Search Constraints
Search Results
Select an image to start the slideshow
Theory and Practice: Improving Retention Performance through Student Modeling and System Building
1 of 10
A Prediction Model Uses the Sequence of Attempts and Hints to Better Predict Knowledge: Better to Attempt the Problem First, Rather Than Ask for A Hint
2 of 10
Tracing Knowledge and Engagement in Parallel by Observing Behavior in Intelligent Tutoring Systems
3 of 10
Modeling Student Retention in an Environment with Delayed Testing
4 of 10
Can a computer adaptive assessment system determine, better than traditional methods, whether students know mathematics skills?
5 of 10
An Empirical Evaluation of Student Learning by the Use of a Computer Adaptive System
6 of 10
Leveraging Influential Factors into Bayesian Knowledge Tracing
7 of 10
Increasing parent engagement in student learning using an Intelligent Tutoring System with Automated Messages
8 of 10
Trying to Reduce Gaming Behavior by Students in Intelligent Tutoring Systems
9 of 10
Towards Assessing Students' Fine Grained Knowledge: Using an Intelligent Tutor for Assessment
10 of 10