Everything You Need to Know About Teaching With Generative AI: A Course for Educators

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Teaching With Generative AI: A Course for Educators is a new professional development experience from the Institute at Macmillan Learning. This eight-week course starts on May 13th and will focus on equipping educators with knowledge and hands-on support in developing course policies, designing assignments, and navigating conversations with students in the face of generative AI. 

You can sign up for updates and access to early bird pricing here. 

Below, you’ll find everything you need to know about the course from the topics that will be covered to information about the course developers and facilitators.

Quick Facts About the Course

• Who is this course for? This course is for any educator looking to learn about AI in education and apply new principles to their teaching.
• How long is the course? This course will start on May 13th and last for eight weeks 
• Is this course synchronous or asynchronous? This is a hybrid course with assignments and reading that can be done asynchronously and a few synchronous virtual meetings. 
• How much time will this course take? We estimate that course participants will spend fewer than 5 hours per week reviewing course materials, completing assignments, and meeting with peers and facilitators.
• How much does the course cost? The course fee is $249. Sign up today for a special $99 offer.
• How many participants are being accepted to the course? Each cohort will be limited to 50 participants. 
• Will I receive a credential for completing this course? Yes, upon successful completion of the course, you will earn a certificate that can easily be shared with your department as well as on LinkedIn. 

Sign up for course updates.

Expert-Developed Course Modules On Your Schedule

Teaching With Generative AI: A Course for Educators will give you access to expert-developed course content that you can do on your schedule. These modules can be completed asynchronously, allowing you to fit them into your busy schedule. The following four modules will help you address several common teaching and learning challenges associated with generative AI.

• Welcome to Teaching with Generative AI: A Course for Educators
• Crafting an AI Policy for Your Course
• Designing Assignments that Integrate Generative AI
• Navigating Conversations about Students’ Use of AI

The content for these modules has been developed by three subject matter experts and reviewed and edited by the Macmillan Learning team. Your subject matter experts for this course are Antonio Byrd, Laura Dumin, and Daniel Frank. 

Antonio Byrd, PhD, is assistant professor of English at the University of Missouri, Kansas City. He teaches courses in professional and technical communication, multimodal composition, composition studies, and qualitative research methods. He serves on the Modern Language Association and Conference on College Composition and Communication Joint Task Force on Writing and AI (MLA-CCCC Joint Task Force on Writing and AI). Established in February 2023, this task force of scholars from different subfields of English gather to support policies, assessments, and teaching about and with artificial intelligence in humanities classes and research. Antonio's first book manuscript From Pipeline to Black Coding Ecosystems: How Black Adults Use Computer Code Bootcamps for Liberation (The WAC Clearinghouse/University Press of Colorado) is forthcoming fall 2024.

Laura Dumin, PhD, is a professor in English and Technical Writing at the University of Central Oklahoma. She has been exploring the impact of generative AI on writing classrooms and runs a Facebook learning community to allow instructors to learn from each other https://www.facebook.com/groups/632930835501841. When she is not teaching, Laura works as a co-managing editor for the Journal of Transformative Learning, directs the Technical Writing BA, and advises the Composition and Rhetoric MA program; she has also been a campus Scholarship of Teaching and Learning (SoTL) mentor. Laura has created four micro-credentials for the Technical Writing program and one for faculty who complete her AI workshop on campus.

Daniel Frank, PhD,  teaches First Year Composition, multimedia, and technical writing within the Writing Program at the University of California, Santa Barbara. His research interests include AI Writing technologies, game-based pedagogy, virtual text-spaces and interactive fiction, passionate affinity spaces, and connected learning. Dan is always interested in the ways that new technologies interface with the methods of making, communicating, learning, and playing that students are engaged with across digital ecosystems. His pedagogical focus is always rooted in helping students find their own voices and passions as they learn to create, play, and communicate research, argumentation, and writing, across genres, networks, and digital communities.

Synchronous Sessions for Facilitator and Peer Support

We all stick to our goals better when we have a community of support encouraging us to do so. That’s why there will be synchronous meetings held over Zoom throughout the eight-week course. In these sessions, you’ll receive support from course facilitators and your peer educators as you put theory into practice.

Please note that the times of these synchronous meetings will be determined by participant availability.

This course will be facilitated by two educators with experience helping others consider AI’s impact, navigate the challenges it brings, and utilize it in their courses.

Lisa Blue, PhD,  is an Instructional Specialist focused on STEM-H Teaching & Learning in the Faculty Center for Teaching & Learning at Eastern Kentucky University. A St. Louis native, Dr. Blue holds B.S. and M.S. degrees in chemistry from Missouri State University and a Ph.D. in inorganic chemistry from the University of Kentucky. Dr. Blue left a postdoctoral position in the Department of Energy, Environmental, and Chemical Engineering at Washington University in St. Louis to join a Lexington start-up, Covalent Research Technologies, as the Director of Research and Development where she worked with industry partners to capture mercury, arsenic, and problematic heavy metals from industrial and mining wastewater effluents. 

While at Covalent, Dr. Blue returned to teaching part-time as an outlet to share her passion for understanding our natural world. When the start-up company was shuttered in 2012, Dr. Blue joined the University of Kentucky full-time where she taught large General Chemistry lecture courses while supervising the work of graduate students staffing the department’s General Chemistry and Organic Chemistry Learning Centers. In 2021, Dr. Blue joined EKU as the Associate Director of the Center for STEM Excellence before transitioning to her current role in 2023.

Jennifer Duncan, M.A., is Associate Professor of English at Georgia State University Perimeter College, where she teaches online classes in composition, literature, and humanities. Prior to that, she was part of the English faculty at Chattanooga State Community College in Tennessee. Jennifer is particularly interested in creating authentic and valuable writing experiences that engage online students. She holds degrees from Emmanuel College and The University of South Carolina in addition to studying at The University of Tennessee. Jennifer is a faculty consultant for Macmillan Learning.

 

Coursework You Can Use

Each reflection and assignment has been thoughtfully crafted to provide you with practical tools and strategies that you can implement in your course. Through assignments and reflective activities, you’ll be able to develop class policies, generate innovative assignment ideas, and prepare for tough conversations with students. 

The Teaching With Generative AI course is designed to empower educators to approach future courses with renewed confidence and enthusiasm, armed with the knowledge and skills to teach through an evolving dynamic brought on by AI. 

Sign up today to receive a 60% discount when enrollment opens on April 15, 2024.

Sign up for early bird pricing