Abstract
L2Code is an Intelligent Tutoring System used for teaching programming courses for different paradigms under a hybrid or blinded environment. It was designed and implemented to work with diverse types of modules oriented to certain ways of learning using principles of Multiple Intelligences. The author tool facilitates the creation of adaptive or personalized learning material to be used in multiple-paradigm programming language courses applying an artificial intelligence approach. The Tutoring System works with a predictive engine that uses a Naive Bayes classifier which operates in real time with the knowledge of the historical performance of the student. We show results of the tool.
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Zatarain-Cabada, R., Barrón-Estrada, M.L., Osorio-Velásquez, J.M., Zepeda-Sánchez, L., Reyes-García, C.A. (2008). L2Code: An Author Environment for Hybrid and Personalized Programming Learning. In: Fong, J., Kwan, R., Wang, F.L. (eds) Hybrid Learning and Education. ICHL 2008. Lecture Notes in Computer Science, vol 5169. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-85170-7_30
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DOI: https://doi.org/10.1007/978-3-540-85170-7_30
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