In this article the difficulties present it teaching object-oriented programming and Intelligent Tutoring Systems are exposed. the usefulness of Intelligent Tutoring Systems taking into account technical data mining, among which include artificial neural networks is based. The author explains in the article the proposal of a model, using data mining techniques to extract and analyze information from student interactions with the platform in the process of teaching and learning. To achieve this goal are considered the predominant types of intelligence in each, as will achieve more individualized solutions. The results show a positive impact in solving problems, improving the learning process.
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