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Shaanxi Normal University, China.

ICEIT 2026 will place a special focus on educational and information technology to address multidisciplinary challenges. The event will feature oral presentations, poster presentations, workshops, keynote speeches by experts on state-of-the-art topics, and invited speeches. Our aim is to enrich the regular program with emerging topics of particular interest in the field of educational and information technology. We encourage authors to expand upon their research and share their knowledge to contribute to the collective effort to enhance educational and information technology.

Email: saraxc17@163.com

Track 1: Computer Engineering and Information Technology • Artificial Intelligence in Education • AI-driven Educational Analytics • Blockchain for Education Security • Cloud Computing in Education • Computer Application • Cybersecurity in Educational Systems • Data Science and Machine Learning in Education • Database Technology • Digital Libraries • Edge Computing for Learning Platforms • Educational Robotics Integration • Image processing • Information Systems Applications (incl.Internet) • Intelligent Tutoring Systems • Learning Management Systems (LMS) • Mobile Applications and Learning • Software Engineering • User Interfaces and Human Computer Interaction • Virtual and Augmented Reality • Virtual Classrooms and Lab Track 2: Educational Models and Methods • Personalizes learning and curricula • Active learning • Blend learning • Collaborative Learning • Community Building • Computer Appl. in Social and Behavioural Sciences • Distance Education for Computers • Education, general • Educational Technology • e-Learning • Gamification for Learning • Learning models • Life-long education • Massive Open Online Courses (MOOC) • Pedagogy Enhancement with E-Learning • Service learning • Focusing on STEM (science, technology, engineering, and mathematics) education Track 3: Inclusive Learning • Accessibility to Disabled Users • Assistive Technologies • Behavioral Problems • ICT and Dyslexic Students • Multicultural Inclusion • Students with Special Needs • AI in Inclusive Learning • Generative Artificial Intelligence in Inclusive Learning • Personalized Learning with AI • AI-based Assessment for Special Needs Students • Adaptive Learning with AI • Ethical and Social Implications of AI in Inclusive Learning • AI-enhanced Assistive Technologies • AI-driven Learning Support for Diverse Learners • AI-based Communication Support for Students with Disabilities • AI-driven Accessibility Solutions for Inclusive Learning environments

IEEE

CSTE 2026 is co-sponsored by Central China Normal University, China and IEEE, hosted by Faculty of Artificial Intelligence in Education, Central China Normal University, China. At CSTE 2026, participants will have the opportunity to engage with leading experts in education technology, and to gain insights into the latest research and best practices in the field. The conference will also provide a platform for networking and collaboration, enabling participants to build valuable connections with colleagues from around the world.

Tel.: [+86-18302820449];     Email: aimee@iacsit.net

Track 1: Educational Technologies and Systems ▪ E-learning platforms and tools ▪ Computer-supported collaborative learning ▪ Mobile and ubiquitous learning ▪ Gamification and game-based learning ▪ Virtual and augmented reality in education ▪ Adaptive learning systems ▪ Educational robotics and automation Track 2: Computer-supported Collaborative Learning and Social Computing ▪ Collaborative learning theories and models ▪ Social computing and learning ▪ Online communities and networks in education ▪ Social media in education ▪ Collaborative technologies in education ▪ Computer-supported argumentation and debate Track 3: Artificial Intelligence in Education ▪ Intelligent tutoring systems ▪ Natural language processing in education ▪ Knowledge representation and reasoning in education ▪ Intelligent educational systems and applications ▪ Smart learning environments ▪ Cognitive modelling and educational implications ▪ Emerging technologies in education ▪ Cloud computing in education ▪ Immersive learning environments ▪ Wearable technology in education