Predicting Student Carefulness within an Educational Game for Physics using Support Vector Machines
Student carefulness is defined as being attentive, mindful or focused on the task at hand. In this paper, we create a predictive model for student carefulness within an educational game called Physics Playground (PP). We used game logs and manually-labeled gameplay clips of 54 students from the Phil...
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ph-ateneo-arc.discs-faculty-pubs-11362020-06-26T08:45:06Z Predicting Student Carefulness within an Educational Game for Physics using Support Vector Machines Banawan, Michelle P Rodrigo, Ma. Mercedes T Andres, Juan Miguel L Student carefulness is defined as being attentive, mindful or focused on the task at hand. In this paper, we create a predictive model for student carefulness within an educational game called Physics Playground (PP). We used game logs and manually-labeled gameplay clips of 54 students from the Philippines to develop three support vector regression models that predict carefulness using: (1) predictors of the game developers, (2) predictors from social science research, and (3) the combination of these predictors. After preprocessing and feature selection, the support vector regression models were able to significantly predict student carefulness. This research’ empirical findings suggest that carefulness in Physics Playground can best be predicted by expanding the model of the game developers and including predictors that have been previously researched in the broader social science literature. 2017-01-01T08:00:00Z text https://archium.ateneo.edu/discs-faculty-pubs/137 https://www.apsce.net/icce/icce2017/140.115.135.84/icce/icce2017/sites/default/files/proceedings/main/C1/Predicting%20Student%20Carefulness%20within%20an%20Educational%20Game%20for%20Physics%20using%20Support%20Vector%20Machines.pdf?__cf_chl_jschl_tk__=9c748679466e4adb6cf068b4ab4ae7304ceef99b-1593160679-0-AfCV-I3MzHHlnS8isl9wQgNsy_-Brt0AfaqQplezjH9KwCMoXmIWYyXyT-57Qv6KzhijXCZRToj8CMaP76rKl_Jn0VkM2Uq9U6g6NpfQaakdI176cCqYvr4teEeVCerAkjvRT0G-u55zCqDaXVSTRjPJ03uBVLOfGMpOLLf_nPEpUk3GAa2dT4LXfoUeBhys-T5Iht_n9-x56LHFR8hiCQVvExpbr5BkobItIWTJf6LpDkvGV79WQd9Fyar7ke_6IT4av0bjVQM9uBRUBQn69TMNXC-tLuFEvp1JMDXtXgBzye9LqVEfPmVbWzAJbdir2eY6AUfbBBJGTo4nPFjlotGx5bsrooQ-GWCXMPNmjBLaMRDOk7raRts0M18O-vz-IqP9CD7M386d7Adg6pwwn5OVFIZJBXRZ-1779isp3zKGPFaznuE20nA_oBYnLwTR5QBkpiAvpLts__grp56d7WKi3i9p1K03f4-mS3nvk2CayCY7n451ykQfbUPWZZlvNL5rPjSQ7PwBB59d0ysQKE4n3s6Vdgms6gEO6tJHZWq2 Department of Information Systems & Computer Science Faculty Publications Archīum Ateneo carefulness machine learning support vector machines regression Physics Playground Computer Sciences Educational Technology |
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Ateneo De Manila University |
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carefulness machine learning support vector machines regression Physics Playground Computer Sciences Educational Technology |
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carefulness machine learning support vector machines regression Physics Playground Computer Sciences Educational Technology Banawan, Michelle P Rodrigo, Ma. Mercedes T Andres, Juan Miguel L Predicting Student Carefulness within an Educational Game for Physics using Support Vector Machines |
description |
Student carefulness is defined as being attentive, mindful or focused on the task at hand. In this paper, we create a predictive model for student carefulness within an educational game called Physics Playground (PP). We used game logs and manually-labeled gameplay clips of 54 students from the Philippines to develop three support vector regression models that predict carefulness using: (1) predictors of the game developers, (2) predictors from social science research, and (3) the combination of these predictors. After preprocessing and feature selection, the support vector regression models were able to significantly predict student carefulness. This research’ empirical findings suggest that carefulness in Physics Playground can best be predicted by expanding the model of the game developers and including predictors that have been previously researched in the broader social science literature. |
format |
text |
author |
Banawan, Michelle P Rodrigo, Ma. Mercedes T Andres, Juan Miguel L |
author_facet |
Banawan, Michelle P Rodrigo, Ma. Mercedes T Andres, Juan Miguel L |
author_sort |
Banawan, Michelle P |
title |
Predicting Student Carefulness within an Educational Game for Physics using Support Vector Machines |
title_short |
Predicting Student Carefulness within an Educational Game for Physics using Support Vector Machines |
title_full |
Predicting Student Carefulness within an Educational Game for Physics using Support Vector Machines |
title_fullStr |
Predicting Student Carefulness within an Educational Game for Physics using Support Vector Machines |
title_full_unstemmed |
Predicting Student Carefulness within an Educational Game for Physics using Support Vector Machines |
title_sort |
predicting student carefulness within an educational game for physics using support vector machines |
publisher |
Archīum Ateneo |
publishDate |
2017 |
url |
https://archium.ateneo.edu/discs-faculty-pubs/137 https://www.apsce.net/icce/icce2017/140.115.135.84/icce/icce2017/sites/default/files/proceedings/main/C1/Predicting%20Student%20Carefulness%20within%20an%20Educational%20Game%20for%20Physics%20using%20Support%20Vector%20Machines.pdf?__cf_chl_jschl_tk__=9c748679466e4adb6cf068b4ab4ae7304ceef99b-1593160679-0-AfCV-I3MzHHlnS8isl9wQgNsy_-Brt0AfaqQplezjH9KwCMoXmIWYyXyT-57Qv6KzhijXCZRToj8CMaP76rKl_Jn0VkM2Uq9U6g6NpfQaakdI176cCqYvr4teEeVCerAkjvRT0G-u55zCqDaXVSTRjPJ03uBVLOfGMpOLLf_nPEpUk3GAa2dT4LXfoUeBhys-T5Iht_n9-x56LHFR8hiCQVvExpbr5BkobItIWTJf6LpDkvGV79WQd9Fyar7ke_6IT4av0bjVQM9uBRUBQn69TMNXC-tLuFEvp1JMDXtXgBzye9LqVEfPmVbWzAJbdir2eY6AUfbBBJGTo4nPFjlotGx5bsrooQ-GWCXMPNmjBLaMRDOk7raRts0M18O-vz-IqP9CD7M386d7Adg6pwwn5OVFIZJBXRZ-1779isp3zKGPFaznuE20nA_oBYnLwTR5QBkpiAvpLts__grp56d7WKi3i9p1K03f4-mS3nvk2CayCY7n451ykQfbUPWZZlvNL5rPjSQ7PwBB59d0ysQKE4n3s6Vdgms6gEO6tJHZWq2 |
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