Aims & Scope

The Journal of AI-Enabled Engineering and Technical Education (JAIEETE) is an international, peer-reviewed journal dedicated to research on the application, evaluation, and responsible use of artificial intelligence in engineering, technical, vocational, and professional education.

The journal aims to advance evidence-based research that improves teaching, learning, assessment, training, and skill development through artificial intelligence and emerging digital technologies.

Scope

JAIEETE welcomes research in areas including:

Artificial intelligence in engineering and technical education
Generative AI and large language models in education
Intelligent and adaptive learning systems
AI-supported teaching, learning, and assessment
Learning analytics and educational data mining
Automated feedback and intelligent tutoring systems
Virtual laboratories, simulations, and digital learning environments
AI-supported curriculum and instructional design
Technical and vocational education and training
AI literacy and engineering skill development
Human–AI collaboration in education
Robotics and automation for education and training
Responsible AI, ethics, fairness, and academic integrity
Evaluation of AI tools and technologies in educational settings

Interdisciplinary studies involving engineering, computing, robotics, automation, data science, and educational technology are welcome when they make a clear contribution to education, training, learning, or professional skill development.

Out of Scope

Manuscripts focused solely on artificial intelligence algorithms, engineering systems, or technical applications without a clear educational or training contribution are outside the scope of JAIEETE.