Project Grant 2329273

Award Date 8/15/23
Completion Date 7/31/25
Dollars Obligated $197K
Federal Grant Program
47.070
Assistance Type
Project Grant
Place of Performance
West Lafayette, IN, USA
Similar Awards
This Project Grant award from the National Science Foundation (NSF) Division of Information and Intelligent Systems under the Computer and Information Science and Engineering program (CFDA 47.070) aims to enhance student learning and engagement in large lecture STEM courses. The $103,426 award to the University of Pittsburgh supports the development and optimization of a digital learning environment called CourseMirror that uses natural language processing (NLP) techniques to prompt and scaffold...
The National Science Foundation (NSF) awarded a $900,000 Project Grant under its STEM Education (CFDA 47.076) program to Northeastern University. The grant, awarded on November 1, 2024, supports the development of an "AI-Empowered Reflective Learning" tool that aims to deepen and accelerate learning through the use of AI-supported prompts and feedback across different interaction contexts, including digital learning environments, virtual reality simulations, and augmented reality...
This $900,000 Project Grant award from the National Science Foundation's STEM Education program (CFDA 47.076) will support the development and evaluation of an AI-based learning support system to provide personalized educational content for large-scale university courses in sustainability science. The key components of the project include: Designing and evaluating a system to interview students about their backgrounds and transform this data into a knowledge graph representation to inform...
This $399,988 federal Project Grant award from the National Science Foundation (NSF) under the STEM Education (CFDA 47.076) program aims to develop and test technology-based interventions to help introductory biology students improve self-regulation and learning. The project, led by the University of Colorado, will engage over 2,000 introductory biology students annually in reflective practices focused on motivation, metacognition, and self-regulation. The interventions will be integrated into a...
This $246,900 National Science Foundation project grant supports the development of reflection exercises and vignettes to promote professional dispositions among undergraduate computing students. Awarded under the Science, Technology, Engineering, and Mathematics Education program (CFDA 47.076), the grant involves faculty from four institutions collaborating over two years to design and study exercises asking students to explain how they have demonstrated behaviors like persistence and...
This National Science Foundation (NSF) STEM Education program (CFDA 47.076) Project Grant award of $796,858 to Purdue University, a public land-grant research university, will support the development of an innovative learner-in-the-loop multi-robot system called LILMR to transform conventional in-person field-based lab environments into hybrid-flexible (hyflex) field-based lab environments. This system aims to enable remote and residential students to collaboratively develop critical...
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 National Science Foundation project grant of $119,984 will support the development and study of reflection exercises and vignettes to promote the acquisition of professional dispositions among undergraduate computing students. Awarded under the NSF's STEM Education program (CFDA 47.076), the two-year project is led by the University of New Hampshire in partnership with three other institutions. The multi-institutional team will build on prior work to design reflection exercises and a...
This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program grant award (CFDA 47.070) of $224,669 to North Carolina State University supports the development and evaluation of novel AI-based methods for student modeling to trace students' competencies in computer science education. The project aims to tailor large language models (LLMs) to generate personalized learning scaffolds - such as feedback, worked examples, and suggested next problems - that...
This National Science Foundation (NSF) Project Grant awarded to North Carolina State University (NC State) under the STEM Education (CFDA 47.076) program will develop new technologies to improve student learning in machine learning (ML) education. The $226,873 award, effective October 1, 2023 through September 30, 2028, will create automated algorithms to generate personalized feedback, hints, and examples to support students in designing effective ML models, implementing them in code, and...

This National Science Foundation (NSF) Project Grant, awarded under the Computer and Information Science and Engineering program (CFDA 47.070), provides $196,500 to Purdue University to develop and optimize a digital learning environment called CourseMirror. The project aims to enhance student learning and engagement in large lecture STEM courses by using natural language processing (NLP) algorithms to prompt and scaffold students to create in-depth reflections on their learning experiences. The research will examine the impact of this reflection-informed learning and instruction (RILI) model on student motivation, emotions, and learning outcomes, as well as the effectiveness of NLP techniques in creating personalized learning experiences and evaluating reflection quality. The project will work directly with diverse students and instructors across public universities and community colleges to generate findings applicable to the broader college student population. This innovative approach integrates NLP, human-computer interaction, learning sciences, and STEM education to enable and support improved student engagement and learning.

Generated 4/16/24, 8:56 AM