Due Date: 10/07/21
Funder: National Science Foundation
The National Science Foundation’s (NSF’s) Directorate for Education and Human Resources (EHR) wishes to notify the community of its intention to support, through the EHR Core Research (ECR) program solicitation NSF 19-508, methodological research and synthesis projects that help grow the community’s collective capacity to conduct rigorous research and evaluation on science, technology, engineering and mathematics (STEM) learning and learning environments, workforce development, and broadening participation.
ECR invites proposals on the development, application, and extension of formal models and methodologies for STEM learning research, research synthesis (including meta-analysis and meta-synthesis), and evaluation. Submissions might propose: fundamental research to develop and test new methodologies that support valid inferences in STEM learning; research on methods for improving statistical modeling, qualitative modeling, measurement, replication, and learning analytics; or research on methodological aspects of new or existing procedures for data collection, curation, and inference in STEM learning.
Proposers must demonstrate how advances in the methodology will support important theoretical insights in STEM learning and education research, knowledge synthesis and diffusion, or evaluation. Examples of areas for research include, but are not limited to:
- Computational methodologies include advances in Bayesian or computational modeling of STEM education data, computational methodologies for the analysis of video data, machine learning and learning analytics, as well as scientometrics and citation analysis;
- Qualitative methodologies include advances in qualitative research design, the study of validity, meta-synthesis, and the study of linguistic analysis applied to STEM education; and
- Quantitative methodologies include advances in experimental design in field settings, the study of validity (internal, external and measurement validities), the measurement and study of growth, mediation and moderation of treatment effects, meta-analysis, network analysis, and the replication of research results.
The deadline for the upcoming submission period for NSF 19-508 is the October 1, 2020.
