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Title:
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A GAME BASED E-LEARNING SYSTEM TO TEACH ARTIFICIAL INTELLIGENCE IN THE COMPUTER SCIENCES DEGREE |
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Author(s):
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Amable de Castro-Santos, Waldo Fajardo and Miguel Molina-Solana |
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ISBN:
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978-989-8533-63-0 |
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Editors:
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Miguel Baptista Nunes and Maggie McPherson |
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Year:
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2017 |
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Edition:
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Single |
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Keywords:
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E-learning, Collaborative Learning, Problem-based Learning, Game-based Learning, Artificial Intelligence Learning |
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Type:
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Full Paper |
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First Page:
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25 |
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Last Page:
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31 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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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 studentsÂ’ learning outcomes. |
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