ITEST Projects

Biology Meets Engineering: Expanding Transdisciplinary STEM Education

2024 - 2029

The University of Cincinnati will scale a unique model for transdisciplinary learning inspired by cross-innovation in both biology and robotics. The project will expand the University of Cincinnati’s transdisciplinary innovation hub to student populations across three states (Ohio, Kentucky, and

CAREER: Teachers Learning to be Technology Accessibility Allies to Blind and Low-Vision Students in Science

2024 - 2029

To enter STEM career pathways, blind and low-vision students need equitable access to the learning that occurs in high school science classes. Teaching and learning in science classrooms are increasingly mediated by technology. Tragically, the use of technology has perpetuated inequities in science

Developing and Testing Innovations: Connecting Indigenous Culture and Integrated STEM in Hawaii Through Smart AgTech

2024 - 2028

Aquaculture is an important part of Native Hawaiian heritage and culture. Fishponds were essential for community food production and held special cultural significance. Land use was managed through a traditional approach called the Ahupua’a system. Each ahupua’a was self-sufficient for the community

A Semiconductor Curriculum and Learning Framework for High-Schoolers Using Artificial Intelligence, Game Modules, and Hands-on Experiences

2024 - 2028

Semiconductors are essential components of electronic devices, enabling advances in all important applications and systems such as communication, healthcare, and national security. In order to sustain the U.S.’s global competitiveness in the semiconductor industry, there is a growing demand for

Supporting Elementary Students’ Computer Science Skills and Interest through Engagement with Low-cost, Adaptable Robots

2024 - 2028

Reflecting increasing calls at the national and state-levels for computer science (CS) to be integrated into elementary school classrooms, this design and development project will develop low-cost, adaptable physical computing tools to provide equitable opportunities for elementary students to learn

Developing and Testing Innovations: Computer Science Through Engineering Design in New York

2024 - 2028

This Developing and Testing Innovations project aims to serve the national interest by broadening capacity and participation in secondary school Computer Science (CS) education across New York State. There is presently a severe shortage of CS teachers that will be exacerbated as more schools embrace

Fostering elementary students' computing career aspirations through a physiological computing curriculum

2024 - 2027

Every day, advanced applications of physiological computing such as wearable technologies (e.g., smartwatches) and brain-computer interfaces are reshaping our lives and pushing new scientific frontiers. Advancements in the human-technology frontier demand the readiness of next-generation scientists

Designing and Studying Collaborative Coding Experiences for Middle School Computer Science Education

2024 - 2027

Through a strategic partnership between Northwestern University and Evanston-Skokie District 65, this design and development project will investigate new approaches to student collaboration and problem-solving in computer science (CS) classrooms. A focus on creating collaborative coding experiences

MyTurn: An Afterschool Social Robotics Program to Promote Interest in Computing Among Middle School Students

2024 - 2027

Computational thinking and robotics are increasingly essential to many scientific and technological careers of the future, yet youth often do not have opportunities to practice broad and diverse applications of computing beyond basic programming. This project will address this issue through

Exploring Theory and Design Principles (ETD): Auditing Machine Learning Applications for Algorithmic Justice with Computer Science High School Students and Teachers

2024 - 2027

There is an urgent need to develop and implement learning programs that can help teachers to prepare students to effectively interact with and critically evaluate machine learning applications. This project will work with a group of high school teachers across rural, suburban, and urban US

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