Back close

Assessing Reading Patterns of Learners Through Eye Tracking

Publication Type : Conference Proceedings

Publisher : Springer Nature Switzerland

Source : Lecture Notes in Computer Science

Url : https://doi.org/10.1007/978-3-031-36402-0_71

Campus : Bengaluru

School : School of Computing

Year : 2023

Abstract : Advancement in technology brings about the advent of E-learning which replaces the traditional way of conducting examination using paper and pen. Determining student academic growth merely based on assessment scores is inadequate to help them learn and grow from their mistakes. Non-verbal inkling such as eye gaze can provide insights on the motive and contemplation of the participants that may have affected their performance. The addition of this knowledge can help in obtaining a more realistic system for determining participant performance. This research focuses on 3 different reading patterns of participants and to label them into various categories. It was observed that most of the participants belonged to the novice category, while there was an equal distribution among the participants exhibiting organized and unorganized reading pattern classes, and participants that employed the scanning method tend to answer questions correctly. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Cite this Research Publication : Agashini V. Kumar, Atharwa Wagh, Abdulqahar Mukhtar Abubakar, J. Amudha, K. R. Chandrika, "Assessing Reading Patterns of Learners Through Eye Tracking," 16th International Conference on Multi-disciplinary Trends in Artificial Intelligence, MIWAI 2023, Lecture Notes in Computer Science, Springer Nature Switzerland, 2023, https://doi.org/10.1007/978-3-031-36402-0_71

Admissions Apply Now