Predicting student performance from online engagement activities using novel statistical features

GB Brahim - Arabian Journal for Science and Engineering, 2022 - Springer
Predicting students' performance during their years of academic study has been investigated
tremendously. It offers important insights that can help and guide institutions to make timely …

Student performance prediction on primary and secondary schools-a systematic literature review

LS Rodrigues, M dos Santos, I Costa… - Procedia Computer …, 2022 - Elsevier
Student performance prediction is a relevant topic to schools and universities. By this
means, they can act preventively and, also, allocate resources more accurately when at-risk …

Using multimodal learning analytics to model students' learning behavior in animated programming classroom

A Yusuf, NM Noor, S Bello - Education and Information Technologies, 2024 - Springer
Studies examining students' learning behavior predominantly employed rich video data as
their main source of information due to the limited knowledge of computer vision and deep …

Data Mining Techniques for Student Performance Prediction: A Review

M Abu, SNM Razali, NNA Rasli, NH Alilah - From Industry 4.0 to Industry …, 2023 - Springer
Academic performance of the student in higher education are among of the important data
for educators and employers in this new era. The issue to analyse a large number of data …

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 …

Do Key Predictors of Academic Resilience Differ Across Cultures? Evidence From Korea and the US

Y Choi, JH Sung - Youth & Society, 2024 - journals.sagepub.com
This study aimed to compare key predictors of academic resilience in the distinctive socio-
cultural contexts of South Korea and the United States, employing a machine-learning …

Predicting the final grade using a machine learning regression model: insights from fifty percent of total course grades in CS1 courses

CGH Suarez, J Llanos, VA Bucheli - PeerJ Computer Science, 2023 - peerj.com
This article introduces a model for accurately predicting students' final grades in the CS1
course by utilizing their grades from the first half of the course. The methodology includes …

Modeling education impact: a machine learning-based approach for improving the quality of school education

B Zaman, A Sharma, C Ram, R Kushwah… - Journal of Computers in …, 2023 - Springer
Improving literacy through efficacious school education is an essential objective of a society
to reduce poverty and inequality. Thus, a micro-level analysis conducted using Geospatial …

Student Performance Prediction Using Machine Learning Algorithms

E Ahmed - Applied Computational Intelligence and Soft …, 2024 - Wiley Online Library
Education is crucial for a productive life and providing necessary resources. With the advent
of technology like artificial intelligence, higher education institutions are incorporating …

Predicting ratings of social media feeds: combining latent-factors and emotional aspects for improving performance of different classifiers

A Ray, PK Bala, NP Rana, YK Dwivedi - Aslib Journal of Information …, 2022 - emerald.com
Purpose The widespread acceptance of various social platforms has increased the number
of users posting about various services based on their experiences about the services …