Going Deep and Far: Gaze-Based Models Predict Multiple Depths of Comprehension during and One Week Following Reading
Saved in:
| Title: | Going Deep and Far: Gaze-Based Models Predict Multiple Depths of Comprehension during and One Week Following Reading |
|---|---|
| Language: | English |
| Authors: | Caruso, Megan, Peacock, Candace E., Southwell, Rosy, Zhou, Guojing, D'Mello, Sidney K. |
| Source: | International Educational Data Mining Society. 2022. |
| Availability: | International Educational Data Mining Society. e-mail: admin@educationaldatamining.org; Web site: https://educationaldatamining.org/conferences/ |
| Peer Reviewed: | Y |
| Page Count: | 13 |
| Publication Date: | 2022 |
| Sponsoring Agency: | National Science Foundation (NSF) |
| Contract Number: | DRL1920510 |
| Document Type: | Speeches/Meeting Papers Reports - Research |
| Education Level: | Higher Education Postsecondary Education |
| Descriptors: | Eye Movements, Reading Comprehension, Inferences, Prediction, Computer Software, Reading Processes, Models, Time Factors (Learning), Rote Learning, Accuracy, Intelligent Tutoring Systems, Teaching Methods, Undergraduate Students |
| Abstract: | What can eye movements reveal about reading, a complex skill ubiquitous in everyday life? Research suggests that gaze can reflect short-term comprehension for facts, but it is unknown whether it can measure long-term, deep comprehension. We tracked gaze while 147 participants read long, connected, informative texts and completed assessments of rote (factual) and inference comprehension (connecting ideas) while reading a text, after reading a text, after reading five texts, and after a seven-day delay. Gaze-based student-independent computational models predicted both immediate and long-term rote and inference comprehension with moderate accuracies. Surprisingly, the models were most accurate for comprehension assessed after reading all texts and predicted comprehension even after a week-long delay. This shows that eye movements can provide a lens into the cognitive processes underlying reading comprehension, including inference formation, and the consolidation of information into long-term memory, which has implications for intelligent student interfaces that can automatically detect and repair comprehension in real-time. [For the full proceedings, see ED623995.] |
| Abstractor: | As Provided |
| Entry Date: | 2022 |
| Accession Number: | ED624054 |
| Database: | ERIC |
| Abstract: | What can eye movements reveal about reading, a complex skill ubiquitous in everyday life? Research suggests that gaze can reflect short-term comprehension for facts, but it is unknown whether it can measure long-term, deep comprehension. We tracked gaze while 147 participants read long, connected, informative texts and completed assessments of rote (factual) and inference comprehension (connecting ideas) while reading a text, after reading a text, after reading five texts, and after a seven-day delay. Gaze-based student-independent computational models predicted both immediate and long-term rote and inference comprehension with moderate accuracies. Surprisingly, the models were most accurate for comprehension assessed after reading all texts and predicted comprehension even after a week-long delay. This shows that eye movements can provide a lens into the cognitive processes underlying reading comprehension, including inference formation, and the consolidation of information into long-term memory, which has implications for intelligent student interfaces that can automatically detect and repair comprehension in real-time. [For the full proceedings, see ED623995.] |
|---|
