Jessaca Spybrook

Organization/Institution
About Me (Bio)
Jessaca Spybrook is a professor in the Evaluation, Measurement, and Research Program at Western Michigan University. Her research focuses on improving the quality of the designs of group randomized trials in education. She co-authored the software and documentation for Optimal Design Plus, a program that assists research in planning adequately powered trials. Her work has been supported by federal agencies, such as IES and NSF, and by foundations, including the William T. Grant Foundation. In 2010, she was awarded a National Academy of Education/Spencer Postdoctoral Fellowship. Spybrook earned her master’s in Applied Statistics and PhD in Education from the University of Michigan. Prior to attending graduate school, she was a seventh-grade mathematics teacher.
Citations of DRK-12 or Related Work (DRK-12 work is denoted by *)
  • Kelcey, B., Spybrook, J., Dong, N., & Bai, F. (in press). Experimental Power for Cross-Level Mediation in School-Randomized Studies of Teacher Development. Journal of Research on Educational Effectiveness.*
  • Kelcey, B., Cox, K., & Dong, N. (in press). Croon’s Bias-Corrected Factor Score Path Analysis for Multilevel Structural Equation Models. Organizational Research Methods.*
  • Kelcey, B., Spybrook, J., & Dong, N. (2019). Sample Size Planning in Cluster-randomized Studies of Multilevel Mediation. Prevention Science, 20, 407-418.*
  • Kelcey, B., Hill, H., & Chin, M. (2019). Teacher Mathematical Knowledge, Instructional Quality, and Student Outcomes: A Multilevel Mediation Analysis. School Effectiveness & School Improvement.*
SRI International
07/01/2023

This project will investigate the potential of a novel approach to mathematics intervention that leverages the affordances of technology and evidence-based pedagogy to improve mathematics learning for middle school students. The mathematics intervention entitled EMPIRES is a collaborative activity set in Ancient Mesopotamia that offers a multifaceted approach in which (1) rich, narrative math problems increase conceptual comprehension; (2) animated representations of mathematics concepts support mathematical understanding; (3) multiplayer collaboration leads to peer instruction and modeling; (4) simulations offer exciting challenges that increase mathematics resiliency; and (5) a bridge curriculum aids transfer of learning to multiple contexts, including traditional standardized tests.

Massachusetts Institute of Technology (MIT)
10/01/2023

Teachers are extraordinarily important to student learning, but researchers have surprisingly little data about what teachers do moment-to-moment with students. What are the instructional moves and improvisational responses that characterize highly effective practice? To better understand and support U.S. K-12 STEM teachers, this Incubator project will develop a network of "tutor observatories." Tutor observatories are learning environments that record teacher engagements with students along with information about the context of the interaction. From these data, researchers will be able to gain a deeper understanding of STEM teacher practice, identify highly effective practices, and develop training data that can inform a new generation of artificially intelligent tools to support teachers and student learning.

University of Virginia (UVA)
12/01/2024

STEM learning is a function of both student level and classroom level characteristics. Though research efforts often focus on the impacts of classrooms level features, much of the variation in student outcomes is at the student level. Hence it is critical to consider individual students and how their developmental systems (e.g., emotion, cognition, relational, attention, language) interact to influence learning in classroom settings. This is particularly important in developing effective models for personalized learning. To date, efforts to individualize curricula, differentiate instruction, or leverage formative assessment lack an evidence base to support innovation and impact. Tools are needed to describe individual-level learning processes and contexts that support them. The proposed network will incubate and pilot a laboratory classroom to produce real-time metrics on behavioral, neurological, physiological, cognitive, and physical data at individual student and teacher levels, reflecting the diverse dynamics of classroom experiences that co-regulate learning for all students.

Western Michigan University (WMU)
06/15/2020

This study seeks to further understanding of the STEM learning environment by 1) examining the extent to which mathematics and science achievement varies across students, teachers, schools, and districts, and 2) examining the extent to which student, teacher, school, and district characteristics that are found in state administrative databases can be used to explain this variation at each level. This work will support advances in research and evaluation methodologies that will enable researchers to design more rigorous and comprehensive evaluations of STEM interventions and improve the accuracy of statistical power calculations.

06/06/2018

We're happy to welcome these guests who will be presenting at the 2018 DRK-12 PI Meeting: View Bios.

New York University (NYU)
09/01/2020

To help address the need for science classrooms that support language learning for all students, this project will rigorously study the Science and Integrated Language (SAIL) curriculum, a year-long fifth-grade curriculum aligned to current science curriculum standards with a focus on English learners.

University of Michigan (UM)
02/15/2024

The Inter-university Consortium for Political and Social Research (ICPSR) will host a workshop that brings together NSF-funded teams working on midscale research infrastructure incubator projects for STEM education research with a focus on education equity. ICPSR will share information, resources, and support incubator teams in developing and managing mid-scale infrastructure projects. These incubator projects have identified research infrastructure gaps related to assessments, teacher practices, and digital tools to support student learning and have proposed pilot tools, cyberinfrastructure, large-scale datasets, etc., for filling these gaps. To scale these pilots, the teams will need to successfully develop proposals to create mid-scale research infrastructure (Midscale RI). However, Midscale RI proposals require specialized knowledge that is not common within the STEM education research community and thus may limit the community’s ability to develop competitive Midscale RI proposals.

TERC, Inc.
07/01/2024

Effective “early” algebra interventions in elementary grades that can develop all students’ algebra readiness for later grades are needed. This study will use an experimental design to test the effectiveness of a Grades K–2 early algebra intervention when implemented in diverse classroom settings by elementary teachers. The broader impact of the study will be to deepen the role of algebra in elementary grades, provide much-needed curricular support for elementary teachers, and strengthen college and career readiness standards and practices.