Shiyu Wang

My research focuses on methodological innovations and advances in three areas: 1) developing innovative adaptive testing designs that can provide efficient individualized assessments and an examinee-friendly testing environment; 2) establishing statistical foundations for a family of restricted latent class models to provide guidelines for model estimation and selection; and 3) developing novel dynamic psychometric models that can measure and predict students’ learning outcomes based on various assessment data, including product data (i.e., students’ responses) and process data (i.e., response time, learning time, eye-tracking data.).

I am looking for self-motivated master and Ph.D. students to join my research group in Fall 2024.