What is Educational Data Mining

Data analysis for detecting patterns in large collections of educational data.

Is concerned with developing, researching, and applying computerized methods to detect patterns in large collections of educational data.

It refers to techniques and tools designed for automatically extracting meaning from large repositories of data generated by peoples learning activities in educational settings.

Educational Data Mining is an emerging discipline, concerned with developing methods for exploring the unique types of data that come from educational settings, and using those methods to better understand students, and the settings which they learn in. Whether educational data is taken from students' use of interactive learning environments, computer-supported collaborative learning, or administrative data from schools and universities, it often has multiple levels of meaningful hierarchy, which often need to be determined by properties in the data itself, rather than in advance. Issues of time, sequence, and context also play important roles in the study of educational data.

An interdisciplinary field of study that is directly related to many fields such as computer science, statistics, mathematics, and data visualization.

The application of data mining techniques and methods to educational data for management and research purposes.

Application of data mining techniques on educational data.

It is a specialized form of data mining which focuses on utilizing data that derives from educational environments and aims at addressing educational issues and enhancing the overall learning experience, performance, and outcomes.

Techniques, tools, and research designed for automatically extracting meaning from large repositories of data generated by or related to people's learning activities in educational settings.

Tools and techniques to extract meaningful patterns from educational data.

The application of data mining approaches in educational data.

Tools and techniques to extract meaningful patterns from educational data.

“ Educational Data Mining is an emerging discipline, concerned with developing methods for exploring the unique and increasingly large-scale data that come from educational settings and using those methods to better understand students, and the settings which they learn in. Whether educational data is taken from students’ use of interactive learning environments, computer-supported collaborative learning, or administrative data from schools and universities, it often has multiple levels of meaningful hierarchy, which often need to be determined by properties of the data itself, rather than in advance. Issues of time, sequence, and context also play important roles in the study of educational data ”. (The International Educational Data Mining Society, 2019)

Aims at understanding the learners’ learning behavior better to set and customize trainings. It requests algorithms to aggregate data collected from online learning systems to bring out patterns. The topic covers prediction, usage and results for pedagogical device improvement.

Data analysis techniques which help to extract hidden knowledge consisting of tasks including pattern discovery as well as predictive modelling , in the field of education.

A research field concerned with the application of data mining, machine learning and statistics to information generated from educational settings.