دورية أكاديمية
Measuring and Classifying Students' Cognitive Load in Pen-Based Mobile Learning Using Handwriting, Touch Gestural and Eye-Tracking Data
| العنوان: | Measuring and Classifying Students' Cognitive Load in Pen-Based Mobile Learning Using Handwriting, Touch Gestural and Eye-Tracking Data |
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| اللغة: | English |
| المؤلفون: | Qingchuan Li (ORCID |
| المصدر: | British Journal of Educational Technology. 2024 55(2):625-653. |
| الإتاحة: | Wiley. Available from: John Wiley & Sons, Inc. 111 River Street, Hoboken, NJ 07030. Tel: 800-835-6770; e-mail: cs-journals@wiley.com; Web site: https://www.wiley.com/en-us |
| Peer Reviewed: | Y |
| Page Count: | 29 |
| تاريخ النشر: | 2024 |
| نوع الوثيقة: | Journal Articles Reports - Research |
| Descriptors: | Cognitive Processes, Difficulty Level, Electronic Learning, Handwriting, Eye Movements, Nonverbal Communication, Handheld Devices, Educational Technology, Learning Processes, Students |
| DOI: | 10.1111/bjet.13394 |
| تدمد: | 0007-1013 1467-8535 |
| مستخلص: | Although the utilization of mobile technologies has recently emerged in various educational settings, limited research has focused on cognitive load detection in the pen-based learning process. This research conducted two experimental studies to investigate what and how multimodal data can be used to measure and classify learners' real-time cognitive load. The results found that it was a promising method to predict learners' cognitive load by analysing their handwriting, touch gestural and eye-tracking data individually and conjunctively. The machine learning approach used in this research achieved a prediction accuracy of 0.86 area under the receiver operating characteristic curve (AUC) and 0.85/0.86 sensitivity/specificity by only using handwriting data, 0.93 AUC and 0.93/0.94 sensitivity/specificity by only using touch gestural data, and 0.94 AUC and 0.94/0.95 sensitivity/specificity by using both the touch gestural and eye-tracking data. The results can contribute to the optimization of cognitive load and the development of adaptive learning systems for pen-based mobile learning. |
| Abstractor: | As Provided |
| Entry Date: | 2024 |
| رقم الأكسشن: | EJ1411498 |
| قاعدة البيانات: | ERIC |
Full Text Finder | تدمد: | 0007-1013 1467-8535 |
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| DOI: | 10.1111/bjet.13394 |