Transforming education with deep learning: A systematic review on predicting student performance and critical challenges

QR Code

Transforming education with deep learning: A systematic review on predicting student performance and critical challenges

Deep learning (DL) is recognized as a breakthrough in the educational technology arena, more so in the sense that it can be applied for forecasting student performance and critical issues in academic systems. This systematic review is used to investigate advances in the DL-based system-to-predicting...

Full description

Bibliographic Details
Main Authors:	Nazir, M., Noraziah, Ahmad, Rahmah, Mokhtar, Fakherldin, Mohammed, Khawaji, Ahmad
Format:	Article
Language:	English
Published:	American Scientific Publishing Group (ASPG) 2025
Subjects:	LB Theory and practice of education QA75 Electronic computers. Computer science
Online Access:	https://umpir.ump.edu.my/id/eprint/43706/

Similar Items

Examining the potential of machine learning for predicting academic achievement: A systematic review
by: Nazir, M., et al.
Published: (2023)

Students’ Performance Prediction in Higher Education Using Multi-Agent Framework-Based Distributed Data Mining Approach: A Review
by: Nazir, M., et al.
Published: (2023)

Wood Plastic Composites (WPC)-Challenges in Prediction of Properties
by: Gupta, Ritu, et al.
Published: (2017)

Development of predictive modeling and deep learning classification of taxi trip tolls
by: Al-Shoukry, Suhad, et al.
Published: (2022)

Systematic Literature Review on Visual Analytics of Predictive Maintenance in the Manufacturing Industry
by: Cheng, Xiang, et al.
Published: (2022)

Development of a deep learning model for prediction of cardiovascular disease
by: Mohd Syafiq Asyraf, Suhaimi, et al.
Published: (2025)

Parameter prediction for Lorenz Attractor by using Deep Neural Network
by: Nurnajmin Qasrina Ann, Ayop Azmi, et al.
Published: (2020)

A survey of statistical approaches for query expansion
by: Raza, Muhammad Ahsan, et al.
Published: (2018)

Mining significant association rules from educational data using critical relative support approach
by: Zailani, Abdullah, et al.
Published: (2011)

Review on Green Technology Implementation Challenges in University Data Centre
by: Mohd, Rashid, et al.
Published: (2017)

A review on recent advances in deep learning for sentiment analysis: Performances, challenges and limitations
by: Islam, Md Shofiqul, et al.
Published: (2020)

A Model for Visualizing Critical Least Association Rules
by: Noraziah, Ahmad, et al.
Published: (2014)

Critical challenges in access management schemes for smartphones: an appraisal
by: Mehraj, Tehseen, et al.
Published: (2019)

Applications of ontology in the internet of things: A systematic analysis
by: Qaswar, Fahad, et al.
Published: (2023)

A big data prediction framework for weather forecast using MapReduce algorithm
by: Khalid, Adam, et al.
Published: (2017)

A Critical Review on Selected Fuzzy Min-Max Neural Networks and Their Significance and Challenges in Pattern Classification
by: Alhroob, Essam, et al.
Published: (2019)

A systematic review on flood early warning and response system (FEWRS): A deep review and analysis
by: Hammood, Waleed A., et al.
Published: (2021)

Sensual Semantic Analysis for Effective Query Expansion
by: Raza, Muhammad Ahsan, et al.
Published: (2018)

Transforming education with cutting-edge technology
by: Mohamed Ariff, Ameedeen
Published: (2022)

Flood Prediction Based On Deep Learning Networks With Variational Mode Decomposition
by: Ni, Chenmin
Published: (2024)

Clustering Ensemble And Hybrid Of Deep Learning For Spatio-Temporal Crime Predictions
by: Butt, Umair Muneer
Published: (2024)

ANN-based performance analysis on human activity recognition
by: Elzein, Nahla Mohammed, et al.
Published: (2020)

Key Transformation Approach for Rijndael Security
by: Sulong, Mek Rahmah
Published: (2008)

The rise of deep learning in cyber security: Bibliometric analysis of deep learning and malware
by: Nur Khairani, Kamarudin, et al.
Published: (2024)

Recent Advances in Big Data: Features, Classification, Analytics, Research Challenges, and Future Trends
by: Mahmood, Khalid, et al.
Published: (2020)

A systematic literature review of an advisory system
by: Ain Nadhira, Mohd Taib, et al.
Published: (2024)

Transformation of University College to University: Academics’ Perception of the Challenges
by: Sara Asmawati, Shariffuddin, et al.
Published: (2020)

Deep Learning-Based Predictive Modeling for Male Depression Detection
by: R. S. Lakshmi, Balaji, et al.
Published: (2025)

Learner's Positive and Negative Emotion Prediction using i-Emotion
by: Nurshafiqa Saffah, Mohd Sharif, et al.
Published: (2016)

A taxonomy and survey of semantic approaches for query expansion
by: Raza, Muhammad Ahsan, et al.
Published: (2019)

A Review of Big Data and Predictive Analytics Application in Supply Chain Management; New Areas, Challenges and Future Research
by: Nazir, Affaf
Published: (2020)

A Systematic Survey on the Research of AI-predictive Models for Wastewater Treatment Processes
by: Mohan, Varun Geetha, et al.
Published: (2023)

Technical approach in text mining for stock market prediction: a systematic review
by: Islam, Mohammad Rabiul, et al.
Published: (2018)

A systematic literature review on necessity,challenges, applications and attacks of watermarking relational database
by: Alfagi, Abdalrahman, et al.
Published: (2017)

Software Requirements Prioritisation: A Systematic Literature Review on Significance, Stakeholders, Techniques and Challenges
by: Hujainah, Fadhl, et al.
Published: (2018)

The Impact of Exponent Variable on the Performance and Effectiveness of FCM Algorithm for Ontology Construction in Structured Knowledge Management
by: Mahmood, Khalid, et al.
Published: (2021)

Comparison of Statistic Prediction Results in Weka Explorer Interface and Experimenter Environment Interface on Dataset
by: Thamer Khalil, Esmeel, et al.
Published: (2019)

Big Data: Issues, Challenges, Technologies and Methods
by: Khalid, Adam, et al.
Published: (2015)

Hybrid Deep Networks Based On Periodshift Cosine Annealing For Customer Retention Prediction In Telecom Industry
by: Victor, Johnson Olanrewaju
Published: (2024)

A Methodology for Engineering Domain Ontology using Entity Relationship Model
by: Raza, Muhammad Ahsan, et al.
Published: (2019)