Artificial Intelligence in Education Technologies: New Development and Innovative Practices
Proceedings of 2025 6th International Conference on Artificial Intelligence in Education Technology
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Beschreibung
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.
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.
Is a timely publication that is responsive to rapid development of AI technologies in the education field Presents research from diverse academic perspectives concerning AI in education Brings together scholars reflecting on new technological developments and innovative pedagogical practices
Autor*in
Tim Schlippe
Themen in »Artificial Intelligence in Education Technologies: New Development and Innovative Practices«
Artificial Intelligence AI in Education Education Technology Smart Learning Intelligent and Interactive Technologies Online Education Big Data Machine Learning Deep Learning MOOC Flipped Classroom Intelligent Tutoring System Prompting Generative AI