Data mining approach to the identification of at-risk students
In recent years, the use of digital tools and technologies in educational institutions are continuing to generate large amounts of digital traces of student learning behavior. This study presents a proof-of-concept analytics system that can detect at-risk students along their learning journey. Educa...
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| Main Authors: | , |
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| Format: | text |
| Language: | English |
| Published: |
Institutional Knowledge at Singapore Management University
2018
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| Subjects: | |
| Online Access: | https://ink.library.smu.edu.sg/sis_research/4339 https://ink.library.smu.edu.sg/context/sis_research/article/5342/viewcontent/DataMining_At_Risk_Students_2018_av.pdf |
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| Institution: | Singapore Management University |
| Language: | English |
