Aims and Scope
J Open: EdTech and Artificial Intelligence aims to advance scholarly research and practical innovation in the integration of educational technologies and artificial intelligence within contemporary education systems.
The journal seeks to:
- analyze the transformative role of artificial intelligence and digital technologies in teaching, learning, and educational management;
- support high-quality research on innovative teaching and learning models, including technology-enhanced and AI-driven approaches;
- promote interdisciplinary studies at the intersection of pedagogy, information technology, cognitive science, data science, and educational leadership;
- contribute to the development of effective, scalable, and sustainable digital education solutions;
- foster evidence-based practices that enhance the quality, accessibility, and efficiency of education in diverse learning environments.
The journal places particular emphasis on digital transformation processes in higher education, school education, vocational training, and lifelong learning systems.
The journal welcomes original research articles, review papers, case studies, and theoretical contributions covering a wide range of topics related to educational technologies and artificial intelligence in education.
Areas of interest include, but are not limited to:
- Artificial intelligence applications in education
- Adaptive and personalized learning systems
- Intelligent tutoring systems
- Automated assessment and evaluation
- Generative AI in education (e.g., ChatGPT and AI assistants)
- Digital learning platforms and ecosystems
- Distance, online, and hybrid learning technologies
- Learning management systems (LMS) and e-learning resources
- Mobile learning (m-learning)
- Augmented reality (AR), virtual reality (VR), and virtual laboratories
- Smart learning environments
- Digital pedagogy and innovative teaching methods
- Flipped classroom, blended learning, and microlearning
- Competency-based digital education
- Instructional design and curriculum development
- Learning analytics and big data in education
- Digital assessment, monitoring, and diagnostics
- Educational quality assurance and data-driven decision-making
- International assessment studies (PISA, TIMSS, PIRLS)
- Digital governance and management in education
- EdTech policy and strategic development
- IT infrastructure in education systems
- Digital ecosystems and platforms
- Ethics of artificial intelligence in education
- Data privacy and cybersecurity in educational contexts
- Academic integrity in the age of AI
- Digital inclusion and equity in education
- Social impact of educational technologies
The journal encourages interdisciplinary and comparative research, as well as studies that provide practical implications for educators, institutions, and policymakers.