Predicting academic performance for college students: a campus behavior perspective

H Yao, D Lian, Y Cao, Y Wu, T Zhou - ACM Transactions on Intelligent …, 2019 - dl.acm.org
Detecting abnormal behaviors of students in time and providing personalized intervention
and guidance at the early stage is important in educational management. Academic …

[PDF][PDF] Predict students' academic performance based on their assessment grades and online activity data

A Alhassan, B Zafar, A Mueen - International Journal of Advanced …, 2020 - researchgate.net
The ability to predict students' academic performance is critical for any educational institution
that aims to improve their students' learning process and achievement. Although students' …

Student academic performance prediction using deep multi-source behavior sequential network

X Li, X Zhu, X Zhu, Y Ji, X Tang - … in Knowledge Discovery and Data Mining …, 2020 - Springer
Online education is becoming increasingly popular and often combined with traditional
place-based study to improve learning efficiency for university students. Since students have …

Predicting students' behavior during an e-learning course using data mining

K Umbleja, M Ichino - … Collaborative Learning: Proceedings of the 19th ICL …, 2017 - Springer
This paper introduces a process of building a prediction model for student's final grade and
time of finishing, based on students' previous behavior. Prediction model was developed …

Enhancing the prediction of student performance based on the machine learning XGBoost algorithm

A Asselman, M Khaldi, S Aammou - Interactive Learning …, 2023 - Taylor & Francis
ABSTRACT Performance Factors Analysis (PFA) is considered one of the most important
Knowledge Tracing (KT) approaches used for constructing adaptive educational …

A comparative study of student performance prediction using pre-course data

B Alharbi, F Assiri, B Alharbi - ADCAIJ: Advances in Distributed …, 2021 - torrossa.com
Many students have suffered from completing courses in several higher education institutes
since there is no devoted assistance for those who need exceptional help identifying the …

Building Student Course Performance Prediction Model Based on Deep Learning.

JY Kuo, HT Chung, PF Wang… - Journal of Information …, 2021 - search.ebscohost.com
The deferral of graduation rate in Taiwan's universities is estimated 16%, which will affect
the scheduling of school resources. Therefore, if we can expect to take notice of students' …

Student performance prediction from E-mail assessments using tiny neural networks

N Yadav, K Srivastava - 2020 IEEE Integrated STEM Education …, 2020 - ieeexplore.ieee.org
Predicting student performance using e-mail assessments can help in early interventions to
better assist students sooner, rather than later, in STEM courses. In this paper, we propose …

An intelligent prediction system for educational data mining based on ensemble and filtering approaches

M Ashraf, M Zaman, M Ahmed - Procedia Computer Science, 2020 - Elsevier
The ensemble approach such as boosting is based on heuristic system to develop
prediction paradigms. The ensemble learning techniques are typically more accurate than …

A state‐of‐the‐art survey of predicting students' performance using artificial neural networks

W Xiao, J Hu - Engineering Reports, 2023 - Wiley Online Library
Predicting students' performance is one of the most important issue in educational data
mining. In order to investigate the state‐of‐the‐art research development in predicting …