The 2nd Cyber-Physical Learning Alliance Summit, 2025

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About CPLAS 2025

The 2nd Cyber-Physical Learning Alliance Summit (CPLAS 2025) will bring together researchers, faculty members, industry professionals, and decision-makers from around the world to explore evolving practices and innovations in cyber-physical learning (CPL). Hosted by the Hong Kong University of Science and Technology (HKUST), CPLAS 2025 aims to foster international collaboration, share cutting-edge practices, and push the boundaries of CPL.

This year’s theme, "Connecting Minds, Technology, and Learning Spaces", will focus on pivotal topics including Artificial Intelligence, Learning Analytics, Human-Centric Learning, Engagement in Immersive Learning, and the Ethics of CPL. Attendees will have the opportunity to participate in collaborative workshops, design-thinking sessions, immersive learning activities, and discussions, all aimed at enhancing the understanding and impact of CPL in educational contexts.

Organized by the Cyber-Physical Learning Alliance (CPLA), which was founded in 2023 with current members including Aalto University (Finland), Bentley University (USA), Hong Kong University of Science and Technology (Hong Kong), NEOM University (Saudi Arabia), Singapore University of Technology and Design (Singapore), Tecnológico de Monterrey (Mexico), The University of Ottawa (Canada), and Zhejiang University (China), CPLAS 2025 will serve as a key platform for advancing CPL research and implementation.

The summit will be held in person at the Hong Kong University of Science and Technology on June 4th and 5th, 2025.

Topics:

Data-Driven Education
Artificial Intelligence in Education
Innovative Learning Spaces
Synchronous Seamless Learning
Human-Centered and Ethical Cyber-Physical Learning
Engagement in Immersive Learning and Extended Reality

About CPLA

The Cyber-Physical Learning Alliance (CPLA) is a collaborative network of educational institutions dedicated to advancing cyber-physical learning through innovative technologies and pedagogies. CPLA focuses on areas like cyber-physical learning technology, educational models, ethics, learning analytics, and AI-assisted education.

About HKUST

The Hong Kong University of Science and Technology (HKUST) is a world-class university renowned for its innovative education, research excellence, and impactful knowledge transfer. Since its founding in 1991, HKUST has quickly risen in global rankings, establishing itself as a leading institution in Asia and beyond. With a holistic, interdisciplinary approach to education, HKUST was ranked 3rd in Times Higher Education’s Young University Rankings 2024.

At the heart of HKUST is a diverse and vibrant community of scholars and students. Home to a diverse and vibrant community of scholars and students, HKUST is committed to addressing global challenges and nurturing future leaders. Its scenic campus on the Clear Water Bay peninsula offers cutting-edge facilities that foster a collaborative environment, encouraging curiosity, critical thinking, and creativity. Dedicated to advancing knowledge and tackling some of the world’s most pressing issues, HKUST equips its students and researchers with future-ready skills and a global perspective, empowering them to shape a better world.

About CEI

The Center for Education Innovation (CEI) at HKUST is dedicated to advancing excellence in teaching, learning, and curriculum development across the university. Through collaborative partnerships with Schools and Departments, CEI serves as an expert resource and advocate for evidence-based, active learning and teaching practices that foster holistic student development in a technology-driven world.

Aligned with the university’s mission, CEI builds the capacity of teaching staff to integrate innovative pedagogies and emerging technologies, such as AR, VR, AI, and eLearning strategies, that enrich the student experience. Through professional development programs for faculty, instructors, and graduate teaching assistants, CEI supports educators in refining their teaching methods to enhance student learning outcomes and advance their career goals.

Call for Abstract

About

Welcome to the Cyber-Physical Learning Summit, an immersive platform for exploring the evolving intersection of technology and pedagogy in higher education. This year’s theme, "Connecting Minds, Technology, and Learning Spaces", invites educators, researchers, and thought leaders to share insights and innovations that shape the future of learning.

As cyber-physical systems become integral to educational practices, we invite you to contribute to discussions on how these systems can foster immersive, adaptive, ethical, and human-centered learning experiences. We encourage abstract submissions that address emerging trends, transformative practices, and critical challenges across topics such as learning analytics, the impact of artificial intelligence, immersive learning, and personalized, skill-based education.

Join us in building a future-ready learning landscape by sharing your research, insights, and practical strategies at this engaging, collaborative event.

Sub-Themes

1. Data-Driven Education

This subtheme explores the transformative role of data in education, focusing on how analytics, real-time feedback, and predictive insights can personalize learning and enhance teaching effectiveness. Topics include ethical data practices, adaptive learning, and using data to inform decision-making, creating responsive, evidence-based educational environments that drive student success.

2. Artificial Intelligence in Education

This subtheme examines how AI is reshaping educational practices, from enhancing instructional methods to improving learning outcomes. It covers AI-driven personalization, automation in assessment, intelligent tutoring systems, and ethical considerations, focusing on both the transformative potential and challenges AI brings to teaching and learning environments.

3. Innovative Learning Space

This subtheme explores the design and utilization of physical and digital learning environments that enhance engagement, flexibility, and collaboration. It examines how adaptable, technology-enabled spaces can support diverse teaching approaches, foster active learning, and accommodate various learning styles, creating environments that inspire creativity and interaction in educational settings.

4. Synchronous Seamless Learning

This subtheme focuses on creating fluid, real-time learning experiences that bridge in-person and virtual environments. It explores strategies for achieving continuity and engagement in hybrid and remote settings, leveraging technology to support live interaction, collaborative activities, and a cohesive learning experience that transcends physical boundaries.

5. Human-Centered and Ethical Cyber-Physical Learning

This subtheme focuses on integrating technology in education with a human-centered, ethical approach. It addresses inclusive design, ethical data practices, and the balance between automation and personal interaction, ensuring that cyber-physical systems respect privacy, promote equity, and prioritize learners' well-being in tech-enhanced environments.

6. Engagement in Immersive Learning and Extended Reality

This subtheme explores the role of immersive technologies, such as Extended Reality (XR), in enhancing learner engagement and interaction. It examines how VR, AR, and mixed reality create experiential learning opportunities, deepen understanding, and foster active participation, transforming traditional learning into dynamic, hands-on experiences across disciplines.

Abstract Submission Requirements

All abstracts must be submitted and presented in English.
Abstracts should be based on any of Summit’s subthemes
Abstracts should be 400-500 words in length and follow the Need-Based Approach.

Context and Need: Description of what is known and the identified need
Approach: Details of the intervention or study design
Significance: Implication or contributions of the study to the field

Abbreviations should be defined the first time they appear in your text. Abbreviations should neither be defined nor used in the abstract title.
Tables, charts or other graphics should not be included and will be disregarded by the reviewers.
All submissions will undergo a double-blind peer review process. Authors should ensure that their submissions are anonymized. Each submission will be reviewed by at least two experts in the field.
If you encounter any problems during the submission process or you do not receive any confirmation by email, please contact cplas2025@ust.hk

Abstract Submission Requirements

Submission of Abstract ----- 15 February 2025 (Abstract Submission Closed)Submission of Abstract
15 February 2025 (Abstract Submission Closed)
Notification of Abstract Acceptance ----- 31 March 2025Notification of Abstract Acceptance
31 March 2025
Final Version of Abstract Due ----- 15 April 2025Final Version of Abstract Due
15 April 2025

Presentation Guidelines

Oral Presentation Requirement: Author(s) are required to deliver an oral presentation of their work during the Summit.

Language: All presentations must be prepared and delivered in English. Arrival Time: Presenters should arrive at their assigned venue at least 15 minutes before the start of their session. Information about venues and session schedules will be available on the Summit website once finalized.

Presentation Duration: Each oral presentation is allocated 15 minutes, followed by a 5-minute Q&A session.

Venue Equipment: All presentation venues are equipped with modern digital A/V systems, a presentation PC, and a microphone. Presenters using their own devices should allow sufficient time for setup.

Registration

Registration Type	Early Bird (by 30 April 2025)	Regular (from 1 May 2025)
Author	HKD750
Participant	HKD750	HKD1,000
Full-time student	HKD200 (without networking lunch)

All registration fees are quoted in Hong Kong Dollars (HKD) for one participant only.
The registration fee includes lunch on the first day (4 June 2025).
All confirmed registrations and all payments are non-transferable and non-refundable.
Accepted payment methods are Visa, MasterCard, Alipay and WeChat Pay.

Keynotes & Speakers

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Program

Download the Rundown and the Map

10 June 2025 @ 09:15 – 17:40
08:45-09:15	Registration @ LT-A Concourse
09:15-09:30	Welcoming and Opening Address Prof. Nancy IP, President, HKUST Prof. John LEE, President, EdUHK Prof. Jimmy FUNG, Associate Provost (Teaching and Learning), HKUST
09:30-09:40	Souvenirs Presentation and Photo-taking
KEYNOTE SPEECHES @ LT-A
09:40-10:30	Keynote 1 – Maximising Human Intelligence through Wise Collaboration with AI Prof. Rose LUCKIN, University College of London
Morning Coffee and Networking
10:50-11:40	Keynote 2 – Interpretable Machine Learning Technologies for Personalized Learning Prof. Aimin ZHOU, East China Normal University
CONCURRENT SESSIONS @ 6/F
	Theme 1 @ Room 6602 (via Lift 31-32) Challenges and Opportunities of AI in Higher Education and Vocational Training Theme 2 @ Room 6591 (via Lift 31-32) AI-Enhanced K-12 Education: Challenges and Potential Theme 3 @ Room 6573 (via Lift 27-28) Learning Outcomes and AI-Driven Assessments Theme 4 @ Room 6558 (via Lift 27-28) Innovating Curriculum and Pedagogy through AI
11:50-12:10	Exploring the Future: How AI is Transforming Higher Education Dr. Margarita PAVLOVA, EdUHK A Learning and Teaching Framework Using Generative Artificial Intelligence in K-12: Opportunities and Challenges Prof. Siu Cheung KONG, EdUHK Incorporating AI Tools & Reflection Videos in Creative Sound Design & Computer Music Prof. Andrew HORNER, HKUST AI Literacy through Social Entrepreneurship Dr. Jack TSAO, HKU
12:10-12:30	SUTD campusX: Addressing the Changing Landscape of AI in Education Dr. Kenneth LO, SUTD Maintaining Assessment Integrity in an Age of Artificial Intelligence Mr. Kevin HOYE, ISF Assessing ChatGPT’s Impact on English as a Foreign Language Writing: Integration Strategies and Feedback Effectiveness Dr. Di ZOU, LNU AI-Powered Design Thinking in Action Dr. Jac LEUNG and Miss Aki LEUNG, HKUST
12:30-12:50	GenAI's Impact on Law Schools and the Legal Profession - a Year 1 Review Prof. Brian TANG, HKU Practice and Experience in AI Literacy for K-12 Education Prof. Erwin HUANG, HKUST Pre-Grading Essays via Generative AI Prof. Joon Nak CHOI, HKUST Empowering Minds: Designing and Implementing an AI-Infused General Education Interdisciplinary Course Dr. Gary CHENG, EdUHK
Networking Lunch @ China Garden, G/F
KEYNOTE SPEECHES @ LT-A
14:15-15:05	Keynote 3 – Empowering Citizens for a Life with AI: Challenges and Opportunities for Education Prof. Maarten de LAAT, University of South Australia
15:05-15:55	Keynote 4 - Beyond AI Literacy to Understanding Ourselves as Learners with Machines Prof. Jason LODGE, The University of Queensland
Afternoon Coffee and Networking
Open Forum @ LT-A
16:15–17:30	Open Forum - The Classroom of the Future: Realities, Potentials, and Ethical Considerations of AI-Enhanced Education This forum is dedicated to exploring the transformative landscape of future classrooms by examining how generative artificial intelligence is revolutionizing established educational paradigms and learning methods. As we await the full scope of AI's disruptive potential, this event serves as a critical gathering point for stakeholders from all educational settings—from higher education to K-12 and from teachers to policymakers. Attendees will engage in vital discussions about classroom futures, covering a range of topics from AI literacy and human-AI collaboration to ethical issues and corporate impact Focus of the Forum: AI Literacy and Readiness: Equipping teachers and students in higher education and K-12 for a future infused with AI technologies. Human-AI Collaboration: Investigating the opportunities and complexities of combining human cognition with machine intelligence. Metacognitive Awareness: Exploring how AI may facilitate deeper self-awareness during self-regulated learning activities. Ethical Considerations: What educators need to know about the ethical implications of implementing AI tools in the classroom. Corporate Influence: Examining tech companies' roles and responsibilities in the development and deployment of AI in educational settings. Panel Members: Prof. Rose LUCKIN, UCL Ms. Rachel CHAN, Esperanza Prof. Brian TANG, HKU Prof. Ming Ming CHIU, EdUHK Mr. Stanley Wai Ming KAM, HKSKH Bishop Hall Secondary School Facilitator: Dr. Sean McMINN, HKUST
17:30–17:40	Closing Remarks Dr. Sean McMINN, HKUST Prof. Chee Kit LOOI, EdUHK

Organizer

Steering Committee

Dr. Sean McMinn
Director, Center for Education Innovation,
Hong Kong University of Science and Technology

Prof. Vassilios Tourassis
Vice President for Global Partnerships and Strategic Initiatives - Education, Research and Innovation Sector,
NEOM University

Dr. Héctor G. Ceballos
Head of Living Lab and Data Hub, Institute for the Future of Education,
Tecnologico de Monterrey

Prof. Kevin Kee
Dean, Faculty of Arts,
University of Ottawa

Prof. Tomi Kauppinen
Head of Aalto Online Learning,
Aalto University

Dr. Kenneth Lo
Director, Office of Digital Learning, Campus X,
Singapore University of Technology and Design

Dr. Luis Fernando Morán Mirabal
Living Lab Leader,
Tecnologico de Monterrey

Prof. Zhang Kejun
Professor, College of Computer Science and Technology,
Zhejiang University

Dr. Suzanne Dove
Executive Director, the Badavas Center for Innovation in Teaching and Learning,
Bentley University

Dr. Antonio Alberto González Grez
Living Lab Collaborations and Diffusion Coordinator,
Tecnologico de Monterrey

Prof. Andrew Sowinski
Vice-Dean, Programs, Faculty of Engineering,
University of Ottawa

Organizing Committee

Prof. Jimmy Fung
Associate Provost (Teaching & Learning), Provost Office,
Hong Kong University of Science and Technology

Dr. Beatrice Chu
Head, Professional Development, Center for Education Innovation,
Hong Kong University of Science and Technology

Dr. Sean McMinn
Director, Center for Education Innovation,
Hong Kong University of Science and Technology

Ms. Tammy Sha
Senior Manager, Center for Education Innovation,
Hong Kong University of Science and Technology

Ms. June Chan
Head, Technology-enhanced Teaching, Center for Education Innovation,
Hong Kong University of Science and Technology

Dr. Nachamma Sockalingam
Assistant Director (Learning Sciences, campusX), SUTD Academy,
Singapore University of Technology and Design

Working Committee

Dr. Beatrice Chu
Head, Professional Development, Center for Education Innovation,
Hong Kong University of Science and Technology

Ms. Quianne Tsang
Senior Multimedia Design Officer, Center for Education Innovation,
Hong Kong University of Science and Technology

Ms. Tammy Sha
Senior Manager, Center for Education Innovation,
Hong Kong University of Science and Technology

Mr. Dickie Hung
Assistant Manager, Center for Education Innovation,
Hong Kong University of Science and Technology

Mr. Eric Yeung
Senior Officer (Educational Evaluation), Center for Education Innovation,
Hong Kong University of Science and Technology

Accommodation

Recommended Hotels

We are excited to host CPLAS2025 in Hong Kong!

The summit will take place in Clear Water Bay, conveniently located near Sai Kung, Kwun Tong and Tseung Kwan O. A variety of accommodation options can be found in these districts, providing attendees with easy access to local attractions and amenities.

A selection of hotels offering special rates for delegates attending CPLAS2025 will be listed below. Please note that accommodation bookings must be made directly with the hotel of your choice, separate from your conference registration.

Currency Conversion
Please be aware that currency exchange rates may cause variations in the rates quoted in HKD, depending on your home currency.

Hotel	Booking Information	Directions To/From HKUST
WM Hotel 28 Wai Man Rd, Sai Kung Contact: (+852) 2196 6888 Website: https://www.wmhotel.hk/	Special rate from 2 - 8 June, 2025 Please fill in the booking form and email to (Reservation) Rsvn@wmhotel.hk / (Sales) Sunnyliu@wmhotel.hk	Distance: ~7.9km (Approx. 15mins by Taxi) Suggest Direction
Holiday Inn EXPRESS Hong Kong Kowloon CBD2 How Ming Street 97, Kwun Tong Contact: (+852) 3890 2888 Website: https://www.ihg.com/holidayinnexpress/hotels/us/en/hong-kong/hkgkk/hoteldetail	Special rate from 3 - 6 June, 2025 Please reserve via this link with special rate Cancellation Policy/ Guarantee: - Full- room payment will be settled once booking confirmed under guest own account. - Non- refundable, No cancellation and No amendment is allow once booking confirmed.	Distance: ~10.3km (Approx. 17mins by Taxi) Suggest Direction
Nina Hotel Kowloon East 38 Chong Yip Street, Kwun Tong Contact: (+852) 3968 8666 Website: https://www.ninahotelgroup.com/en/nina-hotel-kowloon-east	Special rate from 3 - 6 June, 2025 Please reserve via this link with special rate	Distance: ~9.8km (Approx. 16mins by Taxi) Suggest Direction
Dorsett Kwun Tong, Hong Kong 84 Hung To Road, Kwun Tong Contact: (+852) 3989 6888 Website: https://www.dorsetthotels.com/dorsett-kwun-tong/	Special rate from 3 - 6 June, 2025 Please email or fax back the completed booking form to Ms. Sally Wong sally.wong@dorsetthotels.com & copy to reservation.kwuntong@dorsetthotels.com Or via Fax no.: (852) 3989 698 The confirmation number and payment link will be provided upon receipt of the completed reservation form. Reservation should be made on or before 13 May, 2025.	Distance: ~9.7km (Approx. 16mins by Taxi) Suggest Direction
Hotel COZi ‧ Harbour View 163 Wai Yip St, Kwun Tong Contact: (+852) 3766 8668 Website: https://www.hotelcozi.com/harbourview	Special rate from 3 - 6 June, 2025 Please reserve with special rate via 1. This link, or 2. Promo Code: USTCEI Reservation should be made on or before 13 May, 2025. Cancellation Policy: - Non-refund, full paid via hotel website once make reservation from the guests directly	Distance: ~9.6km (Approx. 15mins by Taxi) Suggest Direction
Crowne Plaza Hong Kong Kowloon East 3 Tong Tak St, Tseung Kwan O Contact: (+852) 3983 0388 Website: https://crowneplazatkoshop.com/en	Please find the booking details in the offcial website.	Distance: ~6.0km (Approx. 12mins by Taxi) Suggest Direction

About CPLAS 2025

About CPLA

About HKUST

About CEI

About

Sub-Themes

1.

Data-Driven Education

2.

Artificial Intelligence in Education

3.

Innovative Learning Space

4.

Synchronous Seamless Learning

5.

Human-Centered and Ethical Cyber-Physical Learning

6.

Engagement in Immersive Learning and Extended Reality

Abstract Submission Requirements

Abstract Submission Requirements

Presentation Guidelines

Registration

Program

10 June 2025 @ 09:15 – 17:40

KEYNOTE SPEECHES @ LT-A

Morning Coffee and Networking

CONCURRENT SESSIONS @ 6/F

Networking Lunch @ China Garden, G/F

KEYNOTE SPEECHES @ LT-A

Afternoon Coffee and Networking

Open Forum @ LT-A

Steering Committee

Organizing Committee

Working Committee

Recommended Hotels