About CloudPedagogy
Developing accessible, open and affordable technology, frameworks and learning resources for education, research and responsible AI.
Developing accessible, open and affordable technology for education, research and responsible AI.
CloudPedagogy develops technologies, frameworks and learning resources that support education, research and responsible Human–AI practice.
The mission is to make useful technologies and knowledge more accessible, helping educators, researchers, professionals and organisations benefit from capabilities that might otherwise require specialist technical expertise, bespoke development or costly commercial systems.
CloudPedagogy seeks to support innovation, productivity and capability while preserving human judgement, transparency, accountability and meaningful control.
Open development is a central part of the CloudPedagogy approach.
Wherever practical, applications and technical resources are released as open-source projects so that others can inspect how they work, use them independently, adapt them to different contexts and build upon them.
This approach is intended not only to widen access, but also to encourage transparency, reuse, experimentation and further innovation. Ideas are connected to working implementations so that methods can be examined in practice rather than existing only as concepts.
Explore CloudPedagogy on GitHub
CloudPedagogy combines open development with sustainable commercial products.
Individual applications can be made openly available while commercial CloudPedagogy Studios bring complementary applications together into integrated desktop environments with coherent workflows, local-first operation, desktop file handling and a consistent user experience.
Professional learning provides another way to translate CloudPedagogy ideas, frameworks and methods into practical capability.
This model allows open resources and applications to coexist with affordable commercial products. Revenue from software and professional learning can support continued development, maintenance and the wider sharing of technology and knowledge.
CloudPedagogy is founded on the principle that advanced technology should not only be accessible to organisations with large budgets, specialist teams or extensive technical infrastructure.
By combining open-source applications, accessible frameworks, affordable software and professional learning, CloudPedagogy aims to lower practical barriers to using technology effectively in education, research and responsible AI.
The objective is not automation for its own sake. Technology should help people understand complex problems, work more effectively, develop valuable capabilities, make better-informed decisions and create systems that remain understandable and accountable.
Across its frameworks, applications, Studios and learning resources, CloudPedagogy is guided by a consistent set of principles:
CloudPedagogy brings together several forms of work rather than treating software, learning and conceptual development as separate activities.
Frameworks provide concepts and methods for understanding Human–AI capability, cognition and system design.
Open-source applications translate ideas and practical needs into inspectable working technology.
Studios integrate complementary applications into coherent desktop environments for professional use.
Courses and resources support the development and sharing of practical knowledge and capability.
Together, these activities connect research and conceptual development with practical implementation, professional learning and open dissemination.
Frameworks | Studios | Courses | Resources
Unless otherwise stated, CloudPedagogy frameworks, applications, software and resources are independently developed and are not affiliated with or representative of any employer or institution.
Jonathan Wong
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Jonathan Wong leads the design of CloudPedagogy’s Human–AI frameworks, digital learning systems, open-source tools and professional learning pathways. With over twenty years of professional experience and a background spanning engineering, data and educational technology, his work focuses on creating structured, human-centred systems that connect responsible AI, cognitive augmentation, learning design, educational publishing and practical digital innovation. His approach emphasises openness, maintainability, inspectability and meaningful human control.