Static and dynamic eye movement metrics for students’ performance assessment
Open Access
- 6 September 2018
- journal article
- research article
- Published by Springer Science and Business Media LLC in Smart Learning Environments
- Vol. 5 (1), 1-12
- https://doi.org/10.1186/s40561-018-0065-y
Abstract
No abstract availableKeywords
Funding Information
- Social Sciences and Humanities Research Council of Canada (895-2011-1006)
This publication has 32 references indexed in Scilit:
- Local Sequence Alignment for Scan Path Similarity AssessmentInternational Journal of Information and Education Technology, 2018
- Assessing Learners’ Reasoning Using Eye Tracking and a Sequence Alignment MethodLecture Notes in Computer Science, 2017
- Eye Tracking and Web ExperienceAIS Transactions on Human-Computer Interaction, 2014
- Predicting Affect from Gaze Data during Interaction with an Intelligent Tutoring SystemLecture Notes in Computer Science, 2014
- A Hierarchical Probabilistic Framework for Recognizing Learners’ Interaction Experience Trends and EmotionsAdvances in Human-Computer Interaction, 2014
- PRIOR KNOWLEDGE AND ONLINE INQUIRY-BASED SCIENCE READING: EVIDENCE FROM EYE TRACKINGInternational Journal of Science and Mathematics Education, 2013
- Biometric identification via eye movement scanpaths in readingPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2011
- Happy mouth and sad eyes: Scanning emotional facial expressions.Emotion, 2011
- The use of eye movements in the study of multimedia learningLearning and Instruction, 2010
- Scanpath comparison revisitedPublished by Association for Computing Machinery (ACM) ,2010