An Adaptive System Architecture Model for the Study of Logic and Programming with Learning Paths

Adson Esteves, Aluízio Haendchen Filho, André Raabe, Rudimar Dazzi

2020

Abstract

The number of dropouts and evasion rates in computing courses are among the highest in Brazilian universities. To reduce this rate, eLearning technologies are being used to compose solutions. Because of such reality, this work aims at showing an adaptive system architecture with learning paths that best fit the student’s profiles and interests. In order to take student’s profiles and interests into account, two theories will be used: constructivist and constructionist. The fundamentals of these theories were analysed to formulate a teaching structural model for the system. The literature was researched to find adaptive systems with theories similar to constructivism and constructionism. Then it was designed a collaborative agent system based on intelligent software agent techniques to help the student on its paths and content choices. In this system, the student’s difficulties, characteristics, and knowledge obtained from other users can be reused. An environment with a content hierarchy which allows more attractive learning path construction options may ease the learning, make the study more interesting and help reduce evasion rates in computing courses.

Paper Citation

in Harvard Style

Esteves A., Haendchen Filho A., Raabe A. and Dazzi R. (2020). An Adaptive System Architecture Model for the Study of Logic and Programming with Learning Paths.In Proceedings of the 22nd International Conference on Enterprise Information Systems - Volume 1: ICEIS, ISBN 978-989-758-423-7, pages 679-690. DOI: 10.5220/0009412406790690

in Bibtex Style

@conference{iceis20,
author={Adson Esteves and Aluizio Haendchen Filho and André Raabe and Rudimar Dazzi},
title={An Adaptive System Architecture Model for the Study of Logic and Programming with Learning Paths},
booktitle={Proceedings of the 22nd International Conference on Enterprise Information Systems - Volume 1: ICEIS,},
year={2020},
pages={679-690},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009412406790690},
isbn={978-989-758-423-7},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 22nd International Conference on Enterprise Information Systems - Volume 1: ICEIS,
TI - An Adaptive System Architecture Model for the Study of Logic and Programming with Learning Paths
SN - 978-989-758-423-7
AU - Esteves A.
AU - Haendchen Filho A.
AU - Raabe A.
AU - Dazzi R.
PY - 2020
SP - 679
EP - 690
DO - 10.5220/0009412406790690