Abstract
We describe a graph-based modelling approach to exploring interactions associated with a change in students’ affective state when they are working with an exploratory learning environment (ELE). Student-system interactions data collected during a user study was modelled, visualized and queried as a graph. Our findings provide new insights into how students are interacting with the ELE and the effects of the system’s interventions on students’ affective states.
Original language | English |
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Title of host publication | Proceedings of the 10th International Conference on Educational Data Mining, EDM 2017 |
Editors | Xiangen Hu, Tiffany Barnes, Arnon Hershkovitz, Luc Paquette |
Publisher | International Educational Data Mining Society |
Pages | 382-383 |
Number of pages | 2 |
Publication status | Published - 1 Jan 2017 |
Externally published | Yes |
Event | 10th International Conference on Educational Data Mining, EDM 2017 - Wuhan, China Duration: 25 Jun 2017 → 28 Jun 2017 |
Conference
Conference | 10th International Conference on Educational Data Mining, EDM 2017 |
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Country/Territory | China |
City | Wuhan |
Period | 25/06/17 → 28/06/17 |
ASJC Scopus subject areas
- Computer Science Applications
- Information Systems