Learning sciences, cognition, instructional design, learning technology, meta-analysis, concept mapping, and STEM learning.
Cognitive principles of instructional methods, instructional manipulatives, executive functioning and self-regulation.
Psychometrics and quantitative methodology, item response theory, cognitive diagnostic models, large-scale assessment, multilevel modeling, structural equation modeling, and missing data.
Learning, conceptual change, text-graphic processing, STEM learning, socio-scientific concepts, epistemic cognition.
Psychometrics, research methodology, structural equation modeling, measurement invariance.
Maximizing effective and proper use of educational and psychological measurements.
Program evaluation and research design, with a focus on student success and STEM education.
Social influences that impact students’ schooling and learning; mentoring, peer aggression/victimization and culturally responsive approaches.
Program evaluation, student assessment, measurement, and applied statistics. Dr. Trevisan is currently the Dean of the College of Education.