Data Mining in eLearning and Learning Management Systems (LMS) Abstract eLearning, web-based instruction, virtual learning environments and online learning have become big business for universities, schools and colleges, as well as providing new, effective and individualized teaching modalities for teachers to assist in positive student outcomes and learning like never before. Much of the research on Learning Management Systems focuses on how data mining can contribute to student outcomes and how teachers can use data mining to enhance these outcomes, based on a number of algorithms and data mining constructs. However, this is only the beginning of the power of data mining in the educational setting. This paper will present a synthesis of...The end:
.....nila; Erkki Oja; Olli Simula. Macadamia: Master’s Programme in Machine Learning and Data Mining. (2011). Helsinki University of Technology, Department of Information and Computer Science. Romero, Cristobal., P. González, S. Ventura, M.J. del Jesus, F. Herrera. Evolutionary algorithms for subgroup discovery in e-learning: A practical application using Moodle data. Expert Systems with Applications (2007): 1-13. Romero, Crostobal & Sebastien Ventura. Educational Data Mining: A Review of the State-of-the-Art. Transactions on Systems, Man, and Cybernetics--Part C: Applications and Reviews (2009): 1-21. Susnea, Elena. Classification Techniques Used in Educational System. The 4th International Conference on Virtual Learning ICVL (2009): 376-9.