As a technical gathering, AILT 2027 serves as a platform for presenting and deliberating on the latest theoretical advancements and technological innovations in AI-driven learning technologies. We sincerely invite authors worldwide to submit their original research works to the conference. All the accepted papers will be included in the conference proceedings, and will be sent to EI Compendex and Scopus for indexing.
Topics include but to limited to:
1. Artificial Intelligence and Educational Foundations
Fundamental theories and ethical frameworks of educational AI
Machine learning and educational data mining
Natural language processing and intelligent dialogue in education
Computer vision and classroom behavior analysis
Knowledge graphs and educational reasoning technology
Knowledge graphs and adaptive learning
Federated learning and educational data privacy preservation
Neural networks, deep learning and cognitive computing
Intelligent algorithms and personalized learning modeling
emotional computing and learning emotional recognition
2. Intelligent Learning Environments and Core Systems
Adaptive and personalized learning systems
Intelligent tutoring systems and pedagogical agents
Mixed reality (AR/VR) and immersive learning environments
Human-robot interaction and behavior modeling in educational robotics
Smart classrooms, IoT education system, and digital twin learning spaces
Generative AI (AIGC) for learning content and tool creation
3. Data-Driven Educational Analysis, Assessment, and Decision-Making
Learning analytics and educational big data
Multimodal learning behavior modeling and academic prediction
AI-enabled educational assessment and real-time feedback
Educational data visualization and instructional decision support
Text mining and educational content generation
Learning path planning and intelligent recommendation systems
4. Application and Practice of Educational Intelligence
AI innovation cases in K-12, higher education, and lifelong learning
AI integration in STEM/STEAM, language learning, and vocational training
Intelligent assistive technologies for special and inclusive education
Gamification, immersive learning, and engagement design
Teacher-AI collaborative teaching and evolving roles
AI solutions for global educational equity and digital accessibility
5. Frontiers of Educational Technology and System Construction
Next-generation EdTech platforms and technology architecture
Blockchain and trusted data governance in education
Blockchain and AI in education
Educational cloud computing, edge computing, and high-performance computing
Computer-supported collaborative learning (CSCL) and large-scale human-AI collaboration
Open educational resource ecosystem and AI-enhanced knowledge management
Smart education hardware and wearable devices
IMPORTANT DATES
Paper Submission Deadline: September 30, 2026
Acceptance Notification: October 31, 2026
Revision Submission and Registration: November 30, 2026
Main Event: January 8-10, 2027
SUBMISSION GUIDELINES
-Authors must make sure that their submissions do not substantially overlap work which has been published elsewhere or simultaneously submitted to a journal or another conference with proceedings.
-All submitted papers should be within the FOI of this conference.
-The submission file is in Microsoft Word, PDF, or WordPerfect document file format.
-All URL addresses in the text (e.g., http://pkk.suu.ca) are activated and ready to click.
-All submitted papers should be written in English with a maximum paper length of eight printed pages including figures and references without incurring additional page charges.
-All submitted papers shall be sent to the conference email address: ailt@acamail.org.
-All submitted papers must be prepared based on the given Paper Template.
REVIEW POLICY
The review process at AILT 2027 is double-blind. Each submission is anonymously reviewed by an average of two independent reviewers, to ensure the final high standard and quality of each accepted submission. The technical program committee will perform a shrinking process for the submitted paper about the scope and tracks of the conferences prior to the review process. AILT 2027 guarantees that the entire peer review and publication process is meticulous and objective. Furthermore, all works not in accordance with these standards will be removed from publication if malpractice is revealed at any time even after the publication.
REVIEW CRITERIA
Reviewers evaluate the submitted paper based on the following criteria:
- Originality of the paper
- Theoretical contribution
- Innovation of the paper
- Accuracy of the method
- Discussion of the results
- Paper presentation and clarity
- Literature reviews of the related works
- Follows appropriate ethical guidelines
ACCEPTANCE OF THE MANUSCRIPT
Reviewers will send the suggestions/comments to the editor, who is responsible for the final decision to accept or reject the article.