“The Design and Development of Future Learning Environments”
Tashkent, Uzbekistan, October 19 – 20
The International Conference on Smart Learning Environments (ICSLE 2026) aims to bring together researchers, practitioners, and policy makers to discuss how the rapid evolution and changing landscape of learning environment is shaping learning and teaching, and how to develop effective educational ecosystems that could contribute to improvement in learning experiences and outcomes. Various components of this interplay include but are not limited to:
Track 1: Educational technology grounded in science of learning — How science of learning and learning principals inform the design and development of educational technology. Also, how educational technology, such as learning analytics and artificial intelligence, contribute to science of learning.
Track 2: Pedagogy, learning approaches and instructional design. This includes approaches informed by theory, human or artificial intelligence, including game-based learning, gamification, inquiry-based learning, simulation, and work-integrated learning. Relevant topics include instructional design models, technology-enhanced teaching strategies, and practices that support active, experiential, and personalized learning across contexts.
Track 3: Human-machine collaboration, human dynamics and agency in the AI era. This includes all topics about how humans interact or collaborate with each other, with computers, AI, or intelligent machines at large. It also includes human-(ro)bot collaboration, avatars, digital twins, and the metaverse. Relevant issues of synergy in education — policies, applications, case studies, and best practices of domain-specific / subject-specific smart learning — are also included.
Track 4: Digital, machine and AI ethics in education — this includes ethical frameworks, guidelines, and policies for the responsible use of digital technologies and AI in education. Topics include general and generative AI ethics, teaching ethics in curricula, data privacy, algorithmic transparency, and the development of human-centered, inclusive, and accountable AI systems in learning environments.
Track 5: Smart school and digital campus—This track explores how AI is reimagining the forms, functions, and learning experiences of future schools in the intelligent age. It also examines how digital campuses can provide a systematic foundation for school transformation through standards-based planning, infrastructure, platforms, data governance, and service systems. Together, the track highlights both the future vision of schooling and the practical pathways for building high-quality, future-ready educational environments.
Important Dates
Paper submission deadline: July 01st, 2026 July 17th,2026
Notification of acceptance: August 15th, 2026
Registration and Camera-ready papers: September 21st, 2026
Conference dates: October 19 – 20, 2026
All accepted papers will be included in the conference proceedings published under Springer’s Lecture Notes in Educational Technology (LNET) series (https://www.springer.com/series/11777), which is Scopus indexed.
Registration fee
Regular Registration Fee:
| Non-students | Students |
| US$ 400 | US$ 200 |
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