An ensemble deep learning model for classification of students as weak and strong learners via multiparametric analysis

An ensemble deep learning model for classification of students as weak and strong learners via multiparametric analysis

Abstract Academic data predictions are significantly important for improving the overall education system's effectiveness by providing early identification of weak students and personalized learning strategies. This paper proposes a deep learning model for the identification of weak and strong...

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Bibliographic Details
Main Authors: Harjinder Kaur, Tarandeep Kaur, Vivek Bhardwaj, Mukesh Kumar
Format: Article
Language:English
Published: Springer 2024-11-01
Series:Discover Applied Sciences
Subjects:
Ensemble deep learning
Multiparametric analysis
Student identification
Academic performance
Custom 1D CNN
Online learning scenarios
Online Access:https://doi.org/10.1007/s42452-024-06274-6
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https://doi.org/10.1007/s42452-024-06274-6

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