Aditya Johri, Professor, Information Sciences and Technology; Dr. Lawrence Cranberg Endowed Research Fellow, College of Engineering and Computing (CEC), received funding for the project: “Developing Artificial Intelligence Literacy Among Undergraduate Engineering and Technology Students Through Case-Based Instruction.”
This project aims to serve the national interest by improving undergraduate education to better prepare future engineering and computing professionals to use and develop artificial intelligence (AI).
The project's significance lies in its innovative use of situated case studies to help students understand AI complexity, differing stakeholder requirements, and to develop critical reasoning about AI applications. Through early exposure in first-year courses, the project aims to develop transferable mindsets and skills that students can apply throughout their careers, advancing their understanding of how to prepare a workforce capable of AI innovation and supporting the nation’s economic well-being.
The project’s goals include developing and implementing six case studies that focus on familiar AI applications such as career preparedness, campus sustainability, autonomous vehicles, and mental health systems using a Situated AI Literacy framework. The scope encompasses implementation across first-year engineering and computing courses at Youngstown State University and George Mason University, serving over 500 students during the project period, with additional dissemination through faculty development workshops reaching 10 external institutions.
The methodology employs role-play case study discussions integrating three key competencies- complex systems cognition, perspectival understanding, and critical thinking.
The project plans to use mixed-methods evaluation, including pre- and post-surveys, concept maps, discussion transcripts, and focus groups to assess student learning gains across these elements.
The research investigates how the case studies support the development of multi-level AI understanding, stakeholder perspective-taking, and critical assessment of AI benefits and limitations. The NSF IUSE: EDU Program supports research and development projects to improve the effectiveness of STEM education for all students. Through the Engaged Student Learning track, the program supports the creation, exploration, and implementation of promising practices and tools.
Johri received $430,000 from the National Science Foundation for this project. Funding began in Oct. 2025 and will end in late Sept. 2028.
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