AI
Literacy
for All
1st International Workshop on AI Literacy Education For All
26th International Conference on Artificial Intelligence in Education (AIED 2025)
Palermo, Italy
July 23, 2025
As AI increasingly shapes society, ensuring that individuals across diverse backgrounds understand its capabilities, ethical implications, and societal impact is critical.
However, non-technical audiences—including K- 12 students, teachers, and workforce professionals—often lack the foundational AI literacy needed to navigate this evolving landscape responsibly. AI concepts, often cloaked in complex jargon and grounded in advanced mathematics, can be intimidating to newcomers, leading to limited enrollment in training programs or superficial engagement with existing resources.
This workshop will bring together educators, researchers, industry professionals, and policymakers to explore innovative approaches to AI literacy education. Attendees will collaboratively address challenges and opportunities in making AI education more accessible and effective.
Workshop
Goals
- Designing and evaluating AI literacy programs for K12 learners, teacher or workforce.
- Exploring educational technologies supporting AI literacy.
- Assessing AI literacy effectively and equitably.
- Developing pedagogies tailored for non- technical learners.
- Promoting diversity, equity, and inclusion in AI literacy initiatives.
Key
Dates
- Submission deadline: May 19, 2025
- Notification of acceptance: June 2, 2025
- Camera ready: June 16, 2025
Topics
of Interest
We invite contributions covering:
- AI literacy frameworks and theoretical models
- Curriculum development for K-12, higher education, and workforce
- Teacher training models for AI education
- Workforce AI education and upskilling initiatives
- Novel assessment methods for AI literacy
Submission
Guidelines
Full paper: 6-12 pages (including references). Poster: max 3 pages (including references), to showcase work in progress, preliminary results, or innovative AI Literacy learning materials. Both submission types must adhere to the workshop's formatting guidelines and should be submitted using either LaTeX LaTeX template or the DOCX template.
Agenda
Registration
Keynote Speaker
Paper Presentation
Poster Presentation
Panel Discussion
Organizing
Committee
Please reach out to ruiweix@andrew.cmu.edu
if you have any questions.
Ruiwei Xiao
Carnegie Mellon University
Ruiwei Xiao is a PhD student in the Human-Computer Interaction Institute at Carnegie Mellon University and the co-founder of Active AI. Her research focuses on AI in education and AI literacy, with recent projects centered on helping computer science beginners interact with AI in a learning-oriented way, as well as creating scalable AI literacy modules for K-12 students and educators. .
Ying-Jui Tseng
Carnegie Mellon University
Ying-Jui Tseng is a CMU alumni and a co-founder of Active AI. With years of UX design and learning design experiences for companies such as Amazon, Coursera and PaGamO, he found Active AI and has provided AI Literacy solutions have benefits thousands of learners in Taiwan.
Hanqi Li
University of California San Diego
Hanqi Li is an incoming PhD student at Department of Education, UCSD. She will be advised by Amy Eguchi, who takes part in the AI for K-12 initiative, jointly sponsored by AAAI and CSTA, as an advisory group member, working collaboratively with K-12 classroom teachers teaching CS who also took part in the development of the 2017 CSTA standards.
Guanze Liao
National Tsinghua University
Professor GuanZe Liao holds a Ph.D. in Design and currently serves as a Professor at the Institute of Learning Sciences and Technologies, National Tsing Hua University, Taiwan. His research expertise encompasses educational big data, digital textbook development policy, and implementing competency-oriented curriculum through learner-centered digital autonomous learning platforms. His current focus is on AI chatbot design and metaverse user experience, integrating artificial intelligence, educational technology, and design thinking to advance educational innovation.
John Stamper
Carnegie Mellon University
John Stamper is an Associate Professor at the Human-Computer Interaction Institute at Carnegie Mellon University and the Technical Director of the Pittsburgh Science of Learning Center DataShop. His work involves leveraging educational data mining techniques and the creation of data tools.