Conferences in DBLP

(edm)
2008 (conf/edm/2008)

1. 
   Data Mining Algorithms to Classify Students. [Citation Graph (, )][DBLP]
   
   
2. 
   Acquiring Background Knowledge for Intelligent Tutoring Systems. [Citation Graph (, )][DBLP]
   
   
3. 
   Analytic Comparison of Three Methods to Evaluate Tutorial Behaviors. [Citation Graph (, )][DBLP]
   
   
4. 
   Labeling Student Behavior Faster and More Precisely with Text Replays. [Citation Graph (, )][DBLP]
   
   
5. 
   Adaptive Test Design with a Naive Bayes Framework. [Citation Graph (, )][DBLP]
   
   
6. 
   Interestingness Measures for Associations Rules in Educational Data. [Citation Graph (, )][DBLP]
   
   
7. 
   Improving Contextual Models of Guessing and Slipping with a Trucated Training Set. [Citation Graph (, )][DBLP]
   
   
8. 
   Using Item-type Performance Covariance to Improve the Skill Model of an Existing Tutor. [Citation Graph (, )][DBLP]
   
   
9. 
   Data-driven modelling of students' interactions in an ILE. [Citation Graph (, )][DBLP]
   
   
10. 
    Integrating Knowledge Gained From Data Mining With Pedagogical Knowledge. [Citation Graph (, )][DBLP]
    
    
11. 
    Can an Intelligent Tutoring System Predict Math Proficiency as Well as a Standarized Test?. [Citation Graph (, )][DBLP]
    
    
12. 
    A Response Time Model For Bottom-Out Hints as Worked Examples. [Citation Graph (, )][DBLP]
    
    
13. 
    Mining Student Behavior Models in Learning-by-Teaching Environments. [Citation Graph (, )][DBLP]
    
    
14. 
    Argument graph classification with Genetic Programming and C4.5. [Citation Graph (, )][DBLP]
    
    
15. 
    The Composition Effect: Conjuntive or Compensatory? An Analysis of Multi-Skill Math Questions in ITS. [Citation Graph (, )][DBLP]
    
    
16. 
    An Open Repository and analysis tools for fine-grained, longitudinal learner data. [Citation Graph (, )][DBLP]
    
    
17. 
    Mining Data from an Automated Grading and Testing System by Adding Rich Reporting Capabilities. [Citation Graph (, )][DBLP]
    
    
18. 
    Analyzing Rule Evaluation Measures with Educational Datasets: A Framework to Help the Teacher. [Citation Graph (, )][DBLP]
    
    
19. 
    Mining and Visualizing Visited Trails in Web-Based Educational Systems. [Citation Graph (, )][DBLP]
    
    
20. 
    Mining the Student Assessment Data: Lessons Drawn from a Small Scale Case Study. [Citation Graph (, )][DBLP]
    
    
21. 
    Machine Classification of Peer Comments in Physics. [Citation Graph (, )][DBLP]
    
    
22. 
    A pilot study on logic proof tutoring using hints generated from historical student data. [Citation Graph (, )][DBLP]
    
    
23. 
    Towards Argument Mining from Relational DataBase. [Citation Graph (, )][DBLP]
    
    
24. 
    Skill Set Profile Clustering Based on Weighted Student Responses. [Citation Graph (, )][DBLP]
    
    
25. 
    Can we predict which groups of questions students will learn from?. [Citation Graph (, )][DBLP]
    
    
26. 
    Developing a Log-based Motivation Measuring Tool. [Citation Graph (, )][DBLP]
    
    
27. 
    Mining Free-form Spoken Responses to Tutor Prompts. [Citation Graph (, )][DBLP]
    
    
28. 
    Computational Infrastructures for School Improvement: A Way to Move Forward. [Citation Graph (, )][DBLP]
    
    
29. 
    A Preliminary Analysis of the Logged Questions that Students Ask in Introductory Computer Science. [Citation Graph (, )][DBLP]
    
    
30. 
    Reinforcement Learning-based Feature Seleciton For Developing Pedagogically Effective Tutorial Dialogue Tactics. [Citation Graph (, )][DBLP]
    
    
31. 
    Do Students Who See More Concepts in an ITS Learn More?. [Citation Graph (, )][DBLP]