Learning sciences, cognition, instructional design, learning technology, meta-analysis, concept mapping, and STEM learning.
Development of statistical techniques that address issues and standards of fairness and equity in assessment data
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.
Classroom assessment, assessment literacy, teacher education, communication of assessment results/score reporting, test validity.
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.