Enhancing Graduate Academic Performance Prediction and Classification: An Analysis Using the Enhanced Correlated Feature Set Model.
Complex assessment processes and limited improvement opportunities contribute to the
challenges currently confronting higher education institutions. Recent focus shifts in …
challenges currently confronting higher education institutions. Recent focus shifts in …
Hybrid Data Science Approaches to Predict the Academic Performance of Students
S Malik, S Malik - International Conference on Emerging Research in …, 2023 - Springer
Understanding, modeling, and predicting student performance in higher education poses
significant challenges concerning the design of accurate and robust diagnostic models …
significant challenges concerning the design of accurate and robust diagnostic models …
Feature extraction for next-term prediction of poor student performance
Developing tools to support students and learning in a traditional or online setting is a
significant task in today's educational environment. The initial steps toward enabling such …
significant task in today's educational environment. The initial steps toward enabling such …
Graduation student academic performance analysis using corelated feature model
The Graduation Student Academic Performance Analysis using Correlated Feature Model is
a study that aims to analyze the academic performance of students using a correlated …
a study that aims to analyze the academic performance of students using a correlated …
Enhancing data pipelines for forecasting student performance: integrating feature selection with cross-validation
R Bertolini, SJ Finch, RH Nehm - International Journal of Educational …, 2021 - Springer
Educators seek to harness knowledge from educational corpora to improve student
performance outcomes. Although prior studies have compared the efficacy of data mining …
performance outcomes. Although prior studies have compared the efficacy of data mining …
Student-performulator: student academic performance using hybrid deep neural network
Educational data generated through various platforms such as e-learning, e-admission
systems, and automated result management systems can be effectively processed through …
systems, and automated result management systems can be effectively processed through …
Predicting and Analyzing College Students' Performance Based on Multifaceted Data Using Machine Learning
Y Sun, Z Tan, Z Li, S Long - 2022 4th International Conference …, 2022 - ieeexplore.ieee.org
During the teaching process of college courses, prediction of students' final performance at
early stages can help teachers intervene students and improve the teaching effects. In …
early stages can help teachers intervene students and improve the teaching effects. In …
A University Student Performance Prediction Model and Experiment Based on Multi-Feature Fusion and Attention Mechanism
D Sun, R Luo, Q Guo, J Xie, H Liu, S Lyu, X Xue… - IEEE …, 2023 - ieeexplore.ieee.org
Predicting student performance is a crucial research area in educational data mining.
Student grades are influenced by various factors such as past academic performance, family …
Student grades are influenced by various factors such as past academic performance, family …
An Adaptive Feature Selection Algorithm for Student Performance Prediction
Educational Data Mining (EDM) is used to ameliorate the teaching and learning process by
analyzing and classifying data that can be applied to predict the students' academic …
analyzing and classifying data that can be applied to predict the students' academic …
Student Performance Prediction Approach Based on Educational Data Mining
Z Chen, G Cen, Y Wei, Z Li - IEEE Access, 2023 - ieeexplore.ieee.org
Predicting student performance is crucial for improving students' future academic
achievements. Within student groups, common characteristics can reveal trends in overall …
achievements. Within student groups, common characteristics can reveal trends in overall …