Artificial Intelligence Review - Special issue on lazy learning
Using analytic QP and sparseness to speed training of support vector machines
Proceedings of the 1998 conference on Advances in neural information processing systems II
Theoretical and Empirical Analysis of ReliefF and RReliefF
Machine Learning
Top-Down Induction of Model Trees with Regression and Splitting Nodes
IEEE Transactions on Pattern Analysis and Machine Intelligence
Mining learner profile utilizing association rule for web-based learning diagnosis
Expert Systems with Applications: An International Journal
Educational data mining: A survey from 1995 to 2005
Expert Systems with Applications: An International Journal
A personalized English learning recommender system for ESL students
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
A new approach for constructing the concept map
Computers & Education
Construction and analysis of educational tests using abductive machine learning
Computers & Education
Data mining in course management systems: Moodle case study and tutorial
Computers & Education
Review: Neural networks and statistical techniques: A review of applications
Expert Systems with Applications: An International Journal
Mining students' behavior in web-based learning programs
Expert Systems with Applications: An International Journal
Data mining for adaptive learning sequence in English language instruction
Expert Systems with Applications: An International Journal
Clustering and Sequential Pattern Mining of Online Collaborative Learning Data
IEEE Transactions on Knowledge and Data Engineering
Implement web learning environment based on data mining
Knowledge-Based Systems
Mining LMS data to develop an "early warning system" for educators: A proof of concept
Computers & Education
Using data mining techniques to automatically construct concept maps for adaptive learning systems
Expert Systems with Applications: An International Journal
User models for adaptive hypermedia and adaptive educational systems
The adaptive web
Adaptive support for distributed collaboration
The adaptive web
A comparative analysis of machine learning techniques for student retention management
Decision Support Systems
Expert Systems with Applications: An International Journal
Classification and prediction of academic talent using data mining techniques
KES'10 Proceedings of the 14th international conference on Knowledge-based and intelligent information and engineering systems: Part I
Educational data mining: a review of the state of the art
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
An empirical analysis on auto corporation training program planning by data mining techniques
Expert Systems with Applications: An International Journal
Activity sequence modelling and dynamic clustering for personalized e-learning
User Modeling and User-Adapted Interaction
Mining fuzzy specific rare itemsets for education data
Knowledge-Based Systems
Data Mining: Practical Machine Learning Tools and Techniques
Data Mining: Practical Machine Learning Tools and Techniques
Comparison of machine learning methods for intelligent tutoring systems
ITS'06 Proceedings of the 8th international conference on Intelligent Tutoring Systems
Survey of Data Mining Approaches to User Modeling for Adaptive Hypermedia
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Learning Performance Assessment Approach Using Web-Based Learning Portfolios for E-learning Systems
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Improvements to the SMO algorithm for SVM regression
IEEE Transactions on Neural Networks
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Use of machine learning techniques for educational proposes (or educational data mining) is an emerging field aimed at developing methods of exploring data from computational educational settings and discovering meaningful patterns. The stored data (virtual courses, e-learning log file, demographic and academic data of students, admissions/registration info, and so on) can be useful for machine learning algorithms. In this article, we cite the most current articles that use machine learning techniques for educational proposes and we present a case study for predicting students' marks. Students' key demographic characteristics and their marks in a small number of written assignments can constitute the training set for a regression method in order to predict the student's performance. Finally, a prototype version of software support tool for tutors has been constructed.