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2026 2nd International Conference on Educational Technology and Artificial Intelligence(ETAIC 2026)

ETAIC 2026

Date of beginning

Friday, 24 July 2026

Duration

3 days

Deadline for abstracts

Saturday, 20 June 2026

City

Wuhan

Country

china

Contact

+86-17335783240

E-Mail

This email address is being protected from spambots. You need JavaScript enabled to view it.

Expected participants

200

Memo

Indexed by: EI Compendex, Scopus Publication Information-ACM International Conference Proceedings Series (ISBN:979-8-4007-2417-6)   About ETAIC2026 At the forefront of the global STI mega-trend, China has been creating an increasingly open STI environment, increasing the depth and breadth of academic collaboration, and building a community of innovation that benefits all. These efforts make a new contribution to globalization and the creation of a common community for the future.   The ETAIC conference aims to gather professors, researchers, scholars and industrial pioneers all over the world. ETAIC is the premier forum for the presentation and exchange of past experiences and new advances and research results in the field of Educational Technology and Artificial Intelligence. The conference welcomes contributions which promote the exchange of ideas and rational discourse between educators and researchers all over the world. The organizing committee of conference is pleased to invite prospective authors to submit their original manuscripts to ETAIC 2026.   Call for Paper Information technology Online Learning Environment Design Adaptive Learning Systems Blended Learning Models Gamified Learning Approaches Learning Assessment Tools Social Media in Educational Applications Mobile Learning Technologies Accessibility in Educational Technology Effectiveness of Instructional Videos Educational Game Design Redefining the Role of Teachers Project-Based Learning Strategies STEM Technology Integration Knowledge Sharing Platforms Programming and Robotics Education Visualization of Instructional Content Learning Management Systems (LMS) Virtual Laboratories Innovative Pedagogies and Technology Future Trends in Educational Technology Conversational AI and Natural Language Processing   Artificial Intelligence and Education Development of Intelligent Tutoring Systems Personalized Learning Pathways Natural Language Processing Applications Machine Learning and Learning Analytics Educational Robot Interaction AI-Enabled Educational Equity and Accessible Learning AI-Powered Tutoring Systems AI-Driven Assessment and Feedback Applications of Affective Computing in Education Learning Analytics Tools Ethics in Educational Data Intelligent Translation Tools Interdisciplinary Collaboration in Educational AI Virtual Teaching Assistant Applications AI in Special Needs Education Behavioral Prediction and Intervention Big Data-Driven Educational Decision Support Systems Educational Content Generation Human-Computer Interaction Experience Deep Learning and Educational Analytics Issues in Educational Equity AI in Simulated Learning Environments Intelligent Educational Technology and Digital Learning Gamification and Immersive Learning (AR/VR) Digital Twins and Smart Campus Mobile and Ubiquitous Learning AI-Generated Instructional Videos Blockchain and AI-Powered Knowledge Sharing AI-Assisted Programming Education and Computational Thinking Knowledge Graphs and AI Visualization Next-Generation LMS Integrated with Big Data Virtual and Remote Laboratories Deep Learning-Enhanced Educational Analytics AI-Augmented Online Learning AI Educational Robots Redefining the Teacher’s Role in the AI Era AI-Driven Emotion Recognition AI Learning Analytics and Predictive Modeling Big Data and AI for Educational Decision-Making AI-Enabled Multilingual Education Cross-Disciplinary AI Education Applications AI in Special and Inclusive Education Behavioral Prediction and Early Intervention Generative AI for Educational Content AI-Enhanced Human-Computer Interaction AI for Global Educational Equity AI Simulation and Digital Twin Applications in Education