NSF Grant to Boost AI Education for Undergraduates at Two Universities

NSF Grant to Enhance AI Education for Undergraduates

A new initiative funded by the National Science Foundation (NSF) aims to equip undergraduate engineering and technology students with essential artificial intelligence (AI) skills. The project, led by Professor Aditya Johri, has secured $430,000 to enhance AI proficiency among students at Youngstown State University and George Mason University.

Titled "Developing Artificial Intelligence Literacy Among Undergraduate Engineering and Technology Students Through Case-Based Instruction," the initiative will run from October 2025 to late September 2028. It focuses on familiar AI applications, including career readiness, sustainability on campus, self-driving vehicles, and mental health systems.

Case-Based Learning Approach

The project will develop and implement six case studies using a Situated AI Literacy framework. These studies will be integrated into first-year engineering and computing courses at the two universities. By leveraging real-world scenarios, the initiative aims to foster a deeper understanding of AI's practical applications and ethical considerations.

"This approach allows students to engage with AI in a meaningful way," said Professor Johri. "By exploring case studies, they can see how AI impacts various aspects of society and industry."

Project Scope and Impact

Over 500 students are expected to participate during the project period. The initiative also includes faculty development workshops, extending its reach to 10 additional institutions. The goal is to foster critical thinking about AI's benefits and drawbacks, preparing students to navigate the complexities of intelligent systems in their future careers.

The project will use mixed-methods evaluation to assess student learning gains. This comprehensive approach ensures that the initiative not only provides technical knowledge but also cultivates a nuanced understanding of AI's broader implications.

Research Goals and Methods

The research component of the project will explore how case studies promote a comprehensive grasp of AI. It will focus on understanding diverse stakeholder viewpoints, ensuring that the curriculum is both inclusive and effective. By incorporating feedback from students, faculty, and industry experts, the project aims to refine its educational strategies over time.

NSF Support for STEM Education

The NSF's IUSE: EDU Program supports projects that improve STEM education effectiveness. This initiative aligns with the program's goals by enhancing undergraduate education and preparing future professionals to develop and use AI effectively. It also seeks to help students understand the complexities of intelligent systems, ensuring they are well-equipped to contribute to the field.

George Mason University's Role

George Mason University, Virginia’s largest public research university, enrolls over 40,000 students. Known for its innovation, diversity, and accessibility, the university is a key partner in this initiative. Its participation ensures that the project benefits from a broad and inclusive educational environment.

"George Mason University is committed to advancing AI education," said a university spokesperson. "This NSF grant allows us to expand our efforts and prepare students for the challenges and opportunities of the AI-driven future."