A Systematic Mapping on Machine Learning Algorithms and Gamification Applied to Education
A Systematic Mapping on Machine Learning Algorithms and Gamification Applied to Education
By Vinicius Schultz Garcia da Luz, Ezequiel Gueiber, Simone Nasser Matos, Helyane Bronoski Borges, Guataçara dos Santos Júniorand Rui Pedro Lopes
Abstract
“Machine learning algorithms and gamification applied in educational environments promote more accurate information gathering as students interact with games. They allow you to evaluate and analyze data from how to improve gamified tools to stimulate teaching, retain student attention and interest, and optimize learning. This paper has performed a systematic mapping to identify how machine learning algorithms are applied at each game level.”
Reference
Garcia da Luz, V., Gueiber, E., Matos, S., Borges, H., Santos Júnior, G., & Lopes, R. (2021). A systematic mapping on machine learning algorithms and gamification applied to education. Proceedings of the 13th International Conference on Computer Supported Education. doi:10.5220/0010498103530361 https://www.scitepress.org/Papers/2021/104981/104981.pdf
Keyword
Machine learning, education, games, gamification, mapping review, research