Abstract
Collaborative problem solving is defined as having cognitive and social dimensions. While network analytic techniques such as epistemic network analysis (ENA) and social network analysis (SNA) have been successfully used to investigate the patterns of cognitive and social connections that describe CPS, few attempts have been made to combine the two approaches. Building on prior work that used ENA and SNA metrics as independent predictors of collaborative learning, we propose and test the integrated social-epistemic network signature (iSENS), an approach that affords the simultaneous investigation of cognitive and social connections. We tested iSENS on data collected from military teams participating in training scenarios. Our results suggest that (1) these teams are defined by specific patterns of cognitive and social connections, (2) iSENS networks are able to capture these patterns, and (3) iSENS is a better predictor of team outcomes compared to ENA alone, SNA alone, and a non-integrated SENS approach.
Original language | English |
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Title of host publication | LAK20 Conference Proceedings - Celebrating 10 years of LAK: Shaping the future of the field |
Subtitle of host publication | The Tenth International Conference on Learning Analytics & Knowledge |
Editors | Vitomir Kovanović, Maren Scheffel, Niels Pinkwart, Katrien Verbert |
Place of Publication | New York NY USA |
Publisher | Association for Computing Machinery (ACM) |
Pages | 305-313 |
Number of pages | 9 |
ISBN (Electronic) | 9781450377126 |
DOIs | |
Publication status | Published - 2020 |
Externally published | Yes |
Event | International Conference on Learning Analytics and Knowledge 2020 - Frankfurt, Germany Duration: 23 Mar 2020 → 27 Mar 2020 Conference number: 10th https://lak20.solaresearch.org (Website) https://dl-acm-org.ezproxy.lib.monash.edu.au/doi/proceedings/10.1145/3375462 (Website) |
Conference
Conference | International Conference on Learning Analytics and Knowledge 2020 |
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Abbreviated title | LAK 2020 |
Country/Territory | Germany |
City | Frankfurt |
Period | 23/03/20 → 27/03/20 |
Internet address |
Keywords
- Collaborative problem solving
- Epistemic network analysis
- Social network analysis