Abstract
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.
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Lach, P. (2013). Intelligent Tutoring Systems Measuring Student’s Effort During Assessment. In: Zaïane, O.R., Zilles, S. (eds) Advances in Artificial Intelligence. Canadian AI 2013. Lecture Notes in Computer Science(), vol 7884. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38457-8_37
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DOI: https://doi.org/10.1007/978-3-642-38457-8_37
Publisher Name: Springer, Berlin, Heidelberg
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