[HTML][HTML] Student course grade prediction using the random forest algorithm: Analysis of predictors' importance

M Nachouki, EA Mohamed, R Mehdi… - Trends in Neuroscience …, 2023 - Elsevier
Background Universities need to find strategies for improving student retention rates.
Predicting student academic performance enables institutions to identify underachievers …

Analysis of the factors affecting student performance using a neuro-fuzzy approach

M Abou Naaj, R Mehdi, EA Mohamed, M Nachouki - Education Sciences, 2023 - mdpi.com
Predicting students' academic performance and the factors that significantly influence it can
improve students' completion and graduation rates, as well as reduce attrition rates. In this …

Deep neural network-based prediction and early warning of student grades and recommendations for similar learning approaches

T Tao, C Sun, Z Wu, J Yang, J Wang - Applied Sciences, 2022 - mdpi.com
Studies reported that if teachers can accurately predict students' follow-up learning effects
via data mining and other means, as per their current performances, and explore the …

Optimization of Hyperparameters in Machine Learning for Enhancing Predictions of Student Academic Performance.

M Arifin, W Widowati, F Farikhin - Ingénierie des Systèmes d …, 2023 - search.ebscohost.com
The prediction of student academic performance with high accuracy is of paramount
importance in improving educational outcomes and developing tailored learning …

A comparative study of machine learning algorithms for virtual learning environment performance prediction

E Ismanto, HA Ghani… - IAES International Journal …, 2023 - myscholar.umk.edu.my
Virtual learning environment is becoming an increasingly popular study option for students
from diverse cultural and socioeconomic backgrounds around the world. Although this …

[PDF][PDF] El rendimiento académico universitario durante la pandemia. Un análisis comparativo entre las calificaciones y las percepciones del profesorado

A Bethencourt Aguilar, JJ Sosa Alonso… - 2024 - revistas.um.es
Se presentan los resultados obtenidos en un estudio empírico cuyos objetivos eran: a)
analizar las calificaciones académicas del alumnado obtenidas en el periodo pandémico y …

Predictive Model for Clustering Learning Outcomes Affected by COVID-19 Using Ensemble Learning Techniques.

WS Nuankaew, P Nuankaew - International Journal of Educational …, 2023 - ERIC
The influence of COVID-19 has caused a sudden change in learning patterns. Therefore,
this research studied the learning achievement modified by online learning patterns affected …

¿ Aumentó el rendimiento académico del alumnado durante la pandemia? Un análisis comparativo entre las calificaciones y las percepciones del profesorado

A Bethencourt-Aguilar, JJ Sosa-Alonso… - Revista de Educación …, 2024 - revistas.um.es
Se presentan los resultados obtenidos en un estudio empírico cuyos objetivos eran: a)
analizar las calificaciones académicas del alumnado obtenidas en el periodo pandémico y …

Prediksi Kelulusan Siswa Sekolah Menengah Pertama Menggunakan Machine Learning

AFA Naibaho, A Zahra - Jurnal Informatika Dan Teknik …, 2023 - journal.eng.unila.ac.id
In recent years, there has been a number of students who graduated late at Lubuk Alung 1 st
State Junior Highschool. This statement is supported by graduation data from Lubuk Alung 1 …

Improving Academic Advising in Engineering Education with Machine Learning Using a Real-World Dataset

M Maphosa, W Doorsamy, B Paul - Algorithms, 2024 - mdpi.com
The role of academic advising has been conducted by faculty-student advisors, who often
have many students to advise quickly, making the process ineffective. The selection of the …