Publication Date
In 2025 | 0 |
Since 2024 | 1 |
Since 2021 (last 5 years) | 2 |
Since 2016 (last 10 years) | 6 |
Descriptor
Source
Journal of Learning Analytics | 2 |
Frontline Learning Research | 1 |
Higher Education Studies | 1 |
International Journal of… | 1 |
International Journal of… | 1 |
Author
Berland, Matthew | 1 |
Bowers, Alex | 1 |
Epp, Carrie Demmans | 1 |
Helen P. Nicholson | 1 |
Hewitt, Jim | 1 |
Jina Kang | 1 |
Jorion, Natalie | 1 |
Kumar, Vishesh | 1 |
Lyons, Leilah | 1 |
Philip J. Shrives | 1 |
Phirangee, Krystle | 1 |
More ▼ |
Publication Type
Journal Articles | 6 |
Reports - Research | 6 |
Education Level
Higher Education | 4 |
Postsecondary Education | 2 |
Audience
Location
Turkey | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Helen P. Nicholson; Philip J. Shrives – International Journal of Social Research Methodology, 2024
Interaction is a much-claimed attribute of focus group research yet is often deficient in analysis when its essence can become lost. In this paper we aim to develop a flexible framework that can be operationalized and replicated when attempting to encourage and capture interaction. Working as outsider researchers with John Lewis & Partners…
Descriptors: Interaction, Focus Groups, Transcripts (Written Records), Interaction Process Analysis
Yiqiu Zhou; Jina Kang – Journal of Learning Analytics, 2023
Collaboration is a complex, multidimensional process; however, details of how multimodal features intersect and mediate group interactions have not been fully unpacked. Characterizing and analyzing the temporal patterns based on multimodal features is a challenging yet important work to advance our understanding of computer-supported collaborative…
Descriptors: Attention Control, Cooperative Learning, Data Analysis, Computer Assisted Instruction
Jorion, Natalie; Roberts, Jessica; Bowers, Alex; Tissenbaum, Mike; Lyons, Leilah; Kumar, Vishesh; Berland, Matthew – Frontline Learning Research, 2020
A driving factor in designing interactive museum exhibits to support simultaneous users is that visitors learn from one another via observation and conversation. Researchers typically analyze such collaborative interactions among museumgoers through manual coding of live- or video-recorded exhibit use. We sought to determine how log data from an…
Descriptors: Museums, Exhibits, Data Analysis, Cooperation
Porouhan, Parham – International Journal of Web-Based Learning and Teaching Technologies, 2018
This article builds on the intersection of educational process mining and the automatic analysis of student's collaborative interaction data previously collected from a web-based multi-tabletop learning environment. The main focus of the article was to analyze and interpret the data using several process mining techniques in order to increase the…
Descriptors: Data Analysis, Cooperative Learning, Web Based Instruction, Student Participation
Epp, Carrie Demmans; Phirangee, Krystle; Hewitt, Jim – Journal of Learning Analytics, 2017
Identifying which online behaviours and interactions are associated with student perceptions of being supported will enable a deeper understanding of how those activities contribute to learning experiences. Student language is one aspect of their interaction in need of greater exploration within discourse-based online learning environments. As a…
Descriptors: Student Behavior, Computer Mediated Communication, Form Classes (Languages), Language Usage
Çardak, Çigdem Suzan – Higher Education Studies, 2016
This article focusses on graduate level students' interactions during asynchronous CMC activities of an online course about the teaching profession in Turkey. The instructor of the course designed and facilitated a semester-long asynchronous CMC on forum discussions, and investigated the interaction of learners in multiple perspectives: learners'…
Descriptors: Graduate Students, Asynchronous Communication, Computer Mediated Communication, Online Courses