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.

 

Tashkent, Uzbekistan, October 19 – 20, 2026

Paper submission deadline: July 1st, 2026

 

Submission link：https://easychair.org/conferences/?conf=icsle2026

 

Hosted as a Hybrid (Virtual and Physical) Conference by

International Association of Smart Learning Environments (IASLE)

National Pedagogical University of Uzbekistan

Global Smart Education Network (GSENet)

In partnership with Regional Community of Practice (CoP) on Science of Learning in the Asia-Pacific (CoP SoL)

 

Tracks

 

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.

 

Author Guidelines

 

All papers must follow the conference template found on 

http://iasle.net/author-guidelines-icsle-2025/

 

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.

 

Important Dates

 

Paper submission: July 01st, 2026

Conference dates: October 19 – 20, 2026

Notification of acceptance: August 15th, 2026

Registration and Camera-ready papers: September 21st, 2026

 

Registration Fee

Regular Registration Fee

Non-students: US$400

Students: US$200