Academic Warning for College Students for Predicting Student Dropout Rate using Dipper Throated Optimization Algorithm

From past few years, educational institutions record student details for monitoring and analysing individual student performance based on their courses. The academic warning for college students who are logged into the system, the details accessed at the time of learning stage and number of times th...

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Veröffentlicht in:	2024 First International Conference on Software, Systems and Information Technology (SSITCON) S. 1 - 5
1. Verfasser:	Wang, Meilin
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 18.10.2024
Schlagworte:	academic warning for college students Accuracy Computer aided instruction dipper throated optimization dropout Electronic learning Feature extraction massive open online courses Optimization prediction Predictive models Scalability Software systems support vector machine Support vector machines Vectors z-score normalization
Online-Zugang:	Volltext
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