This Project Grant award from the National Science Foundation (NSF) under the STEM Education program (CFDA 47.076) aims to improve undergraduate computing theory education by developing and deploying an automated feedback tool for students. The $115,380 award to The Pennsylvania State University will fund the enhancement of an existing prototype tool, the Automated Feedback for Computing Theory (AFCT), which provides immediate feedback to students on their computational models. The project...
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 $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...
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:...
This $400,000 Project Grant award from the National Science Foundation (NSF) STEM Education program (CFDA 47.076) to the University of California, San Diego (UCSD) aims to redesign an introductory computer science (CS1) course to teach programming with the aid of large language model (LLM) AI assistants. The key goals are to: 1) Redesign the CS1 course to emphasize skills like code reading, testing, and problem decomposition rather than just syntax and writing code from scratch; 2) Study how...
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 $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...
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....
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 $400,000 Project Grant award from the National Science Foundation (NSF) STEM Education (CFDA 47.076) program supports the development of automated methods to reward students for following a good programming process when writing computer programs. The project at the Regents of the University of California at Riverside aims to create Python scripts that can automatically award points to students based on their demonstrated behaviors, such as starting early, spending sufficient time, writing...