Duanli Yan

عن المؤلف

Duanli Yan is an esteemed researcher in the fields of educational assessment and psychometrics, particularly known for his contributions to the application of Bayesian networks in these areas. His work has significantly advanced the understanding and implementation of statistical models in educational settings, providing valuable insights into student assessment and performance evaluation. Yan's expertise extends to computerized adaptive testing and multistage testing, where he has contributed to developing methodologies that enhance the efficiency and accuracy of assessments.

His notable publications, including 'Bayesian Networks in Educational Assessment' and 'Computerized Adaptive and Multistage Testing with R: Using Packages catR and mstR', showcase his commitment to integrating statistical techniques with practical applications in education. Through his research, Duanli Yan continues to influence educators and researchers alike, fostering a deeper understanding of assessment practices and their implications for teaching and learning.