Abstract
We propose a method and a first authoring tool to assist the design and implementation of diagnostic techniques. This method is independent from the domain and allows building more than one technique at once. The method is based on knowledge representation and a semi-automatic machine learning algorithm. We tested the method in two domains, surgery and reading English. Techniques built with our method beat the majority class in terms of accuracy.
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Lallé, S., Luengo, V., Guin, N. (2013). Assistance in Building Student Models Using Knowledge Representation and Machine Learning. In: Lane, H.C., Yacef, K., Mostow, J., Pavlik, P. (eds) Artificial Intelligence in Education. AIED 2013. Lecture Notes in Computer Science(), vol 7926. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39112-5_105
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DOI: https://doi.org/10.1007/978-3-642-39112-5_105
Publisher Name: Springer, Berlin, Heidelberg
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