UF REM Faculty Research Areas
The research evaluation and methods faculty at the University of Florida are internationally recognized research leaders whose work consistently shapes the future of their disciplines, setting the agenda for scholarly conversations worldwide. Their scholarship, published in highly regarded peer-reviewed journals and supported by significant national grants, demonstrates their commitment to tackling complex real-world problems. They are leaders in the field of evaluation methodology in research, developing and refining sophisticated tools that allow for more accurate and nuanced analysis of complex data. Together, they advance the foundational theoretical frameworks that help researchers and practitioners make sense of intricate social and behavioral phenomena.
Artificial Intelligence (AI) in Education
Artificial Intelligence (AI) in education involves using computer-based systems to perform complex tasks like test creation, scoring, and personalized tutoring. Our faculty explore how these cutting-edge tools can enhance research methodology , provide adaptive student assessment and evidence of program effectiveness, student scaffolding and more.
Causal Inference
Causal inference research identifies the relative contribution of possible causes of changes in student outcomes, like practice or program participation, on educational outcomes. Our faculty conduct this research to rule out alternative explanations and identify the relative contributions of multiple variables.
Computational Psychometrics
Computational psychometrics combines traditional statistical models with machine learning and AI to innovate how we test and assess students. Our faculty apply these advanced methods to improve the development, validation and scoring of modern educational assessments.
Experimental & Quasi-experimental Design
Experimental designs use random assignment for treatment conditions, including multisite, cluster and SMART trials. Quasi-experimental designs utilize statistics to remove selection bias and demonstrate baseline equivalence without random assignment. Our faculty are experts at implementing these complex frameworks for educational research.
Fairness in Measurement
Fair measurement is critical for producing trustworthy quantitative research; if a test is biased, the research is flawed. Our faculty specialize in developing and analyzing measurement tools to ensure all educational assessments uphold the highest standards of rigor.
Measurement Validity
Measurement validity ensures that there is strong evidence supporting the intended uses of a test. Our faculty possess deep expertise in creating and validating assessment tools, guaranteeing that data used in large-scale testing and quantitative research is reliable.
Program Evaluation
Program evaluation involves the systematic collection and analysis of data to assess the effectiveness and efficiency of educational programs or policies. Our faculty lead the field in designing real-world evaluations, creating specialized assessments and turning complex data into actionable reports.
Psychometrics
Psychometrics is the complex statistical science of measuring psychological and educational variables. Our faculty offer deep expertise in this vital field, ranging from classical test theory and item response theory to cutting-edge natural language processing and computational methods.
Qualitative Methodology
Qualitative methodology explores the nuanced, multi-layered nature of human experiences and educational discourse. Our faculty utilize many approaches, from structured interviews and focus groups to community observations, to generate deep, context-rich insights into educational environments.
Statistical Modeling
Statistical modeling uses established theory to hypothesize and test complex relationships between multiple variables. Our faculty apply advanced techniques to investigate mediation, moderation and confounding factors, using data to uncover the hidden dynamics within educational systems.