Dr. Laura Dumin
Dr. Laura Dumin was our guest on the podcast "What Training and Development Can Learn from AI in Higher Education". You can learn more about her work and follow her social media on her website.
More resources coming soon as our blog articles publish.
Metacognition 2.0: Teaching Learners to Think About How AI Thinks
Hurley, K. (2025). The paradox of AI assistance: Better results, worse thinking. EDUCAUSE Review. https://er.educause.edu/articles/2025/12/the-paradox-of-ai-assistance-better-results-worse-thinking
Kalai, A. T., Nachum, O., Vempala, S. S., & Zhang, E. (2025). Why language models hallucinate. arXiv:2509.04664. https://doi.org/10.48550/arXiv.2509.04664
Naiseh, M., Al-Thani, D., Jiang, N., & Ali, R. (2023). How the different explanation classes impact trust calibration: The case of clinical decision support systems. International Journal of Human-Computer Studies, 169, 102941. https://doi.org/10.1016/j.ijhcs.2022.102941
Lee, D., Pruitt, J., Zhou, T., Du, J., & Odegaard, B. (2025). Metacognitive sensitivity: The key to calibrating trust and optimal decision making with AI. PNAS Nexus, 4(5), pgaf133. https://doi.org/10.1093/pnasnexus/pgaf133