Proceedings of Educational Data Mining, 2010

Inferring the Differential Student Model in a Probabilistic Domain using Abduction Inference in Bayesian Networks

Mining Rare Association Rules from e-Learning Data

Data Reduction Methods Applied to Understanding Complex Learning Hypotheses

Class Association Rule Mining from Students' Test Data

Mining Bodily Patterns of Affective Experience during Learning

Unsupervised Discovery of Student Learning Tactics

Automatic Rating of User-Generated Math Solutions

Identifying High-Level Student Behavior Using Sequence-based Motif Discovery

EDM Visualization Tool: Watching Students Learn

Conceptualizing Procedural Knowledge Targeted at Students of Different Skill Levels

Navigating the parameter space of Bayesian Knowledge Tracing models: Visualizations of the convergence of the Expectation Maximization algorithm

Assessing Reviewersâ€™ Performance Based on Mining Problem Localization in Peer-Review Data

Can order of access to learning resources predict success ?

A Review of Student Churn in the Light of Theories on Business Relationships

Effort-based Tutoring: An Empirical Approach to Intelligent Tutoring

Tracking Students' Inquiry Paths through Student Transition Analysis

Hierarchical Structures of Content Items in LMS

A Distillation Approach to Refining Learning Objects

An Analysis of the Differences in the Frequency of Studentsâ€™ Disengagement in Urban, Rural, and Suburban High Schools

Pundit: Intelligent Recommender of Courses

Multiple Test Forms Construction based on Bees Algorithm

Where in the World? Demographic Patterns in Access Data1

Using Neural Imaging and Cognitive Modeling to Infer Mental States while Using an Intelligent Tutoring System

Sentiment Analysis in Student Experiences of Learning

Examining Learner Control in a Structured Inquiry Cycle Using Process Mining

Using Text Replay Tagging to Produce Detectors of Systematic Experimentation Behavior Patterns

Using Educational Data Mining Methods to Study the Impact of Virtual Classroom in E-Learning

A Data Model to Ease Analysis and Mining of Educational Data

On the Faithfulness of Simulated Student Performance Data

Using Topic Models to Bridge Coding Schemes of Differing Granularity

Predicting Task Completion from Rich but Scarce Data

Analysis of a causal modeling approach: a case study with an educational intervention

Modeling Learning Trajectories with Epistemic Network Analysis: A Simulation-based Investigation of a Novel Analytic Method for Epistemic Games

DISCUSS: Enabling Detailed Characterization of Tutorial Interactions Through Dialogue Annotation

Analysis of Productive Learning Behaviors in a Structured Inquiry Cycle Using Hidden Markov Models

A Preliminary Investigation of Hierarchical Hidden Markov Models for Tutorial Planning

Can We Get Better Assessment From A Tutoring System Compared to Traditional Paper Testing? Can We Have Our Cake (Better Assessment) and Eat It too (Student Learning During the Test)?

A Data Driven Approach to the Discovery of Better Cognitive Models

A Case Study: Data Mining Applied to Student Enrollment

An Annotations Approach to Peer Tutoring

Mining Students' Interaction Data from a System that Support Learning by Reflection

Identifying Students' Inquiry Planning Using Machine Learning

Using Numeric Optimization To Refine Semantic User Model Integration Of Educational Systems

Using LiMS (the Learner Interaction Monitoring System) to Track Online Learner Engagement and Evaluate Course Design

Representing Student Performance with Partial Credit

Higher Contributions Correlate with Higher Learning Gains

Observing Online Curriculum Planning Behavior of Teachers

AutoJoin: Generalizing an Example into an EDM query

Towards EDM Framework for Personalization of Information Services in RPM Systems

Pinpointing Learning Moments; A finer grain P(J) model

Data Mining of both Right and Wrong Answers from a Mathematics and a Science M/C Test given Collectively to 11,228 Students from India [1] in years 4, 6 and 8

Process Mining to Support Students' Collaborative Writing

Peer Production of Online Learning Resources: A Social Network Analysis

Off Topic Conversation in Expert Tutoring: Waste of Time or Learning Opportunity?

Using a Bayesian Knowledge Base for Hint Selection on Domain Specific Problems

Analyzing Learning Styles using Behavioral Indicators in Web based Learning Environments

Online Curriculum Planning Behavior of Teachers

When Data Exploration and Data Mining meet while Analysing Usage Data of a Course

Is Students' Activity in LMS Persistent?

Clustering Student Learning Activity Data

Mining information from tutor data to improve pedagogical content knowledge

Skill Set Profile Clustering: The Empty K-Means Algorithm with Automatic Specification of Starting Cluster Centers

Data Mining for Individualised Hints in eLearning

Using multiple Dirichlet distributions to improve parameter plausibility

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Proceedings of Educational Data Mining, 2010

Proceedings