This National Science Foundation (NSF) Technology, Innovation, and Partnerships (CFDA 47.084) Project Grant award of $305,000 to Nd-Diagenomix, Inc. (doing business as Adapta Education, Inc.) will develop a web-based formative assessment system to improve math learning and address teacher burnout in high schools. The system will leverage cognitive diagnostic modeling and machine learning algorithms to provide highly efficient, personalized, and customizable assessments that identify students'...
This $256,800 Project Grant awarded by the National Science Foundation (NSF) under the Technology, Innovation, and Partnerships (TIP) program (CFDA 47.084) is funding the development of a holistic system for comprehensive student assessment. The goal is to leverage AI and natural language processing (NLP) tools to analyze diverse student learning data, including essays, written assignments, and reflections, to provide educators with real-time, detailed insights on student progress. This will...
This National Science Foundation (NSF) Technology, Innovation, and Partnerships (CFDA 47.084) Project Grant award of $275,000 will support the development of an AI-enhanced platform to empower K-12 teachers with high-quality and inclusive math instruction. The project aims to tackle challenges in K-12 math education by integrating new AI models to assist teachers in generating personalized lesson materials, providing formative assessment, auto-scoring, and generating diagnostic reports...
This $499,867 National Science Foundation Project Grant awarded on October 1, 2023 under the STEM Education (CFDA 47.076) program will support the creation of sophisticated assessments and data collection efforts to enhance STEM instruction and research across K-16 education. The project, led by Iowa State University, will establish eight working groups to address critical topics for ethical, large-scale data collection and diverse research collaborations. This will enable the expansion of...
This National Science Foundation (NSF) Technology, Innovation, and Partnerships (CFDA 47.084) Project Grant award provides $274,428 to Skillsgapp LLC to develop a place-based platform for STEM career discovery. The platform utilizes an AI-powered gaming approach to educate and guide youth, particularly from underrepresented populations, towards local, meaningful career paths in advanced manufacturing and other STEM fields. The innovation combines large language models, retrieval-augmented...
This $900,000 Project Grant awarded by the National Science Foundation (NSF) under the STEM Education (CFDA 47.076) program supports the development and evaluation of an AI-based learning support system that will automatically customize course content to match the learning needs and interests of individual students in large university settings. The goal is to improve student learning and address equity in higher education by providing personalized educational materials at scale. The core...
The National Science Foundation (NSF) awarded a $383,172 Project Grant under the STEM Education (CFDA 47.076) program to the University of South Florida to develop and evaluate the use of adaptive learning platforms (ALPs) in five undergraduate engineering courses. The project aims to compare student cognitive and affective outcomes between courses using ALP-delivered adaptive pre-class lessons versus one-size-fits-all pre-class activities delivered through the learning management system...
The National Science Foundation (NSF) awarded a $999,800 Cooperative Agreement under its Technology, Innovation, and Partnerships program (CFDA 47.084) to Smart Girls HQ LLC, a woman-owned small business, to develop a digital platform that engages elementary-aged girls in STEM (science, technology, engineering, and math) through personalized informal learning. The key objectives of this two-year project from October 2023 to September 2025 are to: 1) refine an algorithmic model to generate...
The National Science Foundation (NSF) awarded a $748,680 Project Grant under the STEM Education program (CFDA 47.076) to the Colorado School of Mines. The goal of this 3-year project is to develop an AI-driven software platform that will provide students with personalized virtual teaching assistant (VTA) support in large STEM classrooms. The system will integrate educators' materials and rules to guide large language models in producing tailored responses aligned with course content and...
This Project Grant award, valued at $201,326, was provided by the National Science Foundation's STEM Education (CFDA 47.076) program. The primary goals of the project are to increase opportunities for success for STEM students at Hispanic-Serving Institutions (HSIs) by transforming STEM gateway courses through the use of generative AI and learning analytics.
Key products and services to be delivered include:
Developing assessments using AI-generated problem banks to provide flexible testing...