| Title: |
A Toolbox for Understanding the Dynamics of Small Group Discussions |
| Language: |
English |
| Authors: |
Michael DeBuse (ORCID 0000-0002-0055-0614); Dallin Clayton; Brooks Butler; Sean Warnick |
| Source: |
International Journal of Artificial Intelligence in Education. 2024 34(2):586-615. |
| Availability: |
Springer. Available from: Springer Nature. One New York Plaza, Suite 4600, New York, NY 10004. Tel: 800-777-4643; Tel: 212-460-1500; Fax: 212-460-1700; e-mail: customerservice@springernature.com; Web site: https://link.springer.com/ |
| Peer Reviewed: |
Y |
| Page Count: |
30 |
| Publication Date: |
2024 |
| Document Type: |
Journal Articles; Reports - Research |
| Descriptors: |
Discussion (Teaching Technique); Discussion Groups; Group Dynamics; Group Discussion; Computation; Content Analysis; Data Analysis |
| DOI: |
10.1007/s40593-023-00360-3 |
| ISSN: |
1560-4292; 1560-4306 |
| Abstract: |
This work considers group discussion data, as recorded in video conferencing settings, and demonstrates the ability to use readily available computational tools to glean important information characterizing the dynamics of the group discussion. In particular, our toolbox reveals a number of important characteristics of a discussion, including who is speaking when and each participant's relative sentiment throughout the discussion. We also identify the moments of the discussion where specific events occur, such as reading or quoting from source material or when questions are being asked, etc. Finally, we conduct a topic analysis to characterize the amount of time spent on various themes in the discussion. We then demonstrate that these tools are reasonably accurate at locating the desired content and can, in fact, provide a unique window to into the dynamics of group discussions. |
| Abstractor: |
As Provided |
| Entry Date: |
2024 |
| Accession Number: |
EJ1426829 |
| Database: |
ERIC |