Regular biography
Associate Professor Michael Bulmer is a member of the School of Mathematics and Physics at The University of Queensland, where he contributes to teaching and learning initiatives. He teaches first-year statistics and mathematics, as well as postgraduate statistics and statistics in third-year health and rehabilitation sciences. His research interests include statistical education, data analysis, and the application of technology in teaching. Bulmer has authored several publications, including a book on data analysis, and has presented at various conferences on topics such as synthetic data in statistics education and collaborative learning tools. He is also involved in the development of virtual environments and online resources to support statistical learning.
Scholar-generated biography
Michael Bulmer is a researcher in computational mathematics and statistics education. His work explores the application of computational methods in reliability modeling, such as Weibull model selection and two-dimensional failure modeling. He also investigates the use of technology in statistics education, including virtual environments, simulated populations, and cloud-based collaboration tools to enhance student engagement and understanding. His research includes studies on student perceptions of virtual environments, project-based assessment, and the challenges of learning statistics, such as troublesome concepts and truth in geometry theorems. Bulmer's publications highlight the integration of technology and pedagogical strategies to support statistical learning and assessment in large classes.