Aim and Scope
LAAPL 2025 workshop focuses on the potential of Large Language Models (LLMs) and agentic AI systems in revolutionizing personalized learning. It aims to delve into how these advanced AI technologies can be leveraged to create adaptive, interactive, and highly personalized learning support for learners.
Given the theme on “Advancing Educational Technology in the Age of AI” in ICWL 2025, and the title on Emerging Technologies for Education in SETE, this workshop will specifically explore how these cutting-edge AI advancements enhance online learning environments for individuals and represent emerging technologies that can be used to transform personalized learning practices.
Participants, including researchers, practitioners, and graduate students from fields related to AI, education, and human-computer interaction, in this workshop will discuss and gain insights into the innovative applications in education, and foster discussions on the ethical considerations and future directions of integrating LLMs and agentic AI into diverse personalized learning contexts.
Topics of interest include, but are not limited to:
- LLM-based Personalized Learning
- Agentic AI for Collaborative Learning
- Agentic AI for Dynamic Adaptive Learning
- Multi-Agent Learning Support Systems
- LLM-enhanced Automated Learning Feedback and Assessment
- AI-enhanced Learning Analytics
- VR/XR/Metaverse for Personalized Immersive Learning
- Knowledge Graphs for Personalized Learning
- Privacy Protection in Personalized Learning
- Ethics, Security, and Fairness in Personalized Learning
Paper Submission
Paper submission system is available at: EasyChair (https://easychair.org/conferences?conf=laapl2025). Prospective authors are invited to submit original papers reporting on research results, experimentations or novel applications related to the workshop topics.
Submitted papers must be in pdf format, and according to the Springer LNCS Authors Guidelines: Information for Authors.
Formats for the submissions are either Full Paper (12-15 pages) or Short Paper (6-11 pages), including main content and references. Extra pages will pay an additional cost. Submissions will be peer-reviewed by at least two competent reviewers; eligible papers will be accepted either as Full or Short Paper.
Download the full CFP here
Paper Publication
All accepted papers, presented at the workshop by a registered author, will be published jointly alongside the post-conference proceedings in Springer LNCS series. All papers should have the same format as conference papers. Authors should consult Springer's authors' guidelines and use the proceedings templates there linked. There are both LaTeX and Word formats: the authors make their choice. Also, authors should comply with Springer's authors' code of conduct.
The best papers selected will be recommended for possible publications at special issues of IEEE Transactions on Learning Technologies (confirmed) and Computers and Education: Artificial Intelligence (pending).
Important Dates
All deadlines are in the Anywhere on Earth timezone.
Paper Submission Due: Sep. 21, 2025
Notification to authors: Oct. 21, 2025
Camera-ready Submission Due: Oct. 31, 2025
Workshop day: Nov. 30, 2025
Organizing Committees
Workshop Chairs
- Qun Jin, Waseda University, Japan
- Oscar Lin, Athabasca University, Canada
Program Chairs
- Ruichen Cong, Waseda University, Japan
- Yufeng Wang, Nanjing University of Posts and Telecommunications, China
- Gabor Kiss, Obuda University, Hungary
Advisory Chairs
- Shoji Nishimura, Waseda University, Japan
- Qing Li, Hong Kong Polytechnic University, China
PC Members
- Weimin Li, Shanghai University, China
- Jian Chen, Cyber University, Japan
- Jason C. Hung, National Taichung University of Science and Technology, Taiwan
- Yishui Zhu, Chang’an University, China
- Kiichi Tago, Chiba Institute of Technology, Japan
- Kanoksak Wattanachote, Mahidol University, Thailand
Publicity Chairs
- Yenjou Wang, Waseda University, Japan
- Jiaqi Wang, Waseda University, Japan
- Jianing Zhao, Waseda University, Japan
CONTACT US: aidhwp1@gmail.com