ICWL-SETE 2025

Workshop List

In the era of “AI in Everywhere”, integrating advanced AI techniques into the educational environment has become a central issue for the continuous development of modern education systems. The main objective of this workshop is to discuss and share the latest academic efforts in applying optimization and machine learning to these crucial scenarios. Recent advances reveal that an AI-based approach can significantly enhance manual analysis and decision-making processes. For instance, machine learning can unravel the complex influences on student motivation, while combinatorial optimization techniques are proven to be highly effective in assembling personalized and adaptive tests. The main objective of this workshop is to discuss and share the latest academic efforts in applying optimization and machine learning to automate and improve these crucial educational scenarios. We aim to bring together researchers from optimization, machine learning, and educational technology to explore cutting-edge solutions and forge a path toward truly optimized, personalized learning environments.

This workshop explores the intersection of artificial intelligence, education technology, and language learning through the lens of large language model (LLM) reasoning and knowledge representation. As AI transforms educational landscapes, there is a critical need to understand how LLMs can enhance learning experiences while addressing fundamental questions about knowledge representation and reasoning in educational contexts. The workshop will focus on three key areas: (1) AI for Education - examining how LLMs can personalize learning, enhance pedagogical approaches, and support diverse educational needs; (2) AI for Language Learning - investigating applications of reasoning-enhanced AI in second language acquisition, multilingual education, and language skill development; and (3) LLM Knowledge and Reasoning - exploring how these systems understand, process, and apply knowledge in educational settings. This interdisciplinary workshop aims to bridge the gap between cutting-edge AI research and practical educational applications, fostering collaboration between AI researchers, educators, and educational technology practitioners to shape the future of intelligent educational systems.

This workshop explores how AI, IoT, and embedded systems are transforming medical education and healthcare training, aligning with ICWL-SETE’s focus on educational technology. Key topics include AI-driven adaptive learning and assessment systems, IoT-enabled medical simulators, immersive remote training environments, and real-time analytics for personalized feedback. The integration of communication protocols such as MQTT and LoRaWAN, sensor-based data collection, and mobile robotics are examined as means to create scalable, engaging, and effective educational tools. The workshop aims to foster discussions on designing intelligent, data-driven learning environments that address challenges in remote healthcare education, assessment, and personalization. The rapid advancement of AI and IoT offers unprecedented opportunities to revolutionize medical education, assessment, and personalized learning. This workshop aligns with ICWL-SETE’s mission by demonstrating how intelligent tutoring systems, scalable remote training platforms, and immersive simulation environments can enhance learning outcomes and engagement. The integration of sensor networks and communication protocols enables real-time data collection and adaptive feedback, crucial for modern medical training. The workshop aims to bring together researchers, educators, and industry practitioners to explore innovative, scalable, and personalized educational solutions rooted in emerging AI and IoT technologies.

The International Workshop on AI for Personalized Learning (AIPL 2025) is dedicated to exploring the transformative impact of artificial intelligence on education, with a special focus on personalized learning. This workshop brings together researchers, educators, practitioners, and industry experts to discuss the latest advancements, practical applications, and future trends in AI-driven personalized education. Key topics include intelligent tutoring systems, adaptive learning platforms, learner modeling, data-driven curriculum design, ethical considerations, and the integration of AI tools across diverse educational settings. By fostering interdisciplinary dialogue and sharing innovative research and real-world case studies, AIPL 2025 aims to advance the development of scalable, inclusive, and effective personalized learning solutions. Participants are invited to contribute original research, case studies, and theoretical perspectives that highlight the opportunities and challenges of leveraging AI to tailor educational experiences to individual learners' needs, preferences, and abilities. Join us to shape the future of education through the power of artificial intelligence.

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.