On Developing Generic Models for Predicting Student Outcomes in Educational Data Mining
Poor academic performance of students is a concern in the educational sector, especially if it leads to students being unable to meet minimum course requirements. However, with timely prediction of students’ performance, educators can detect at-risk students, thereby enabling early interventions for...
Main Authors: | Gomathy Ramaswami, Teo Susnjak, Anuradha Mathrani |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-01-01
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Series: | Big Data and Cognitive Computing |
Subjects: | |
Online Access: | https://www.mdpi.com/2504-2289/6/1/6 |
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