Abstract
Mind wandering, defined as shifts in attention from task-related processing to task-unrelated thoughts, is a ubiquitous phenomenon that has a negative influence on performance and productivity in many contexts, including learning. We propose that next-generation learning technologies should have some mechanism to detect and respond to mind wandering in real-time. Towards this end, we developed a technology that automatically detects mind wandering from eye-gaze during learning from instructional texts. When mind wandering is detected, the technology intervenes by posing just-in-time questions and encouraging re-reading as needed. After multiple rounds of iterative refinement, we summatively compared the technology to a yoked-control in an experiment with 104 participants. The key dependent variable was performance on a post-reading comprehension assessment. Our results suggest that the technology was successful in correcting comprehension deficits attributed to mind wandering (d = .47 sigma) under specific conditions, thereby highlighting the potential to improve learning by “attending to attention.”
| Original language | English (US) |
|---|---|
| Pages | 8-15 |
| Number of pages | 8 |
| State | Published - 2017 |
| Externally published | Yes |
| Event | 10th International Conference on Educational Data Mining, EDM 2017 - Wuhan, China Duration: Jun 25 2017 → Jun 28 2017 |
Conference
| Conference | 10th International Conference on Educational Data Mining, EDM 2017 |
|---|---|
| Country/Territory | China |
| City | Wuhan |
| Period | 6/25/17 → 6/28/17 |
Bibliographical note
Funding Information:This research was supported by the National Science Foundation (NSF) (DRL 1235958 and IIS 1523091). The authors are grateful to Kris Kopp and Jenny Wu for their contributions to the study. Any opinions, findings and conclusions, or recommendations expressed in this paper are those of the authors and do not necessarily reflect the views of NSF.
Publisher Copyright:
© 2017 International Educational Data Mining Society. All rights reserved.
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 4 Quality Education
Keywords
- Attention-aware
- Gaze tracking
- Mind wandering
- Student modeling
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