The Global Digital Intelligence Education Innovation Competition

Introduction
DI-IDEA Members
Competition Format
Eligibility for Participation
Competition Schedule

Introduction

In response to the new opportunities and challenges presented by the digital intelligence era to global higher education, Peking University has collaborated with 32 universities worldwide to establish the Digital Intelligence International Development Education Alliance (DI-IDEA). Pursuant to the arrangements made by the Alliance, we are pleased to announce the launch of the Global Digital Intelligence Education Innovation Competition.

This competition aims to enhance communication and collaboration among member universities of the Alliance and extend these interactions to include other universities worldwide.

Through this competition, we seek to promote teaching and learning and explore new paradigms for the nurturing of innovative talent for the digital intelligence era. The competition is divided into Al for Science, Al for Education, and Al for Learning.

DI-IDEA Members

*The member list is alphabetically sorted by English name

American University of Sharjah	Cairo University	Digital Education Futures Initiative, University of Cambridge
Fudan University	Harbin Institute of Technology	King's College London
Korea University	Lanzhou University	Lingnan University
Mahidol University	Nanyang Technological University	Nanjing University
Peking University (DI-IDEA Secretariat)	Shanghai Jiao Tong University	Singapore University of Social Sciences
Southeast University	Sun Yat-sen University	Taejae University
The Chinese University of Hong Kong	The London School of Economics and Political Science	The University of Hong Kong
University of Auckland	University of Campinas	University of Cape Town
University of Macau	University of Malaya	University of Science and Technology of China
University of Strathclyde	Vietnam National University, Hanoi	Wuhan University
Xi’an Jiaotong University	Zhejiang University

Introduction
DI-IDEA Members
Competition Format
Eligibility for Participation
Competition Schedule

Competition Format

AI for Science

DP Technology provides support and technical platforms for AI4S (Welcome to use the platforms: Bohrium).

With the rapid advancement of artificial intelligence, AI has achieved human-comparable performance in cognition and perception.AI4S is set to accelerate humanity’s understanding of nature, addressing critical challenges in medicine, energy, and materials science.

Intelligent Experimentation
Geoinformatics
.High-Performance Computing

Intelligent Experimentation

This topic focuses on the automation and intelligent control of organic chemical synthesis. Participants will use laboratory control software, provided components, and experimental protocols to design and implement automated synthesis workflows.

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Geoinformatics

This topic invites participants to explore innovative applications of geoinformatics combined with AI and big data. Teams will define their own problems and propose creative, feasible solutions with societal impact. The focus is on advancing AI-powered aerospace data processing and analysis in areas such as agriculture, forestry, transportation, and urban governance.

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High-Performance Computing

This topic focuses on the high-performance optimization of large AI for Science models, addressing challenges in adapting and optimizing them for various hardware platforms. Participants are required to deploy workflows on domestic hardware, optimizing algorithms or adaptation strategies to enhance performance while maintaining a certain level of effectiveness.

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AI for Education

The rapid evolution of artificial intelligence (AI) is transforming the landscape of education, offering unprecedented opportunities to enhance teaching, learning, and assessment. While much attention has focused on the implications of AI for students, there is an equally vital need to empower educators to harness these technologies creatively and critically.

The competition is open to individuals or teams working in any higher education context or disciplinary setting. Entries may involve the application of existing technologies in novel contexts or the development of new technologies to address an educational challenge. What is essential, however, is that the project involves not just a ‘vision’ or a ‘demonstration’ of the potential of AI in education, but reports on its implementation and evaluation in an authentic educational setting.

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AI for Learning

Participants may choose any of the following themes and transform their creative ideas into practical AI solutions tailored to a specific learning scenario. Deliverables may include, but are not limited to, Feishu multi-dimensional spreadsheets, mobile apps, web pages, intelligent agents, or demos. Participants are encouraged to use Feishu as an efficient tool for collaboration and communication.

Exploring Learning Models
Artificial intelligence education
AI-powered learning tools

Exploring future learning models and drive AI-enabled educational transformation:

How can the advancement of AI reshape higher education? What changes might occur in the way we interact during learning? How can collaboration in learning evolve in the future? Participants are encouraged to fully unleash their imagination to envision new forms of university learning improved by tools like Feishu. They are invited to develop implementable solutions and thoughtfully consider the appropriate use, boundaries, and ethical norms of AI technologies in these future learning scenarios.

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Promoting equitable education and lifelong learning through AI:

The advancement of digital and intelligent technologies has opened up new possibilities for developing high-quality educational resources and narrowing regional and urban-rural disparities. Participants are encouraged to explore how AI can be leveraged to deliver inclusive, equitable, and high-quality education, ensuring lifelong learning opportunities for all. Participants should also provide practical implementation plans.

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Developing easy-to-use AI-powered learning tools:

Participants are encouraged to leverage Feishu and other platforms to develop AI tools—such as personal knowledge managers, document reading assistants, intelligent learning companions, subject-specific AI tutors, and problem-solving agents—aimed at enhancing learning efficiency and outcomes.

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Introduction
DI-IDEA Members
Competition Format
Committee
Eligibility for Participation
Competition Schedule
Award Settings

Eligibility for Participation

AI for Science

AI for Education

AI for Learning

1

Participants must be full-time undergraduate, master’s, or doctoral students at institutions of higher education, or individuals who graduated from or left such institutions within the last three years (after January 1, 2022). The status of being a student is determined as of the official announcement date of the competition.
2

Each participating team may have no more than ten members, with no more than five members from the same institution of higher education. Each individual may join only one project in the AI4S Track.
3

Each participating team can choose whether to appoint instructors, with a maximum of three allowed.
4

Detailed personal identification information, team details, and instructors information will be collected in the semifinal stage for eligibility verification.
5

During the competition, if any submitted materials are found to be false, or if any participants are caught plagiarizing or violating others’ intellectual property, the participants involved will be disqualified.
6

Personnel involved in topic compilation and those with access to data from the competition organizers and technical support teams, as well as their close relatives, are prohibited from participating.

1

Participants must hold teaching roles in higher education institution (university or college) which may be academic, vocation, or pre-professional in character.
2

While teams may include non-teaching staff (e.g. working in teaching support, learning technology development, library and learning resources) the team lead must have a teaching responsibility. Postgraduate students who are involved in teaching are eligible for entry
3

While the team composition may change between registration and submission of entries, the team leader cannot be changed.

1

Participants must be current students of higher education institutions or graduates who have completed their studies after January 1, 2025. Graduates before this date are not eligible to participate. Registration must ensure that personal information is accurate and valid.
2

Individuals may participate solo or as part of a team, with a maximum of five members per team. Each participant may only join one project in the AI for Learning track.
3

Each participating team can choose whether to appoint instructors, with a maximum of two allowed.
4

During the Semi-final round, detailed personal identification, team, and instructor information will be collected and verified for eligibility confirmation.
5

Information about team members and instructors may only be modified during the Preliminary round. Once a team advances to the Semi-final round, its members may be removed but cannot be added or substituted.
6

During the Competition, if any submitted materials are found to be false, or if any participants are caught plagiarizing or violating others’ intellectual property, the participants involved will be disqualified.

Competition Schedule

*The schedule is based on Beijing time. The Organizing Committee reserves the right to update the competition schedule and format as necessary.

AI for Science
AI for Education
AI for Learning

Registration
04/28/2025 - 05/31/2025
04/28/2025 - 09/12/2025
04/28/2025 - 05/31/2025

Preliminary Round
04/28/2025 - 06/15/2025
04/28/2025 - 09/12/2025
04/28/2025 - 06/15/2025

Semi-final Round
06/30/2025 - 08/31/2025
————
06/30/2025 - 08/31/2025

Final Round
September to October
————
September to October

Award Ceremony
Early November 2025

(Beijing)
Early November 2025

(Beijing)
Early November 2025

(Beijing)

↔ Swipe left or right to view the full schedule. ↔

Award Settings

AI for Science

The awards settings for each competition group are as follows

(the total prize money is 600,000 yuan, all amounts are pre-tax and in RMB)

Gold Award

1-3

Silver Awards

3-5

Bronze Awards

6-10

Merit Awards

AI for Education

There are no cash rewards, and the reward measures are as follows

（We cordially invite the winning representatives to attend the awards ceremony in Beijing, with travel and accommodation expenses reimbursed by the organizing committee.）

Gold Award

1-3

Silver Awards

3-5

Bronze Awards

6-10

Merit Awards

AI for Learning

The awards settings are as follows

(all amounts are pre-tax and in RMB)

Gold award

¥100,000/team

1-3

Silver awards

¥30,000/team

3-5

Bronze awards

¥10,000/team

3-5

Special Awards

¥5,000/team

6-10

Merit awards

¥2,000/team