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Author:   Cristobal Romero (University of Cordoba, Spain) ,  Sebastian Ventura (University of Cordoba, Spain) ,  Mykola Pechenizkiy (Eindhoven University of Technology, The Netherlands) ,  Ryan S.J.d. Baker (Worcester Polytechnic Institute, Massachusetts, USA)
Publisher:   Taylor & Francis Inc
Imprint:   CRC Press Inc
Volume:   v. 16
Dimensions:   Width: 17.80cm , Height: 3.30cm , Length: 25.40cm
Weight:   1.088kg
ISBN:  

9781439804575

ISBN 10:   1439804575
Pages:   535
Publication Date:   25 October 2010
Audience:   College/higher education ,  General/trade ,  Tertiary & Higher Education ,  General
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print  
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Computer scientists review the current state in using large-scale educational data sets to understand learning better and to provide information about the learning process. ! --SciTech Book News, February 2011

Author Information

Cristobal Romero is an associate professor in the Department of Computer Science at the University of Cordoba in Spain. Dr. Romero is a member of the International Working Group on Educational Data Mining and was conference co-chair of the Second International Conference on Educational Data Mining. His research interests include the application of artificial intelligence and data mining techniques to education and e-learning systems. Sebastian Ventura is an associate professor in the Department of Computer Science at the University of Cordoba in Spain. Dr. Ventura has been a reviewer for User Modelling and User Adapted Interaction, Information Sciences, and Soft Computing and was conference co-chair of the Second International Conference on Educational Data Mining. His research interests encompass machine learning, data mining, and their applications as well as the application of KDD techniques to e-learning. Mykola Pechenizkiy is an assistant professor in the Department of Computer Science at Eindhoven University of Technology in the Netherlands. Dr. Pechenizkiy has been involved in the organization of workshops, special tracks, and conferences on applications of data mining in medicine, industry, and education. He is conference co-chair of the Fourth International Conference on Educational Data Mining. His research is focused on knowledge discovery, data mining, machine learning, and their applications. Ryan Baker is an assistant professor of psychology and the learning sciences in the Department of Social Science and Policy Studies, with a collaborative appointment in computer science, at Worcester Polytechnic Institute in Massachusetts. An associate editor of the Journal of Educational Data Mining, Dr. Baker was program co-chair of the First International Conference on Educational Data Mining and conference chair of the Third International Conference on Educational Data Mining. His research is at the intersection of educational data mining, machine learning, human--computer interaction, and educational psychology.

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