Objectives
For the Open Category, the Competition aims to:
1) Promote Innovation in Education: Encourage the development of AI-driven solutions that enhance teaching and learning experiences. This includes creating generative AI-assisted tools for personalized learning experiences and adaptive feedback, developing AI-powered tools in pedagogies and content design, designing innovative assessment techniques, etc.
2) Drive Educational Transformation: Leverage AI technologies to transform educational practices, making learning more accessible, personalized, and effective. The competition emphasizes the development of frameworks for integrating AI tools into teaching methods, curricula, and online learning platforms.
3) Enhance AI Research and Applications: Stimulate research and application of AI technologies in education, driving advancements in areas such as generative AI-assisted learning content design, engagement and motivation analysis, and the reliable and relevant deployment of generative AI tools.
4) Encourage Responsible AI Practices: Advocate for the ethical and responsible use of AI technologies in education. This involves addressing aspects of fairness, privacy, equity, diversity, and inclusion, ensuring that AI applications are used ethically and responsibly.
5) Support Skill Development: Provide a platform for participants to develop and showcase their skills in AI and education. The competition aims to foster talent and expertise, with a focus on AI literacy and the integration of AI tools into existing pedagogies and curricula.
6) Foster Global Collaboration: Connect experts, researchers, and practitioners from diverse backgrounds to share insights, knowledge, and best practices in AI and education. The competition promotes cross-border cooperation and knowledge exchange, particularly in areas such as generative AI-enhanced learning analytics and collaborative learning platforms.
Organising Committee
Organiser:
The Education University of Hong Kong
Co-Organisers:
Centre for Learning, Teaching and Technology (LTTC), EdUHK
Center for Education Innovation, The Hong Kong University of Science and Technology
Educational Development Centre, The Hong Kong Polytechnic University
The Hong Kong University of Science and Technology (Guangzhou)
Hong Kong Generative AI Research and Development Center (HKGAI)
Baidu Limited
Advisors:
o Prof. Lionel Ming-Shuan NI
Founding President of HKUST (Guangzhou),
Chair Professor, Department of Computer Science and Engineering,
The Hong Kong University of Science and Technology
o Mr Hon-cheung LEE
Chairman of the Board of Directors of Hong Kong Education City,
Hong Kong Education City
Chair:
o Professor Guandong XU
Chair Professor of Artificial Intelligence,
Director of the Centre for Learning, Teaching and Technology,
Director of University Research Facility of Data Science and Artificial Intelligence,
The Education University of Hong Kong
Co-Chairs:
o Professor Mutlu CUKUROVA,
Professor of Learning and Artificial Intelligence,
UCL Institute of Education,
University College London
o Professor Jiyou JIA,
Department Head of Education Technology,
Director of Digitalized Education Research Centre Peking University,
Peking University
o Prof Jun Shen
School of Computing and Information Technology
University of Wollongong, Australia
o Prof Irwin King
Department of Computer Science & Engineering
The Chinese University of Hong Kong
o Prof Zhi Liu
Faculty of Artificial Intelligence in Education
Central China Normal University, China
Supporting Organisations:
o Education Bureau, The Government of the Hong Kong Special Administrative Region
o Hong Kong Education City
Theme
Generative AI for Teaching, Learning, and Education
Focusing on the theme of Generative AI for Teaching, Learning, and Education, the Competition invites participants to explore the transformative potential of generative AI technologies across a variety of educational contexts. The following relevant topics can be considered:
Topic
Developing generative AI-assisted tools for personalised learning experiences and adaptive feedback.
Creating generative AI-powered tools to improve learning analytics and provide actionable insights for educators and administrators.
Designing generative AI-powered tools to assist students with special education needs.
Creating generative AI-based applications to analyse and enhance student motivation and engagement in learning activities.
Developing generative AI-based tools and platforms that facilitate and enhance collaborative learning experiences. These tools should leverage the capabilities of generative AI capacities to foster meaningful interactions, encourage knowledge sharing, and promote teamwork skills.
Developing frameworks, models, and standards for integrating generative AI Tools into existing learning tools, teaching methods, curricula, and online learning platforms.
Creating methods and solutions to deploy generative AI in teaching and learning scenarios and improve Generative AI Tools’ quality, accuracy, reliability and relevance.
Designing new assessment techniques and tools that leverage generative AI tools and AI literacy while maintaining academic integrity.
Developing tools and techniques for creating engaging and effective learning content using generative AI.
Developing solutions to ensure the responsible and equitable use of Generative AI in educational settings.
Stream
Participants can submit their works to one of four streams:
Stream 1
Identifying an educational problem and proposing a solution.
Stream 2
Identifying an educational problem and proposing a prototype solution.
Stream 3
Identifying an educational problem, presenting a prototype and providing a comprehensive solution.
Stream 4*
Composing and optimising AI algorithms to build up educational applications
*Stream 4 will kick off the competition on the platform of Baidu PaddlePaddle.
For Stream 4, the task below will be released on the Baidu PaddlePaddle Platform (https://aistudio.baidu.com/competition/detail/1271). Participants will need to register and access the Baidu PaddlePaddle Platform after their first submission is successfully completed on this website. They should log in to the platform to view the competition details and training data and to operate properly. The finalists will be invited to attend the Pitch Day and Awards Presentation Ceremony in Hong Kong.
Please scan the QR code below to join the Official Communication and Q&A WeChat Group for Stream 4
(在线视频课程智能推荐)
Online education platforms have accumulated vast amounts of user behavior and course data. However, leveraging AI technology to achieve precise and personalized recommendations still poses significant challenges. MOOCCube, as one of the largest open education datasets in the world, encompasses multidimensional information such as course selection, video viewing, and course knowledge graphs, providing a rich research foundation for building intelligent educational recommendation systems. This competition aims to explore the integration of large models and recommendation systems using the PaddlePaddle framework and PaddleNLP suite, uncovering subject correlations, optimizing course recommendation effectiveness, and promoting the intelligent allocation of educational resources.
( 在线教育平台积累了海量用户行为与课程数据，但如何通过AI技术实现精准的个性化推荐仍面临挑战。MOOCCube作为全球最大的开放教育数据集之一，覆盖用户选课、视频观看、课程知识图谱等多维度信息，为构建智能教育推荐系统提供了丰富的研究基础。本赛题旨在通过PaddlePaddle框架与PaddleNLP套件，探索大模型与推荐系统的结合，挖掘学科关联性，优化选课推荐效果，推动教育资源的智能化分配。)
Eligibility
Participants should apply based on their status at the time of making the submission:
Higher Education Category: Current students in Diploma, Higher Diploma, Associate Degree, Bachelor’s, Master’s or Doctoral full-time programs offered by any tertiary institution, including freshman-to-be at the time of enrolment.
Open Category: Participants aged 18 or above, including non-full-time students, scholars, educators, professionals in the industry, etc.
Remarks: If the team is a combination of full-time students and non-students, they should apply for the “Open Category”.
Submission Requirements
First submission
• Identify a problem related to the theme of Generative AI for Teaching, Learning, and Education and choose a stream to submit the entry form via the website.
• Describe the project, present a prototype (if applicable) and elaborate on the mechanism of the solution with a video (up to 3 minutes, in mp4 format, less than 300MB) or a presentation deck (in PDF/PPT format, maximum 15 slides and 30MB).
• Optional:
o Images/videos of work-in-progress solution/prototype (if applicable)
o Cover images (in JPG/PNG format, maximum 2MB each)
o Other supplementary materials
Final submission
Participants should submit the enhanced works based on the feedback given by the judges:
• Submit a video (up to 3 minutes, in mp4 format, less than 300MB) and a presentation deck (in PDF/PPT format, maximum 15 slides and 30MB).
• Optional:
o Images/videos of work-in-progress solution/prototype (if applicable)
o Cover images (in JPG/PNG format, maximum 2MB each)
o Other supplementary materials
Timeline
Key Date (Updated) | Action |
| Deadline for First Submission |
| Notification of Shortlisted Finalists |
16 June 2025 (Mon) | Enhancement and Resubmission (Final Submission) |
20 – 21 August 2025 |
|
Pitch Day
The finalists will be invited to have an on-stage presentation (optional: live demo) to the Judging Panel in Hong Kong.
The results of the Competition will be announced, followed by the awards presentation ceremony on the same day.
Note
(1) All entries received from the First Submission will be assessed by the judges. Shortlisted finalists will be notified to further enhance their works and may use their selected tool to develop a solution within a specific period.
(2) The PPT and video files, as well as live demo materials (if any) submitted in the final submission will be used on Pitch Day. These files will be uploaded onto the computer used in the Competition. No files will be accepted during the event.
Judging Criteria
- Problem Identification and Relevance in Education
-
Feasibility and Functionality (for Streams 1&2 only)
Technical Implementation and Performance (for Stream 3&4 only)
- Innovation and Creativity
- Scalability and Sustainability
- Social Impact and Responsibility
Awards
- Finalists from overseas will be sponsored to travel to Hong Kong for the Pitch Day and Awards Presentation Ceremony. Cash prizes and trophies will be presented to the winners. All finalists will be awarded. All participants will receive an e-Certificate of Participation.
Stream 1
- Champion
- First Runner-Up
- Second Runner-Up
- Merit
Stream 2
- Champion
- First Runner-Up
- Second Runner-Up
- Merit
Stream 3
- Champion
- First Runner-Up
- Second Runner-Up
- Merit
Stream 4
- Champion
- First Runner-Up
- Second Runner-Up
- Merit
All Streams
- Innovative Problem Discovery Award
- Outstanding Innovation and Creativity Award
- Excellence in Educational Impact Award
- Best Pitching Award
Rules of the Competition
1) Participants must attempt with their best effort in the competition.
2) Each individual or team can submit only one solution per project at the Competition.
3) All entries must be originally created by the participants and have not been previously published or submitted in any prior competitions.
4) If participants have used Generative AI Tools in their entries, they must declare which parts were generated when submitting the works. If no declaration is provided, the Organisers will consider the whole submission as the participants’ original creation. Should the Organisers find generated content that was not declared, the participants may be disqualified.
5) Finalists must demonstrate their entries onsite at the competition venue.
6) Each team will only be allowed to change one team member once, and must notify the Organisers in advance.
7) Participating individuals or teams should not disturb other participants.
8) Damage to any facilities is not allowed.
9) Food and Drinks are prohibited in the competition venue.
10) Illegal and improper behaviour is prohibited.
11) An individual or team may be disqualified if found to have violated the above regulations.
12) The Organisers reserve the rights to make final decision.
Disclaimers
1. Copyrights and intellectual property of the ideas, prototypes and solutions are owned by the participants themselves.
2. The Organisers reserve the right to amend, extend and interpret the Competition guideline and rules without prior notice.
3. The Organisers reserve the rights to exhibit participants’ ideas, prototypes, solutions and any other materials submitted to the Competition.
Enquiry
AIREA Secretariat
Email: airea@eduhk.hk