About the Journal

The Journal of Artificial Intelligence in Education & Learning Innovation (JAIELI) publishes papers concerned with the application of AI to education and learning innovation. It aims to help the development of principles for the design of computer-based learning systems. Its premise is that such principles involve the modeling and representation of relevant aspects of knowledge, before implementation or during execution, and hence require the application of AI techniques and concepts. JAIELI has a very broad notion of the scope of AI and of a 'computer-based learning system'. Coverage extends to agent-based learning environments, architectures for Artificial Intelligence in Education & Learning Innovation, statistical methods, cognitive tools for learning, computer-assisted language learning, distributed learning environments, educational robotics, human factors and interface design, intelligent agents on the internet, natural language interfaces for instructional systems, real-world applications of Artificial Intelligence in Education & Learning Innovation, tools for administration and curriculum integration, and more.

The Journal of Artificial Intelligence in Education & Learning Innovation (JAIELI) published two times a year by the CV. Rezki Media (registered with the Ministry of Law and Human Rights on July 23, 2020 with the number AHU-038612-AH).

JAIELI publishes papers concerned with the application of AI to education. It aims to help the development of principles for the design of computer-based learning systems. Its premise is that such principles involve the modelling and representation of relevant aspects of knowledge, before implementation or during execution, and hence require the application of AI techniques and concepts. JAIELI has a very broad notion of the scope of AI and of a 'computer-based learning system', as indicated by the following list of topics considered to be within the scope of JAIELI:

• AI-driven Learning Systems
• Personalized Education and Adaptive Learning
• Intelligent Tutoring Systems
• AI in Educational Assessment
• Data Analytics in Education
• Educational Robotics
• Machine Learning in Classroom Environments
• AI for Teacher Professional Development
• Ethical Considerations in AI and Education
• AI and Educational Policy Development
• AI in Education (AIED)
• Educational Data Mining
• Intelligent Educational Systems
• Machine Learning for Education
• Computer-Supported Collaborative Learning
• Mobile Learning
• Distributed Learning Technologies
• Multimodal Learning Analytics
• Intelligent Interactive Instructional Technology
• Classroom Orchestration Systems
• Knowledge Driven AI Models
• Adaptive Learning System and Technology
• Interactive Learning Environments
• E-Learning
• Digital Game-Based Learning
• Learning Analytics
• Affective Computing for Education
• Natural Language Processing for Education

We welcome contributions that propose new models, methodologies, and case studies to enhance educational practices through artificial intelligence.