A Conceptual Framework for Using the Affective Computing Techniques to Evaluate the Outcome of Digital Game-Based Learning
Autor: | Chih-Hung Wu, Yi-Lin Tzeng, Ray Yueh-Min Huang |
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Rok vydání: | 2013 |
Předmět: |
Computer Science::Machine Learning
business.industry Computer science Projectile motion Physics::Physics Education Eye movement Game based learning Brain waves Machine learning computer.software_genre Outcome (game theory) GeneralLiterature_MISCELLANEOUS Conceptual framework Human–computer interaction Heart beat Artificial intelligence Affective computing business computer |
Zdroj: | Lecture Notes in Electrical Engineering ISBN: 9789400772618 |
DOI: | 10.1007/978-94-007-7262-5_22 |
Popis: | That’s an interesting issue for how the outcome that educators use angry bird to teach projectile motion physics theorem. For verifying the possibility of playing angry bird to learn the projectile motion physics problem, this study design an experiment that include two different learning methods. One is the tradition learning method, and the other one is to learn the projectile motion using Angry Bird. When student learning, their eye movement data, brain wave and heart beat will be measured for analyzing their attention, emotion and the strategy of solving problem. After learning, they take a posttest to prove the digital game-based learning method can help student learning. |
Databáze: | OpenAIRE |
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