Educational data mining

education
Educational data mining (EDM) describes a research field concerned with the application of data mining, machine learning and statistics to information generated from educational settings (e.g., universities and intelligent tutoring systems).wikipedia
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Learning analytics

The field is closely tied to that of learning analytics, and the two have been compared and contrasted.
A related field is educational data mining.

Ryan S. Baker

Baker
Ryan S. Baker and Kalina Yacef identified the following four goals of EDM:
He is known for his role in establishing the educational data mining scientific community, for the Baker Rodrigo Ocumpaugh Monitoring Protocol (BROMP), and for establishing the first automated detector of student disengagement.

Cluster analysis

clusteringdata clusteringcluster
Of the general categories of methods mentioned, prediction, clustering and relationship mining are considered universal methods across all types of data mining; however, Discovery with Models and Distillation of Data for Human Judgment are considered more prominent approaches within educational data mining.

Research

researcherresearchersoriginal research
Educational data mining (EDM) describes a research field concerned with the application of data mining, machine learning and statistics to information generated from educational settings (e.g., universities and intelligent tutoring systems).

Data mining

data-miningdataminingknowledge discovery in databases
Educational data mining (EDM) describes a research field concerned with the application of data mining, machine learning and statistics to information generated from educational settings (e.g., universities and intelligent tutoring systems).

Machine learning

machine-learninglearningstatistical learning
Educational data mining (EDM) describes a research field concerned with the application of data mining, machine learning and statistics to information generated from educational settings (e.g., universities and intelligent tutoring systems).

Statistics

statisticalstatistical analysisstatistician
Educational data mining (EDM) describes a research field concerned with the application of data mining, machine learning and statistics to information generated from educational settings (e.g., universities and intelligent tutoring systems).

Educational psychology

educational psychologisteducationaleducation
In doing so, EDM has contributed to theories of learning investigated by researchers in educational psychology and the learning sciences.

Learning sciences

learning sciencelearning scientist
In doing so, EDM has contributed to theories of learning investigated by researchers in educational psychology and the learning sciences.

Learning

associative learninglearnlearning process
Educational data mining refers to 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.

Learning management system

learning management systemsLMSlearning management
For example, several learning management systems (LMSs) track information such as when each student accessed each learning object, how many times they accessed it, and how many minutes the learning object was displayed on the user's computer screen.

Learning object

learning objectsLearning object repositoryreusable learning objects
For example, several learning management systems (LMSs) track information such as when each student accessed each learning object, how many times they accessed it, and how many minutes the learning object was displayed on the user's computer screen.

University

universitiescollegecomprehensive university
Educational data mining (EDM) describes a research field concerned with the application of data mining, machine learning and statistics to information generated from educational settings (e.g., universities and intelligent tutoring systems). For example, a student's university transcript may contain a temporally ordered list of courses taken by the student, the grade that the student earned in each course, and when the student selected or changed his or her academic major.

Transcript (education)

transcripttranscriptstranscript of records
For example, a student's university transcript may contain a temporally ordered list of courses taken by the student, the grade that the student earned in each course, and when the student selected or changed his or her academic major.

Grading in education

GPAgrade point averagegrades
For example, a student's university transcript may contain a temporally ordered list of courses taken by the student, the grade that the student earned in each course, and when the student selected or changed his or her academic major.

Course (education)

coursecourseselectives
For example, a student's university transcript may contain a temporally ordered list of courses taken by the student, the grade that the student earned in each course, and when the student selected or changed his or her academic major.

Major (academic)

majormajoringmajored
For example, a student's university transcript may contain a temporally ordered list of courses taken by the student, the grade that the student earned in each course, and when the student selected or changed his or her academic major.

Domain knowledge

knowledge domaindomaindomain know-how
EDM leverages both types of data to discover meaningful information about different types of learners and how they learn, the structure of domain knowledge, and the effect of instructional strategies embedded within various learning environments.

Raw data

Primary datarawRaw Data Now
These analyses provide new information that would be difficult to discern by looking at the raw data.

Academic conference

conferenceconferencessymposia
This interest translated into a series of EDM workshops held from 2000 to 2007 as part of several international research conferences.

Montreal

Montreal, QuebecMontréalMontreal, Canada
In 2008, a group of researchers established what has become an annual international research conference on EDM, the first of which took place in Montreal, Quebec, Canada.

Academic journal

journaljournalsacademic journals
As interest in EDM continued to increase, EDM researchers established an academic journal in 2009, the Journal of Educational Data Mining, for sharing and disseminating research results.

National Center for Education Statistics

NCESNational Center for Educational Statistics National Center for Education Statistics (NCES)
With the introduction of public educational data repositories in 2008, such as the Pittsburgh Science of Learning Centre's (PSLC) DataShop and the National Center for Education Statistics (NCES), public data sets have made educational data mining more accessible and feasible, contributing to its growth.

Accessibility

accessiblelow-floorwheelchair accessible
With the introduction of public educational data repositories in 2008, such as the Pittsburgh Science of Learning Centre's (PSLC) DataShop and the National Center for Education Statistics (NCES), public data sets have made educational data mining more accessible and feasible, contributing to its growth.

Intelligent tutoring system

intelligent tutoring systemsintelligent tutorsIntelligent Computer Assisted Instruction
Educational data mining (EDM) describes a research field concerned with the application of data mining, machine learning and statistics to information generated from educational settings (e.g., universities and intelligent tutoring systems).