Focus and Scope

The Journal of Applied Artificial Intelligence in Education (JAAIE) is an open-access scholarly journal focusing on the practical applications of Artificial Intelligence (AI) in educational settings. It welcomes original contributions that explore the real-world implementation of AI to improve teaching, learning, and educational systems. Areas of interest include, but are not limited to:
1. Applied AI in Classroom Practice: Exploring practical AI applications in classroom teaching, including smart content delivery, virtual assistants, and automated support tools. 2. Intelligent Tutoring Systems: Investigating AI-driven systems that adapt to learners’ individual needs and provide personalized instructional support.
3. AI-Based Assessment and Feedback: Examining automated grading systems, formative assessment tools, and feedback mechanisms powered by AI. 4. Learning Analytics and Educational Data Mining: Investigating the use of AI-driven analytics and data mining techniques to analyze student learning behaviors, predict academic performance, and improve pedagogical strategies.
5. Adaptive and Personalized Learning Environments: Designing learning systems that adapt in real time based on student interaction, behavior, and performance. 6. Natural Language Processing in Education: Applying NLP techniques for language learning, automated writing evaluation, and intelligent conversational agents.
7. AI for Inclusive and Accessible Education: Leveraging AI to support diverse learners, including students with disabilities and those in underserved communities. 8. Ethics and Governance of AI in Education: Addressing issues of fairness, transparency, accountability, and data privacy in educational AI use.
9. AI-Enhanced Educational Technology Development: Innovations in EdTech tools and platforms that integrate AI for smarter learning solutions. 10. Policy, Strategy, and Implementation of AI in Education: Research on institutional frameworks, national strategies, and best practices for deploying AI in education systems.