Dual Publication Scheme
Authors are encouraged to submit two companion articles: one presenting successful experimental results, and a second documenting negative or null findings.
Both articles will be assigned DOIs and will be fully citable, reflecting our commitment to valuing the entire spectrum of scientific discovery. Both articles are subject to thorough peer reviews.
We welcome empirical studies, theoretical analyses, systematic reviews, and position papers that address, but are not limited to, the following topics:
AI Applications in Higher Education
Learning Processes and Pedagogy
Educational System Design and Evaluation
Ethical, Social, and Cultural Dimensions
Faculty, Leadership, and Organizational Transformation
Infrastructure, Policy, and Strategy
Research, Publishing, and Scholarly Communication
Interdisciplinary and Global Perspectives
Future Directions and Emerging Trends
Artificial Intelligence Advances in Education welcomes a wide range of article types to support diverse and impactful scholarly communication in the field of AI in education. Accepted contributions include Original Research articles that present new empirical findings, Scoping Reviews and Systematic Reviews that synthesize literature with varying depth and methodological rigor, and Methods and Protocols articles that detail innovative approaches or technical processes.
The journal also accepts Troubleshooting articles that address practical challenges, Short Format/Single Results articles for significant preliminary findings, Data Reports to describe reusable datasets, and Perspective/Opinion pieces that offer expert viewpoints. Additionally, Conceptual Analyses are invited to explore theoretical frameworks and key models.
Submissions should contribute to theory and practice, demonstrate broad educational relevance, and emphasize user experience, learning outcomes, and generalizable insights. The journal prioritizes interdisciplinary contributions and encourages the responsible and innovative application of AI in education. All submissions must comply with the author guidelines; those that do not may be returned without review.
Professor of Learner Centred Design at University College London, Rose Luckin is an internationally recognized expert in the ethical and effective use of AI in education. She serves as an Honorary Advisor to the editorial team and is the Director of EDUCATE. Professor Luckin has advised the UK House of Commons Education Select Committee on the Fourth Industrial Revolution, and co-founded the Institute for Ethical AI in Education. She is the President-elect of the International Society for AI in Education, and is a member of several influential panels, including the UK Office for Students Horizon Scanning Panel and the AI and Robotics Panel of the Topol Review on the future of the NHS workforce. She also contributes to the European AI Alliance and holds an International Franqui Chair at KU Leuven. In 2017, she was named one of the 20 most influential people in education on the Seldon List.
Ignacio Aguaded is a Full Professor of Media Education and Technologies applied to Education at the University of Huelva (Spain). He has a degree in both Spanish Studies and Education, and also holds a PhD. He is the founding President of Comunicar (a group of teachers and journalists that aims to raise the profile of media education). He has been the Editor-in-Chief of the Research Journal ‘Comunicar’ (indexed in Scopus-Q1 and Journal Citation Reports-Q1) (from 1993 to 2023; 30 years) and is also a regular contributor to various international publications. He has led the Research Group ‘Agora’, part of the Andalusia Research Plan, and has conducted various research projects within the framework of Spanish and International programmes, such as Interreg III and E-learning… all within the area of media education. He has lectured at National and International forums, conferences and universities. Author of a long list of scientific books and papers, he has also chaired over twenty international scientific events. He is currently Vice-Chancellor for Technology and Quality at the University of Huelva. He was the recipient of the Best Researcher Award of the University of Huelva in 2015, and of the Ibero-American Communication Award in 2022 (ASICOM), and the Unesco-MIL World Prize as President of Alfamed in 2023. He is a member of the Spanish Society for Academic Excellence (SEDEA). ORCID: https://orcid.org/0000-0002-0229-1118. Google Scholar: https://bit.ly/2l4xoGV; web institucional: www.uhu.es/agora
Dr. Viktoria Dalko is a Professor of Finance at Hult International Business School and serves as an Instructor of Finance at Harvard University’s Division of Continuing Education. She is the Founder and President of the YXQ Research Institute of Comprehensive Economics. In addition to her academic roles, Dr. Dalko contributes her expertise as an Advisory Board Member at the College of Business Administration, Al Yamamah University in Riyadh, Saudi Arabia; the World Finance Conference; and the Uniform Adjusted Financial Reporting Standards initiative. Her global engagements reflect her commitment to advancing financial education and research across diverse institutions.
Dr. Xhurxhi is Director of People Science at Walmart and holds a PhD in Economics from the City University of New York (CUNY), where she specialized in labor and health economics. During her doctoral studies, she taught economics and statistics courses at Trinity College, Hartford.
Following her PhD, Dr. Xhurxhi joined Amazon as a scientist building campaign performance measurement models and leading AI solution development in the marketing space. Currently at Walmart, she applies econometric modeling and AI to derive workforce insights, bridging quantitative research methodologies with practical business applications.
Dr. Xhurxhi is passionate about helping others navigate career transitions, particularly supporting academics entering industry roles. Her unique perspective spans both rigorous academic research and applied industry implementation, positioning her to help bridge the gap between theoretical AI research and practical educational applications. She brings valuable insight into ensuring research publications deliver actionable impact for industry practitioners.
Diba Kaya is a researcher, strategic advisor, a psychotherapist focused on the intersection of AI, cognition, and knowledge development. Drawing on her experience at Google, Amazon, and JSTOR, she brings approaches that integrate distributed cognition and consequence awareness into AI strategy. She collaborates with founders and product teams navigating AI product development to ensure tools align with how humans actually think, research, and create meaning. As an Advisory Board member, she brings a systems-level, industry-informed lens on building AI tools that enhance human thinking rather than bypass it.
In March 2022, Stephen Burt was appointed Chief Data Officer for the Government of Canada at the Treasury Board Secretariat, with a mandate to provide leadership across all aspects of managing information and data within the federal government. His responsibilities include developing protective policies for privacy and the responsible use of data-driven technologies, including artificial intelligence, as well as policies related to transparency, such as access to information, open government, and Government of Canada enterprise tools for data and information sharing. He also oversees policy and guidance for data-enabled digital services and programs, including foundational information management and data governance practices across federal departments. Prior to this role, Mr. Burt served as the functional authority for data governance and analytics capability for the Department of National Defence and Canadian Armed Forces (DND/CAF), where he advanced analytics adoption and maturity, and led a department-wide initiative to establish analytics and data governance. He began his career in the Government of Canada in 1997 with Revenue Canada, moving in 1999 to the DND, where he held various policy, operational, and defence intelligence roles, including two years as Executive Assistant to the Deputy Minister. In 2007, he joined the Privy Council Office (PCO) as Senior Advisor on National Security in the Security and Intelligence Secretariat, serving as secretary for the committees of the National Security Advisor to the Prime Minister. In 2009, he became part of the Intelligence Assessment Secretariat (IAS) at PCO, serving as Director for Afghanistan, later for Asia, then as Director of Operations in 2012, and acting Assistant Secretary in 2014. In 2015, he became Assistant Chief of Defence Intelligence at Canadian Forces Intelligence Command, leading the federated production of intelligence within DND/CAF and overseeing defence intelligence policy. Mr. Burt holds an undergraduate degree in history from the University of Ottawa and a Master’s in Public Administration from Queen’s University in Kingston, Ontario.
Soribel Feliz is a consultant in Responsible AI and a thought leader in the AI Ethics space. She is currently a Senior AI Policy and Governance Specialist at the Department of Homeland Security. Previously, she was a Senior AI and Tech Policy Advisor for Senator Bill Cassidy, as part of an AI Rapid Response Fellowship in Congress. Prior to that, she worked in Regulatory Compliance at Meta and Microsoft. Before joining Meta, she was part of the diplomatic service with the US Department of State, serving overseas in Bucharest, Romania, and São Paulo, Brazil, as well as in Washington, DC. She earned a Master’s degrees in Public Administration and Economics from the Maxwell School at Syracuse University. Soribel is on this board in her personal capacity.
Prof. Samira Hosseini holds a BSc in Applied Physics, an MSc in Polymer Chemistry, and a PhD in Biomedical Engineering. She has completed postdoctoral training at the Research Laboratory of Electronics (RLE) at the Massachusetts Institute of Technology (MIT), USA. Prof. Hosseini served as Director of the Writing Lab at the Institute for the Future of Education, Tecnológico de Monterrey, where she led initiatives in educational research, faculty development, and publication strategy. She also held a Research Professor appointment at the School of Engineering and Sciences at Tecnológico de Monterrey. She is a visiting Professor at Universidad de Huelva in Spain. She is a Senior member of the Institute of Electrical and Electronics Engineers (IEEE) and a member of the IEEE Education Society. Her research team has received multiple recognitions, including the “Best Invention of the Year” award from the Convocatoria Programa Jalisciense de Fomento a la Propiedad Intelectual, granted by the government of Guadalajara, Mexico. She was also the recipient of the Hero of the Year award for her outstanding contributions to Scientific Production and Faculty Training.
Kingsley received his PhD in Software Engineering from the University of East London, UK. He is a Research Professor and Mentor at the Institute for the Future of Education and Department of Computer Science, School of Engineering and Sciences, Tecnologico de Monterrey, Mexico. He is a Senior Member of the Institute of Electrical and Electronics Engineers (IEEE), Member of Institution of Engineering and Technology UK (IET), IEEE SMCS Technical Committee (TC) on Soft Computing, and IEEE Computer Society. He has served as Associate Editor, Book Editor, Guest Editor, and Editorial board member in reputable journals, conferences, and publishers in Computer Science and Education, such as Journal of Big Data (Springer), Computers and Electrical Engineering (Elsevier), and the International Journal of Sustainability in Higher Education (Emerald). Kingsley received the Springer Nature Editor of Distinction Award in 2025, an honor in serving as Associate Editor in Journal of Big Data (Springer). His research interests include Process Mining and Automation, Learning Analytics and Design, Data Science, Educational Technologies, Artificial Intelligence, Machine Learning, Text Mining, Computers and Education, and Educational Innovation.
Julius T. Nganji is an adjunct faculty member in the Department of Occupational Science and Occupational Therapy at the University of Toronto’s Temerty Faculty of Medicine. He holds a PhD in Computer Science from the University of Hull, UK, where his research focused on personalizing e-learning for students with disabilities using web ontologies. His current work explores artificial intelligence in education, digital accessibility, e-learning personalization, usability, and human-computer interaction. He is an active researcher, reviewer, and guest editor across academic journals.
Neil is Professor of Computer Science at the University of Hull and has been recognized as a National Teaching Fellow and Principal Fellow of AdvanceHE. His research spans technology-enhanced learning, sustainable development, and formal methods in computer science. He leads the University’s Computer Science Pedagogic and Education Group and chairs both the British Computer Society’s Ethics Group and the International Federation for Information Processing Working Group 9.2 on Social Accountability and Computing. Neil has authored more than 150 publications and has contributed extensively to AdvanceHE through reports on flexible learning, assessment, and educational inclusion. His work continues to shape ethical computing and responsible digital practice nationally and internationally. In recent years he has focused on the impact of AI on education, as well as applications of AI to address some of the United Nations’ Sustainable Development Goals, including education.
Diego Hernán Peluffo Ordóñez earned his BSc in Electronic Engineering (2008), MSc in Industrial Automation (2010) and PhD in Engineering (2013) from Universidad Nacional de Colombia. While completing his doctorate, he interned at KU Leuven (2012). Then he worked as a postdoctoral researcher at Université Catholique de Louvain (2013–2014). Between 2015 and 2020, he combined roles as researcher and professor across Colombia and Ecuador, before joining deeplearning.ai in California as Consultant and Curriculum Author (2020–2022). He is now Assistant Professor and researcher at the College of Computing at the Mohammed VI Polytechnic University. He is the founder and lead of the Smart Data Analysis Systems (SDAS) Research Group. He is a partner and project controls manager at VLESIM–Colombia. He has served as a conference organizer, keynote speaker and guest editor for journals. His research spans medical, biological and educational data analysis, with a theoretical focus on spectral and kernel‑based exploratory methods for data representation.
José Luis Martín Núñez is an Associate Professor at the Institute for Educational Sciences (ICE) at the Universidad Politécnica de Madrid (Spain). He earned his PhD in Information and Knowledge Engineering, with an extraordinary award, from the University of Alcalá. His dissertation received the Best Thesis Award in Technology and Education from the Official College of Telecommunications Engineers in 2017. He holds a degree in Telecommunication Engineering and an MBA from the Universidad Politécnica de Madrid. Since 2024, he has been a Senior Member of the IEEE and is an active member of the IEEE Education Society. His research has been published in prestigious journals such as IEEE Transactions on Education, the International Journal of Engineering Education, Heliyon, Frontiers in Education, the Journal of Universal Computer Science, as well as in the proceedings of the IEEE FIE conference. His main research interests include Educational Technology, Artificial Intelligence in Education, and STEM Teacher Training. He leads the EduCyT educational innovation group (Education in Science and Technology) and is also a member of the research group ForPROFE (Research Group for the Training of Science and Technology Teachers).
Paula Marcelo Martínez is a researcher at the University of Huelva, Spain. She holds a PhD in Education from the University of Seville, as well as a Master’s in Management, Evaluation, and Quality of Training Institutions and a Master’s in E-learning from the same university. Her research focuses on teacher professional development in connected environments, with a particular interest in how educators engage in informal learning, collaboration, and the creation of support networks through digital and social platforms. She teaches in the Degree Programs of Early Childhood Education, Primary Education, and Pedagogy, specializing in the area of Didactics and Educational Organization.
Article processing charge (APC):
2000 USD (Excluding taxes)
Discounted APC:
$0 for all articles submitted on or before 8 March 2026.
Subsequent Discounted APC:
$200 for submissions received through 31 December 2026.
