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Proceedings of Educational Data Mining, 2012

Proceedings

2012
Model-Based Collaborative Filtering Analysis of Student Response Data: Machine-Learning Item Response Theory
Towards Sensor-Free Affect Detection in Cognitive Tutor Algebra
Searching for Variables and Models to Investigate Mediators of Learning from Multiple Representations
Variable Construction and Causal Discovery for Cognitive Tutor Log Data: Initial Results
Finding Dependent Test Items: An Information Theory Based Approach
Methods to find the number of latent skills
Stress Analytics in Education
Leveraging First Response Time into the Knowledge Tracing Model
CurriM: Curriculum Mining
Fit-to-Model Statistics for Evaluating Quality of Bayesian Student Ability Estimation
Inferring learners' knowledge from observed actions
The real world significance of performance prediction
Data mining techniques for design of ITS student models
Co-Clustering by Bipartite Spectral Graph Partitioning for Out-of-Tutor Prediction
The Rise of the Super Experiment
Analyzing paths in a student database
A promising classification method for predicting distance students' performance.
Deciding on Feedback Polarity and Timing
Automated Student Model Improvement
Stream Mining in Education? Dealing with Evolution
Interaction Networks: Generating High Level Hints Based on Network Community Clustering
The Impact on Individualizing Student Models on Necessary Practice Opportunities
Learning Gains for Core Concepts in a Serious Game on Scientific Reasoning
Interleaved Practice with Multiple Representations: Analyses with Knowledge Tracing Based Techniques
Learning Paths in a Non-Personalizing e-Learning Environment
Comparison of methods to trace multiple subskills: Is LR-DBN best?
Meta-learning approach for automatic parameter tuning: A case study with educational datasets
Using Edit Distance to Analyse Errors in a Natural Language to Logic Translation Corpus
Automated Discovery of Speech Act Categories in Educational Games
Dynamic Cognitive Tracing: Towards Unified Discovery of Student and Cognitive Models
Mining Student Behavior Patterns in Reading Comprehension Tasks
Similarity Functions for Collaborative Master Recommendations
Speaking (and touching) to learn: a method for mining the digital footprints of face-to-face collaboration
Automated Detection of Mentors and Players in an Educational Game
Classification via clustering for predicting final marks based on student participation in forums
Learner Differences in Hint Processing
Assisting Instructional Assessment of Undergraduate Collaborative Wiki and SVN Activities
Early Prediction of Student Self-Regulation Strategies by Combining Multiple Models
Development of a Workbench to Address the Educational Data Mining Bottleneck
Policy Building - An Extension To User Modeling
Analyzing the behavior of a teacher network in a Web 2.0 environment
Identifying Successful Learners from Interaction Behaviour
Social Networks Analysis for Quantifying Students' Performance in Teamwork
Calculating Probabilistic Distance to Solution in a Complex Problem Solving Domain
Identifying Students' Characteristic Learning Behaviors in an Intelligent Tutoring System Fostering Self-Regulated Learning
Five Aspirations for Educational Data Mining
Mining Concept Maps to Understand University Students' Learning
Identifying Learning Behaviors by Contextualizing Differential Sequence Mining with Action Features and Performance Evolution
Using Student Modeling to Estimate Student Knowledge Retention
From Text to Feedback: Leveraging Data Mining to Build Educational Technologies
Predicting drop-out from social behaviour of students
Categorizing Students' Response Patterns using the Concept of Fractal Dimension

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