معرفی
Ying Alison Cheng is a Professor at the University of Notre Dame and Associate Director of the Lucy Family Institute for Data and Society. She is also a Fellow of the Institute for Educational Initiatives. Her work focuses on two key areas: psychological/educational measurement and learning analytics. She directs the LAMBS lab, which applies data mining to large-scale, multi-modal learning data and advances theoretical frameworks in item response theory (IRT), computerized adaptive testing (CAT), and cognitive diagnostic models.
In measurement research, her interests include test equity, classification accuracy, and DIF analysis. For learning analytics, she explores process data from human-computer interactions and integrates self-report methods with performance outcomes. Her research bridges statistical rigor and practical applications in educational assessment.
No scientific awards are explicitly listed in the provided text. Her advising and grants activities are not detailed here, though her lab's focus suggests collaborative projects in educational technology and psychometrics. The LAMBS lab serves as a hub for interdisciplinary research in behavioral sciences and data-driven education.
