The potential influence of data mining analytics on the students' learning processes and
outcomes has been realized in higher education. Hence, a comprehensive review of …

Presently, educational institutions compile and store huge volumes of data, such as student
enrolment and attendance records, as well as their examination results. Mining such data …

The field of education has experienced a transformation as artificial intelligence (AI)
becomes increasingly applicable for learning purposes. AI has the potential to transform the …

In recent years, there has been increasing interest in using the methods of educational data
mining (EDM) and learning analytics (LA) to study and measure learner cognition. In this …

Educational data mining (EDM) is an emerging interdisciplinary research area that deals
with the development of methods to explore data originating in an educational context. EDM …

Constructionism can be a powerful framework for teaching complex content to novices. At
the core of constructionism is the suggestion that by enabling learners to build creative …

New high-frequency data collection technologies and machine learning analysis techniques
could offer new insights into learning, especially in tasks in which students have ample …

There is great interest in assessing student learning in unscripted, open-ended
environments, but students' work can evolve in ways that are too subtle or too complex to be …

Use of machine learning techniques for educational proposes (or educational data mining)
is an emerging field aimed at developing methods of exploring data from computational …

A mineração de dados educacionais (EDM) é uma área recente de pesquisa que tem como
principal objetivo o desenvolvimento de métodos para explorar conjuntos de dados …