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1. Introduction Educational institutions are treasure troves of data, comprising detailed information about the institutions and their student body, notably academic performances. Harnessing this wealth of data is pivotal for these institutions, as it holds the key to unlocking actionable insights. For instance, a sophisticated predictive model that can accurately interpret this data is indispensable for fostering students’ academic success.
Preprint Article Version 1 This version is not peer-reviewed Version 1 : Received: 18 February 2024 / Approved: 18 February 2024 / Online: 19 February 2024 (14:50:58 CET) Baniata, L.H.; Kang, S.; Alsharaiah, M.A.; Baniata, M.H. Advanced Deep Learning Model for Predicting Academic Performance in Students at Educational Institutions. Preprints 2024, 2024020974.
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