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A Game Based e-Learning System to Teach Artificial Intelligence in the Computer Sciences Degree

Authors :
International Association for Development of the Information Society (IADIS)
de Castro-Santos, Amable
Fajardo, Waldo
Molina-Solana, Miguel
Source :
International Association for Development of the Information Society. 2017.
Publication Year :
2017

Abstract

Our students taking the Artificial Intelligence and Knowledge Engineering courses often encounter a large number of problems to solve which are not directly related to the subject to be learned. To solve this problem, we have developed a game based e-learning system. The elected game, that has been implemented as an e-learning system, allows to develop Artificial Intelligence Decision Making Systems of very diverse complexity level. The e-learning system discharges the students of doing work not directly related with the Artificial Intelligence and Knowledge Engineering problems. This way, students can try their development and self-evaluate their progression level. The results obtained after using this e-learning system with the students (during the Artificial Intelligence and Knowledge Engineering course) show a substantial improvement in students' learning outcomes. [The authors thank the Secretariat for Teaching Innovation of the University of Granada for the funding provided for the development of this project. For the complete proceedings, see ED579335.]

Details

Language :
English
Database :
ERIC
Journal :
International Association for Development of the Information Society
Publication Type :
Report
Accession number :
ED579392
Document Type :
Reports - Research<br />Speeches/Meeting Papers