Call for Papers

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The conference encompasses a broad spectrum of AI-Driven Education related subjects. The following list provides examples of applicable topics; however, the list is not meant to exclude other applicable areas. We invite researchers, educators, and innovators to submit their papers for the upcoming AIDE 2027 conference.

1. AI and Personalized Learning

- Adaptive Learning Systems Powered by AI

- AI in Individualized Learning Pathways

- Personalized Content Generation through AI

- AI for Student Performance Prediction and Assessment

2. AI in Curriculum Design and Instruction

- AI-Driven Curriculum Design: Challenges and Opportunities

- Leveraging AI for Smart Content and Learning Resources

- AI-Assisted Pedagogical Approaches in Education

- Integrating AI into Traditional and Online Teaching Methods

3. Intelligent Tutoring Systems (ITS)

- Development and Evaluation of AI-Powered Tutoring Systems

- AI for Real-Time Feedback and Personalized Support

- Chatbots and Virtual Tutors: Advancements and Applications

4. AI for Educational Data Mining and Analytics

- Data-Driven Decision Making with AI in Education

- AI in Learning Analytics: Predicting Student Success

- Big Data and AI: Improving Educational Outcomes

- Visualizing and Interpreting Educational Data with AI

5. AI in Educational Content Creation

- AI for Generating Interactive Learning Materials

- Using AI for Automated Assessment and Grading

- AI in the Creation of Learning Games and Simulations

- AI for Creating Accessible Learning Resources for Diverse Learners

6. Practice in AI Educational Technology

- Applications and Challenges of AI in Educational Systems

- Development of Intelligent Teaching Tools and Learning Resources

- AI-powered Educational Assessments: Intelligent Learning Feedback and Personalized Evaluations

7. AI in Teacher Professional Development

- AI for Teacher Support and Professional Growth

- AI Tools for Classroom Management and Instructional Improvement

- Intelligent Feedback Systems for Teacher Performance Evaluation

8. AI in Special Education and Inclusive Learning

- AI-Enhanced Tools for Students with Disabilities

- Assistive Technologies for Diverse Learning Needs Using AI

- AI in Cognitive and Emotional Learning for Special Education

9. Future of AI-Driven Education Systems

- The Role of AI in Future Educational Environments

- AI and Blockchain: Innovations in Credentialing and Student Records

- Virtual Reality, Augmented Reality, and AI in Education

- AI-Powered Learning Management Systems (LMS)

10. AI for Lifelong Learning and Workforce Development

- AI’s Role in Continuing Education and Adult Learning

- Lifelong Learning and Skills Development with AI Assistance

- AI for Professional Certification and Career Pathways

11. Collaborative AI: AI in Collaborative Learning and Peer Interaction

- AI in Peer Learning and Group Dynamics in Education

- Collaborative AI Models for Global Educational Networks

- AI-Powered Collaborative Learning Platforms

12. Digital Learning Environments and Platforms

- Design and evaluation of Learning Management Systems (LMS)

- Mobile learning applications and microlearning

- Virtual labs and digital collaborative spaces

- MOOCs and open learning ecosystems

- User experience (UX) and interface design for digital platforms

13. Personalized and Adaptive Learning

- AI-driven adaptive learning systems

- Learning analytics for individual progress tracking

- Personalized curriculum design using big data

- Real-time student feedback and intervention systems

- Self-paced and competency-based learning models

14. Gamification and Game-Based Learning

- Educational game design and development

- Gamified learning environments and platforms

- Motivation and engagement through game mechanics

- Assessment through game-based tasks

- Serious games for skills training and simulation