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This book gathers selected research works presented at 2025 6th International Conference on Artificial Intelligence in Education Technology (AIET 2025), held in Munich, Germany, from July 29 to July 31, 2025, emerged as a pivotal platform where researchers, practitioners, education leaders, and policy-makers converged to explore the transformative potential of AI in education.
The importance of leveraging AI in education cannot be overstated, and this conference aimed to address the pressing need for innovative practices and advancements in the field. The proceedings of AIET 2025, captured in this edited book, delve into five main sections to provide a comprehensive overview of the current landscape, emerging trends, innovations, theory, applications, challenges, and opportunities in AI in education research.
Throughout this book, there is a recurring theme of aligning AI advancements with the overarching goal of providing equal educational opportunities for all. The integration of AI in education holds the promise of addressing disparities and enhancing learning experiences on a global scale.
In particular, the proceedings highlight the progress in Generative AI, a subfield that has shown remarkable strides in creating intelligent systems capable of generating content, from text to multimedia. The implications of Generative AI in education are vast, offering innovative solutions for personalized learning, content creation, and adaptive educational resources. It serves as a comprehensive guide to the current state of AI in education, offering a roadmap for future developments that align with the principles of inclusivity, accessibility, and excellence in education.
Table des matières
Emerging AI Technologies, Methods, Systems, and Infrastructure.- Innovative Practices of Teaching and Assessment Driven by AI and Education Technologies.- Curriculum, Teacher Professional Development and Policy for AI in Education.- Issues and Discussions on AI In Education and Future Development.
A propos de l'auteur
Dr. Tim Schlippe is a professor of Artificial Intelligence at IU International University of Applied Sciences, Germany, and CEO of the company Silicon Surfer. He studied computer science at Karlsruhe Institute of Technology and did his master’s thesis at Carnegie Mellon University. After successfully completing his PhD at the Karlsruhe Institute of Technology, Prof. Dr. Schlippe worked at Across Systems GmbH as a consultant and project manager for several years before founding the company Silicon Surfer. At Silicon Surfer, he develops AI-powered products and services that have social value, e.g., the WaveFont technology which automatically and intuitively visualizes information and emotion from the voice in subtitles and captions. Prof. Dr. Schlippe has in-depth knowledge in the fields of artificial intelligence, machine learning, natural language processing, multilingual speech recognition/synthesis, machine translation, language modeling, computer-aided translation, and entrepreneurship, which can be seen in his numerous publications at international conferences in these areas.
Eric Cheng is a professor and the vice president (Academic) of Yew Chung College of Early Childhood Education, Hong Kong, China, specializing in Knowledge Management, Lesson Study and AI in Education; he earned his Ed.D. in education management from the University of Leicester. His research investigates strategies for schools to optimize pedagogical knowledge assets for enhanced student learning and sustainable development. As a Principal Investigator, Eric has initiated over 20 research projects in Knowledge Management and School Improvement, securing competitive funding. He has published over 80 international journal papers, book chapters, and ten academic books.
Dr. Tianchong Wang is a lecturer in STEM in Innovative Education Futures at the College of Education, Psychology, and Social Work, Flinders University, Adelaide, Australia. He holds an Ed.D. from the Chinese University of Hong Kong, a M.Sc. from the University of Hong Kong, and a BA from Hong Kong Baptist University, along with various ICT qualifications. Tianchong is an advocate for the Education 2030 Sustainable Development Agenda and an active researcher focused on using digital technologies to enhance the quality and inclusivity of education. His research interests include AI in education, women in STEM, blended learning, ICT-enabled learning at scale, and digital learning for development. He has contributed to research projects commissioned by international organizations and has served as a consultant for UNESCO. Dr. Wang is also a passionate teacher educator, frequently appointed by development aid agencies as a resource person to lead teacher capacity-building activities in the Global South.
Résumé
This book gathers selected research works presented at 2025 6th International Conference on Artificial Intelligence in Education Technology (AIET 2025), held in Munich, Germany, from July 29 to July 31, 2025, emerged as a pivotal platform where researchers, practitioners, education leaders, and policy-makers converged to explore the transformative potential of AI in education.
The importance of leveraging AI in education cannot be overstated, and this conference aimed to address the pressing need for innovative practices and advancements in the field. The proceedings of AIET 2025, captured in this edited book, delve into five main sections to provide a comprehensive overview of the current landscape, emerging trends, innovations, theory, applications, challenges, and opportunities in AI in education research.
Throughout this book, there is a recurring theme of aligning AI advancements with the overarching goal of providing equal educational opportunities for all. The integration of AI in education holds the promise of addressing disparities and enhancing learning experiences on a global scale.
In particular, the proceedings highlight the progress in Generative AI, a subfield that has shown remarkable strides in creating intelligent systems capable of generating content, from text to multimedia. The implications of Generative AI in education are vast, offering innovative solutions for personalized learning, content creation, and adaptive educational resources. It serves as a comprehensive guide to the current state of AI in education, offering a roadmap for future developments that align with the principles of inclusivity, accessibility, and excellence in education.
