Current changes in society and the education system, cumulated with the accelerated development of new technologies, entail inherent changes in the educational process. Numerous studies have shown that the pandemic has forced a rapid transformation of higher education. Thus, if before the pandemic digital technologies were used to supplement the learning process, now they are the main means of learning delivery. In addition, as previous research has shown, new pedagogical strategies and new ways of teaching and learning are needed for the current generation of students, the so-called Generation Z, to acquire new knowledge and develop new skills. In this necessary evolution of the educational process, a possible solution to increase the effectiveness of the learning process for the Generation Z students is to use microlearning to extend the traditional ways of learning. Many studies have shown that microlearning, based on how today's students learn and memorize, facilitates learning. In recent years there has been a growing trend in their use of microlearning in the educational process. But, in order to be effective, this approach must allow the individual knowledge building, by indicating a guiding direction of the optimal path to achieve the proposed objectives. We propose a system for personalized learning using microlearning, which provides support and guidance to students based on their individual needs, in order to increase their interest in learning, but also to compensate for various deficiencies in their educational background. We also present a case study from the higher education sector. Feedback from students and data collected during the semester as a result of the students' behavioural analysis and their real learning motivations will be used to improve the proposed system.
Reinforcement Learning for Special Education: Aligning LLM Tutors to Diverse Learners through Disability-Adaptive Training
Korea University Sejong Campus（韩国大学世宗校区）；Ewha Womans University（梨花女子大学）；Indiana University Bloomington（印第安纳大学布卢明顿分校）；Korea Institute for Curriculum and Evaluation（韩国课程评估院）；Chosun University（朝鲜大学）
现代高等教育利用MOOC技术。将大规模开放式在线课程（MOOC）的教育过程建模为一个动态的多智能体过程是一项具有挑战性的任务。在本文中，Petri网扩展的学习流建模的背景下进行了研究。它示出了如何learnflow可以与经典和有色Petri网建模。这些扩展有助于对分布式和多代理过程进行建模。然而，现有的Petri网扩展不提供多课程计划和自适应学习的背景下建模的教育过程的能力。我们提出了\emph{Petri nets with reference data}（PNRDs）在MOOC的电子学习建模。PNRD使我们能够以一种直观、清晰和不超载的形式代表教育过程的模型。此外，PNRD使我们能够展示多课程计划的各个方面以及MOOC教育过程中的动态变化。我们还展示了如何PNRD可以用来模拟基于项目的学习中的在线学生协作。
Bringing Generative AI to Adaptive Learning in Education
Squirrel Ai Learning by Yixue Education Inc.（松鼠AI学习（乂学教育公司））；Michigan State University（密歇根州立大学）；Zhejiang Normal University（浙江师范大学）；Carnegie Mellon University（卡内基梅隆大学）
A Pre-Trained Graph-Based Model for Adaptive Sequencing of Educational Documents
Université Paris-Saclay（巴黎萨克雷大学）；CNRS（法国国家科学研究中心）；ENS Paris-Saclay（巴黎萨克雷高等师范学校）；Centre Borelli（博雷利中心）；onepoint（onepoint公司）；University of Augsburg（奥格斯堡大学）；Inria Saclay（法国国家信息与自动化研究所萨克雷分部）；University of Pittsburgh（匹兹堡大学）
Strategy-Oriented Feedback for Fostering Systematic Problem-Solving in Machine Learning Education
TUD Dresden University of Technology（德累斯顿工业大学）；RWTH Aachen University（亚琛工业大学）；Center for Scalable Data Analytics and Artificial Intelligence (ScaDS.AI)（可扩展数据分析与人工智能中心）
Agentic AI Ecosystems in Higher Education: A Perspective on AI Agents to Emerging Inclusive, Agentic Multi-Agent AI Framework for Learning, Teaching and Institutional Intelligence
College of Computing and Data Science, Nanyang Technological University, NTU, Singapore（南洋理工大学计算机与数据科学学院）；DeepMed Ptd Ltd, India（印度DeepMed公司）
A Computational Model of Teacher-Student Co-Adaptation
University of Bologna, Computer Science Department（博洛尼亚大学计算机科学系）；University of Pisa, Computer Science Department（比萨大学计算机科学系）；Instituto Superior Técnico, University of Lisbon（里斯本大学技术高等学院）；INESC-ID（INESC-ID研究所）
Distance Learning and Multilingual Education: A Case Study of Challenges and Pedagogical Perspectives in the Greek Border Region
Aristotle University of Thessaloniki（塞萨洛尼基亚里士多德大学）；Heriot-Watt University（赫瑞-瓦特大学）；Democritus University of Thrace（色雷斯德谟克利特大学）；Hellenic Open University（希腊开放大学）
Enhancing Educational Efficiency: Generative AI Chatbots and DevOps in Education 4.0
State University of Novi Pazar（新帕扎尔国立大学）；University of Criminal Investigation and Police Studies（刑事侦查与警察研究大学）；Higher Technical Professional School in Zvečan（兹韦钱高等技术专业学院）；Academy Of Technical And Art Applied Studies Belgrade（贝尔格莱德技术与艺术应用研究学院）
