Proceedings of Educational Data Mining, 2009

Proceedings

2009

Edu-mining for Book Recommendation for Pupils

Determining the Significance of Item Order In Randomized Problem Sets

Differences Between Intelligent Tutor Lessons, and the Choice to Go Off-Task

Using Learning Decomposition and Bootstrapping with Randomization to Compare the Impact of Different Educational Interventions on Learning

Predicting Student Grades in Learning Management Systems with Multiple Instance Genetic Programming

Automatic Detection of Student Mental Models During Prior Knowledge Activation in MetaTutor

Developing an Argument Learning Environment Using Agent-Based ITS (ALES)

Why, What, and How to Log? Lessons from LISTEN

A User-Driven and Data-Driven Approach for Supporting Teachers in Reflection and Adaptation of Adaptive Tutorials

Dimensions of Difficulty in Translating Natural Language into First Order Logic

Does Self-Discipline impact students' knowledge and learning?

Detecting Symptoms of Low Performance Using Production Rules

How do Students Organize Personal Information Spaces?

A Comparison of Student Skill Knowledge Estimates

Back to the future: a non-automated method of constructing transfer models

Student Consistency and Implications for Feedback in Online Assessment Systems

Learning Factors Transfer Analysis: Using Learning Curve Analysis to Automatically Generate Domain Models

Reducing the Knowledge Tracing Space

Obtaining Rubric Weights For Assessments By More Than One Lecturer Using A Pairwise Learning Model

Automatic Concept Relationships Discovery for an Adaptive E-course

A Data Mining Approach to Reveal Representative Collaboration Indicators in Open Collaboration Frameworks

Predicting Students Drop Out: A Case Study

Unsupervised MDP Value Selection for Automating ITS Capabilities

Consistency of Students' Pace in Online Learning

Predicting Correctness of Problem Solving from Low- level Log Data in Intelligent Tutoring Systems

Process Mining Online Assessment Data

Using Dirichlet priors to improve model parameter plausibility

Collaborative Data Mining Tool for Education

Detecting and Understanding the Impact of Cognitive and Interpersonal Conflict in Computer Supported Collaborative Learning Environments

Visualization of Differences in Data Measuring Mathematical Skills

Conditional Subspace Clustering of Skill Mastery: Identifying Skills that Separate Students

Improving Student Question Classification

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