Modeling engagement of programming students using unsupervised machine learning technique
Engagement is instrumental to students’ learning and academic achievements. In this study, we model the engagement states of students who are working on programming exercises in an intelligent tutoring system. Head pose, keystrokes and action logs of students automatically captured within the tutori...
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Main Authors: | , |
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Format: | text |
Language: | English |
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Institutional Knowledge at Singapore Management University
2018
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Online Access: | https://ink.library.smu.edu.sg/sis_research/6971 https://ink.library.smu.edu.sg/context/sis_research/article/7974/viewcontent/Model_Engagement_Programming_2018_pvoa.pdf |
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Institution: | Singapore Management University |
Language: | English |
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