Affiliations:
Department of Computer Science, CINVESTAV-IPN, Av. Instituto Politécnico Nacional No. 2508, Col. San Pedro Zacatenco, Del. Gustavo A. Madero, C.P. 07300 Mexico City, Mexico
Correspondence:
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Corresponding author. Sonia Mendoza, Department of Computer Science, CINVESTAV-IPN, Av. Instituto Politécnico Nacional No. 2508, Col. San Pedro Zacatenco, Del. Gustavo A. Madero, C.P. 07300 Mexico City, Mexico. Tel: (+52 55) 5747 3800/Exts. 3756, 3758; Fax: (+52 55) 5747 3757; E-mail: smendoza@cs.cinvestav.mx.
Abstract: Nowadays, chatbots have become popular tools in such a way that they are used in different sectors like commercial, elderly care, tourism, and education. The COVID-19 pandemic has forced many students and teachers to suspend face-to-face classes. Therefore, schools and governments have found it necessary to continue education remotely, using the resources provided by the Internet. This fact has created a greater interest in educational chatbots, so several projects have been proposed to develop these academic tools, each following its way of implementation and addressing issues from different points of view. This paper presents a proposal for chatbot classification, following the Systematic Mapping Study and an iterative method to review and classify educational chatbots. We also discuss the resulting categories and their characteristics and limitations and possible uses by developers and researchers.
