Call for Submissions

Artificial Intelligence for Education invites high-quality submissions on the theories, technologies, applications, evaluation methods, and governance mechanisms of AI-enabled education.

The journal welcomes interdisciplinary work that connects artificial intelligence with educational practice, learning science, teaching innovation, assessment reform, institutional development, and social impact.

Scope of Submissions

Relevant topics include:

• AI-supported teaching and learning
• Generative AI and large language models in education
• Intelligent tutoring systems and educational agents
• Learning analytics and educational data mining
• Human–AI collaboration and co-creation in education
• Personalized, adaptive, and lifelong learning
• AI-assisted assessment, feedback, and curriculum design
• Smart classrooms and digital education platforms
• AI ethics, fairness, privacy, safety, and governance
• AI for K–12, higher education, vocational education, and lifelong learning
• Educational robotics, VR/AR, and immersive learning
• Policy, management, and institutional transformation in AI education

What We Look For

Submissions should present a clear research question, sound methodology, sufficient evidence, and meaningful educational implications. The journal especially welcomes work that combines technical innovation with educational value.

Manuscripts should clearly explain:

• The educational problem being addressed
• The AI method, system, model, or framework proposed
• The research design and evidence base
• The contribution to learning, teaching, assessment, policy, or governance
• The limitations and ethical considerations

Review and Communication

Each submission first undergoes editorial screening for scope fit, academic quality, ethical compliance, and manuscript completeness. Suitable manuscripts are then sent for double-blind peer review.