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Chunling Niu, PhD

Associate Professor, Statistics and Data Science

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Bio

Dr. Chunling Niu is an Associate Professor at The University of Texas at San Antonio under the Regents' Research Excellence Program, with a joint appointment between the Department of Interdisciplinary Learning and Teaching (ILT) in the College of Education and Human Development and the Department of Statistics & Data Science in the College of AI, Cyber and Computing. She previously worked at the University of the Incarnate Word, the University of Kentucky and Western Kentucky University. Her main research spans the areas of interprofessional AI applications and education, human-AI co-agency, AI-integrated assessment and measurement, AI-assisted decision science, psychometrics and rater-mediated performance assessment and educational data science, all in both methodological and applied perspectives.

Her work has appeared in peer-reviewed, high-impact journals such as Humanities & Social Sciences Communications, Education and Information Technologies, Research in the Teaching of English, Practical Assessment, Research, and Evaluation, Model Assisted Statistics and Applications, Journal of Applied Measurement, The American Journal of Distance Education, Journal of Positive Behavior Interventions, Journal of Youth Development, College Student Affairs Journal, Leadership and Policy in Schools, Intelligent Technologies in Education and others, as well as in the proceedings of the IEEE Conference on Artificial Intelligence, the IFIP International Conference on Artificial Intelligence Applications and Innovations and the NCME Conference on Artificial Intelligence in Measurement and Education.

She has also conducted interdisciplinary research with scholars from social work, public health, internal medicine, human resource management, construction management, human-computer interaction and other fields. Her collaborative work has been published in journals such as Military Medicine, Cureus, Health Promotion Practice, International Journal of Human-Computer Interaction, Child & Family Social Work, Children and Youth Services Review, Clinical Social Work Journal, European Journal of Social Work, Adoption Quarterly, Built Environment Project and Asset Management and others.

Teaching

  • Probability and Statistics
  • Educational Data Science
  • Educational Research Design & Methodology
  • Psychometrics, Measurement & Assessment
  • Program Evaluation Theory and Methods

Degrees

  • PhD University of Kentucky
  • EdD Western Kentucky University
  • MA Guangdong University of Foreign Studies
  • BA Guangdong University of Foreign Studies

Publications

  • Niu, C.,Bradley, K., Grote-Garcia, S., Love, A. (2026). Predicting Compound Risk in AI Incidents: A Cross-Sector Classification Approach with Education as a Critical Case. In: Maglogiannis, I., Iliadis, L., Zervakis, M., Papaleonidas, A. (eds) Artificial Intelligence Applications and Innovations. AIAI 2026. IFIP Advances in Information and Communication Technology, vol 794. Springer, Cham. https://doi.org/10.1007/978-3-032-30805-4_20
  • Jin, R., Niu, C.,& Zhao, M. (2026). What individual factors matter for secondary students’ ICT self-efficacy? Humanities & Social Sciences Communications. https://doi.org/10.1057/s41599-026-08307-4
  • Niu, C.,Rio-Guerra, M., Jin, R., Marrero, E., Carroll, J., & Brady, C. (2026). When human–AI collaboration failed: Analyzing sociotechnical incident patterns in educational AI. In Proceedings of the 18th International Conference on Computer Supported Education (Vol. 1, pp. 438–445). SCITEPRESS. https://doi.org/10.5220/0014897100004021
  • Sadeghi, S., Harrison, T., & Niu, C.(in press, 2026). Artificial intelligence in human resource management: HR professionals’, employees’, and job applicants’ perceptions and outcomes. Research in Human Resource Management.
  • Sadeghi, S., Niu, C.,Marjani, T., & Lotfi, R. (2026). Machine learning-enabled construction project management: systematic review, comparative performance synthesis and implementation framework. Built Environment Project and Asset Management, 1-23. https://doi.org/10.1108/BEPAM-11-2024-0264
  • Niu, C.,Bradley, K., Jin, R., & Love, A. (2025). Systematic Comparison of Two Approaches for Validating and Using Rater-Mediated Performance Assessments. Practical Assessment, Research, and Evaluation, 30(1), 13. DOI: https://doi.org/10.7275/pare.2042
  • Niu, C., Sadeghi, S., Jin, R., Grote-Garcia, S., Love, A., Waltman, B., Garfield, T., & Hernandez, A. (2025). Potentially Divergent Paths in the AI Era? A Comprehensive Policy Analysis of Artificial Intelligence Integration Frameworks Across Texas Hispanic-Serving Institutions.Intelligent Technologies in Education, Advanced Online Publication. https://doi.org/10.53761/ssw9kz69
  • Jin, R., Zhao, M., Niu, C.,Xia, Y., Zhou, H., & Liu, N. (2025). Evaluating the performance of ChatGPT and Claude in automated writing scoring: Insights from the Many-facet Rasch model. Education and Information Technologies, 1-28. https://doi.org/10.1007/s10639-025-13774-4
  • Niu, C.,Bradley, K., Cossette, L., Waltman, B., Biao, Ma., & Jin, R. (2025, October). Bias and Reliability in AI Safety Assessment: Multi-Facet Rasch Analysis of Human Moderators. In Proceedings of the Artificial Intelligence in Measurement and Education Conference (AIME-Con): Full Papers (pp. 393-397). https://aclanthology.org/2025.aimecon-main.42.pdf
  • Niu, C., Jin, R., Sadeghi, S., Cossette, L., & Molina, M. (2025). COVID-19 Adolescent Technology Use and Physical Activities: Cluster Analysis for Mental Health. Journal of Youth Development, 20(3), 6. https://open.clemson.edu/jyd/vol20/iss3/6
  • Niu, C.,Sadeghi, S., Del Rio-Guerra, M. S., Bradley, K., Ammari, M. E., & Hernandez, A. E. (2025, May). Alignment Divergence Metrics: Measuring Human-AI Concordance in Document Content Analysis. In 2025 IEEE Conference on Artificial Intelligence (CAI) (pp. 1235-1238). IEEE. https://doi.org/10.1109/CAI64502.2025.00214