Brian Wesolowski is a Professor of Music Education at the University of Georgia. His teaching focuses on graduate music education, including quantitative research design, assessment and policy in education and music, educational measurement, and statistical programming. His primary research interest includes the study of rater behavior in formal music adjudication contexts as well as areas of scale development, educational assessment policy, and broad applications of assessment, measurement, and evaluation in large-scale testing and classroom contexts. His methodological interests include areas of modern measurement theory, latent variable modeling, machine/deep learning, and predictive analytics.
Dr. Wesolowski is the author of From Data to Decisions in Music Education Research: Data Analytics and the General Linear Model Using R (Routledge, 2022). He has contributed over 70 peer-reviewed articles/chapters published in The Journal of Research in Music Education, Bulletin of the Council for Research in Music Education, Journal of Educational Measurement, Educational Assessment, Research Studies in Music Education, PloS One, Music Perception, The Journal of New Music Research, Musicae Scientiae, International Journal of Music Education, Psychology of Music, Psychomusicology: Music, Mind, and Brain, Research Perspectives in Music Education, Visions of Research in Music Education, Research and Issues in Music Education, Music Educators Journal, Saxophone Symposium, Florida Music Director, and Georgia Music News. He has contributed chapters to The Oxford Handbook of Assessment Policy and Practice in Music Education, The SAGE Encyclopedia of Educational Research, Measurement, and Evaluation, Applying Model Cornerstone Assessments in K-12 Music: A Research-Supported Approach, Developing and Applying Assessments in the Music Classroom, and The Oxford Handbook of Performing Music Evaluation: The Science and Practice of Valuing Musical Performance.