A critical review of data mining in education on the levels and aspects of education

I Fuseini, YM Missah - Quality Education for All, 2024 - emerald.com
A critical review of data mining in education on the levels and aspects of education |
Emerald Insight Books and journals Case studies Expert Briefings Open Access Publish …

Anomaly Detection in Student Activity in Solving Unique Programming Exercises: Motivated Students against Suspicious Ones

LA Demidova, PN Sovietov, EG Andrianova… - Data, 2023 - mdpi.com
This article presents a dataset containing messages from the Digital Teaching Assistant
(DTA) system, which records the results from the automatic verification of students' solutions …

[HTML][HTML] Evolution, topics and relevant research methodologies in Business Intelligence and Data Analysis in the Academic Management of Higher Education …

M Correa-Peralta, J Vinueza-Martínez… - Results in …, 2024 - Elsevier
In the digital era, Business Intelligence (BI) and data analytics have become essential for
optimizing academic management in higher education institutions. This bibliometric study …

Investigating Students' Pre-University Admission Requirements and Their Correlation with Academic Performance for Medical Students: An Educational Data Mining …

A Qahmash, N Ahmad, A Algarni - Brain Sciences, 2023 - mdpi.com
Medical education is one of the most sought-after disciplines for its prestigious and noble
status. Institutions endeavor to identify admissions criteria to register bright students who can …

Research on Promotion Evaluation of College Teachers Based on Machine Learning

Y Su, Y Bai, M Yang, Y Sha - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Recent research on the assessment of college teachers' promotions has predominantly
focused on qualitative approaches, offering suggestions to enhance fairness, objectivity and …

Student Performance Prediction: A Co-Evolutionary Hybrid Intelligence model

K Vimarsha, SPS Prakash, K Krinkin… - Procedia Computer …, 2024 - Elsevier
Abstract-Student performance prediction has a pivotal role in educational institutions,
providing valuable insights into students' academic outcomes and aiding educators in …

Predicting student specializations: a Machine Learning Approach based on Academic Performance

A Angeioplastis, N Papaioannou, A Tsimpiris… - Journal of e-Learning …, 2024 - je-lks.org
Education is a cornerstone of societal progress, equipping people with essential skills and
knowledge. In today's dynamic global society, personalized learning experiences are …

Implementation of Feature Selection Strategies to Enhance Classification Using XGBoost and Decision Tree

FEP Nadya, MFI Ferdiansyah… - Scientific Journal of …, 2024 - journal.unnes.ac.id
Purpose: Grades in the world of education are often a benchmark for students to be
considered successful or not during the learning period. The facilities and teaching staff …

Extended Fuzzy-Based Models of Production Data Analysis within AI-Based Industry 4.0 Paradigm

I Rojek, P Prokopowicz, P Kotlarz, D Mikołajewski - Applied Sciences, 2023 - mdpi.com
Featured Application Potential applications of the work include the computerization of
production processes and the construction of artificial intelligence-based systems to support …

Construction of Teacher Learning Evaluation Model based on Deep Learning Data Mining

S Zhou, D Li - Scalable Computing: Practice and Experience, 2025 - scpe.org
In-class teaching assessment, which measures the effectiveness of teachers' instruction as
well as how well students are learning in a classroom setting, is becoming more and more …