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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
Barbara Hall; Tasha Whye – Journal of Interactive Learning Research, 2023
Intersubjectivity is the representation of knowledge construction achieved through a synergistic progression from individual contributions to sequences of interdependent contributions. Repair is a conversational strategy that consists of sequences of interaction contributing to the development of intersubjectivity thereby establishing mutual…
Descriptors: Asynchronous Communication, Online Courses, Discussion (Teaching Technique), Computer Mediated Communication
Jonathan Hennessy – JALT CALL Journal, 2024
To successfully interact in a new language, learners must effectively take turns and manage the floor. Expectations and rules for turn-taking can differ between languages, making this more than a question of grammatical proficiency and vocabulary acquisition. In addition, the increased use of videoconferencing software in education and beyond…
Descriptors: Foreign Countries, Second Language Learning, English (Second Language), Videoconferencing
Ye, Dan; Pennisi, Svoboda – Journal of Computer Assisted Learning, 2022
Background: Online discussion is one of the commonly used tools to enhance students' interactions and engagements in online courses, but it is not clear how social presence in online discussions impacts students' learning and what kinds of interactions we should encourage. Social network analysis provides a new methodology to investigate how…
Descriptors: Discourse Analysis, Computer Mediated Communication, Discussion Groups, Social Networks
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
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
Kaliisa, Rogers; Dolonen, Jan Arild – Technology, Knowledge and Learning, 2023
Despite the potential of learning analytics (LA) to support teachers' everyday practice, its adoption has not been fully embraced due to the limited involvement of teachers as co-designers of LA systems and interventions. This is the focus of the study described in this paper. Following a design-based research (DBR) approach and guided by concepts…
Descriptors: College Faculty, Student Participation, Discourse Analysis, Behavior Patterns
Chen, Chih-Ming; Li, Ming-Chaun; Huang, Ya-Ling – Interactive Learning Environments, 2023
By applying two-mode social networks and Chinese word segmentation technologies, a novel visualization tool, the instant semantic analysis and feedback system (ISAFS), is designed in this study to present the semantic networks of co-words and non-co-words used in learners' discussion processes and assist learners in grasping the discussion…
Descriptors: Foreign Countries, High School Students, Semantics, Feedback (Response)
Wei Xu; Le-Ying Yang; Xiao Liu; Pin-Nv Jin – Education and Information Technologies, 2024
Teacher feedback is the key to online collaborative discussion. To investigate the effects of different forms of teacher feedback intervention on learners' cognitive and emotional interactions in online collaborative discussion, this study collected collaborative discussion text data of online collaborative learners. Based on the framework of…
Descriptors: Feedback (Response), Teacher Student Relationship, Communities of Practice, Cooperative Learning
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
Matthews, Jolie C. – Discourse Processes: A Multidisciplinary Journal, 2022
This article investigates how members of an online community engaged in historical perspective taking in their discussions of the events and figures portrayed in a historical television show. As a means to justify their interpretations and situate themselves inside the possible mindsets of historical figures, members drew on three aspects of the…
Descriptors: Self Concept, Perspective Taking, Computer Mediated Communication, Group Discussion
Shinozaki, Fumiya; Yokoyama, Satoshi – Acuity: Journal of English Language Pedagogy, Literature and Culture, 2023
Sixty-one junior high school students in Japan participated twice in an online English group conversation lesson. At the first half of a session, each student gave an individual presentation to a Filipino instructor and the other group members. At the second half of the session, they conducted discussions, where the instructor, as the facilitator,…
Descriptors: Foreign Countries, Junior High School Students, Speech Communication, English (Second Language)
Allan Jeong; Ming Ming Chiu – Distance Education, 2025
Computer-supported collaborative argumentation is an online activity that can engage students in deep discussion and analysis of complex problems. Given the potentially confrontational nature of argumentation, using polite language becomes a strategic approach to prevent breakdowns in group communication and nurture productive dialogues. This…
Descriptors: Pragmatics, Discourse Analysis, Computer Mediated Communication, Debate
Lucero, Audrey; Avelar, Janette Dalila – English Teaching: Practice and Critique, 2022
Purpose: The purpose of this study is to better understand the ways in which K-8 teachers from a semirural, predominantly white district perceive their responsibilities to work toward anti-racism, as well as to learn more about how the teachers can be supported as they work to overcome the challenges facing teachers in these fraught times in this…
Descriptors: Critical Literacy, Literacy Education, Elementary School Teachers, Middle School Teachers
Chopra, Harshita; Lin, Yiwen; Samadi, Mohammad Amin; Cavazos, Jacqueline G.; Yu, Renzhe; Jaquay, Spencer; Nixon, Nia – International Educational Data Mining Society, 2023
Exploring students' discourse in academic settings over time can provide valuable insight into the evolution of learner engagement and participation in online learning. In this study, we propose an analytical framework to capture topics and the temporal progression of learner discourse. We employed a Contextualized Topic Modeling technique on…
Descriptors: Semantics, Computer Mediated Communication, Pandemics, COVID-19