This presentation highlights custom-built artificial intelligence (AI) tools designed to meet the unique needs of faculty teaching in colleges and schools of agriculture. Its objective is to demonstrate how this tailored tool enhances teaching by streamlining routine tasks and supporting innovative pedagogy.

Agricultural faculty often juggle research, advising, grading, and administrative duties, leaving limited time for curriculum development. Custom AI tools, implemented within existing coursework, integrate agriculture-specific content and standards, enabling faculty to efficiently create lessons, grade assignments, and provide personalized feedback. For example, it assists in lesson planning for topics like integrated pest management by recommending case studies, hands-on activities, and aligning materials with institutional objectives.

Feedback from faculty using the tool revealed significant time savings and improvements in instructional quality. Faculty reported that it simplified complex tasks like drafting recommendation letters and managing coursework while fostering creativity in teaching strategies. Faculty also indicated better alignment of materials with university initiatives and enhanced student engagement.

Reflections from users confirm the tool’s ability to reduce administrative burdens and free up time for faculty to focus on impactful teaching and mentorship. By automating routine processes and offering tailored support, this AI solution enables educators to prioritize student interaction and pedagogical innovation.

This presentation provides a concise overview of the tool’s implementation and results, illustrating multiple ways in which faculty within colleges and schools of agriculture might utilize AI to become more efficient in teaching. Attendees will gain insights into how custom AI tools can address specific instructional challenges, improve efficiency, and enhance the teaching experience.