Call: 2025 International Workshop on LLM and Agentic AI for Personalized Learning (LAAPL 2025)

Call for Papers:

2025 International Workshop on LLM and Agentic AI for Personalized Learning (LAAPL 2025)
November 30, 2025
The Hong Kong Polytechnic University
Hong Kong, China
https://aidhwp.github.io/laapl2025

In conjunction with the Joint Conference of
The 24th International Conference on Web-Based Learning
and
The 10th International Symposium on Emerging Technologies for Education
(
ICWL-SETE 2025)
November 30 to December 3, 2025

Deadline for submission of papers: September 21, 2025

INTRODUCTION

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.


IMPORTANT DATES

  • Paper Submission Due: Sep. 21, 2025
  • Notification to authors: Oct. 21, 2025
  • Camera-ready Submission Due: Oct. 31, 2025
  • Workshop day: Nov. 30, 2025

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 (https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines).

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.

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).

MORE INFORMATION

Please visit https://aidhwp.github.io/laapl2025


Comments


Leave a Reply

Your email address will not be published. Required fields are marked *

ISPR Presence News

Search ISPR Presence News:



Archives