Development of eye tracking technology brings new opportunities for use in computer science and e-learning. This paper will present a possible way of how an eye tracker can be used with intelligent tutoring system to enhance learning experience of students. The task of an intelligent tutoring system discussed here is to recognize the degree of students effort when answering questions and then respond with appropriate feedback to motivate student. © 2013 Springer-Verlag.
CITATION STYLE
Lach, P. (2013). Intelligent tutoring systems measuring student’s effort during assessment. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7884 LNAI, pp. 346–351). https://doi.org/10.1007/978-3-642-38457-8_37
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