Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 0 |
| Since 2017 (last 10 years) | 1 |
| Since 2007 (last 20 years) | 1 |
Descriptor
| College Students | 1 |
| Comparative Analysis | 1 |
| Cooperative Learning | 1 |
| Discourse Analysis | 1 |
| Engineering | 1 |
| Engineering Education | 1 |
| Epistemology | 1 |
| Internship Programs | 1 |
| Models | 1 |
| Network Analysis | 1 |
| Semantics | 1 |
| More ▼ | |
Author
| Collier, Wesley | 1 |
| Irgens, Golnaz Arastoopour | 1 |
| Ruis, Andrew R. | 1 |
| Shaffer, David Williamson | 1 |
| Siebert-Evenstone, Amanda L. | 1 |
| Swiecki, Zachari | 1 |
Publication Type
| Journal Articles | 1 |
| Reports - Evaluative | 1 |
Education Level
| Higher Education | 1 |
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewed
Download full textSiebert-Evenstone, Amanda L.; Irgens, Golnaz Arastoopour; Collier, Wesley; Swiecki, Zachari; Ruis, Andrew R.; Shaffer, David Williamson – Journal of Learning Analytics, 2017
Analyses of learning based on student discourse need to account not only for the content of the utterances but also for the ways in which students make connections across turns of talk. This requires segmentation of discourse data to define when connections are likely to be meaningful. In this paper, we present an approach to segmenting data for…
Descriptors: Semantics, Discourse Analysis, Models, Epistemology
