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Towards Eye Tracking based Learning Style Identification

Published: 19 June 2023 Publication History

Abstract

The dropout rate at universities has been very high for years. Thereby, the inexperience and lack of knowledge of students in dealing with individual learning paths in various courses of study plays a decisive role. Adaptive learning management systems are suitable countermeasures, in which learners’ learning styles are classified using questionnaires or computationally intensive algorithms before a learning path is suggested accordingly. In this paper, a study design for student learning style classification using eye tracking is presented. Furthermore, qualitative and quantitative analyses clarify certain relationships between students’ eye movements and learning styles. With the help of classification based on eye tracking, the filling out of questionnaires or the integration of computationally or cost-intensive algorithms can be made redundant in the future.

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Cited By

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  • (2024)An Educational Perspective on Eye Tracking in Engineering SciencesProceedings of the 2024 Symposium on Eye Tracking Research and Applications10.1145/3649902.3653945(1-7)Online publication date: 4-Jun-2024
  • (2024)Uncovering Learning Styles through Eye Tracking and Artificial IntelligenceProceedings of the 2024 Symposium on Eye Tracking Research and Applications10.1145/3649902.3653940(1-7)Online publication date: 4-Jun-2024
  • (2024)Time Series Classification for Eye Tracking-Based Visual-Verbal Learning Style2024 16th International Conference on Information Technology and Electrical Engineering (ICITEE)10.1109/ICITEE62483.2024.10808574(91-96)Online publication date: 23-Oct-2024
  • Show More Cited By

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cover image ACM Other conferences
ECSEE '23: Proceedings of the 5th European Conference on Software Engineering Education
June 2023
264 pages
ISBN:9781450399562
DOI:10.1145/3593663
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 19 June 2023

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Author Tags

  1. Eye Tracking
  2. Felder Silverman Learning Style Model (FSLSM)
  3. Learning Management System (LMS)
  4. Learning Style

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  • Research-article
  • Research
  • Refereed limited

Funding Sources

  • German Federal Ministry of Education and Research
  • FH-Invest

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ECSEE 2023

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Overall Acceptance Rate 11 of 16 submissions, 69%

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Cited By

View all
  • (2024)An Educational Perspective on Eye Tracking in Engineering SciencesProceedings of the 2024 Symposium on Eye Tracking Research and Applications10.1145/3649902.3653945(1-7)Online publication date: 4-Jun-2024
  • (2024)Uncovering Learning Styles through Eye Tracking and Artificial IntelligenceProceedings of the 2024 Symposium on Eye Tracking Research and Applications10.1145/3649902.3653940(1-7)Online publication date: 4-Jun-2024
  • (2024)Time Series Classification for Eye Tracking-Based Visual-Verbal Learning Style2024 16th International Conference on Information Technology and Electrical Engineering (ICITEE)10.1109/ICITEE62483.2024.10808574(91-96)Online publication date: 23-Oct-2024
  • (2024)Application of artificial intelligence in higher education institutions for developing soft skills of future specialists in the sphere of information technologyJournal of Physics: Conference Series10.1088/1742-6596/2871/1/0120272871:1(012027)Online publication date: 1-Oct-2024
  • (2023)Towards Learning Style Prediction based on PersonalityProceedings of the 5th European Conference on Software Engineering Education10.1145/3593663.3593682(48-55)Online publication date: 19-Jun-2023

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