You are here:

International Conference on Educational Data Mining (EDM)

June 2012

Search this issue

Table of Contents

Number of papers: 8

  1. 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

    View Abstract
  2. 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

    View Abstract
  3. 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

    View Abstract
  4. 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

    View Abstract
  5. 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

    View Abstract
  6. 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

    View Abstract
  7. 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

    View Abstract
  8. 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

    View Abstract