What is Teaching with AI @ Auburn?
Artificial intelligence tools such as ChatGPT, Gemini, Claude, Copilot and many others are forcing educators to rethink assignments, activities, courses, and questions. Some find this thrilling, others fear for the future of higher ed, their jobs, and their students' learning.
Wherever you fall on the spectrum, we all stand to benefit from learning more about these technology tools and thinking deeply and collectively about what they might mean for the courses we teach, the students we serve, and the world we are helping to shape.
The Auburn University Biggio Center for the Enhancement of Teaching and Learning introduces a world-class, online, self-paced course: "Teaching with AI" especially designed for higher education faculty, graduates, and professional staff.
As featured in The Chronicle of Higher Education and Inside Higher Ed, this course is interactive (not just a bunch of videos!) and thought-provoking. This course was also awarded the 2024 Outstanding Program: Noncredit Award by UCPEA, the online and professional education association, in recognition of its high quality.
How to Access the Course
Sign up for the free course and access in Canvas
Sign up today and gain access for one year.
Reach out today to begin the licensing process.
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The impact of the AI disruption of higher education continues to evolve and we are updating content as we learn more. This course represents a curated repository of inputs from a range of sources, disciplines, and stakeholders. The experiences, examples, and emphasis of the course is on faculty and students, and it is being created in collaboration with both. We do not position ourselves as experts on these matters, rather the course weaves expertise from a diverse range of faculty in order to provide a meaningful learning experience to a diverse range of learners. There are many interactive opportunities throughout the course to share your expertise and ideas. Our primary goal is to support you in thinking through the urgent questions that the AI disruption of higher education presents and to create opportunities for you to learn from and with others so that you are confident in supporting your students as we redesign our courses and navigate this shifting landscape together.
Course Goals-
Explore AI and its implications for teaching and learning in higher education—especially those relating to academic integrity
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Critically reflect on your own theory of change as it relates to student learning and the implications of generative AI on your beliefs about course design
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Evaluate examples (good and bad) of courses and course elements redesigned for AI
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Experiment with AI tools, redesign assignments, and get feedback
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Access a (growing and evolving) repository of research on teaching with AI
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Exchange ideas on topics related to AI in the college classroom and higher ed writ large with others in the course
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Engage your own department colleagues in the conversation to ensure students in your program have a consistent, comparable learning experience no matter who is leading the class
This self-paced, asynchronous online course has an estimated total duration of approximately 5-7 hours. The modules are designed to be completed in the order presented to prepare you for subsequent content. However, you are welcome to navigate between modules as needed, ensuring a flexible learning experience.
Course Content
Module 1: What do I need to know about AI?
Provides an overview of key terms, a current and growing list of the AI tools available, and a high-level overview of the current conversation around AI tools in higher education.
Module 2: What do I need to rethink in terms of the Exams, Papers, or Projects I assign?
Explore meaningful strategies to mitigate, support, or elevate students' use of AI tools in activities, assignments, and assessments, and reflect on your short-term and long-term goals related to teaching in the wake of the AI disruption.
Module 3: How are students using AI tools and how can I partner with my students?
Engage with ideas, feedback, and data gathered from students about how they are using AI tools in their classes, how they are thinking about the ethical implications and their own learning, and what they hope faculty know and consider as they redesign courses, as well as how we can support students through collaboration and partnership.
Module 4: What are the ethical considerations of AI in our higher ed context and beyond?
Considers the ethical implications of using AI tools from the student, faculty, and institutional perspective. How will these tools impact academic integrity and the accreditation process for individual programs? What policies are different institutions implementing? What are the conversations about the ethical use of AI beyond higher ed?
Module 5: How do I (Re)Design Courses in the wake of the AI disruption?
Create a redesign plan that integrates what you have learned about AI tools and how you plan to implement them in your courses on a scale and timeline that fits with your professional role and responsibilities. This module includes sample syllabus statements that articulate AI policies that faculty can use or build from.
Throughout this course, you will notice several icons. These signal different ways of interacting with the content and provide opportunities to reflect on or experience what you are exploring in each module. Four additional icons used throughout the course indicate the lens through which either the content was written or suggestions for how to approach the different categories.
Relating to artificial intelligence terms and tools
Relating to the design and delivery of courses
Relating to overarching frameworks or models that arise from, and encompass, our beliefs and values related to course topics
Relating to moral or legal issues or definitions concerning plagiarism, academic honesty, intellectual property, security, and privacy
You can earn a digital badge for each of the modules in the course by completing all activities and the discussion within that module. Each of these discussions is related to the module content and will help you make connections between what you are learning in the course and how you can use AI in your classroom, as well as give you the opportunity to interact with your colleagues and peers in higher ed. Your submissions will be reviewed by either a facilitator on your campus or an educational developer in the Biggio Center Teaching Unit. If your submission does not meet the stated criteria, you will have the opportunity to use the feedback you receive to re-submit the assignment.
You can earn the AUAI Experimenter badge by completing all five course modules, earning each corresponding digital badge, and participating in a capstone discussion that synthesizes everything you've learned throughout the course. The capstone discussion will also be reviewed by either a facilitator on your campus or an educational developer in the Biggio Center Teaching Unit with the opportunity to resubmit as needed.
