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Home / Proceedings / AAAI Workshop Papers 2006 /

Educational Data Mining

Contents

  • Contents
    PDF
  • Predicting End-Of-Year Accountability Assessment Scores from Monthly Student Records In An Online Tutoring System

    Nathaniel O Anozie, Junker Brian

    PDF
  • Feature Discovery in the Context of Educational Data Mining: An Inductive Approach

    Andrew Arnold, Joseph E. Beck, Richard Scheines

    PDF
  • Do Skills Combine Additively to Predict Task Difficulty in Eigth-Grade Mathematics

    Elizabeth Ayers, Brian Junker

    PDF
  • Comparative Analysis of Concept Derivation Using the Q-matrix Method and Facets

    Tiffany Barnes, John Stamper, Tara Madhyastha

    PDF
  • Using Association Rules for Course Recommendation

    Narimel Bendakir, Esma Aïmeur

    PDF
  • Does Help Help? A Bayes Net Approach to Modeling Tutor Interventions

    Kai-min K. Chang, Joseph E. Beck, Jack Mostow, Albert Corbett.

    PDF
  • Item-based Bayesian Student Models

    Michel C Desmarais, Michel Gagnon, Peyman Meshkinfam

    PDF
  • Using Mixed-Effects Modeling to Compare Different Grain-Sized Skill Models

    Mingyu Feng, Neil Heffernan, Murali Mani, Cristina Heffernan

    PDF
  • Modeling and Assessing Student Activities in On-Line Discussions

    Jihie Kim, Erin Shaw, Donghui Feng, Carole Beal, Eduard Hovy

    PDF
  • Inferring Use Cases from Unit Testing

    Jaime Spacco, Titus Winters, Tom Payne

    PDF
  • Mining Student Learning Data to Develop High Level Pedagogic Strategy in a Medical ITS

    Michael V. Yudelson, Olga Medvedeva, Elizabeth Legowski, Melissa Castine, Drazen Jukic, and Rebecca S. Crowley

    PDF
  • Organizing Committee

    Joseph E. Beck, Esma Aimeur, and Tiffany Barnes

    PDF

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