Glenda Stump, Ph.D.

Associate Director for Education Research
gsstump@mit.edu

Glenda Stump

Dr. Glenda Stump joined the Teaching and Learning Laboratory as an Associate Director for Assessment and Evaluation in January of 2012. Dr. Stump has experience as an educator and educational researcher in multiple disciplines. As a nursing educator in hospital and post-secondary contexts, she developed, implemented, and evaluated instructional materials for nursing students and hospital personnel. Dr. Stump taught multiple nursing courses in the College of Nursing and Healthcare Innovation and later served as a graduate teaching assistant and guest lecturer in the Mary Lou Fulton Teacher’s College at Arizona State University. 

Dr. Stump's research interests encompass both the science of learning and its measurement, including understanding how non-cognitive factors such as students’ attitudes and beliefs relate to their choice and utilization of learning strategies, their metacognitive behaviors, and ultimately their learning outcomes. Test, survey, and scale development, along with gathering evidence for valid interpretation of results are also interests.

Dr. Stump’s doctoral and post-doctoral research focused primarily on engineering and nursing education. This included work with teams that investigated motivational beliefs, learning strategies, and achievement in engineering students as well as non-science majors enrolled in STEM courses; informal collaborative learning behaviors of engineering students; calibration of self-efficacy among engineering students; and the relationship between active learning strategies and higher order thinking in materials science engineering students. Most recently, Dr. Stump assisted in the development of a concept inventory to measure students’ understanding of emergent processes after viewing computer simulations. Additionally, she developed an instrument to measure self-efficacy in nursing students; this work included a study of students’ ability to accurately calibrate their self-efficacy for task completion with their performance. Dr. Stump’s work utilizes both qualitative and quantitative methodology, and includes advanced statistical analysis using structural equation modeling, longitudinal growth modeling, and item response theory.

Dr. Stump completed her undergraduate work in nursing at the University of Pittsburgh, and her graduate work at Wayne State University. Dr. Stump completed her doctorate in Educational Psychology with a concentration in learning, along with a certificate in Educational Technology at Arizona State University.