Roles and research trends of artificial intelligence in mathematics education: A bibliometric map** analysis and systematic review

GJ Hwang, YF Tu - Mathematics, 2021‏ - mdpi.com
Learning mathematics has been considered as a great challenge for many students. The
advancement of computer technologies, in particular, artificial intelligence (AI), provides an …

Applications of artificial intelligence models in educational analytics and decision making: A systematic review

J de Souza Zanirato Maia, APA Bueno, JR Sato - World, 2023‏ - mdpi.com
Education plays a critical role in society as it promotes economic development through
human capital, reduces crime, and improves general well-being. In any country, especially …

An exploration of factors linked to academic performance in PISA 2018 through data mining techniques

A Gamazo, F Martínez-Abad - Frontiers in Psychology, 2020‏ - frontiersin.org
International large-scale assessments, such as PISA, provide structured and static data.
However, due to its extensive databases, several researchers place it as a reference in Big …

Machine learning for the educational sciences

S Hilbert, S Coors, E Kraus, B Bischl, A Lindl… - Review of …, 2021‏ - Wiley Online Library
Abstract Machine learning (ML) provides a powerful framework for the analysis of high‐
dimensional datasets by modelling complex relationships, often encountered in modern …

Educational Data Mining: Identification of factors associated with school effectiveness in PISA assessment

F Martínez-Abad, A Gamazo… - Studies in Educational …, 2020‏ - Elsevier
With the main goal of identifying the process factors associated with school effectiveness in
secondary education, this work presents an innovative methodological proposal. Based on …

A systematic review on data mining for mathematics and science education

D Shin, J Shim - International Journal of Science and Mathematics …, 2021‏ - Springer
Educational data mining is used to discover significant phenomena and resolve educational
issues occurring in the context of teaching and learning. This study provides a systematic …

Adaptive recommendation system using machine learning algorithms for predicting student's best academic program

M Ezz, A Elshenawy - Education and Information Technologies, 2020‏ - Springer
Some of the educational organizations have multi-education paths such as engineering and
medicine collages. In such colleges, the behavior of the student in the preparatory year …

[PDF][PDF] Predictive machine learning approach for complex problem solving process data mining

A Pejić, PS Molcer - Acta Polytechnica Hungarica, 2021‏ - acta.uni-obuda.hu
Problem-solving is considered to be an essential everyday skill, in professional as well as in
personal situations. In this paper, we investigate whether a predictive model for a problem …

An analysis of PISA 2018 mathematics assessment for Asia-Pacific countries using educational data mining

EG Bayirli, A Kaygun, E Öz - Mathematics, 2023‏ - mdpi.com
The purpose of this paper is to determine the variables of high importance affecting the
mathematics achievement of the students of 12 Asia-Pacific countries participating in the …

Identification of factors associated with school effectiveness with data mining techniques: testing a new approach

F Martínez-Abad - Frontiers in Psychology, 2019‏ - frontiersin.org
The study of school effectiveness and the identification of factors associated with it are
growing fields of research in the education sciences. Moreover, from the perspective of data …