Abstract
Intelligent Tutoring Systems (ITS) are software tools that mimic a teacher’s teaching methods through artificial intelligence techniques. The generalized model of these systems is divided into four main modules: tutoring, student, domain, and interface. Although it has been shown that ITS is very useful in cases where a teacher cannot be present, the development of these systems is expensive and time-consuming, since it requires experts and available programmers. Therefore, this research proposes a framework to develop an authoring tool to build ITS automatically, with a focus on the domain module. We consider that the domain model represents the most important module of the ITS because it contains the knowledge that should be taught and evaluated. Based on this module, the rest of the modules will make decisions.
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Ramírez-Noriega, A. et al. (2019). Towards the Automatic Construction of an Intelligent Tutoring System: Domain Module. In: Rocha, Á., Adeli, H., Reis, L., Costanzo, S. (eds) New Knowledge in Information Systems and Technologies. WorldCIST'19 2019. Advances in Intelligent Systems and Computing, vol 930. Springer, Cham. https://doi.org/10.1007/978-3-030-16181-1_28
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