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Prediction of course grades in computer science higher education program via a combination of loss functions in lstm model

In the realm of education, the timely identification of potential challenges, such as learning difficulties leading to dropout risks, and the facilitation of personalized learning, emphasizes the crucial importance of early grade prediction. This study seeks to connect predictive modeling with edu...

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Autori principali:	Ghazvini, Anahita, Mohd Sharef, Nurfadhlina, Sidi, Fatimah
Natura:	Articolo
Lingua:	English
Pubblicazione:	Institute of Electrical and Electronics Engineers 2024
Accesso online:	http://psasir.upm.edu.my/id/eprint/105763/1/Prediction_of_Course_Grades_in_Computer_Science_Higher_Education_Program_via_a_Combination_of_Loss_Functions_in_LSTM_Model.pdf
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