This $467,771 Project Grant award from the National Science Foundation's STEM Education program (CFDA 47.076) aims to improve the effectiveness of undergraduate computing theory education. The primary goals are to enhance a prototype automated feedback tool, called AFCT, that aids students in learning concepts of formal languages and automata theory. The upgraded AFCT tool will be deployed and assessed at five collaborating institutions to understand its impacts on student behavior, performance,...
The National Science Foundation (NSF) awarded a $280,000 Project Grant through its STEM Education (CFDA 47.076) program to develop and evaluate a Comprehensive Personalized Programming Practice Environment (C-3PE) that utilizes artificial intelligence (AI) to enhance computer science education. The collaborative project, led by Carnegie Mellon University in partnership with the University of Pittsburgh, University of Massachusetts, and North Carolina State University, aims to provide...
This $149,971 project grant, awarded by the National Science Foundation (NSF) under the STEM Education program (CFDA 47.076), will support the development and evaluation of a Comprehensive Personalized Programming Practice Environment (C-3PE) that utilizes artificial intelligence (AI) to enhance computer science education. The primary awardee, the University of Massachusetts (UMass), will collaborate with Carnegie-Mellon University, University of Massachusetts, and North Carolina State...
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,...
This $249,960 Project Grant awarded by the National Science Foundation's STEM Education program (CFDA 47.076) will support the development and evaluation of a Comprehensive Personalized Programming Practice Environment (C-3PE) that utilizes artificial intelligence (AI) to enhance computer science education. The project, led by North Carolina State University in collaboration with the University of Pittsburgh, Carnegie Mellon University, and the University of Massachusetts, aims to provide...
The National Science Foundation (NSF) awarded a $250,000 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to a collaborative team from the University of Chicago, University of Illinois, and Utah University. The purpose of this 4-year project is to transform online computer science theory education by developing interactive online exercises that provide more equitable and inclusive learning experiences. The key products to be delivered include:...
The National Science Foundation awarded Michigan Technological University a $616,008 Project Grant under the federal STEM Education program (CFDA 47.076) to develop an automated coding feedback system called WEBTA. The system aims to provide rich, immediate feedback to students in introductory programming courses on common errors or "antipatterns" to significantly improve learning outcomes and coding skills. With rapidly increasing class sizes and instructor shortages, manually...
This $247,739 federal Project Grant award from the National Science Foundation's STEM Education program (CFDA 47.076) supports the development and evaluation of a Comprehensive Personalized Programming Practice Environment (C-3PE) that utilizes artificial intelligence to enhance computer science education. The project, led by the University of Pittsburgh in collaboration with Carnegie-Mellon University, University of Massachusetts, and North Carolina State University, aims to provide...
This $136,123 National Science Foundation project grant aims to improve student learning outcomes in computer science theory courses through the use of conceptual models. Funded under the federal STEM Education program (CFDA 47.076), the grant supports research at Rochester Institute of Technology to study the impact of teaching students how to create their own conceptual models of theoretical computing concepts. The project team will analyze qualitative and quantitative data from student...
This Project Grant from the National Science Foundation's STEM Education program (CFDA 47.076) totaling $149,146 supports research at Smith College to improve computer science education outcomes. The project aims to develop and test a two-stage exam process for introductory computer programming courses. The first stage utilizes an improved multiple-choice exam requiring students to justify answers to identify knowledge gaps. Students with significant gaps proceed to a follow-up interview....