72 citations · 75 across the 3 of their papers we have counts for
3 papers
cs.HC2024
PromptHive: Bringing Subject Matter Experts Back to the Forefront with Collaborative Prompt Engineering for Educational Content Creation
Mohi Reza, Ioannis Anastasopoulos, Shreya Bhandari +1
Involving subject matter experts in prompt engineering can guide LLM outputs toward more helpful, accurate, and tailored content that meets the diverse needs of different domains.…
cs.CY2024★ 3 cited
Leveraging LLM-Respondents for Item Evaluation: a Psychometric Analysis
Yunting Liu, Shreya Bhandari, Zachary A. Pardos
Effective educational measurement relies heavily on the curation of well-designed item pools (i.e., possessing the right psychometric properties). However, item calibration is time…
cs.CY2023★ 72 cited
Learning gain differences between ChatGPT and human tutor generated algebra hints
Zachary A. Pardos, Shreya Bhandari
Large Language Models (LLMs), such as ChatGPT, are quickly advancing AI to the frontiers of practical consumer use and leading industries to re-evaluate how they allocate resources…