
The International Conference on Artificial Intelligence and Teacher Education (ICAITE) is an annual gathering of educators and researchers exploring the intersection of artificial intelligence and teacher education. The conference is co-sponsored by Nagasaki University and Ritsumeikan University, with technical support from Capital Normal University in China and Beijing Spring Institute of Education.
This conference creates a platform for discussing new research achievements and engineering solutions that address current and emerging challenges in AI and teacher education. The event brings together academics, educators, and industry professionals to share their latest findings and practical experiences.
The conference welcomes contributions across multiple domains including software engineering, computer applications, computational intelligence, and AI techniques. Authors can submit full papers for both presentation and publication, or abstracts for presentation only. All accepted full papers undergo rigorous review processes before publication.
ICATIE has established itself as a venue for high-quality academic publishing, with previous proceedings indexed in prestigious databases. The 2024 conference proceedings were successfully included in ACM Digital Library and indexed by EI Compendex and Scopus, demonstrating the event’s scholarly credibility.
Attendees benefit from keynote presentations, technical sessions, and networking opportunities with peers from around the world. The conference environment encourages collaboration and knowledge exchange between researchers working on flexible, sophisticated solutions for educational technology challenges.