Everything about Educational data mining
Research field
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. Universities are data rich environments with commercially valuable data collected incidental to academic purpose, but sought by outside interests. Grey literature is another academic data resource requiring stewardship. At a high level, the field seeks to develop and improve methods for exploring this data, which often has multiple levels of meaningful hierarchy, in order to discover new insights about how people learn in the context of such settings. In doing so, EDM has contributed to theories of learning investigated by researchers in educational psychology and the learning sciences. The field is closely tied to that of learning analytics, and the two have been compared and contrasted. Wikipedia →
🧭 Start here: a 6-step reading path
- Read the overview: Educational data miningA 5-minute orientation
- Skim a recent paper: Analyzing students' academic performance using educational data miningInfluential work since 2022
- Pick up a classic book: FreakonomicsThe most-reprinted book on the subject
- Read the landmark paper: A Systematic Review on Educational Data MiningCited 401 times
- Go sideways: Learning analyticsA closely related topic
- Go sideways: Learning engineeringA closely related topic
📖 Definitions
No dictionary entry for this exact phrase.
🏆 Landmark papers (most cited)
A Systematic Review on Educational Data Mining
Tools for Educational Data Mining
Educational Data Mining: A Review
Mining educational data to predict students performance
Educational Data Mining & Students’ Performance Prediction
Educational data mining: a 10-year review
Clustering Algorithms Applied in Educational Data Mining
Educational Data Mining Applications and Techniques
🆕 Influential since 2022
Analyzing students' academic performance using educational data mining
Educational Data Mining to Support Programming Learning Using Problem-Solving Data
Reviewing the differences between learning analytics and educational data mining: Towards educational data science
Student Performance Prediction Approach Based on Educational Data Mining
Educational Data Mining: A Foundational Overview
📚 Books worth reading
FreakonomicsSteven D. Levitt, Stephen J. Dubner · 2005
Artificial Intelligence Applications and InnovationsLazaros S. Iliadis, Ilias Maglogiannis · 2006
Weapons of Math DestructionCathy O'Neil · 2016
Artificial Intelligence Applications and InnovationsLazaros Iliadis · 2009
Learning Analytics in Higher EducationJaime Lester, Aditya Johri · 2017
Learning Analytics Goes to SchoolAndrew Krumm, Barbara Means · 2018- 📕Teaching Data AnalyticsSusan A. Vowels, Katherine Goldberg · 2019
- 📕Utilizing Educational Data Mining Techniques for Improved LearningChintan Bhatt, Priti Srinivas Sajja · 2019
Ranked by number of editions on Open Library, a rough measure of how lasting a book is.
🔗 Related topics
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