Artificial Intelligence in Education Technologies: New Development and Innovative Practices : Proceedings of 2024 5th International Conference on Artificial Intelligence in Education Technology / / edited by Tim Schlippe, Eric C. K. Cheng, Tianchong Wang

• Record Nr.: UNINA9910983388103321
• Autore: Schlippe Tim
• Pubbl/distr/stampa: Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025
• ISBN: 9789819792559; 981979255X
• Edizione: [1st ed. 2025.]
• Descrizione fisica: 1 online resource (588 pages)
• Collana: Lecture Notes on Data Engineering and Communications Technologies, , 2367-4520 ; ; 228
• Altri autori (Persone): ChengEric C. K; WangTianchong
• Disciplina: 006.3
• Soggetti: Education - Data processing; Educational technology; Natural language processing (Computer science); Artificial intelligence; Education - Research; Data mining; Computers and Education; Digital Education and Educational Technology; Natural Language Processing (NLP); Artificial Intelligence; Research Methods in Education; Data Mining and Knowledge Discovery
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Nota di contenuto: 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.
• Sommario/riassunto: This book is a collection of selected research papers presented at the ; 2024 5th International Conference on Artificial Intelligence in Education Technology (AIET 2024), held in Barcelona, Spain, on July 29 - 31, 2024. AIET establishes a platform for AI in education researchers to present research, exchange innovative ideas, propose new models, as well as demonstrate advanced methodologies and novel systems. It is a timely and up-to-date publication responsive to the rapid development of AI technologies, practices and their increasingly complex interplay with the education domain. It promotes the cross-fertilisation of knowledge and ideas from researchers in various fields to construct the interdisciplinary research area of AI in Education. These subject areas include computer science, cognitive science, education, learning sciences, educational technology, psychology, philosophy, sociology, anthropology and linguistics. The feature of this book will contribute from diverse perspectives to form a dynamic picture of AI in Education. It also includes various domain-specific areas for which AI and other education technology systems have been designed or used in an attempt to address challenges and transform educational practice. Education stands as a cornerstone for societal progress, and ensuring universal access to quality education is integral to achieving Goal 4 of the United Nations' Sustainable Development Goals (SDGs). The goal is to ensure inclusive and equitable quality education for all by 2030. This involves not only expanding access to education but also improving the quality of education to promote lifelong learning opportunities. AI has the potential to significantly contribute to the achievement of Goal 4. It is committed to exploring how AI may play a role in bringing more innovative practices, transforming education, and triggering an exponential leap towards the achievement of the Education 2030 Agenda. Providing broad coverage of recent technology-driven advances and addressing a number of learning-centric themes, the book is an informative and useful resource for researchers, practitioners, education leaders and policy-makers who are involved or interested in AI and education.