Educational Data Mining

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Educational Data Mining

Papers from the AAAI Workshop

Joseph E. Beck, Chair

Technical Report WS-05-02
76 pp., $30.00
ISBN 978-1-57735-238-9
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This workshop focused on leveraging the ability of computer tutors to record their interactions with students to better understand how to teach students. Computer tutors are capable of recording both longitudinal data, as well as data at a fine-time scale, such as mouse clicks and response time data. Using these interactions as a source of data to be mined provides a new view into understanding student learning processes. The first objective of this workshop was to bring together researchers working at the intersection of AI and education to discuss how to better understand and learn from the data we are collecting. The second major objective of the workshop was to create a repository of data sets for educational data mining. The lack of shared data sets has hampered the field both by creating a high barrier to entry and by making it difficult for researchers to directly compare techniques and results.

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