Submissions
Submission Preparation Checklist
As part of the submission process, authors are required to check off their submission's compliance with all of the following items, and submissions may be returned to authors that do not adhere to these guidelines.- By proceeding, you confirm that you have carefully read our Guidelines and agree to our Terms and Conditions. To preserve author anonymity, please ensure that all identifying details are included only in the title page and not in the main manuscript.
- I confirm that the manuscript file submitted for peer review has been anonymised and does not contain author names, affiliations or other identifying information.
- I confirm that author-identifying information has been provided separately in the Title Page and has not been included in the Anonymised Manuscript.
- I have checked the manuscript and document/file properties for identifying information, including comments and tracked changes.
Original Research
Full-length studies presenting new empirical findings.
Review Article
Comprehensive overviews of the literature on a specific topic.
Methods and Protocols
Detailed descriptions of innovative methodologies, protocols, or technical approaches.
Troubleshooting
Articles addressing common challenges and solutions in AI applications for education.
Short Format/Single Results
Brief reports of significant single findings or preliminary results.
Data Reports
Descriptions of research datasets with guidance for reuse and interpretation.
Conceptual Analysis
Exploration of key concepts, models, or theoretical frameworks in the field.
Special Issues: Reimagining Higher Education in the Age of AI
Scope of the Special Issue
Artificial intelligence is reshaping higher education at an unprecedented pace, extending far beyond the use of generative AI as a productivity tool. From intelligent tutoring systems and AI agents to personalised learning, adaptive assessment and curriculum redesign, AI is transforming how universities teach, learn, support students and prepare graduates for an increasingly AI-enabled world.
This Special Issue explores how higher education institutions can harness artificial intelligence to enhance learning, improve student success and strengthen institutional resilience while maintaining academic integrity, ethical practice and human-centred education. We welcome original research that examines the pedagogical, technological, organisational and societal implications of AI across the student lifecycle, from recruitment and learning design to assessment, employability and lifelong learning.
Submissions may be empirical, theoretical, methodological or practice-based and are encouraged from interdisciplinary perspectives spanning education, learning sciences, instructional design, computer science, psychology, educational technology, policy and leadership. We particularly welcome studies that move beyond technology adoption to explore how AI is reshaping the future of higher education through evidence-informed innovation.
Keywords
Themes and Potential Topics of Interest
- Learning design for AI-enhanced education
- Agentic AI and intelligent learning environments
- AI-supported teaching, tutoring and feedback
- Student engagement, belonging and success
- Assessment innovation and academic integrity
- Curriculum transformation and AI literacy
- Faculty capability, professional learning and change management
- AI for student support, wellbeing and advising
- Learning analytics and personalised learning
- Ethical, responsible and trustworthy AI in higher education
- Institutional AI strategy, governance and policy
- Graduate employability and preparing learners for an AI-enabled workforce
- Human-AI collaboration in teaching and learning
- Emerging pedagogies for AI-enhanced higher education
Special Issues: AI for Inclusive, Equitable and Global Education
Scope of the Special Issue
Artificial intelligence has the potential to transform education for learners across the globe. While AI presents significant opportunities to widen participation, personalise learning and improve educational outcomes, it also risks reinforcing existing inequalities if access, design and implementation fail to consider diverse learners and contexts. Ensuring that AI contributes to more inclusive, equitable and globally relevant education is therefore one of the defining challenges for researchers, educators and policymakers.
This Special Issue explores how artificial intelligence can support inclusive education across diverse educational systems, cultures and socioeconomic contexts. We welcome original research examining how AI can improve access to quality education, reduce barriers to participation and support learners from underrepresented, marginalised and disadvantaged communities. We are particularly interested in work that considers the ethical, cultural and societal implications of AI deployment and promotes evidence-based approaches to creating fair, accessible and inclusive educational environments.
Submissions may be empirical, theoretical, methodological or practice-based and are encouraged from interdisciplinary perspectives spanning education, educational technology, computer science, psychology, accessibility, public policy, international development and the learning sciences. We particularly welcome contributions from researchers working in low- and middle-income countries and studies that bring diverse global perspectives to the development and application of AI in education.
Keywords
Artificial Intelligence; Inclusive Education; Educational Equity; Global Education; Accessibility; Personalised Learning; Digital Inclusion; Educational Technology; Learning Analytics; Sustainable Development Goals; AI Ethics; Educational Policy; Universal Design for Learning; Diversity; Social Justice
Themes and Potential Topics of Interest
- AI for widening participation and educational equity
- Accessible and inclusive AI-powered learning environments
- Universal Design for Learning and AI
- AI supporting learners with disabilities and additional learning needs
- Multilingual AI and culturally responsive education
- AI in low-resource and developing educational contexts
- Reducing the digital divide through AI-enabled education
- AI and the United Nations Sustainable Development Goals
- Fairness, bias and responsible AI in education
- Educational policy for equitable AI implementation
- Community-centred and participatory approaches to AI design
- AI supporting lifelong learning and workforce inclusion
- International case studies and cross-cultural perspectives
- Measuring educational impact across diverse learner populations
Special Issues: Human Capability in the Age of AI
Scope of the Special Issue
As artificial intelligence becomes embedded across education and the workplace, questions about uniquely human capabilities have never been more important. Higher education is increasingly challenged to prepare graduates who can work confidently alongside AI while demonstrating the creativity, critical thinking, ethical judgement, adaptability and collaborative skills that remain central to human success. At the same time, educators are rethinking assessment, curriculum design and graduate outcomes to ensure that learning remains authentic, meaningful and future-focused.
This Special Issue explores how education can develop human capability in an AI-enabled world. We welcome original research examining the knowledge, skills and attributes that learners will need to thrive alongside increasingly capable AI systems, together with innovative approaches to curriculum design, assessment and graduate development. We also encourage contributions that consider the implications for educational policy, institutional leadership and workforce readiness as societies adapt to rapid technological change.
Submissions may be empirical, theoretical, methodological or practice-based and are encouraged from interdisciplinary perspectives spanning education, psychology, learning sciences, educational technology, assessment, workforce development, public policy and organisational leadership. We particularly welcome evidence-informed studies that bridge research with educational practice and policy and foster dialogue between academia, government, employers and industry.
Keywords
Themes and Potential Topics of Interest
- Human capability and agency in AI-enhanced education
- Graduate attributes for an AI-enabled future
- Critical thinking, creativity and problem-solving alongside AI
- Authentic assessment in the age of generative AI
- Curriculum redesign for future graduate success
- AI literacy for students, educators and professionals
- Human-AI collaboration in learning and the workplace
- Ethical reasoning and responsible AI use
- Employability, workforce readiness and lifelong learning
- Educational leadership for AI-enabled institutions
- Policy frameworks supporting future skills development
- Partnerships between higher education, employers and government
- Measuring human capability beyond traditional assessment
- International perspectives on future graduate preparation
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