Abstract
In this paper we introduce What, an intelligent tutor for learning the functional programming language Haskell. What adapts its behavior not only individually for each student but also by considering the performance of similar students. The core of its adaptive part is based on the classification of students into classes (groups of students sharing some attributes). By doing that, the behavior of past students of the same class determines how What interacts, in the future, with students of that class. That is, What learns how to deal with each type of student. Besides, the general model of each class is instantiated for each student in order to better fit the particular learning needs.
Work partially supported by the CICYT project TIC2000-0701-C02-01.
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López, N., Núñez, M., Rodríguez, I., Rubio, F. (2002). What: Web-Based Haskell Adaptive Tutor. In: Scott, D. (eds) Artificial Intelligence: Methodology, Systems, and Applications. AIMSA 2002. Lecture Notes in Computer Science(), vol 2443. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-46148-5_8
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DOI: https://doi.org/10.1007/3-540-46148-5_8
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