Educational Data Mining
Papers from the 2005 AAAI Workshop
Joseph E. Beck, Program Chair
Technical Report WS-05-02 published by The AAAI Press, Menlo Park, California
This technical report is also available in book and CD format.
Please Note: Abstracts are linked to individual titles, and will appear in a separate browser window. Full-text versions of the papers are linked to the abstract text. Access to full text may be restricted to AAAI members. PDF file sizes may be large!
Contents
Evaluating the Feasibility of Learning Student Models from Data / 1
Anders Jonnson, Jeff Johns, Hasmik Mehranian, Ivon Arroyo, Beverly Woolf, Andrew Barto, Donald Fisher, and Sridhar Mahadevan
Topic Extraction from Item-Level Grades / 7
Titus Winters, Christian Shelton, Tom Payne, and Guobiao Mei
An Educational Data Mining Tool to Browse Tutor-Student Interactions: Time Will Tell! / 15
Jack Mostow, Joseph Beck, Hao Cen, Andrew Cuneo, Evandro Gouvea, and Cecily Heiner
A Data Collection Framework for Capturing ITS Data Based on an Agent Communication Standard / 23
Olga Medvedeva, Girish Chavan, and Rebecca S. Crowley
Data Mining Patterns of Thought / 31
Earl Hunt and Tara Madhyastha
The Q-matrix Method: Mining Student Response Data for Knowledge / 39
Tiffany Barnes
Automating Cognitive Model Improvement by A*Search and Logistic Regression / 47
Hao Cen, Kenneth Koedinger, and Brian Junker
Looking for Sources of Error in Predicting Student’s Knowledge / 54
Mingyu Feng, Neil T. Heffernan, and Kenneth R. Koedinger
Time and Attention: Students, Sessions, and Tasks / 62
Andrew Arnold, Richard Scheines, Joseph E. Beck, and Bill Jerome
Logging Students’ Model-Based Learning and Inquiry Skills in Science / 67
Janice Gobert, Paul Horwitz, Barbara Buckley, Amie Mansfield, Edmund Burke, and Dimitry Markman
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