Multi-Dimensional Performance Analysis of Large Language Models for Classroom Discussion Assessment.
- Published in:
- Journal of Educational Data Mining, 2024, v. 16, n. 2, p. 304
- By:
- Publication type:
- Article
Works matching IS 21572100 AND DT 2024 AND VI 16 AND IP 2
Results: 9
1
2
A Scalable, Flexible, and Interpretable Analytic Pipeline for Stealth Assessment in Complex Digital Game-Based Learning Environments: Towards Generalizability.
- Published in:
- Journal of Educational Data Mining, 2024, v. 16, n. 2, p. 214
- By:
- Publication type:
- Article
3
Investigating Demographic Features and their Connection to Performance, Predictions, and Fairness in EDM Models.
- Published in:
- Journal of Educational Data Mining, 2024, v. 16, n. 2, p. 177
- By:
- Publication type:
- Article
4
Estimation of ICAP States Based on Interaction Data During Collaborative Learning.
- Published in:
- Journal of Educational Data Mining, 2024, v. 16, n. 2, p. 149
- By:
- Publication type:
- Article
5
Explaining Explainability: Early Performance Prediction with Student Programming Pattern Profiling.
- Published in:
- Journal of Educational Data Mining, 2024, v. 16, n. 2, p. 115
- By:
- Publication type:
- Article
6
ACE: AI-Assisted Construction of Educational Knowledge Graphs with Prerequisite Relations.
- Published in:
- Journal of Educational Data Mining, 2024, v. 16, n. 2, p. 85
- By:
- Publication type:
- Article
7
Advanced Knowledge Tracing: Incorporating Process Data and Curricula Information via an Attention-Based Framework for Accuracy and Interpretability.
- Published in:
- Journal of Educational Data Mining, 2024, v. 16, n. 2, p. 58
- By:
- Publication type:
- Article
8
ClickTree: A Tree-based Method for Predicting Math Students' Performance Based on Clickstream Data.
- Published in:
- Journal of Educational Data Mining, 2024, v. 16, n. 2, p. 32
- By:
- Publication type:
- Article
9
Predicting Students' Future Success: Harnessing Clickstream Data with Wide & Deep Item Response Theory.
- Published in:
- Journal of Educational Data Mining, 2024, v. 16, n. 2, p. 1
- By:
- Publication type:
- Article