About the Journal

Aims and Scope

The International Journal of Educational Technologies and Artificial Intelligence (IJETAI) is a peer-reviewed, biannual online publication dedicated to advancing research at the intersection of educational technology and artificial intelligence. The journal serves as a scholarly platform for academics, educators, researchers, practitioners, and policymakers to explore the design, development, and implementation of AI-driven technologies in educational settings. It aims to foster a deeper understanding of how emerging AI tools and methodologies can enhance learning experiences, optimize instructional strategies, and address contemporary challenges in education. Additionally, IJETAI welcomes research on the educational impact of AI systems and tools developed specifically for educational applications, assessing their effectiveness and potential in diverse learning environments.

IJETAI is committed to publishing high-quality original research that contributes to theoretical and practical advancements in educational technology. The journal particularly welcomes studies that examine the integration of artificial intelligence into online learning, distance education, adaptive learning environments, and open educational resources. By facilitating scholarly dialogue, IJETAI seeks to bridge the gap between AI innovation and pedagogical practice, offering evidence-based insights and critical analyses of the evolving role of AI in education.

The journal accepts empirical research employing qualitative, quantitative, and mixed methodologies, as well as theoretical and review articles. Submissions should focus on the application, evaluation, and impact of AI in education, ensuring broad coverage of diverse educational settings and learner needs across all levels of education, from kindergarten to adult and lifelong learning. Articles must be written in English and align with the journal’s author guidelines.

Scope

IJETAI publishes research across a wide range of topics related to artificial intelligence and educational technology, including but not limited to:

  • AI-Enhanced Learning Environments: Development and evaluation of AI-powered adaptive learning systems, intelligent tutoring systems, and personalized educational technologies.
  • Instructional Design and Pedagogical Strategies: Theoretical and methodological advancements in instructional design, curriculum innovation, and AI-driven pedagogy.
  • Learning Analytics and Cognitive Computing: Application of AI to analyze learner behavior, cognitive development, and data-driven decision-making in education.
  • Ethical and Social Implications of AI in Education: Critical analyses of bias, fairness, privacy, and the broader ethical considerations of AI integration in learning environments.
  • Emerging Technologies in Education: Exploration of augmented and virtual reality, educational robotics, natural language processing, and other AI-driven innovations in teaching and learning.
  • AI in Assessment and Evaluation: Development of automated assessment tools, AI-based feedback mechanisms, and their impact on student learning outcomes.
  • Policy and Future Trends in AI Education: Examination of national and international research initiatives, policy implications, and the future landscape of AI in educational contexts.
  • Educational Impact of AI Systems and Tools: Investigations into how AI-driven educational applications influence teaching methodologies, learning outcomes, and engagement across different educational levels.
  • AI in Education and Ethics: Examination of the ethical challenges posed by AI in education, including issues of transparency, accountability, data security, and the potential biases in AI-driven learning environments.
  • Human-AI Interaction in Education: Research on the dynamics of interaction between learners, educators, and AI systems, focusing on user experience, adaptability, and the role of human-centered AI in enhancing educational outcomes.

IJETAI welcomes interdisciplinary perspectives and encourages submissions that provide innovative solutions, conceptual advancements, and empirical findings that contribute to the evolving discourse on AI in education. All submissions are rigorously reviewed, and authors must adhere to the journal’s submission guidelines. Papers that do not meet the outlined criteria will be returned without review.

By publishing cutting-edge research twice a year (June & December), IJETAI aims to be a leading academic resource for those seeking to understand and shape the future of artificial intelligence in education.