Student-Performulator: Student Academic Performance Using Hybrid Deep Neural Network
Student-Performulator: Student Academic Performance Using Hybrid Deep Neural Network
About this item
Full title
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Publisher
Basel: MDPI AG
Journal title
Language
English
Formats
Publication information
Publisher
Basel: MDPI AG
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Scope and Contents
Contents
Educational data generated through various platforms such as e-learning, e-admission systems, and automated result management systems can be effectively processed through educational data mining techniques in order to gather highly useful insights into students’ performance. The prediction of student performance from historical academic data is a h...
Alternative Titles
Full title
Student-Performulator: Student Academic Performance Using Hybrid Deep Neural Network
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Record Identifier
TN_cdi_proquest_journals_2571538208
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2571538208
Other Identifiers
ISSN
2071-1050
E-ISSN
2071-1050
DOI
10.3390/su13179775
