Journal Information
Aims and Scope
Advancing responsible, ethical, human-centred, and evidence-based artificial intelligence in education and professional learning.
About the Journal
An interdisciplinary platform for responsible AI
The Journal of Responsible AI in Education and Professional Learning is an international, peer-reviewed, open-access journal dedicated to advancing rigorous, ethical, and evidence-based research on the design, implementation, evaluation, and governance of artificial intelligence in education and professional learning.
The journal provides an interdisciplinary platform for researchers, educators, practitioners, policymakers, technology developers, and professional organisations to examine how artificial intelligence can enhance teaching, learning, assessment, curriculum development, professional competence, and educational decision-making while safeguarding human agency, academic integrity, equity, privacy, transparency, and social responsibility.
The journal welcomes research conducted across educational and professional contexts, including schools, higher education, teacher education, technical and vocational education and training, medical and health professions education, engineering education, workplace learning, continuing professional development, and lifelong learning.
Research Coverage
Focus and Areas of Interest
The journal considers manuscripts addressing, but not limited to, the following areas:
- Artificial intelligence-enhanced teaching and learning
- Generative AI and large language models in education
- Responsible, ethical, and human-centred AI
- AI literacy among students, educators, and professionals
- AI-supported assessment and feedback
- Learning analytics and educational data science
- Intelligent tutoring and adaptive learning systems
- AI-supported curriculum design and educational planning
- Artificial intelligence in medical and health professions education
- AI in technical, vocational, and professional education
- Teacher education and AI-related professional development
- Academic integrity, authorship, and responsible use of generative AI
- Algorithmic fairness, bias, transparency, and explainability
- Data protection, privacy, and cybersecurity in educational technologies
- Inclusive education and AI for learners with diverse needs
- AI adoption in low-resource, developing, remote, and underserved contexts
- Institutional policies and governance of AI in education
- Social, psychological, cultural, and philosophical implications of AI
- AI-supported simulation, virtual reality, and immersive learning
- Evaluation of AI applications and their effects on learning outcomes
Accepted Formats
Types of Manuscripts
The journal publishes:
- Original empirical research
- Systematic reviews and meta-analyses
- Scoping and integrative reviews
- Design-based research
- Educational technology evaluations
- Policy and governance analyses
- Conceptual and theoretical studies
- Methodological papers
- Comparative international studies
- Evidence-based professional practice reports
- Registered reports and research protocols, where appropriate
Scope Control
Editorial Boundaries
The journal does not normally consider:
- Purely technical AI or computer science manuscripts without a clear educational or professional learning contribution
- Descriptions of AI applications without systematic evaluation or supporting evidence
- General perception surveys that lack a clear theoretical basis, validated instruments, or adequate analytical procedures
- Manuscripts generated substantially by artificial intelligence without transparent human authorship and accountability
- Studies involving human participants that do not provide appropriate ethical approval or an adequate ethical justification
- Manuscripts outside the relationship between artificial intelligence, education, training, or professional learning