Institute Goals

To support the development and implementation of ambitious AI action plans that respond to the challenges and opportunities of AI in teaching and learning, teams will work to

• articulate a clear, compelling, and communicable purpose for their AI-informed pedagogical or curricular initiative, including goals, anticipated learning gains, student success measures, and benefits for faculty, students, and the institution;
• create and implement a comprehensive AI action plan with measurable benchmarks for gauging progress and impact;
• stay informed about emerging AI models, tools, policies, and expectations within the world of work;
• develop evidence-based theory-to-practice models that connect research and effective approaches to course, curriculum, and pedagogical design;
• explore and adopt new approaches to assignments, feedback, grading, and academic integrity;
• identify strategies for successful pedagogical and curricular/cocurricular change that reflect deep understanding of AI and account for shifting student demographics, transfer pathways, and inclusive standards for success;
• articulate thoughtful policies and practices that address ethical concerns and promote equitable outcomes; and
• utilize evidence-based innovation and leadership strategies to increase the likelihood of successfully implementing AI reforms.