Aggregating Time Series and Tabular Data in Deep Learning Model for University Students’ GPA Prediction

Aggregating Time Series and Tabular Data in Deep Learning Model for University Students’ GPA Prediction

Current approaches of university students’ Grade Point Average (GPA) prediction rely on the use of tabular data as input. Intuitively, adding historical GPA data can help to improve the performance of a GPA prediction model. In this study, we present a dual-input deep learning model that...

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Bibliographic Details
Main Authors: Harjanto Prabowo, Alam Ahmad Hidayat, Tjeng Wawan Cenggoro, Reza Rahutomo, Kartika Purwandari, Bens Pardamean
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Educational data mining
deep learning
GPA prediction
time-series data
tabular data
Online Access:https://ieeexplore.ieee.org/document/9452125/

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