Profile

Dr. Kathleen Scalise employs data science at the intersection with measurement and assessment for applied and theoretical research, including for learning in digital social networks and science/engineering education, as well as for network analyses of leadership and collaboration. She has extensive research in the areas of learning, e-learning, large-scale assessment, and instructional technology in the context of STEM education (science, technology, engineering, and mathematics) and also in emergent language, second language acquisition, digital literacy, social collaboration, leadership, and 21st century skills. In addition to data analytics, she is interested in new models for dynamic delivery of differentiated content to support the needs of all learners, innovative item types, and equity, opportunity and access in education.