Authors:
David Mauricio Valoyes-Porras
;
Juan Sebastián Rodríguez-Obregón
;
David Mauricio Salamanca-Sánchez
and
Miguel Alfonso Feijóo-García
Affiliation:
Program of Systems Engineering, Universidad El Bosque, Bogotá, Colombia
Keyword(s):
User-centered Interaction, User Experience, Artificial Intelligence, Recommendation System, Computer Science Education.
Abstract:
Learning difficulties in Computer Science (CS) are a multicausal problem that promotes student dropout in CS undergraduate programs. This results from the students’ psychological, emotional, and motivational implications, affecting their academic performance. We present RetoñosApp, as a web-based and user-centered platform supported by Artificial Intelligence (AI) that assists the teaching and learning processes for CS. It fosters the students’ autonomous learning, and provides accompaniment and feedback to students during their academic term, and CS instructors on their students’ learning processes. This web-based tool uses a Conversational Bot as an autonomous and synchronous virtual tutor, and a Content-based Recommendation System to generate customized reports with “educational routes” to students and instructors, based on their needs. We evaluated this web-based tool, and reported the findings and results, considering its efficiency and effectiveness, based on the participants’
interaction. This, in order to answer how the platform supported and complemented the teaching and learning processes of programming in CS, evaluating its potential to be part of the educational methodology of further CS undergraduate courses. Our findings from the pilot study suggest that RetoñosApp effectively provides a friendly user-centered asynchronous assistance and enhancement to learning processes, and frequent feedback on teaching processes.
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