Marjorie Wine
Author directory2026
Programmatic Tiered Prompting for LLM Generation of ELA & Math Items
David Whitecomb | Marjorie Wine | Alexander Hoffman
Proceedings of the Artificial Intelligence in Measurement and Education Conference (AIME-Con): Coordinated Session Papers
David Whitecomb | Marjorie Wine | Alexander Hoffman
Proceedings of the Artificial Intelligence in Measurement and Education Conference (AIME-Con): Coordinated Session Papers
Using the LBIDAT protocol, we evaluated items generated by three LLMs (Claude, Gemini, GPT) across six zero-shot prompting tiers for 8th-grade standards. Neither prompt tier nor model affected defect severity. ELA items were consistently poor; mathematics items passed the low bar while falling short of appropriate grade-level cognitive complexity.