Abstract
Attention is critical to learning. Hence, advanced learning technologies should benefit from mechanisms to monitor and respond to learners' attentional states. We study the feasibility of integrating commercial off-The-shelf (COTS) eye trackers to monitor attention during interactions with a learning technology called GuruTutor. We tested our implementation on 135 students in a noisy computer-enabled high school classroom and were able to collect a median 95% valid eye gaze data in 85% of the sessions where gaze data was successfully recorded. Machine learning methods were employed to develop automated detectors of mind wandering (MW) -A phenomenon involving a shift in attention from task-related to task-unrelated thoughts that is negatively correlated with performance. Our student-independent, gaze-based models could detect MW with an accuracy (F1 of MW = 0.59) significantly greater than chance (F1 of MW = 0.24). Predicted rates of mind wandering were negatively related to posttest performance, providing evidence for the predictive validity of the detector. We discuss next steps towards developing gaze-based, attention-Aware, learning technologies that can be deployed in noisy, real-world environments.
| Original language | English (US) |
|---|---|
| Title of host publication | UMAP 2017 - Proceedings of the 25th Conference on User Modeling, Adaptation and Personalization |
| Publisher | Association for Computing Machinery, Inc |
| Pages | 94-103 |
| Number of pages | 10 |
| ISBN (Electronic) | 9781450346351 |
| DOIs | |
| State | Published - Jul 9 2017 |
| Externally published | Yes |
| Event | 25th ACM International Conference on User Modeling, Adaptation, and Personalization, UMAP 2017 - Bratislava, Slovakia Duration: Jul 9 2017 → Jul 12 2017 |
Publication series
| Name | UMAP 2017 - Proceedings of the 25th Conference on User Modeling, Adaptation and Personalization |
|---|
Conference
| Conference | 25th ACM International Conference on User Modeling, Adaptation, and Personalization, UMAP 2017 |
|---|---|
| Country/Territory | Slovakia |
| City | Bratislava |
| Period | 7/9/17 → 7/12/17 |
Bibliographical note
Publisher Copyright:©2017 ACM.
Keywords
- Attention-Aware learning
- Cyberlearning
- Eye-gaze
- Intelligent tutoring systems
- Mind wandering