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2021 | OriginalPaper | Buchkapitel

SACIP: An Agent-Based Constructionist Adaptive System for Programming Beginners

verfasst von : Adson M. da S. Esteves, Aluizio Haendchen Filho, André Raabe, Rudimar L. S. Dazzi

Erschienen in: Enterprise Information Systems

Verlag: Springer International Publishing

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Abstract

Brazilian universities have a high dropout rate in Computing courses. We believe E-learning personalized solutions can help to reduce this problem. This paper presents an architectural model for an adaptive system called SACIP that uses learning paths to deliver personalized assistance for students learning to program. Constructivist and constructionist theories were used as guidelines for the system modeling, and a collaborative multiagent system was developed to assist students in their choice of paths. Details of the SACIP implementation on different platforms are described, as well as its benefits and advantages over similar adaptive systems that use learning paths in a distinct manner. The application of SACIP with beginners in programming is aimed to facilitate learning, allow curricular flexibility and help to reduce dropout rates in Computing courses.

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Titel: SACIP: An Agent-Based Constructionist Adaptive System for Programming Beginners
verfasst von: Adson M. da S. Esteves
Aluizio Haendchen Filho
André Raabe
Rudimar L. S. Dazzi
Verlag: Springer International Publishing
Buch: Enterprise Information Systems
Print ISBN: 978-3-030-75417-4

Electronic ISBN: 978-3-030-75418-1

Copyright-Jahr: 2021
DOI: https://doi.org/10.1007/978-3-030-75418-1_27

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