1. Ben Khedher, A., & Frasson, C. (2016). Predicting User Learning Performance From Eye Movements During Interaction With a Serious Game. Paper presented at the EdMedia: World Conference on Educational Media and Technology
2. Ben Khedher, A., Jraidi, I., & Frasson, C. (2017). Assessing Learners’ Reasoning Using Eye Tracking and a Sequence Alignment Method. Paper presented at the International Conference on Intelligent Computing
3. A. Ben Khedher, I. Jraidi, C. Frasson, Local sequence alignment for scan path similarity assessment. International Journal of Information and Education Technology 8(7) (2018)
4. Blascheck, T., Kurzhals, K., Raschke, M., Burch, M., Weiskopf, D., & Ertl, T. (2014). State-Of-The-Art of Visualization for Eye Tracking Data. Paper presented at the Proceedings of EuroVis
5. Byun, J., Loh, C., & Zhou, T. (2014). Assessing play-learners’ performance in serious game environments by using In Situ data: Using eye tracking for Serious Game Analytics. Paper presented at the Annual Conference of the Association for Educational Communications and Technology (AECT), Jacksonville, FL