2026 Funded Curricular Innovation Projects

The following curricular innovation projects proposed by faculty were selected for funding in 2026. Learn more about curricular innovation grants and review the 2023 funded projects.

Funded curricular innovation projects
Faculty College Department / School Course(s) Innovation Type Brief Description
Melissa Clucas Walter Health and Human Sciences (CHHS) Clinical and Developmental Sciences HDFS 230 - Child Development AI-Powered Simulation Development of a semester-long AI-powered child development simulation tool to increase motivation and promote higher-order thinking and analysis skills.
Catherine Ivack Education (CEDU) Special and Early Education SESE 457/557 - Methods for Including Middle and Secondary Students with Exceptionalities in the General Education Classroom AI Literacy Course redesign to build professional AI literacy skills for pre-service teachers, including curriculum planning and development of instructional materials.
Eric John Business (CBUS) Finance FINA 315 - Personal Investing and Finance AI Literacy Course redesign to develop AI literacy skills for financial literacy, including personal finance analysis, decision support, and critical evaluation.
Nicole LaDue Liberal Arts and Sciences (CLAS) Earth, Atmosphere and Environment EAE 120 - Planet Earth AI Literacy Course redesign to incorporate AI literacy in a high-enrollment general education course with an emphasis on scientific reasoning and communication.
Iman Salehinia Engineering and Engineering Technology (CEET) Mechanical Engineering MEE 331 - Manufacturing Process Custom Course GPT Development of a custom course GPT to serve as a guided learning and self-assessment tool through Socratic coaching, self-assessment, and industry-focused guidance.
Jiao (Aimee) Wu Business (CBUS) Operations Management and Information Systems OMIS 460/660 - Business Data Networks and Cybersecurity Course Redesign Course redesign to integrate AI cybersecurity concepts into the existing course structure through redesigned assignments, case-based learning, and scenario-driven activities.
Lei Zhang Liberal Arts and Sciences (CLAS) Computer Science CSCI 340 - Data Structures and Algorithm Analysis AI-Powered Adaptive Learning Design and development of a web-based adaptive learning and assessment system, built on large language model inference, targeting each student's specific knowledge gaps to individualize their learning pathways.
Yao Zheng Business (CBUS) Finance UBUS 110 - Business in Action AI Literacy Course redesign to infuse AI literacy skills in a high-enrollment gateway course that shapes how students think, communicate, and perform as future business professionals.
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