
NSF Org: |
CNS Division Of Computer and Network Systems |
Recipient: |
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Initial Amendment Date: | May 15, 2023 |
Latest Amendment Date: | May 15, 2023 |
Award Number: | 2246007 |
Award Instrument: | Standard Grant |
Program Manager: |
Jeffrey Forbes
jforbes@nsf.gov (703)292-5301 CNS Division Of Computer and Network Systems CSE Directorate for Computer and Information Science and Engineering |
Start Date: | June 1, 2023 |
End Date: | May 31, 2027 (Estimated) |
Total Intended Award Amount: | $220,000.00 |
Total Awarded Amount to Date: | $220,000.00 |
Funds Obligated to Date: |
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History of Investigator: |
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Recipient Sponsored Research Office: |
1 HARPST ST ARCATA CA US 95521-8222 (707)826-4189 |
Sponsor Congressional District: |
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Primary Place of Performance: |
1 HARPST ST ARCATA CA US 95521-8222 |
Primary Place of
Performance Congressional District: |
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Unique Entity Identifier (UEI): |
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Parent UEI: |
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NSF Program(s): | IUSE |
Primary Program Source: |
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Program Reference Code(s): |
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Program Element Code(s): |
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Award Agency Code: | 4900 |
Fund Agency Code: | 4900 |
Assistance Listing Number(s): | 47.070 |
ABSTRACT
Due to the COVID pandemic, most U.S. Institutions of Higher Education (IHEs) transitioned in-person classes to online classes. Such a transition provides fertile ground for research into improving undergraduate STEM education in computing fields, specifically in broadening participation for underrepresented students and improving learning outcomes. There are ongoing challenges in attracting and retaining marginalized students to computing, specifically women from all races and ethnicities and Black and Hispanic males. This project intends to explore the impact of combining inclusive and equitable active learning approaches in computing courses in online synchronous learning environments (OSLEs) across multiple institutions with a Learning Assistant model. The proposed approach has the potential to improve student learning outcomes and retention rates in computing.
This project's primary goal is to explore the impact of integrating inclusive and equitable active learning approaches in computing OSLEs and sharing resources across multiple institutions on students' learning outcomes, engagement, and retention. The project team plans to use a mixed-methods experimental design to investigate four research questions focusing on conducting professional development, using active learning approaches on student learning outcomes and retention rates, sharing courses across institutions, and broadening participation in computing. This project will be conducted at six institutions, including two Hispanic Serving Institutions, two Historically Black Universities, and two small universities. This proposed project has the potential to significantly impact equity in computing in both academia and industry.
This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
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