From Feature-Based Models to Generative AI: Validity Evidence for Constructed Response Scoring

1. 1Investigate the use of large language models for constructed response scoring
2. 2Evaluate the validity evidence for generative AI scoring methods
3. 3Compare the performance of generative AI with traditional feature-based models
4. 4Consider the implications of generative AI on the high-stakes testing context

AI engineers, data scientists, and educators on a team can benefit from this research as it provides insights into the application of generative AI in high-stakes testing, enabling more efficient and accurate scoring methods

💡 Generative AI can potentially reduce the effort required for handcrafting features and outperform traditional AI scoring methods

💡 Generative AI may revolutionize constructed response scoring in high-stakes testing!