[HTML][HTML] A systematic literature review: Recent techniques of predicting STEM stream students

N Ismail, UK Yusof - Computers and Education: Artificial Intelligence, 2023 - Elsevier
Nowadays, fewer students are choosing to enroll in STEM (science, technology,
engineering, and mathematics) fields. STEM students in schools and in higher educational …

[HTML][HTML] Monitoring of student learning in learning management systems: An application of educational data mining techniques

MC Sáiz-Manzanares, JJ Rodríguez-Díez… - Applied Sciences, 2021 - mdpi.com
Featured Application This work has an important direct application for teachers or
educational institutions working with Moodle, because it provides an open access software …

[HTML][HTML] Diverging perceptions of artificial intelligence in higher education: A comparison of student and public assessments on risks and damages of academic …

M Lünich, B Keller, F Marcinkowski - Computers and Education: Artificial …, 2024 - Elsevier
Abstract The integration of Artificial Intelligence (AI) into higher education, particularly
through Academic Performance Prediction (APP), promises enhanced educational …

Fairness of academic performance prediction for the distribution of support measures for students: Differences in perceived fairness of distributive justice norms

M Lünich, B Keller, F Marcinkowski - Technology, Knowledge and …, 2024 - Springer
Artificial intelligence in higher education is becoming more prevalent as it promises
improvements and acceleration of administrative processes concerning student support …

[HTML][HTML] Factors and conditions that affect the goodness of machine learning models for predicting the success of learning

L Bognár, T Fauszt - Computers and Education: Artificial Intelligence, 2022 - Elsevier
The process for building effective machine learning models that predict the learning success
of university students, the competences of the actors involved in model building, and the …

A machine learning approach to performance and dropout prediction in computer science: Bangladesh perspective

SA Ahmed, MA Billah, SI Khan - 2020 11th International …, 2020 - ieeexplore.ieee.org
This is an era of computers and technology. Nowadays Computer Science (CS) and other
technology-related subjects are a hot cake for the students. Due to a good job market for …

How Is Socially Responsible Academic Performance Prediction Possible?: Insights From a Concept of Perceived AI Fairness

B Keller, M Lünich, F Marcinkowski - … and Governance for AI in Higher …, 2022 - igi-global.com
The availability of big data at universities enables the use of artificial intelligence (AI)
systems in almost all areas of the institution: from administration to research, to learning and …

Innovative practices in education systems using artificial intelligence for advanced society

DC Vinutha, S Kavyashree, CP Vijay… - The New Advanced …, 2022 - Wiley Online Library
The emerging use of Artificial Intelligence in education System is explored. The use of
Artificial Intelligence reduces workloads by shortening the time spent for assignments …

Moodle Logs Analytics: An open web application to monitor student activity

R Avello Martínez, D Fernández-Álvarez… - Revista Universidad y …, 2023 - scielo.sld.cu
La relevancia de la analítica de aprendizaje es palpable dado su incremento en
publicaciones científicas y proyectos internacionales. Es imposible ignorar estas técnicas …

Improving the Automatic Detection of Dropout Risk in Middle and High School Students: A Comparative Study of Feature Selection Techniques

D Zapata-Medina, A Espinosa-Bedoya… - Mathematics, 2024 - mdpi.com
The dropout rate in underdeveloped and emerging countries is a pressing social issue, as
highlighted by studies conducted by The Organization for Economic Co-operation and …