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Jiang Li; Chen Zhu; Mark Goh – Research Evaluation, 2025
Data Envelopment Analysis (DEA) is a widely adopted non-parametric technique for evaluating R&D performance. However, traditional DEA models often struggle to provide reliable solutions in the presence of data uncertainty. To address this limitation, this study develops a novel robust super-efficiency DEA approach to evaluate R&D…
Descriptors: Foreign Countries, Research and Development, COVID-19, Pandemics
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Laura Holian; Benjamin P. Gold; Vicki Kirk; Catharine Warner-Griffin – Grantee Submission, 2025
The STEM.LD program was funded by a 2020 mid-phase Education Innovation and Research (EIR) grant. It sought to improve student outcomes by strengthening professional learning for teachers and school leaders, expanding STEM curricular resources, and increasing student engagement in rigorous coursework and extracurricular opportunities. A randomized…
Descriptors: Program Effectiveness, Outcomes of Education, Educational Research, Faculty Development