Predicting Stag and Hare Hunting Behaviors Using Hidden Markov Model
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...
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2020
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ph-ateneo-arc.discs-faculty-pubs-12662022-03-03T03:28:43Z Predicting Stag and Hare Hunting Behaviors Using Hidden Markov Model Bringula, Rex Rodrigo, Ma. Mercedes T 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. 2020-01-01T08:00:00Z text application/pdf https://archium.ateneo.edu/discs-faculty-pubs/265 https://archium.ateneo.edu/cgi/viewcontent.cgi?article=1266&context=discs-faculty-pubs Department of Information Systems & Computer Science Faculty Publications Archīum Ateneo collaborative learning game behavior mathematics mobile learning mobile games Computer Sciences Databases and Information Systems Game Design |
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collaborative learning game behavior mathematics mobile learning mobile games Computer Sciences Databases and Information Systems Game Design Bringula, Rex Rodrigo, Ma. Mercedes T Predicting Stag and Hare Hunting Behaviors Using Hidden Markov Model |
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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. |
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Bringula, Rex Rodrigo, Ma. Mercedes T |
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Bringula, Rex Rodrigo, Ma. Mercedes T |
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Bringula, Rex |
title |
Predicting Stag and Hare Hunting Behaviors Using Hidden Markov Model |
title_short |
Predicting Stag and Hare Hunting Behaviors Using Hidden Markov Model |
title_full |
Predicting Stag and Hare Hunting Behaviors Using Hidden Markov Model |
title_fullStr |
Predicting Stag and Hare Hunting Behaviors Using Hidden Markov Model |
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Predicting Stag and Hare Hunting Behaviors Using Hidden Markov Model |
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predicting stag and hare hunting behaviors using hidden markov model |
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Archīum Ateneo |
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2020 |
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https://archium.ateneo.edu/discs-faculty-pubs/265 https://archium.ateneo.edu/cgi/viewcontent.cgi?article=1266&context=discs-faculty-pubs |
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