Research

Selected publications

• McClure, J., and Gerdau, G. (2026). Why AI Readiness Is an Organizational Learning Problem, Not a Technology Purchase: The Structural Evolution of Enterprise AI Capability. SSRN. Cited in AI Business, June 2026.
• McClure, J., Shimmei, M., Matsuda, N., and Jiang, S. (2024). Leveraging Targeted Assertions in LLMs to Overcome Imbalances in Complex Educational Text Data. arXiv.
• McClure, J., Zheng, J., Bickel, F., Jiang, S., Rosé, C., and Chao, J. (2024). Modeling with Primary Sources: An Approach to Teach Data Bias for AI and Machine Learning Education. ICLS 2024. Outstanding Design Paper Award.
• McClure, J., Smyslova, D., Hall, A., and Jiang, S. (2024). It's All About the Prompt: Deductive Coding's Role in AI vs. Human Performance. Educational Data Mining (EDM) 2024.
• Jiang, S., McClure, J., Tatar, C., Bickel, F., Rosé, C., and Chao, J. (2024). Toward Inclusivity in Artificial Intelligence: A Comparative Study of Cognitive Engagement between Marginalized Female Students and Peers. British Journal of Educational Technology.
• Jiang, S., McClure, J., Mao, H., Chen, J., Liu, Y., and Zhang, Y. (2023). Integrating Machine Learning and Color Chemistry: Developing a High-School Curriculum toward Real-World Problem-Solving. Journal of Chemical Education.

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