International Conference and Summer Institute on GenAI Literacy:
Multidisciplinary Research and Practice in the Age of GenAI
Conference Period:
June 10-13, 2025
Venue*:
Obuda University, Budapest, Hungary
*Those who can't come to Budapest may participate in the conference online
Submission Deadline:
March 31, 2025, 23:59 (Your Local Time)
Submission via EasyChair:
TBA
High quality papers and conference presentations will be considered to be included in a special issue for the following journals:
Artificial Intelligence in Education
Call for Papers
The International Conference and Summer Institute on GenAI Literacy (ICGAL) is a global forum dedicated to addressing the challenges and opportunities posed by generative artificial intelligence in education, information science, health sciences, and business.
This year’s theme is Multidisciplinary Research and Practice in the Age of GenAI.
As GenAI technologies are influencing everyone, young and old, the need to develop new AI literacies - especially GenAI - specific literacies - has never been more urgent. This conference addresses the critical role of AI in education and beyond, focusing on its potential to enhance STEM and STEAM learning, foster creativity in the digital humanities, and support information and business professionals in navigating an increasingly AI-driven world.
A non-exhaustive list of relevant topics:
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AI Literacies
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GenAI Literacies
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Digital Humans for Education
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Chatbot for Education
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AI for Information and Business Professionals
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AI for Education
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AI for STEM and STEAM Education
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AI for Health Sciences
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AI for Digital Humanities
We invite you to join the dialogue to advance interdisciplinary research and application in an AI-driven world. The ICGAL 2025 will comprise keynote speeches and invited talks by internationally renowned scholars. It also covers panels, industry demo sessions, paper presentation sessions, workshops, and doctoral student consortiums.
We cordially invite you to submit a paper on one of the topics listed above (feel free to suggest other related topics), and share your research and practices of AI in education, information science, health science, and/or business with our participants. Submission details are provided below, and more information is available on our website in due course.
Awards:
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Best Short Paper Award
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The Best Short Paper Honorable Mention Award
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Best Presentation Award
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Best Student (UG, Masters & PhD) Short Paper Award(s)
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Best Student (UG, Masters & PhD) Presentation Award(s)
Important Dates:
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Abstract and Paper Submission Deadline: 31 March 2025 23:59 (Your Local Time)
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Notification of Abstract and Paper Acceptance: 15 April 2025
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Camera-ready Abstract and Full Short Paper Submission Deadline: 15 May 2025
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Conference Period: 10-13 June 2025
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June 10: Pre-conference
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June 11 - June 12 am: Main conference
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June 12 pm & June 13 pm: Summer Institute
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June 13 am: Visits
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Paper/Abstract Submission
ICGAL 2025 calls for Full Short Paper in English with the below paper length. Please find the paper templates for your reference below. Accepted full papers will be published in Conference Proceedings.
Paper/Abstract Categories
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Short paper: 3 – 4 pages (2000-3000 words, excluding abstracts and references)
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Abstract: 200-300 word
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Poster paper: 2 – 3 pages (including references)
Submission Guidelines
Our conference “International Conference on GenAI Literacy (ICGAL)” welcomes submissions of short papers, posters and abstracts for presentation. Empirical studies, work in progress, literature reviews, conceptual and/or theoretical papers are all welcome. Besides, panels and innovative product demonstrations are also welcome.
All papers must be substantiated by experimentation, simulation, theoretical development, empirical evidence, analysis, or application in practice. Submissions will be judged on such criteria as quality of content, significance for theory, relevance for practice, method, design, originality, and quality of presentation. Each accepted paper/abstract will be invited to give a presentation of 15 mins followed by a 5-mins Q&A. Each accepted panel can last for 1-1.5 hours.
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Short papers: The maximum length for a short paper, including title, abstract (not more than 200 words), references, and appendices, is 3,000 words. All citations and references must be in APA format. Any tables, figures, or other graphics should be embedded in the document.
Short papers should be submitted via EasyChair. These submissions will undergo a peer-review process, and accepted papers will be included in the conference proceedings. Submissions of short research papers (in PDF format) must adhere to the ACM Article Template and should not exceed 4 pages in length (including figures, appendices, etc.), with an unrestricted space for references. Please make sure to add Concepts and Keywords. For formatting, Word users should utilize "interm-layout.docx," while LaTeX users should use "sample-sigconf.tex."
Should further information about the Conference be required, please do not hesitate to contact the Secretariat at icgal@oxford-i-publishing.com.
Keynote:
Knowledge Overlord: A self-sustaining AI game-based online platform to enhance Student’s literacy ability and 21st century skills
Professor Chu, Kai Wah Samuel, Department of Health Sciences, School of Nursing and Health Sciences, Hong Kong Metropolitan University
Abstract:
Reading is the basis for most learning. One way to help students enhance reading abilities is to have them go through reading comprehension exercises, especially the interesting ones. In the past several decades, a number of systems have been constructed to automate these reading comprehension exercises, and assessments for students. The bottleneck is in the creation questions, especially the higher order thinking questions as described in PIRLS reading assessment framework including inference, interpretation, integrating ideas and evaluation. It takes a lot of good effort from humans to create high order thinking questions. With GenAI, humans can potentially use AI tools to create questions and answers faster and with better quality.
In this talk, I will first give an overview on the kinds of data contained in reading-related database(s), and the challenges faced by the data creator before GenAI. I will then share our experience on how we now collaborate with GenAI in creating the questions and answers. Our pilot study indicated that GenAI now can actually create higher-order thinking questions almost as good as humans. Implication of this talk is that various forms of data may be created at a much enhanced speed and at a higher quality with GenAI.
Bio:
Professor Chu, Kai Wah Samuel obtained 2 PhDs in Education – one focusing on e-Learning from University College London in the UK and another one focusing on Library and Information Science from The University of Hong Kong (HKU). He is a multidisciplinary researcher/professor in 4 disciplines - e-Learning, Information Science, Health Sciences and Early Childhood Education. He has been involved in over 80 research projects with a total funding exceeding 11 million USD. He has published more than 500 articles and books, with 140+ of them appearing in peer-reviewed international academic journals.
Prof. Chu ranked among the top 0.46% of scholars in Information & Library Sciences in 2021, ranked 60 out of 12,940 scientists in the field worldwide - A study by Stanford University. He has received many awards including the Faculty Outstanding Researcher Award in 2013, Faculty’s Knowledge Exchange Award in 2016 and Excellent Health Promotion Project Award from Food and Health Bureau in 2017 and the China New Development Award (for a book on AI literacy) from Springer Nature in 2023. He achieved an h-index of 57 over the years.
He is a member of the “Humanities and Social Sciences Panel (Joint Research Schemes)” of the Research Grants Council of Hong Kong / RGC (2023 – 2025) and was a member of the “Humanities and Social Sciences Panel” of RGC (2016-2022). Prof. Chu has been a consultant for UNESCO Bangkok, Education Bureau in HK, Oxford University Press, Pearson Education Asia, and was the ASIS&T Director of Chapter Assembly (2020-2021). Starting in 2015, Professor Chu has been an Advisor for EdTech and eHealth startups and in 2020, he founded a non-profit organisation called Academy 22 Education for All Foundation Limited.
Keynote:
Empowering Education with AI: Preparing for the Future of Learning and Work
Dr. Thomas Chiu, Associate Professor of Digital and STEM Education (from August 1, 2025), The Chinese University of Hong Kong; Associate Director, Centre for University and School Partnership; Associate Director, Centre for Learning Sciences and Technologies.
Abstract:
AI impacts education in two areas: AI education and AI in education. AI education focuses on teaching about AI, while AI in education involves utilizing AI to support learning and teaching. Incorporating AI technology and topics into education not only helps youngsters understand what AI technologies are and how they work, but also prepares them for future workplace demands. However, understanding how AI can be effectively integrated into educational settings remains in its early stages. In this talk, the speaker will present the key findings of his empirical investigations on how AI CRAFT education, as well as future research directions for practices and policy.
Bio:
Dr. Thomas CHIU is an Associate Professor of Digital and STEM Education (from 1 August, 2025) at The Chinese University of Hong Kong, as well as the Associate Director of the Centre for University and School Partnership and the Centre for Learning Sciences and Technologies. He has extensive experience in school teaching and leadership, while also recognized as one of the top 2% most cited scientists in education by Stanford University. He currently serves as a co-editor of interactive learning environments and an associate editor of three international SCCI journals. His recent book, Empowering K-12 Education with AI: Preparing for the Future of Education and Work, reflects his commitment to and expertise in AI education.
Workshop for Summer Institute (3 hours):
Understanding your AI competency by designing activities and measurable items - Thursday pm
Dr. Thomas Chiu, Associate Professor of Digital and STEM Education (from August 1, 2025), The Chinese University of Hong Kong; Associate Director, Centre for University and School Partnership; Associate Director, Centre for Learning Sciences and Technologies.
Abstract:
In this workshop, the speaker will introduce two frameworks related to teaching AI competency: one for self-regulated learning and another for human-AI collaborative learning activities. He will also present assessment items for evaluating teacher and student AI competency. Participants will engage in discussions on how to adapt and apply these activities and assessment items in their context. Through hands-on activities, participants will gain a more thorough understanding of designing AI-supported self-regulated learning activities and assessing AI competency effectively.
Bio:
Dr. Thomas CHIU is an Associate Professor of Digital and STEM Education (from 1 August, 2025) at The Chinese University of Hong Kong, as well as the Associate Director of the Centre for University and School Partnership and the Centre for Learning Sciences and Technologies. He has extensive experience in school teaching and leadership, while also recognized as one of the top 2% most cited scientists in education by Stanford University. He currently serves as a co-editor of interactive learning environments and an associate editor of three international SCCI journals. His recent book, Empowering K-12 Education with AI: Preparing for the Future of Education and Work, reflects his commitment to and expertise in AI education.
1. Discounts & Eligibility
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Group Discounts:
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Pre-Conference Registration: Groups of 4+ participants pay €48/person (~20% off the standard €60 rate).
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Full Fee Package: Groups of 4+ participants pay €320 total (~20% off the standard €400 rate).
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Conditions: All group members must register in a single transaction. Discounts cannot be combined with Early Bird rates.
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Early Bird Discounts:
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Full Fee Package Early Bird: €320 (valid until [insert deadline]).
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Student Early Bird: €200 (valid until [insert deadline]).
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Conditions: Payment must be completed by the deadline. No extensions.
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Student Rates:
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Requires a valid student ID (upload during registration or present at check-in).
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Excludes Summer Institute and Conference Dinner
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2. Requirements for Presenting Authors
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Mandatory Registration:
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Authors of Short Papers (3–4 pages), Abstracts (200–300 words), or Poster Papers (2–3 pages) must register for either:
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Full Fee Package (includes all days + dinner).
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1.5-Day Conference (minimum requirement).
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Submission ID: Provide your assigned submission ID during registration.
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Presentation: In-person attendance is mandatory. Virtual participation is not permitted.
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Deadline: Presenting authors must register by [insert deadline] to be included in the program.
3. Exclusions & Limitations
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Single-Day Registrations:
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1-Day (Wednesday) and ½-Day (Thursday AM) registrations do not include the Conference Dinner. Purchase separately (€50).
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Summer Institute: Requires separate registration (€100). Not included in any package except the Full Fee Package.
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Friday AM Visit: Only available as an add-on (€40). Not included in any package.
4. Payment & Policies
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Currency: All fees are in EUR (€).
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Refunds:
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Full refunds available until [insert deadline].
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No refunds after [insert deadline], except for cancellations due to visa denials (documentation required).
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Deadlines:
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Early Bird: [Insert deadline]
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Presenting Author Registration: [Insert deadline]
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General Registration Closes: [Insert deadline]
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Confirmation: A registration confirmation email will include a QR code for check-in.
5. How to Register
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Groups: Email [conference email] to request a group registration link.
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Students: Upload a scanned student ID during checkout.
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Presenting Authors: Enter your submission ID in the "Special Requests" field.
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Technical Issues: Contact [support email] for registration portal assistance.
Organizing Committees
Local Organizing Committee members
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International Organizing Committee members
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Dr Cheng, Wing Kin
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Senior Lecturer, Department of Education, School of Education and Languages, Hong Kong Metropolitan University
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Professor Chu, Kai Wah Samuel
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Department of Health Sciences, School of Nursing and Health Sciences, Hong Kong Metropolitan University
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Honorary Professor, Faculty of Education, The University of Hong Kong
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Dr. Ng, Tsz Kit Davy
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Assistant Professor, Department of Mathematics and Information Technology, The Education University of Hong Kong, Hong Kong
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Dr. Maiga Chang
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Full Professor & Associate Dean, Research & Innovation, Faculty of Science and Technology, Athabasca University, Canada
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Dr. Raj Kumar Bhardwaj
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Librarian, St Stephen's College, University of Delhi, Delhi
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International Conference on GenAI Literacy:
Multidisciplinary Research and Practice in the Age of GenAI
10-13 June 2025
Obuda University, Budapest, Hungary