EdUHK Hosts Seminar on Behavioral and Strategic Patterns in Large-Scale Assessments
Hong Kong, February 17, 2025 – The Department of Mathematics and Information Technology at The Education University of Hong Kong (EdUHK) hosted a distinguished departmental seminar featuring Dr. Qiwei He, Associate Professor at Georgetown University. The seminar, titled "Detecting Behavioral and Strategic Patterns in Large-Scale Assessments with Sequence Mining on Process Data," provided an insightful discussion on the role of data mining and AI-driven analysis in educational assessment.
Dr. He, an expert in data science, psychometric modeling, and machine learning, shared her research on utilizing process data in digital-based large-scale assessments. She highlighted how sequence mining and AI-based large language models can offer deeper insights into test-taking behaviors and problem-solving strategies. Her presentation explored various methodologies, including n-grams models, sequence proximity measures, latent sequence modeling, and AI-powered analytics, emphasizing their significance in improving educational assessments.
During the seminar, Dr. He addressed the applications of sequential process data in adaptive testing, test validity, latent ability estimation, and cross-national comparisons. She also underscored the emerging trend of integrating AI and machine learning into large-scale assessment frameworks to enhance educational quality assurance and automated assessment mechanisms.
The event was moderated by Dr. Sun Daner, Assistant Professor at EdUHK, and attracted a diverse audience of researchers, educators, and students eager to explore advancements in AI-driven educational assessment. Attendees engaged in a stimulating discussion on how these innovations could transform learning analytics and assessment methodologies globally.
Dr. He, who is also the Founder and Director of the AI-Measurement and Data Science Lab at Georgetown University, has an extensive background in psychometrics and data-driven assessment models. She previously served as a Senior Research Scientist at Educational Testing Service (ETS), contributing to major international and national large-scale assessments, including PISA, PIAAC, and NAEP.
This seminar is part of EdUHK’s ongoing efforts to foster academic exchange on emerging AI and data science applications in education. The university continues to lead discussions on the future of educational technology, intelligent assessment models, and AI-enhanced learning analytics.
