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LEAD 185
Register Today
Register Today
LEAD 185 will run Monday, 4/21 to 5/19 (Course Now Filled) and has no prerequisite requirements. Register by 4/15 while space lasts. Please note that not all LEAD courses are offered every semester.
About
About
This page overviews our faculty development course. If you are seeking general resources, visit our AI for Teaching & Learning page.
What participants are saying about this course
What participants are saying about this course
"This course gave me new confidence with using AI in an educational setting."
"Beneficial, well-structured, and full of important information. I recommend it to every faculty."
This course allowed me to investigate generative AI on a level I had not even imagined. Participating in an interdisciplinary cohort also offered such rich variety to assignments and pedagogical concerns. The respect paid to ethical practices also helped me to acknowledge my concerns and my interests."
Course description
Course description
This innovative course is designed to provide educators with a comprehensive understanding of artificial intelligence (AI) and its applications in teaching and learning. Participants will explore AI-based tools, including intelligent tutoring systems, adaptive learning platforms, and AI-driven analytics that can enhance the educational experience for both students and faculty. Through hands-on activities and guided reflections, participants will learn to integrate AI technologies into their teaching strategies while considering their potential benefits and challenges. The culminating project will involve the development and evaluation of an AI-enhanced learning module [or the equivalent] within the participants' respective disciplines, as well as a draft conference proposal to promote the sharing of knowledge and best practices in AI for teaching and learning. This course description and objectives were entirely created using ChatGPT 4.0 and prior courses as a framework for style and our approach.
Prerequisites: N/A.
Scope / Length: LEAD offerings are short-course experiences (@ 15 hours, generally over 4 weeks) that involve a mentored, guided cohort (i.e. they are not self-paced), and they are facilitated by faculty development educators.
View current offerings and register today.
Learning objectives
Learning objectives
By the end of this course, participants will be able to:
By the end of this course, participants will be able to:
Understand the fundamentals of artificial intelligence and its applications in teaching and learning.
Explore AI-based tools and platforms that support personalized learning and data-driven decision-making.
Evaluate the potential benefits and challenges of integrating AI technologies into teaching practices.
Design an AI-enhanced learning module within their discipline that aligns with their educational beliefs and goals.
Develop a draft conference proposal to share their work and contribute to the advancement of AI in education.
Course background
Course background
Instructor History: Reed Dickson, Josie Milliken, and Kimlisa Duchicela.
Design History: V1.0 Completed by Reed Dickson and Josie Milliken in July, 2023
Offering History: Summer 2023, Fall 2023, Spring 2024, Fall 2024, Spring 2025
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