The 14^th LTEC(2026) Conference invites educators, researchers, technologists, and policymakers to explore how Generative AI can foster inclusive, personalized, and transformative learning experiences. It seeks to examine the pedagogical, cognitive, ethical, and technological implications of AI-driven education while reimagining the roles of teachers, learners, and institutions in this new era. The 14th International Conference on Learning Technology for Education Challenges (LTEC 2026) will be held conjunction with KMO 2026. It will provide the scientific community with a dedicated forum for discussing research and presentation of your work in Learning Technology for Education Challenges (LTEC). All accepted papers will be published by Springer in the Communications in Computer and Information Science (CCIS) proceedings series, which is indexed in Scopus.

About the Conference

Conference Theme:Empowering Sustainable Learning through Generative AI

The rapid emergence of generative AI technologies has introduced unprecedented opportunities for personalized learning, pedagogical innovation, and administrative efficiency. Simultaneously, it raises critical questions related to ethics, equity, governance, environmental sustainability, and the evolving nature of human agency in learning. We welcome conceptual, empirical, theoretical, and design-based research that explores these dimensions, as well as practice-oriented work demonstrating scalable solutions. The 14^th LTEC(2026) Conference invites educators, researchers, technologists, and policymakers to explore how Generative AI can foster inclusive, personalized, and transformative learning experiences. It seeks to examine the pedagogical, cognitive, ethical, and technological implications of AI-driven education while reimagining the roles of teachers, learners, and institutions in this new era. This conference will provide the ideal opportunity to present your research to an international audience. It offers participants an overview of the current situation of education and new learning technologies. You will be able to listen to experts from different countries, representing all continents. LTEC 2026 brings together academic research and practical applications of education from all areas, seeking to bring top research and proven best practices together into one location, for the purposes of helping practitioners find ways to put research into practice, and for researchers to gain an understanding of additional real-world problems. Academic research papers, case studies and work-in-progress/posters are welcomed. We welcome researchers from both industry and academia to submit original results of their works.

If you wish to learn more about how Generative AI is influencing education, then do not miss the opportunity to come to LTEC 2026.  Come and join us in discussing how AI is transforming education and shaping the future of learning. The 14th International Conference on Learning Technology for Education Challenges (LTEC 2026) will be held conjunction with KMO 2026. It will provide the scientific community with a dedicated forum for discussing research and presentation of your work in Learning Technology for Education Challenges (LTEC).

We invite submissions addressing (but not limited to) the following themes:

Generative AI for Transformative and Sustainable Education - AI-enabled learning ecosystems and institutional innovation• Building resilient, scalable, and eco-efficient AI infrastructures

Pedagogy, Learning Design, and Assessment - Personalization, adaptive learning, and intelligent tutoring• AI-enhanced feedback, assessment integrity, and learning analytics

Human-Centering AI in Education - Teacher augmentation and professional development• Human-AI collaboration in learning environments

Ethics, Governance, and Equity - Data governance, privacy, and transparency• AI fairness, inclusivity, accessibility, and mitigation of digital divides

Global and Societal Impacts - AI literacy and future-skills education• Generative AI for SDG-aligned and culturally relevant education futures

Emerging Technologies and Future Learning Spaces - AI-enabled metaverse, immersive learning, XR and simulation platforms• Hybrid intelligence and co-creation with learners and educators

General Topics for education - Human–AI Collaboration in the Classroom• AI and Emotional Intelligence in Education• Collaborative Learning Through AI• The Metaverse• Collaboration in E-Learning• Data Analytics & Big Data in Education• Data Mining & Knowledge Discovery• Flipped Classroom and Learning• Mobile Learning• Neuroscience-Informed and Brain-Based Education• Educational Innovations and Best Practices• E-learning Analytic Approaches, Methods, and Tools• Learning and Knowledge Management• Technology Adoption and Diffusion of E-Learning• Usability in Learning Technology• Wearable Computing Technology in E-Learning• Wiki and Blogs in Higher Education• Wireless, Mobile, and Ubiquitous Technologies for Learning• Future Skills and AI Literacy• Problem-based Learning

Instruction for Authors

Papers reporting original and unpublished research results pertaining to the above topics are solicited. Full paper and all submissions deadlines are 10th February 2026. These papers will undergo an academic review process. Full paper manuscripts must be in English with a maximum length of 12 pages. All papers are blind reviewed. IMPORTANT: Please do not include the author(s) information in the FIRST submission of the paper, for double-blind review to be carried out.

All papers must be formatted according to the word template, with a maximum length of 12 pages, including figures and references for full papers.  Full paper manuscripts must follow the Springer CCIS proceedings format and be prepared using the official Springer proceedings templates (LaTeX or MS Word), available via Springer’s conference proceedings guidelines page. All proposed papers must be submitted in electronic form (WORD file) using the Paper Submission Page https://easychair.org/conferences?conf=ltec20260

Authors of selected papers from LTEC will be invited to extend and revise their papers for submission to the special issue of International Journal of Learning Technology (IJLT) published by Inderscience.

Submission of tutorial:              February 10^th, 2026

Deadline for paper submission: February 10^th, 2026

Author Notification: March 13^th, 2026

Deadline for camera-ready paper: June 3^rd, 2026

Conference dates: August 24^th–27^th, 2026