Guest Editor
Prof. Xiangen HU
Affiliation: Hong Kong Polytechnic University, China
Email: xiangen.hu@polyu.edu.hk
Executive Associate Guest Editors
Prof. Jionghao LIN, University of Hong Kong, China
Prof. Min CHI, North Carolina State University, USA
Editorial Board
Prof. Ryan Baker, University of Pennsylvania, USA
Prof. Winslow Burleson, University of Arizona, USA
Prof. Stephen B. Gilbert, Iowa State University, USA
Prof. Robert Goldstone, Indiana University Bloomington, USA
Prof. Samuel Greiff, Goethe-University Frankfurt, Germany
Prof. H. Chad Lane, University of Illinois Urbana-Champaign, USA
Prof. Susanne P. Lajoie, McGill University, Canada
Assoc. Prof. Collin F. Lynch, North Carolina State University, USA
Assoc. Prof. Noboru Matsuda, North Carolina State University, USA
Prof. Vasile Rus, University of Memphis, USA
Prof. Christian Schunn, University of Pittsburgh, USA
Prof. George Siemens, University of Texas at Arlington, USA
Prof. Ronghuai Huang, Beijing Normal University, China
General Information
In an era increasingly dominated by rapid technological advancements and artificial intelligence, the landscape of higher education is undergoing transformative change. The integration of AI and data analytics has opened unprecedented possibilities for personalised learning, profoundly impacting pedagogical strategies and student engagement.
This special issue aims to explore cutting-edge research and innovative applications addressing the integration of personalised learning approaches facilitated by AI-driven technologies. Contributions should reflect significant advancements and empirical insights that have implications for practice, policy, and future research directions in higher education
Subject Coverage
We invite original research papers addressing, but not limited to, the following topics:
ü AI and personalised learning environments
ü Data-driven adaptive learning systems
ü Ethical implications and responsible AI usage in higher education
ü Implementation strategies and case studies of personalised AI-driven learning
ü Cognitive, emotional, and behavioural analytics in educational contexts
ü Learning analytics and educational data mining
ü Intelligent tutoring systems and virtual learning assistants
ü Integration of AI technologies in instructional design and curriculum development
ü Human–AI collaboration in higher education contexts
ü Assessment of student learning outcomes using AI tools
ü Challenges and future directions for AI-driven personalised education
Submission Instructions
Frontiers of Digital Education is an international academic journal, aiming at reflecting the dynamic trends in digital education policies, academic frontiers, and research hotspots from various countries. The journal explores key issues and challenges in digital education and technological innovation, establishing a distinctive platform for the dissemination and communication of significant achievements in digital education. This journal is dedicated to the contribution of the advancement of digital education.
The journal’s submission platform Editorial Manager® at https://www.editorialmanager.com/fode/ is now available for receiving submissions to this special issue. Please refer to the Submission guidelines at https://www.springer.com/journal/44366/submission-guidelines to prepare your manuscript.
When submitting a manuscript via Editorial Manager®, under the Additional Information tab, “Are you submitting this manuscript to a Thematic Series?”, answer “Yes” and select the Thematic Series “Personalised Learning and AI-Driven Innovation in Higher Education”.
All the submissions deemed suitable to be sent for peer review will be reviewed by at least two independent reviewers. We sincerely invite you to submit your original work to this special issue and are looking forward to sharing your outstanding research outcomes with the peers around the world.
The submitted papers should not have been previously published nor be currently under consideration for publication elsewhere. All papers are refereed through a peer review process. For more information, please visit http://link.springer.com/journal/44366
Highlights
l Peer review period: 1 month
l Publication: Online (first) publishing and printing, free access
l From acceptance to publication (currently): < 2 months
l Frequency of publication: Quarterly
l Charge: No page charges, no page limitation
Important Dates
Manuscript Submission Open Date: September 1st, 2025
Manuscript Submission Deadline: December 31st, 2025
Publication date: May, 2026
For enquiries regarding this Special Issue please contact the editorial office
fde@hep.com.cn
10-58582344, 10-58581581
Higher Education Press, Beijing, China