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Educational data mining

Educational data mining (EDM) is 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). Universities are data rich environments with commercially valuable data collected incidental to academic purpose, but…

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Definition

History

Goals

Users and stakeholders

Phases

Main approaches

Applications

Courses

Publication venues

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Criticisms

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Map overview Semantic statistics

Educational data mining

Nodes107
Edges106
Triples114
Avg. degree1.98
Density0.018692
Components1

How this topic connects Entity context

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Educational data mining

Top relations

related to Publication venues · 37
Educational data mining → Buffalo, Canada13th International Conference, Canada2nd International Conference, Chania, China11th International Conference, Considerable, Cordoba, EDM, Eindhoven, France, Greece6th International Conference, International Conference, International Educational Data Mining, London, Madrid, Memphis, Montreal, Montréal, NC, Netherlands5th International Conference
related to Users and stakeholders · 14
Educational data mining → Administrators, As, EDM, Educators, Faculty, For, However, In, It, Learners, Researchers, The, There, These
related to Criticisms · 13
Educational data mining → Adoption, As, Development, EDM, Generalizability, However, Individual, It, Plagiarism, Privacy, Research, Thus, With
related to Definition · 13
Educational data mining → As, EDM, Educational, For, In, LMS, LMSs, Quite, Similarly, Such, The, These, They
related to history · 11
Educational data mining → As, Canada, EDM, In, International Educational Data Mining, Journal, Montreal, Quebec, Society, This, While
related to Phases · 10
Educational data mining → As, Discovered, EDM, In, Predictions, Several, The, This, Thus, Validated
related to Main approaches · 6
Educational data mining → Data, Discovery, Distillation, Human Judgment, Models, Of

Important terminology Word statistics

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Important terminology

data learning mining educational edm course research student information also tools may field applications use new models prediction learners systems

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
when each student accessed each learning objectinstance oftrack information0.80text
how many times they accessed itinstance oftrack information0.80text
and how many minutes the learning object was displayed on the user's computer screeninstance oftrack information0.80text
their knowledgeinstance ofincluding detailed information0.80text
behavioursinstance ofincluding detailed information0.80text
motivation to learninstance ofincluding detailed information0.80text
open source Moodleinstance ofEDM can be applied to course management systems0.80text
test resultsinstance ofMoodle contains usage data that includes various activities by users0.80text
amount of readings completedinstance ofMoodle contains usage data that includes various activities by users0.80text
participation in discussion forumsinstance ofMoodle contains usage data that includes various activities by users0.80text
Educational data miningrelated to CriticismsGeneralizability0.60section
Educational data miningrelated to CriticismsResearch0.60section

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