Leveraging Eye Tracking in Digital Classrooms: A Step Towards Multimodal Model for Learning Assistance

Author:

Byrne Sean Anthony1ORCID,Castner Nora2ORCID,Kastrati Ard3ORCID,Płomecka Martyna Beata4ORCID,Schaefer William5ORCID,Kasneci Enkelejda6ORCID,Bylinskii Zoya7ORCID

Affiliation:

1. MoMiLab, IMT School for Advanced Studies, IMT Lucca, Italy

2. Human-Computer Interaction/ Wilhelm-Schickard-Institute, University of Tübingen, Germany

3. Computer Engineering and Networks Laboratory, ETH Zurich, Switzerland

4. Methods of Plasticity Reasearch, University of Zurich, Switzerland

5. Academic Innovation, University of Texas at San Antonio, United States

6. Technical University of Munich, Germany

7. Adobe Research, United States

Publisher

ACM

Reference35 articles.

1. Detecting students-at-risk in computer programming classes with learning analytics from students’ digital footprints

2. Jonathan Bidwell and Henry Fuchs . 2011. Classroom analytics: Measuring student engagement with automated gaze tracking. Behav Res Methods 49, 113 ( 2011 ). Jonathan Bidwell and Henry Fuchs. 2011. Classroom analytics: Measuring student engagement with automated gaze tracking. Behav Res Methods 49, 113 (2011).

3. G. Bradski . 2000. The OpenCV Library. Dr. Dobb’s Journal of Software Tools ( 2000 ). G. Bradski. 2000. The OpenCV Library. Dr. Dobb’s Journal of Software Tools (2000).

4. Nora Castner , Lea Geßler , David Geisler , Fabian Hüttig , and Enkelejda Kasneci . 2020 . Towards expert gaze modeling and recognition of a user’s attention in realtime . In 24th International Conference on Knowledge-based and Intelligent Information & Engineering Systems. Nora Castner, Lea Geßler, David Geisler, Fabian Hüttig, and Enkelejda Kasneci. 2020. Towards expert gaze modeling and recognition of a user’s attention in realtime. In 24th International Conference on Knowledge-based and Intelligent Information & Engineering Systems.

5. A gaze-based study design to explore how competency evolves during a photo manipulation task

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