About the Journal

The International Journal of Artificial Intelligence, Educational Technologies and Teacher Education (IJAIET) is an international, interdisciplinary, peer-reviewed, open-access scholarly journal dedicated to publishing high-quality original research investigating the intersections of Artificial Intelligence (AI), Educational Technologies, pedagogical innovation, teacher education, and multiple fields of knowledge.

The journal recognizes Artificial Intelligence as one of the most significant scientific, technological, and societal transformations of the twenty-first century, with profound implications for teaching, learning, research, educational management, and knowledge production. Within this context, IJAIET provides an international forum for disseminating research that critically examines the challenges, opportunities, implications, and emerging developments associated with Artificial Intelligence and digital technologies across primary and secondary education, vocational and professional education, higher education, and continuing education and professional development.

As an interdisciplinary journal, IJAIET welcomes research from all major fields of knowledge, provided that submissions establish a substantive connection with education, learning and professional development, technological innovation, digital transformation, or the development of competencies required in contemporary society. Particular emphasis is placed on studies that foster integration across disciplinary boundaries and contribute to the advancement of knowledge through interdisciplinary, multidisciplinary, and transdisciplinary approaches.

The journal encourages research examining the development, implementation, evaluation, and impact of Artificial Intelligence in educational contexts, including pedagogical, technological, ethical, social, legal, psychological, economic, and cultural dimensions. Areas of particular interest include AI governance, data protection and privacy, research integrity, responsible AI, personalized learning, Learning Analytics, Intelligent Tutoring Systems (ITS), immersive technologies, Virtual Learning Environments (VLEs), active learning methodologies, and innovative technology-enhanced educational practices.

Initial and continuing teacher education constitutes one of the journal’s core areas. IJAIET therefore encourages research on teachers’ digital competence, Artificial Intelligence literacy (AI literacy), professional development, innovative learning experience design, curricular integration of educational technologies, and the impact of digital transformation on pedagogical practices and the teaching profession.

Beyond pedagogical dimensions, the journal welcomes studies addressing educational public policy, innovation management, institutional planning, educational assessment and evaluation, internationalization of education, Open Science, inclusive education, digital accessibility, blended and hybrid learning, distance and online education, sustainability, diversity, equity, and inclusion, particularly where these topics intersect with Artificial Intelligence and Educational Technologies.

The International Journal of Artificial Intelligence, Educational Technologies and Teacher Education (IJAIET) seeks to establish itself as an international forum of scholarly excellence for researchers, educators, educational leaders and administrators, policymakers, practitioners, and specialists across different fields of knowledge committed to understanding, critically examining, and shaping emerging educational paradigms in the age of Artificial Intelligence.

 

THEMATIC AREAS

The journal publishes scholarly work addressing, but not limited to, the following areas:

Artificial Intelligence in Education

  • Artificial Intelligence in teaching and learning;
  • Generative Artificial Intelligence (Generative AI);
  • Intelligent Tutoring Systems (ITS);
  • Intelligent agents;
  • Educational chatbots and conversational agents;
  • Large Language Models (LLMs);
  • Prompt engineering and interaction design for Generative AI;
  • Automation of educational processes;
  • Autonomous agents and multi-agent systems.

Educational Technologies

  • Information and Communication Technologies (ICT) in education;
  • Digital technologies for teaching and learning;
  • Virtual Learning Environments (VLEs);
  • Learning Management Systems (LMS);
  • Digital learning platforms;
  • Digital learning resources and learning objects;
  • Open Educational Resources (OER);
  • Gamification and game-based learning;
  • Mobile learning (m-learning);
  • Virtual Reality (VR), Augmented Reality (AR), and Mixed Reality (MR);
  • Metaverse and immersive learning environments;
  • Virtual and remote laboratories.

Teacher Education and Professional Development

  • Initial teacher education;
  • Continuing teacher education and professional development;
  • Teachers’ digital competence;
  • Artificial Intelligence literacy (AI literacy);
  • Curriculum development and curriculum design;
  • Technology integration in teaching;
  • Innovative pedagogical practices;
  • Competency development for Education 5.0.

Education, Innovation, and Learning

  • Active learning methodologies;
  • Blended and hybrid learning;
  • Flipped classroom;
  • Project-Based Learning (PBL);
  • Instructional Design;
  • Learning Experience Design (LXD);
  • Distance and online education;
  • Personalized and adaptive learning;
  • Technology-enhanced assessment and evaluation.

Learning Analytics and Data Science

  • Learning Analytics;
  • Educational Data Mining (EDM);
  • Big Data in education;
  • Educational dashboards and data visualization;
  • Academic performance prediction and predictive analytics;
  • Data Science in education.

AI Ethics, Governance, and Regulation

  • Ethics of Artificial Intelligence;
  • Responsible Artificial Intelligence (Responsible AI);
  • Algorithmic transparency and explainability;
  • Explainable Artificial Intelligence (XAI);
  • Algorithmic bias, fairness, and discrimination;
  • Privacy and data protection;
  • Brazil’s General Data Protection Law (LGPD) and international data protection frameworks;
  • Research integrity;
  • Ethical and responsible use of AI in research and education.

Educational Policy, Leadership, and Management

  • Public policies for Educational Technologies and Artificial Intelligence;
  • Digital transformation in education;
  • Innovation management;
  • Educational leadership and governance;
  • Strategic planning in education;
  • Institutional assessment and evaluation;
  • Internationalization of education;
  • Financing, governance, and sustainability of educational innovation.

Inclusion, Diversity, Equity, Accessibility, and Sustainability

  • Inclusive education;
  • Assistive technologies;
  • Digital accessibility;
  • Diversity, Equity, Inclusion, and Accessibility (DEIA);
  • Digital inclusion and the digital divide;
  • Sustainability in education;
  • United Nations Sustainable Development Goals (SDGs) and education.

Interdisciplinary Scope

IJAIET welcomes contributions from all major areas of knowledge, including:

  • Education;
  • Humanities;
  • Social Sciences;
  • Applied Social Sciences;
  • Linguistics, Languages, Literature, and the Arts;
  • Computer Science;
  • Mathematics;
  • Physical and Earth Sciences;
  • Engineering;
  • Biological Sciences;
  • Health Sciences;
  • Agricultural Sciences;
  • Environmental Sciences;
  • Business and Management;
  • Economics;
  • Law;
  • Psychology;
  • Communication and Media Studies;
  • Design;
  • Architecture and Urban Planning;
  • Physics;
  • Chemistry;
  • Geography;
  • History;
  • Philosophy.

Manuscripts from these and other disciplines will be considered when they establish a clear and substantive connection with education, teacher education, teaching and learning, Artificial Intelligence, Educational Technologies, innovation, or the digital transformation of educational processes.

 

TYPES OF MANUSCRIPTS ACCEPTED

The International Journal of Artificial Intelligence, Educational Technologies and Teacher Education (IJAIET) accepts the following manuscript types:

Original Research Articles

Original empirical, experimental, quantitative, qualitative, or mixed-methods research that makes a significant and original contribution to the advancement of knowledge.

Research Articles

Full-length scholarly studies presenting a robust theoretical or conceptual framework, rigorous methodology, systematic analysis of results, and critical discussion of their scientific, educational, technological, policy, or societal implications.

Theoretical and Conceptual Articles

Critical, theoretical, conceptual, epistemological, or prospective analyses addressing Artificial Intelligence, Educational Technologies, educational innovation, teacher education, educational policy, or the digital transformation of education.

Review Articles

The journal welcomes rigorous literature reviews, including:

  • Systematic Reviews;
  • Integrative Reviews;
  • Scoping Reviews;
  • Meta-analyses;
  • Narrative Reviews, when they provide a substantive and clearly articulated scholarly contribution.

Reports of Educational and Professional Practice

Evidence-informed manuscripts that describe, analyze, and critically evaluate innovative educational, institutional, technological, or professional practices. Submissions must be theoretically grounded and include a systematic and critical assessment of processes, outcomes, limitations, and implications.

Short Communications

Concise scholarly communications intended for the timely dissemination of preliminary findings, pilot studies, proofs of concept, case studies, methodological innovations, tool development, institutional innovations, educational prototypes, and technological solutions with demonstrable scientific or educational relevance.

Critical Reviews

Critical and scholarly reviews of books, software, digital platforms, Educational Technologies, scientific or policy documents, and other works of relevance to the journal’s scope.

Editorials

Articles authored by members of the Editorial Board or invited scholars addressing strategic, emerging, or particularly significant topics related to the journal’s focus and scope.

Editorial Statement

The International Journal of Artificial Intelligence, Educational Technologies and Teacher Education (IJAIET) adopts an international and interdisciplinary perspective, fostering meaningful connections among scientific research, technological innovation, teacher education, educational policy, and the digital transformation of education.

The journal is committed to advancing high-quality, rigorous, transparent, ethical, and socially relevant scholarship and to promoting the responsible and innovative development, evaluation, and use of Artificial Intelligence and Educational Technologies for the benefit of education and society.

 

The Editors