The International Conference on Artificial Intelligence in Education (ICAIE) aims to be the premier global forum for the dissemination of cutting-edge research, innovative practices, and critical dialogue on the integration of Artificial Intelligence (AI) and Machine Learning (ML) in educational contexts. Our mission is to bridge the gap between theoretical AI research, practical educational applications, and policy development to foster equitable, effective, and engaging learning experiences for all.

Submission Guidelines

All papers must be original and not simultaneously submitted to another journal or conference. The following paper categories are welcome:

We accept the following types of submissions:

· Full Papers (5-10 pages): Original, significant research contributions.

· Short Papers (4-6 pages): Work-in-progress, preliminary results, or novel ideas.

· Poster & Demo Abstracts (2 pages): For presenting late-breaking results or live demonstrations of software/tools

List of Topics

• Tracks & Topics  

  We invite submissions and participation exploring AI in Education across, but not limited to, the following tracks:

  Track 1: Foundational AI & ML Technologies for Education

  · Natural Language Processing for educational content

  · Educational Data Mining and Learning Analytics

  · Knowledge Representation and Reasoning for learning systems

  · Multimodal AI (voice, video, gesture) in learning

  Track 2: Personalized & Adaptive Learning Environments

  · AI-driven learning pathways and recommendation engines

  · Intelligent Tutoring Systems (ITS) and conversational agents

  · Adaptive assessment and feedback systems

  · Learning style and engagement detection

  Track 3: AI for Assessment, Feedback, and Evaluation

  · Automated essay scoring and short answer grading

  · Formative feedback generation with AI

  · Plagiarism and authorship detection

  · Skill graph development and competency mapping

  Track 4: Ethics, Equity, and Policy for AIED

  · Mitigating bias and ensuring fairness in educational AI

  · AI for accessibility and inclusive education

  · Data privacy, security, and student ownership

  · National and institutional policies for AI in education

  Track 5: Domain-Specific Applications & Case Studies

  · AI in STEM, Humanities, and Arts education

  · AI in corporate training and professional development

  · AI in special needs education and therapeutic settings

  · Real-world implementation case studies (successes and failures)

  Track 6: The Future of Learning with Generative AI

  · Pedagogical models for integrating Generative AI tools (e.g., LLMs)

  · Prompt engineering for educational purposes

  · GenAI for content creation, simulation, and scenario building

  · Academic integrity and assessment in the age of GenAI

  Eligibility

  ICAIE is an interdisciplinary conference. We welcome:

  · Academics & Researchers: Present your peer-reviewed findings.

  · Educators & Teachers: Share your on-the-ground experiences and best practices.

  · Students (PhD, Masters, Undergraduate): Showcase your research and connect with the community.

  · EdTech Developers & Engineers: Demo your innovative products and platforms.

  · School & University Administrators: Learn about implementation strategies and institutional policy.

  · Policymakers & NGO Professionals: Engage in shaping the future of educational technology.

  · Industry Professionals: Explore AI for corporate learning and development.

Publication

Accepted full papers will be published in our Conference Proceedings (with “International Journal of Intelligent Systems and Secure Data" (P-ISSN: 3066-425X), publication guidelines are available on  https://scinovaifr.co.uk/international-journal) and will be submitted for indexing to Scopus / Web of Science.

Venue

The conference will be held through online mode 

Contact

All questions about submissions should be emailed to scinovauk@gmail.com / office@scinovaifr.co.uk or WhatsApp at +91 9011424678