This $162,814 project grant from the National Science Foundation's STEM Education program (CFDA 47.076) supports the development of conceptual models to improve student learning outcomes in computer science theory courses at the University of Rochester from July 2022 through June 2025. The award aims to study the impact of teaching students to create their own conceptual models of theoretical computing concepts. Researchers will analyze qualitative and quantitative data from student surveys, assessments of student-generated models, exam performance, and instructor discussions to evaluate the quality of student models, the models' effect on concept understanding, and their impact on teaching. Educational materials and results will be shared online and at conferences to benefit the STEM education community. The goal is to enhance students' grasp of theoretical computing principles and skill in applying theory, better preparing them for complex computational problems in the workforce.
Mod # | Description | Reason For Modification | Federal Obligation (Click to sort descending) | Date (Click to sort ascending) |
|---|---|---|---|---|
| Not listed | $162.8k | 2/25/22 |