

Against the backdrop of artificial intelligence (AI) and digital technologies profoundly reshaping industries worldwide, the intelligent transformation of engineering education and digital learning have become core engines for cultivating future innovative talent. The 2027 International Conference on Intelligent Engineering Education and Digital Learning (IEEDL 2027) will be held in Guangzhou, China, from July 9 to 11, 2027. The conference aims to bring together top scholars, education experts, engineering technology professionals, and representatives from educational technology enterprises worldwide to jointly explore key challenges such as innovation in engineering education, the construction of digital learning environments, and future talent development in the intelligent era.
With the deep integration of cutting-edge technologies such as big data, virtual reality (VR), and generative artificial intelligence into educational scenarios, traditional engineering education models are facing unprecedented restructuring. Critical issues that urgently need to be addressed include how to empower practical engineering teaching with intelligent technologies, promote interdisciplinary integration, break the spatial and temporal boundaries of learning, and tackle challenges related to educational data security and algorithmic ethics.
This conference will provide an international platform for interdisciplinary and cross-field educational exchange. Through various formats including keynote speeches, oral presentations, poster sessions, and technology application demonstrations, it will promote in-depth cooperation among academia, the education sector, and industry. We look forward to participants sharing cutting-edge research findings and best teaching practices, jointly exploring strategic solutions to future educational transformations, and promoting the construction of a smart, inclusive, and sustainable new ecosystem for intelligent engineering education and digital learning.
Full Paper Submission Date: June 30 2027
Notification of Acceptance: June 30 2027
Registration Deadline: July 07 2027
Conference Dates: July 09-11 2027

Countdown to the Conference:
The topics of interest for submission include, but are not limited to:
📚︎AI and Intelligent Educational Technologies
Innovative applications of Generative AI in education
Large Language Models (LLMs) and Intelligent Tutoring Systems
Educational Data Mining and Knowledge Discovery
Machine Learning and Adaptive Learning Systems
Intelligent Assessment and Automated Feedback Technologies
Natural Language Processing and Affective Computing in Education
📚︎Immersive Technologies for Engineering Education
Applications of Virtual Reality (VR) and Augmented Reality (AR) in Education
Applications of Digital Twins in Engineering Teaching and Practical Training
Construction of Virtual Laboratories and Metaverse Educational Scenarios
Gamification and Educational Robotics
Computer-Aided Design and Simulation Teaching in Engineering Education
Deep Integration of Intelligent Technologies and STEM/STEAM Education
📚︎Digital Learning Environments and Analytics
Online Learning Platforms and Educational Information System Architecture
Learning Analytics and Learner Behavior Modeling
Mobile Learning and Ubiquitous Learning Technologies
Social Networks and Collaborative Learning Technologies
Construction of Digital Course Resources and Application of Knowledge Graphs
Educational Cloud Platforms and Edge Computing Applications
📚︎HCI and Educational Data Security
Human-Computer Interaction (HCI) and User Experience (UX) Design in Education
Inclusivity and Accessibility Technologies in Digital Learning
Educational Data Security, Privacy Protection, and Compliance Governance
Educational Blockchain Technology and Digital Certificate/Credit Certification
Trusted Computing and Algorithmic Fairness in Intelligent Education Systems
Digital Literacy and Academic Ethics in the Intelligent Era
All accepted full papers will be published in the conference proceedings and will be submitted to EI Compendex / Scopus for indexing.
Note: All submitted articles should report original research results, experimental or theoretical, not previously published or under consideration for publication elsewhere. Articles submitted to the conference should meet these criteria. We firmly believe that ethical conduct is the most essential virtue of academics. Hence, any act of plagiarism or other misconduct is totally unacceptable and cannot be tolerated.