Web Usage Mining: Data Preprocessing and Multi Level analysis on Moodle
This research illustrates the potential of Web Usage Mining on e-
Learning domain. We use educational data mining techniques to
analyze learners behavior, to help in learning evaluation and to
enhance the structure of a given course. We focus on the
preprocessing task which is considered as the most crucial phase
in the whole process.
Our objective is to develop a data preprocessing method applied
to Moodle logs based on SCORM content structure. In earlier
works, we proposed a preprocessing tool to implement
these new methods and present the first discovered knowledge.
In this research, we define new static variables according to the
SCORM content tree and we apply more statistics and
visualization techniques. In addition, we present
multidimensional graphics in order to understand users accesses.
These aggregated variables provide to teachers and tutors
interesting knowledge about students learning process according
to different levels of content accessed
Keywords: Educational data mining, Web Usage Mining, Preprocessing, Moodle, SCORM, learning process.
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ABOUT THE AUTHORS
Nawal Sael
received the engineer degree in software engineering from ENSIAS, Morocco, in 2002, and her DESA (M. Sc.) in education engineering and technology from Hassan II- Mohamedia University, Casablanca, in 2006. Currently, she is preparing her Ph.D in computer Science in faculty of Science Ben M’sik. Her research interests e-learning platform, data mining.
Abdelaziz Marzak
is a Professor at faculty of science Ben m’sik (Casablanca, Morocco). He received his doctorate diploma from ENSIAS, Rabat, in 2000, and his HDR degree in Computer Science, from Hassan II- Mohammedia University. His research interests include Unified Modeling language, KDD, e-learning, data mining.
Hicham Behja
is a Professor at ENSAM School, Meknès, Morocco. He received Doctorate of 3rd Cycle (1997) degrees in Computer Science, both from the University Mohamed V of Rabat. He has received his doctorate diploma (2007) in Computer Science from University of Hassan II - Mohammedia. His research interests include Unified Modeling language, KDD, e-learning, data preprocessing techniques, data mining.
Nawal Sael
received the engineer degree in software engineering from ENSIAS, Morocco, in 2002, and her DESA (M. Sc.) in education engineering and technology from Hassan II- Mohamedia University, Casablanca, in 2006. Currently, she is preparing her Ph.D in computer Science in faculty of Science Ben M’sik. Her research interests e-learning platform, data mining.
Abdelaziz Marzak
is a Professor at faculty of science Ben m’sik (Casablanca, Morocco). He received his doctorate diploma from ENSIAS, Rabat, in 2000, and his HDR degree in Computer Science, from Hassan II- Mohammedia University. His research interests include Unified Modeling language, KDD, e-learning, data mining.
Hicham Behja
is a Professor at ENSAM School, Meknès, Morocco. He received Doctorate of 3rd Cycle (1997) degrees in Computer Science, both from the University Mohamed V of Rabat. He has received his doctorate diploma (2007) in Computer Science from University of Hassan II - Mohammedia. His research interests include Unified Modeling language, KDD, e-learning, data preprocessing techniques, data mining.
