Document Type
Conference Proceeding
Publication Date
2020
Abstract
In this paper, we used Hidden Markov Model (HMM) to describe the gaming behaviors of students and whether they will exhibit “stag” or “hare” hunting behavior in a mobile game for mathematics learning. We found that there is a 99% probability that the students will stay either as stag or hare hunters. Our results also suggest that they would choose arithmetic problems involving addition. These game behaviors are not beneficial to learning because they are only exhibiting mathematical skills they already know. The results of the study show that stag and hare hunters have unique traits that separate the one from the other.
Recommended Citation
Bringula, R., & Rodrigo, Ma. M. (2020). Predicting Stag and Hare Hunting Behaviors Using Hidden Markov Model. In H.-J. So, Ma. M. Rodrigo, J. Mason, & A. Mitrovic (Eds.), 28th International Conference on Computers in Education Conference Proceedings Volume I (pp. 403–405). Asia-Pacific Society for Computers in Education (APSCE). https://apsce.net/icce/icce2020/index.html@p=2159.html
