Process mining is a growing and promising study area focused on understanding processes
and to help capture the more significant findings during real execution rather than, those …

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 …

Student performance modelling is one of the challenging and popular research topics in
educational data mining (EDM). Multiple factors influence the performance in non-linear …

Predicting students performance becomes more challenging due to the large volume of data
in educational databases. Currently in Malaysia, the lack of existing system to analyze and …

Educational process mining (EPM) is an emerging field in educational data mining (EDM)
aiming to make unexpressed knowledge explicit and to facilitate better understanding of the …

Content assessment has broadly improved in e-learning scenarios in recent decades.
However, the e-Learning process can give rise to a spatial and temporal gap that poses …

One of the develo** fields of the present times is educational data mining that pertains to
develo** methods that help in examining various kinds of data obtained from the …

In recent years, a wide array of tools have emerged for the purposes of conducting
educational data mining (EDM) and/or learning analytics (LA) research. In this article, we …

Background During the past decade, the increasingly heterogeneous field of learning
analytics has been critiqued for an over‐emphasis on data‐driven approaches at the …

Antecedentes: en la minería de procesos con datos educativos se utilizan diferentes
algoritmos para descubrir modelos, sobremanera el Alpha Miner, el Heuristic Miner y el …