Han, Zhongmei | 1 |
Huang, Changqin | 1 |
Jasmine Desiderio | 1 |
More ▼ |
Publication Type
Journal Articles | 10 |
Reports - Research | 10 |
Tests/Questionnaires | 1 |
Education Level
Higher Education | 6 |
Postsecondary Education | 6 |
Audience
Location
China | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Shiqi Liu; Sannyuya Liu; Xian Peng; Jianwen Sun; Zhi Liu – Journal of Educational Computing Research, 2025
Forum discussions in Massive Open Online Courses (MOOCs) play a crucial role in promoting learning engagement and academic achievement. In particular, discussion topics significantly influence learners' emotional and cognitive engagement. However, the complex interrelationships among these factors remain underexplored. This study introduces an…
Descriptors: MOOCs, Difficulty Level, Learner Engagement, Academic Achievement
Oleksandra Poquet; Sven Trenholm; Marc Santolini – Educational Technology Research and Development, 2024
Interpersonal online interactions are key to digital learning pedagogies and student experiences. Researchers use learner log and text data collected by technologies that mediate learner interactions online to provide indicators about interpersonal interactions. However, analytical approaches used to derive these indicators face conceptual,…
Descriptors: Computer Mediated Communication, Interpersonal Communication, Online Courses, Discussion
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
Jennifer Scianna; Rogers Kaliisa – Educational Technology Research and Development, 2024
Educational researchers have pointed to socioemotional dimensions of learning as important in gaining a more nuanced description of student engagement and learning. However, to date, research focused on the analysis of emotions has been narrow in its focus, centering on affect and sentiment analysis in isolation while neglecting how emotions…
Descriptors: Computer Mediated Communication, Discussion, Discourse Analysis, Asynchronous Communication
Ouyang, Fan; Chen, Si; Li, Xu – British Journal of Educational Technology, 2021
Social learning analytics (SLA) tools are designed to visually demonstrate online discussions with a goal to foster student engagement. However, empirical studies indicate controversial results of the effect of SLA tools on student engagement. This design-based research designs a student-facing SLA tool to demonstrate discussions from three…
Descriptors: Learning Analytics, Visual Aids, Learner Engagement, Discussion
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
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
Huang, Changqin; Han, Zhongmei; Li, Ming; Wang, Xizhe; Zhao, Wenzhu – Australasian Journal of Educational Technology, 2021
Sentiment evolution is a key component of interactions in blended learning. Although interactions have attracted considerable attention in online learning contexts, there is scant research on examining sentiment evolution over different interactions in blended learning environments. Thus, in this study, sentiment evolution at different interaction…
Descriptors: Learning Analytics, Interaction, Blended Learning, Electronic Learning
Jin, Sung-Hee – IEEE Transactions on Learning Technologies, 2021
Participation dashboards in online discussions are learning support tools that can have a positive effect on learners' learning outcomes and satisfaction levels, but their effectiveness differs according to how learners recognize and interpret them. However, there is a lack of research investigating the effectiveness of visualization methods…
Descriptors: Asynchronous Communication, Discussion, Computer Mediated Communication, Peer Relationship
Yang, Junhe; Ding, Juncheng – Journal of Interactive Learning Research, 2021
Preparing for back-to-school is essential, and it is also complicated because it involves different groups of people, and they have different needs. Pandemics, like COVID-19, make the situation even more difficult. Better preparation during a pandemic needs a comprehensive understanding of the situation. However, few studies have provided such…
Descriptors: Content Analysis, Discourse Analysis, Social Media, Computer Mediated Communication