Fine-tuned GPT-3.5 Performance: Praise Component Identification Results
31 May 2025
Detailed results of fine-tuned GPT-3.5 models showing mean, std, min, and max M-IoU scores for identifying effort- and outcome-based praise
Correlation of M-IoU with Human Judgments for Outcome-Based Praise
31 May 2025
This scatter matrix visualizes the strong positive correlation between M-IoU scores and human coder ratings for outcome-based praise in automated feedback
Input Format for Fine-tuning GPT-3.5 for Praise Evaluation
31 May 2025
Explore the structured input format sed to fine-tune GPT-3.5 models for identifying effort- and outcome-based praise in tutor responses via JSON output.
Lesson Principles: Defining Effective Praise in Tutoring
31 May 2025
Explore the core principles defining effective praise for student motivation, including sincerity, specificity, and focus on the learning process
Cited Works: AI in Education, Natural Language Processing, and Tutoring Research
31 May 2025
A list of academic references at the intersection of artificial intelligence in education and natural language processing techniques
Acknowledgments: Funding and Support for Explanatory Feedback Research
30 May 2025
Acknowledging the funding bodies and individuals who supported the research on automated explanatory feedback using GPT models.
Conclusion: GPT Models for Automated Explanatory Feedback
29 May 2025
We conclude our study on enhancing automated feedback systems using GPT models, demonstrating the effectiveness of prompting and fine-tuning for tutor training.
Discussing GPT Models for Automated Explanatory Feedback in Tutor Training
29 May 2025
Our discussion covers GPT's role in delivering automated explanatory feedback for tutors, comparing prompting and fine-tuning approaches,
GPT Prompting Performance: Explanatory Feedback for Tutor Praise
28 May 2025
We evaluate GPT-3.5 and GPT-4's performance in identifying praise components via prompting, revealing M-IoU scores and human satisfaction levels