Detecting students gifted in mathematics with stream mining and concept drift based m-learning models integrating educational computer games

P Juric, MB Bakaric, M Matetic - International Journal of Emerging …, 2021 - learntechlib.org
One of the problems of individualized classes which adapt contents and methods of
teaching to students of different cognitive capabilities is early and widely available detection …

[PDF][PDF] Evaluation of data mining techniques for predicting student's performance

M Kumar, AJ Singh - International Journal of Modern Education and …, 2017 - academia.edu
This paper highlights important issues of higher education system such as predicting
student's academic performance. This is trivial to study predominantly from the point of view …

[PDF][PDF] Analysis of Educational Data Mining Techniques

A Tripathi, A Kumar - International Journal of Computer Science and …, 2019 - academia.edu
The prediction analysis is the approach which can predict future possibilities based on the
current information. The prediction analysis can be done using the technique of …

Discovering big data modelling for educational world

JT Wassan - Procedia-Social and Behavioral Sciences, 2015 - Elsevier
With the advancement in internet technology all over the world, the demand for online
education is growing. Many educational institutions are offering various types of online …

How do students behave when using a tutoring system? Employing data mining to identify behavioral patterns associated to the learning of mathematics

R Melendez-Armenta, N Huerta-Pacheco… - … Journal of Emerging …, 2020 - learntechlib.org
The inclusion of technology in the academic processes has led to constant innovation and
investment of resources to offer a first-level educational service, with international standards …

[PDF][PDF] Transferring an existing gaming detection model to different system using semi-supervised approach.

V Bahel, SA Adjei, RS Baker - EDM (Workshops), 2021 - ceur-ws.org
ABSTRACT Many researchers in Educational Data Mining and Learning Analytics have
worked on models for the detection of students who “game the system”, a behavior in which …

Analysis of Data Mining Methodologies & Applications in Education Sector

S Mushtaq, SN Singh - Proceedings of the International Conference …, 2020 - papers.ssrn.com
As we know the higher education system has shown a very swift progression over the last
few decades. A large number of institutions have emerged from the public as well as private …

Artificial neural networks in mathematical mini-games for automatic students' learning styles identification: A first approach

R Torres-Molina, J Banda-Almeida… - … on Intelligent Data …, 2019 - Springer
The lack of customized education results in low performance in different subjects as
mathematics. Recognizing and knowing student learning styles will enable educators to …

An Educational Data Mining Application by Using Multiple Intelligences

E Aksoy, S Narli, MA Aksoy - Examining Multiple Intelligences and …, 2020 - igi-global.com
The aim of this chapter is to illustrate both uses of data mining methods and the way of these
methods can be applied in education by using students' multiple intelligences. Data mining …

Analysis of Student's Data Using Rapid Miner

S Angra, S Ahuja - Journal on Today's Ideas-Tomorrow's …, 2016 - jotitt.chitkara.edu.in
Data mining offers a new advance to data analysis using techniques based on machine
learning, together with the conventional methods collectively known as educational data …