◕ Generative AI Technologies for Education

Technical innovations and applications of GAI in learning environments.

- AI-driven personalized/adaptive learning systems

- Intelligent tutoring systems (ITS) & AI chatbots for education

- Automated content generation (text, code, multimedia, etc.)

- Multimodal generative AI (text, image, audio, video) in pedagogy

- AI-owered assessment, feedback, and plagiarism detection

◕ Ethical, Social, and Policy Dimensions

Human-centered challenges and governance of GAI in education.

- Bias, fairness, and transparency in AI-generated educational content

- Privacy, security, and ethical use of student data

- Policy frameworks for AI adoption in schools and universities

- Digital equity and access to AI tools across global contexts

- Teacher/AI collaboration and changing roles in education

◕ Future Trends & Emerging Practices

Cutting-edge research and real-world implementations.

- Large Language Models (LLMs: ChatGPT, Gemini, etc.) in classrooms

- Gamification, simulations, and immersive learning with GAI

- Case studies of GAI in K-12, higher education, and corporate training

- Combating misinformation and ensuring content reliability

- Long-term impacts of GAI on curricula, pedagogy, and lifelong learning