Search Constraints
Search Results
Select an image to start the slideshow
Fine-Tuning Open-Source Large Language Models for Generating Math Explanations
1 of 20
Aiding in the Migration of the E-Trials Platform
2 of 20
Assisting Learning Through Student Mastery Metrics
3 of 20
Assisting Learning Through Student Mastery Metrics
4 of 20
Developing Features and Maintenance Improvements for the E-TRIALS Platform
5 of 20
Developing Quality of Life Features for the E-TRIALS Platform
6 of 20
Understanding and Optimizing Mistake Messages in Mathematics
7 of 20
Improving the E-TRIALS User Experience
8 of 20
Assessing Student Support Effectiveness
9 of 20
Developing Knowledge Tracing for Problem Mastery in ASSISTments
10 of 20
Preparing the E-TRIALS Minimum Viable Product for Release: Improving Platform Usability, Security, & Infrastructure
11 of 20
Contextual Bandit Approaches to Personalized Tutoring
12 of 20
Integrating Development Operations Procedure into ASSISTMENT’s LIVE-CHART Service
13 of 20
Warrior tutoring -- an intelligent tutoring system for the US army
14 of 20
Using Bayesian networks to predict test scores
15 of 20
Latent semantic analysis for use in a museum exhibit
16 of 20
Curriculum tools in the ASSISTment project
17 of 20
Applying machine learning techniques to rule generation in intelligent tutoring
18 of 20
Developing Software Infrastructure that Empowers Teachers to Create Custom Content on a Computer Aided Learning Platform
19 of 20
Automatic Reassessment and Relearning System Transition to Vue in Assistments
20 of 20