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Mining Student Data Captured from a Web-Based Tutoring Tool: Initial Exploration and Results
Article

, ESILV - Pôle Universitaire Léonard de Vinci, France ; , University of Sydney, Australia

Journal of Interactive Learning Research Volume 15, Number 4, ISSN 1093-023X Publisher: Association for the Advancement of Computing in Education (AACE), Waynesville, NC

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Abstract

In this article we describe the initial investigations that we have conducted on student data collected from a web-based tutoring tool. We have used some data mining techniques such as association rule and symbolic data analysis, as well as traditional SQL queries to gain further insight on the students' learning and deduce information to improve teaching. In our work, applying data mining facilities serves two purposes: (a) understand better both how students grasp the tool and assimilate the knowledge they need to learn and (b) get pedagogically relevant information that may influence or help improve teaching.

Citation

Merceron, A. & Yacef, K. (2004). Mining Student Data Captured from a Web-Based Tutoring Tool: Initial Exploration and Results. Journal of Interactive Learning Research, 15(4), 319-346. Norfolk, VA: Association for the Advancement of Computing in Education (AACE). Retrieved August 11, 2024 from .

© 2004 Association for the Advancement of Computing in Education (AACE)

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References

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