26 citations · 35 across the 8 of their papers we have counts for
5 papers · 1 filter
Positioning Generative Artificial Intelligence in STEM Assessment: When to Require, Scaffold, or Restrict Its Use
Yizhu Gao, Zhongzhou Chen, Min Li +1
Generative Artificial Intelligence (GenAI) presents a governance challenge for STEM assessment. Unrestricted access can enable task outsourcing that undermines the validity of trad…
Generative AI as a Design Variable: An Evidence-Centered Framework for Principled Governance in STEM Assessment
Yizhu Gao, Zhongzhou Chen, Min Li +1
Generative Artificial Intelligence (GenAI) presents a governance challenge for STEM assessment. Unrestricted GenAI access enables task outsourcing that undermines the validity of t…
A Framework for Human-AI Q-Matrix Refinement: A NeuralCDM Evaluation
Ying Zhang, Ningxi Cheng, Yizhu Gao +5
Q-matrices are a cornerstone of theory-driven assessment and learning analytics, making item demands and students' underlying knowledge components and misconceptions explicit and a…
Can OpenAI o1 outperform humans in higher-order cognitive thinking?
Ehsan Latif, Yifan Zhou, Shuchen Guo +6
This study evaluates the performance of OpenAI's o1-preview model in higher-order cognitive domains, including critical thinking, systematic thinking, computational thinking, data…
A Systematic Assessment of OpenAI o1-Preview for Higher Order Thinking in Education
Ehsan Latif, Yifan Zhou, Shuchen Guo +24
As artificial intelligence (AI) continues to advance, it demonstrates capabilities comparable to human intelligence, with significant potential to transform education and workforce…