International Conference on Educational Data Mining (EDM)
June 2012
Table of Contents
Number of papers: 8
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Calculating Probabilistic Distance to Solution in a Complex Problem Solving Domain
Leigh Ann Sudol, Kelly Rivers & Thomas K. Harris
In complex problem solving domains, correct solutions are often comprised of a combination of individual components. Students usually go through several attempts, each attempt reflecting an... More
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Early Prediction of Student Self-Regulation Strategies by Combining Multiple Models
Jennifer L. Sabourin, Bradford W. Mott & James C. Lester
Self-regulated learning behaviors such as goal setting and monitoring have been found to be crucial to students' success in computer-based learning environments. Consequently, understanding... More
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Identifying Successful Learners from Interaction Behaviour
Judi McCuaig & Julia Baldwin
The interaction behaviours of successful, high-achieving learners when using a Learning Management System (LMS) are different than the behaviours of learners who are having more difficulty... More
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Development of a Workbench to Address the Educational Data Mining Bottleneck
Ma Mercedes T. Rodrigo, Ryan S. J. d. Baker, Bruce M. McLaren, Alejandra Jayme & Thomas T. Dy
In recent years, machine-learning software packages have made it easier for educational data mining researchers to create real-time detectors of cognitive skill as well as of metacognitive and... More
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Automated Student Model Improvement
Kenneth R. Koedinger, Elizabeth A. McLaughlin & John C. Stamper
Student modeling plays a critical role in developing and improving instruction and instructional technologies. We present a technique for automated improvement of student models that leverages the ... More
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The Rise of the Super Experiment
John C. Stamper, Derek Lomas, Dixie Ching, Steve Ritter, Kenneth R. Koedinger & Jonathan Steinhart
Traditional experimental paradigms have focused on executing experiments in a lab setting and eventually moving successful findings to larger experiments in the field. However, data from field... More
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Assisting Instructional Assessment of Undergraduate Collaborative Wiki and SVN Activities
Jihie Kim, Erin Shaw, Hao Xu & G V. Adarsh
In this paper we examine the collaborative performance of undergraduate engineering students who used shared project documents (Wikis, Google documents) and a software version control system (SVN) ... More
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Towards Sensor-Free Affect Detection in Cognitive Tutor Algebra
Ryan S. J. d. Baker, Sujith M. Gowda, Michael Wixon, Jessica Kalka, Angela Z. Wagner, Aatish Salvi, Vincent Aleven, Gail W. Kusbit, Jaclyn Ocumpaugh & Lisa Rossi
In recent years, the usefulness of affect detection for educational software has become clear. Accurate detection of student affect can support a wide range of interventions with the potential to... More