Program Offerings
The research and evaluation methodology (REM) program offers comprehensive degree paths ranging from an undergraduate specialization to a doctoral program. Our curriculum is designed for students eager to pursue careers that require knowledge of statistics, psychometrics, artificial intelligence and advanced measurement techniques.
On-Campus Ph.D.
Doctorate Program
This program is intended for students who have completed a master’s degree and want to pursue an advanced program of study in research and evaluation methodology.
On-Campus M.ED.
Master’s Program
This program is ideal for individuals interested in developing professional skills in research design and data analysis — with plenty of electives to match your unique career goals.
Online M.Ed.
Master’s Program
This fully remote program is designed for students with a strong interest in research design and analysis of educational data who want a flexible online program.
On-Campus M.A.E.
Master’s Program
This program provides the deep academic foundation in research and evaluation methodology needed to pursue a doctoral degree.
Online M.A.E.
Master’s Program
This program is ideal for professionals interested in developing skills to meet the demand for well-trained specialists in program evaluation.
Research Evaluation Methods
Graduate Minor
The graduate minor in research evaluation and methods is open to students across UF. Choose either a quantitative or qualitative focus to expand your methodological knowledge.
Research & Evaluation Methodology
Undergraduate Specialization
An undergraduate specialization within the education sciences bachelor’s program. Offered online or in person, it allows students to build a highly valued skill set by applying data analysis, research design, and evaluation techniques.
Why We’re Different
Students are involved in multidisciplinary grant-funded research projects.
Students gain experience with data from multiple areas of educational research.
Students choose personalized pathways from 10 areas of faculty expertise, including AI.
Program Highlights
Dr. Shin publishes paper using computational linguistic tools to understand pedagogical discourse in online video lectures in Algebra classes
Research Summary Despite the proliferation of video-based instruction and its benefits—such as promoting student autonomy and self-paced learning—the complexities of online teaching remain a challenge. To be effective, educators require extensive training in digital...
Research Results Shared at the Learning @ Scale Conference in Copenhagen
Dr. Walter Leite will present the latest research results of the Virtual Learning Lab at the Learning @ Scale Conference (L@S2023) in Copenhagen, July 20-22 How teachers influence student adoption and effectiveness of a recommendation system for Algebra Advanced...
Dr. Walter Leite Provides Tutorial on Sensitivity Analysis Methods
Dr. Walter Leite will provide a tutorial on sensitivity analysis methods for structural equation modeling at the Modern Modeling Methods Conference, June 26-28, University of Connecticut. A Tutorial on Methods for Sensitivity Analysis to Omitted Confounders in...