涩里番下载

Emma M. Klugman is an Assistant Professor of the Practice in the Measurement, Evaluation, Statistics, and Assessment department, as well as the Program Director for the M.S. in Data Science degree. She came to 涩里番下载 after completing her Ph.D. at Harvard in Education Policy & Program Evaluation with a minor in Data Science. She also holds a Masters in Education and a Bachelors in Statistics and Computer Science from Harvard.

Dr. Klugman's work explores whether the rapid rise of statistics and data science teaching in recent decades has been accompanied by a modernization of pedagogy, as well as by equitable access to students from different backgrounds. In one project, she combines tools from natural language processing and psychometric measurement to develop a human-in-the-loop methodology for measuring latent constructs in large text corpora, and presents a framework for doing so. She then constructs a lexicon-based instrument to measure the extent to which 32,000 syllabi from college statistics and data science courses align with modern and traditional approaches in their pedagogy and content.

Dr. Klugman also has experience across government, industry, and academia, including work with the Behavioural Economics Team of the Australian Government, the National Center for the Improvement of Educational Assessment, ETS, the World Bank, a successful state lawsuit for education funding equity, and several years of teaching, mentoring, and course development.