SOME USEFUL LINKS AND TALKS: “Open Education & Artificial Intelligence: What Do They Have in Common?”

[Frederick Noronha]

Teaching & Learning Center: 2026 AI+OER Institute
Use this guide as a central hub of information from the TLC
https://cptc.libguides.com/TLC/AIOER2026

“Open Education & Artificial Intelligence: What Do They Have in Common?”
Robin invites participants to step back from both OER and GenAI tools and
examine them through a values lens.  Her keynote frames the idea of the
“commons,” exploring where AI’s promise of democratization overlaps with
open education’s equity goals and where the principles and platforms of AI
may be working against those foundational hopes.
https://www.youtube.com/watch?v=geBjTdvn9uY

Robin DeRosa Executive Director, Open Education Network:
About Robin: Dr.  Robin DeRosa is the Executive Director of the Open
Education Network, a collective of institutions and consortia working to
make higher education more affordable, equitable, and engaging.  She has
previously served as a professor of literature and interdisciplinary
studies, founder and director of a faculty development center, and library
director at a public university.

Essential Tools for Tomorrow: AI-Enabled OER in Action
Robbie Melton, Vice President
SMART AI for All, Tennessee State University
How generative AI is changing the creation, adaptation, and delivery of Open
Educational Resources.  Through demonstrations and discussion, participants
examine how AI can streamline content development, personalize learning, and
remove barriers to access, while addressing questions of authorship,
licensing, and ethical implementation.  Examples run from early childhood
education through specialized professional programs.
https://www.youtube.com/watch?v=gv3eZ-XC9vo

What's Open About AI?
Robert Farrow, Senior Research Fellow
Institute of Educational Technology, The Open University (UK)
A current map of the debates around the role of openness in AI and of AI in
open education.  Rob explores AI's dual character as both enabler of and
threat to open education, and presents results from a recent
phenomenographic study with 24 experts across education, technology,
business, and law on whether "open" AI is possible and what features it
would need.
https://www.youtube.com/watch?v=9rT1Gc8fQMY

Enhancing Neuroplasticity with AI in Learning
Missy Widmann, EdD, Educator and Co-Founder
Neural Education and Pacific Lutheran University
How AI can be aligned with access points for students, using the principles
of neuroplasticity.  Missy connects AI to teaching strategies that support
cognition and transfer: retrieval practice, interleaving, and metacognitive
feedback.  Participants leave with a working understanding of the neural
substrates of transferable learning and how to build enriched learning
environments in an AI-enabled world.
https://www.youtube.com/watch?v=L7veib2MtD0

AI & Open Education: Navigating Moral Dissonance
Mandi Goodsett, OER & Copyright Librarian
Cleveland State University
Generative AI looks like an answer to open education's chronic problems: no
time for authors, no resources for copy-editing, no ancillary materials.
The open education community has been slow to adopt it anyway.  One
explanation is moral dissonance, the feeling that your actions have drifted
from your values.  Mandi maps OER values against the tensions AI introduces
and offers strategies for realignment.
https://www.youtube.com/watch?v=H3p591KQrL8

STREAM: Keeping Courses Current with AI-Resistant, Interactive Reading
Assignments
Linda Passamaneck, Associate Professor
University of Oklahoma
A method for turning traditional course readings into interactive, current,
applied learning activities using AI and OER.  Linda shares workflows
participants can use immediately at no cost and with no instructional design
or development background required.  The session also covers how the model
cuts grading time and content maintenance.
https://www.youtube.com/watch?v=7wUO5VIet7E

Beyond AI Attribution: Your Why Matters
Amber Hoye, Director of Programs from The Rebus Foundation
Shannon M. Smith, Collection Management from University of Wyoming
When creators use AI to build openly licensed materials, how do they stay
transparent about where, why, and how AI was used, and how do they leave a
usable roadmap for people who want to adopt, adapt, and remix later?
Building on an existing attribution framework, Amber and Shannon argue that
acknowledging AI use is not enough, and show how to document the prompt, the
usage, and the verification path.
https://www.youtube.com/watch?v=jJB6_brE7oY

“The Practice of the Commons: Agency, Authorship, and Open Pedagogy in an AI
Age” Picking up where Friday’s keynote ends, Susan brings the conversation
into pedagogical practice.  She argues that AI is putting pressure on
education by positioning everyone as consumers of generated content, and
explores what it looks like to design for genuine student agency: holding
questions before prompting, protecting productive struggle, and treating
curation as a core learning skill.
https://www.youtube.com/watch?v=sq5dxUnwPZ8

Building the Plane While Flying It: Rapidly Launching an AI Course to
Prepare Students for an AI-Enabled Workforce
Brian Lee, Lecturer
University of Washington, Milgard School of Business
In late 2025, Milgard faculty spotted a gap between the AI skills employers
wanted and what students were being offered.  TBUS 590 was conceived,
developed, approved, and delivered inside a single academic cycle, and
demand outran expectations.  Built entirely as an OER course in Canvas using
open articles, reports, videos, and faculty-developed materials, it kept
pace with a fast-moving field at zero textbook cost.  Brian covers the
design, the competencies targeted, student outcomes, and what he would do
differently.
https://www.youtube.com/watch?v=rVleNAmVhQ4

Keep Calm and Prompt On: Co-Creating Inclusive OER with AI
Natasha Maria Gomes, Assistant Professor
Goa University, India
Three educators open the same handbook.  One has a laptop and reliable
broadband, one has a shared smartphone and poor connectivity, one has a
printed page and no internet.  All three get nearly the same experience.
Natasha explains how that was built into "Keep Calm and STEAM Ahead," an
arts-integrated SEL handbook developed through the Open Education for a
Better World programme, and where AI helped: simplifying dense material,
generating transcripts, and supporting accessibility features.  She also
covers what the process got wrong and where AI-generated content hit its
limits.
https://www.youtube.com/watch?v=T0JlLoOaZoo

The One-Person Software Team: An Open Method for Teaching Real AI
Collaboration
Michael D. Lawrence, Engineering Technology
Queensborough Community College (CUNY), New York
MAP (Multiple Agent Processing) is an openly shared methodology for AI
collaboration developed and taught at Queensborough Community College.  The
human works as Product Owner, one AI as Business Analyst, and another as
Tech Lead.  Michael shows how the method carried a production cloud system
from idea to live deployment, and how community college students learn it
through a five-constraint "Prime Directive" that produces durable,
inspectable, openly licensable applications, with assessment reframed around
disclosed collaboration rather than artifacts.
https://www.youtube.com/watch?v=5Vk_FI9ylag

Beyond the Disclosure Statement: Attributing Human-AI Contribution in Shared
Work
Victoria Brame, Co-Founder & Chris Macek, Co-Founder
Clear Box
Blanket AI disclosure statements are free-form prose attached to a single
work, so they rarely survive adaptation or reuse.  Meaningful attribution
requires decomposing a work into contribution layers to see who did what,
human or AI, at each stage.  Victoria and Chris introduce DARP (Devise,
Author, Review, Prepare) and have participants map contributions in familiar
scenarios: publishing an article, co-creating renewable assignments with
students, co-authoring an OER, crediting group work.
https://www.youtube.com/watch?v=3VIHyiaeNvI

Pattern Generation Is Not Creativity: What Film Education Teaches Us About
Student Authorship in an AI Age
Joni Gutierrez, Accessible Technology Specialist and Founding Director
Tacoma Community College and CHAIRES
Human creativity emerges from memory, emotion, identity, and culture.
Pattern generation does not.  Using film education as a case study, Joni
offers a transferable model where decisions about composition, expression,
and meaning stay with the student maker.  Participants explore strategies
for establishing authorial accountability over the final product, putting
Principle 3 of the Eight Essential Principles for AI in Education into
practice.
https://www.youtube.com/watch?v=0npYdpKVtXw

Clover Park Technical College Teaching & Learning Center  

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_/  Frederick Noronha  फ्रेडरिक नोरोन्या  * فريدريك نورونيا‎
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