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Critical Strategies That Prepare Teachers to Teach With and About Artificial Intelligence

Pennsylvania Convention Center, 120A

Participate and share: Interactive session
Recorded Session
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CEO / Educational Consultant
The Block Uncarved
ISTE Certified Educator
Nancye Blair Black is an ISTE-certified educator, speaker, and consultant who cultivates dignity-driven instructional practices that empower educators, leaders, and students to succeed. Nancye is the author of nationally-implemented computer science curricula and several books, including Tablets in K-12 Education and the Hands-On AI Projects for the Classroom series. She is ISTE's AI Explorations Project Lead, ProjectSTEM's Director of Innovation, and a TC Games Research Lab leader. She's completing her doctoral degree in Instructional Technology at TC Columbia University. Talk to her about equity, AI, ISTE Cert, unique educational experiences, anything you're passionate about! @NancyeBlackEdu.
University of Michigan-Dearborn
Before earning his doctorate degree in Learning Technologies at the University of Michigan, Stein Brunvand was an elementary school teacher. Stein is very interested in the enhancement of learning environments through the integration of technology and enjoys working with preservice and practicing teachers to learn about how this can be done more effectively. In his dissertation he looked at how scaffolds impact what preservice teachers learn and notice from videos of classroom practice. While at UM-Dearborn he has investigated the impact of research-based professional development on the integration of technology in K-12 classrooms.
Professor of Educational Technology
Pennsylvania Western University
Dr. Camille Dempsey is an Associate Professor and the Coordinator for the M.Ed. in Educational Technology and Online Teaching at PennWest University. She teaches educational technology, online teaching, and STEM education courses. Her research focuses on virtuality culture theory and the ways that contemporary technology mediates human presence. Camille also currently serves as an ISTE AI Fellow, and has been fortunate to have guided teachers as a faculty coach in the ISTE AI Explorations program.
Associate Professor
University of California San Diego
Associate Professor
The University of the Incarnate Word
Dr. Lucretia M. Fraga earned a Ph.D. in Interdisciplinary Learning and Teaching with an emphasis in Instructional Technology from The University of Texas at San Antonio (UTSA). Dr. Fraga's research interest include the theoretical foundations for mobile and ubiquitous learning, emerging tools and technologies for learning, integration of technology by faculty and pre-service teachers, pedagogical practices for learning and professional development of faculty.
Asst professor
University of Hawaii at Manoa
Stacy is passionate about teaching and loves to challenge her students to come up with creative and innovative ways to solve problems. She teaches science, math, and STEM courses in the teacher preparation program at the University of Hawaii at Manoa College of Education. Stacy is so happy that she can utilize her 26 years of public elementary school experience to find ways to inspire her teacher candidates.
Interim Dean
University of Redlands
Dr. Nicol R. Howard is Interim Dean for the School of Education at the University of Redlands. She is also the Co-Director of the Race in Education Analytics Learning Lab (the REAL Lab) where she engages with students in critical quantitative and mixed methods research projects to critically examine systems, policies, and practices related to racial equity in education. She has published several books about digital equity, technology, computer science, and coding in classrooms and is co-editor for the Journal of Computer Science Integration.
Marymount University
Elizabeth Langran, Ph.D., co-author of Navigating Place-based Learning: Mapping for a Better World, is a Professor of Education at Marymount University, USA, and past-president of the Society for Information Technology and Teacher Education. She has taught secondary and post-secondary students in the US, Morocco, and Switzerland and holds a doctorate in Instructional Technology from the University of Virginia. She educates and mentors online doctoral students and pre- and in-service teachers in the Washington, DC area.

Session description

Artificial intelligence is all around us — and education leaders, teachers and students must all prepare for this AI-powered world. Join this prestigious team of ISTE AI in Education Preparation Program Fellows as they discuss cutting-edge approaches to integrating topics around AI education into teacher preparation, lead powerful hands-on AI experiences perfect for adult learners, and respond to burning questions about preparing new and preservice educators to teach in the age of AI.

Purpose & objective

Once the stuff of science fiction, AI now permeates nearly every facet of our lives, and while most of us are aware of tools like virtual assistants or AI robots, we may not be cognizant of the many ways that AI is impacting society. Until recently, conventional wisdom has suggested that instruction about AI should be confined to computer science courses at the high school level and above. However, the use of AI is becoming so pervasive throughout society that a basic understanding of what AI is and what its capabilities are is becoming as necessary as more traditional literacy skills such as reading, writing, and computation. Moreover, all educators need to understand how AI technologies can be used for and might impact instruction, assessment, administrative tasks, and even student learning activities.

This session is for higher ed faculty and staff, as well as K-12 leaders and coaches, who support preservice and inservice K–12 educators, across subject areas and grade levels. Attendees will leave this session with a greater awareness of AI's potential role in education, as well as instructional approaches and activities that they can use with teachers to prepare them as educators in the AI age. With new strategies and resources in hand, attendees will be ready to cultivate a culture of innovation, exploration, and experimentation with AI technologies in education.

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This session will feature an innovative and interactive approach to a multi-presenter session, giving both presenters and attendees the opportunity to interact and respond to various issues surrounding AI education.
1. Getting Started: Introduction of presenters & welcome from ISTE and GM
2. Take a Closer Look: Fellows demonstrate and discuss strategies and activities for integrating AI education topics into teacher preparation and professional development
3. Wrapping Up: Audience Q&A, Final thoughts from fellows, and Resource share.

(More specifics will be added to this interactive session outline later this spring. This session is being developed by ISTE's 2023 AI in Education Preparation Programs Fellows, which begins March 15. This fellowship of innovative higher ed faculty and staff is being convened strategically to develop the strategies, resources, and materials for this ISTELive Conference session, as well as future expanded offerings for the teacher education community.)

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Supporting research

The Hands-On AI Projects for the Classroom series by Nancye Blair Black and Susan Brooks-Young:

EdSurge's AI is for Everyone, Everywhere microsite:

Teaching AI by Michelle Zimmerman:

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Session specifications

Artificial Intelligence
Grade level:
Community college/university
Skill level:
Coaches, Professional developers, Teacher education/higher ed faculty
Attendee devices:
Devices useful
Attendee device specification:
Smartphone: Android, iOS, Windows
Laptop: Chromebook, Mac, PC
Tablet: Android, iOS, Windows
Subject area:
Computer science, STEM/STEAM
ISTE Standards:
For Education Leaders:
Equity and Citizenship Advocate
  • Ensure all students have skilled teachers who actively use technology to meet student learning needs.
For Educators:
  • Set professional learning goals to explore and apply pedagogical approaches made possible by technology and reflect on their effectiveness.
  • Model for colleagues the identification, exploration, evaluation, curation and adoption of new digital resources and tools for learning.