Research Article
Learning Analytics Model in a Casual Serious Game for Computer Programming Learning
210 downloads
@INPROCEEDINGS{10.1007/978-3-319-51055-2_6, author={Adilson Vahldick and Ant\^{o}nio Mendes and Maria Marcelino}, title={Learning Analytics Model in a Casual Serious Game for Computer Programming Learning}, proceedings={Serious Games, Interaction and Simulation. 6th International Conference, SGAMES 2016, Porto, Portugal, June 16-17, 2016, Revised Selected Papers}, proceedings_a={SGAMES}, year={2017}, month={1}, keywords={Novice programmers Learning analytics Fuzzy systems}, doi={10.1007/978-3-319-51055-2_6} }- Adilson Vahldick
António Mendes
Maria Marcelino
Year: 2017
Learning Analytics Model in a Casual Serious Game for Computer Programming Learning
SGAMES
Springer
DOI: 10.1007/978-3-319-51055-2_6
Abstract
Games have been used by teachers as a support tool to engage students in learning tasks. As they often record student’s performance as learning progresses, it interesting and useful to discuss how that information can be used to assess learning and to improve the learning experience. For instance, teachers can use that information to give personalized attention in classes. In computer programming learning, games can provide an alternative way to introduce concepts and, mainly, to practice them. This paper proposes a model to identify the students’ progress considering their performance in programming tasks. The model is demonstrated by an implementation in a casual computer programming serious game.
Copyright © 2016–2023 ICST