CPLAS 2025
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 by leading institutions, including Aalto University (Finland), Bently University (United States), Hong University of Science and Technology (Hong Kong), NEOM University (Saudi Arabia), Singapore University of Technology and Design (Singapore), Tecnológico de Monterrey (TEC, Mexico), The University of Ottawa (Canada), and Zhejiang University (ZJU, 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
HKUST
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CEI
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Call for Abstract
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
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
Requirements
- All abstracts must be submitted and presented in English and follow the ACM proceedings format.
- 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
Dates | |
Submission of Abstract | 31 Janaury 2025 |
Notification of Abstract Acceptance | 31 March 2025 |
Final Version of Abstract Due | 15 April 2025 |
Registration
Registration Type | Early Bird (25% off on or before 31 March 2025) | Regular (after 31 March 2025) |
Participant | HKD750 | HKD1,000 |
Full-time students | 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.
Streeing Committee
Dr. Sean McMinn, Director, Center for Education Innovation, Hong Kong University of Science and Technology | |
Dr. Kenneth Lo, Director, Office of Digital Learning, Campus X, Singapore University of Technology and Design | |
Prof. Vassilios Tourassis, Vice President for Global Partnerships and Strategic Initiatives - Education, Research and Innovation Sector, NEOM University | |
Prof. Tomi Kaippinen, Head of Aalto Online Learning, Aalto University | |
Prof. Kevin Kee, Dean, Faculty of Arts, University of Ottawa | |
Prof. Andrew Sowinski, Vice-Dean, Programs, Faculty of Engineering, University of Ottawa | |
Dr. Héctor G. Ceballos, Head of Living Lab and Data Hub, Institute for the Future of Education, Tecnologico de Monterrey | |
Dr. Luis Fernando Morán Mirabal, Living Lab Leader, Tecnologico de Monterrey | |
Dr. Antonio Alberto González Grez, Living Lab Collaborations and Diffusion Coordinator, Tecnologico de Monterrey | |
Prof. Zhang Kejun, Professor, College of Computer Science and Technology, Zhejiang University |
Organizing Committee
Prof. Jimmy Fung, AP(T&L), HKUST | |
Dr. Sean McMinn, Director, Center for Education Innovation, HKUST | |
Dr. Beatrice Chu, Head of Professional Development, Center for Education Innovation, HKUST | |
Ms. Tammy Sha, Senior Manager, Center for Education Innovation, HKUST | |
Mr. Eric Yeung | |
Ms. Quianne Tsang | |
Mr. Dickie Hung |