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Artificial intelligence in education : emerging technologies : proceedings of 2021 2nd International Conference on Artificial Intelligence in Education Technology / Eric C.K. Cheng, Rekha B. Koul, Tianchong Wang, Xinguo Yu, editors.

9789811675270 (electronic bk.)
9811675279 (electronic bk.)
9789811675263
9811675260

Singapore : Springer, 2022.

English

1 online resource (1 volume) : illustrations (black and white, and color).

10.1007/978-981-16-7527-0 doi

TA347.A78

371.33/463

This edited book is a collection of selected research papers presented at the 2021 2nd International Conference on Artificial Intelligence in Education Technology (AIET 2021), held in Wuhan, China on July 2-4, 2021. 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. Rapid developments in artificial intelligence (AI) and the disruptive potential of AI in educational use has drawn significant attention from the education community in recent years. For educators entering this uncharted territory, many theoretical and practical questions concerning AI in education are raised, and issues on AIs technical, pedagogical, administrative and socio-cultural implications are being debated. The book provides a comprehensive picture of the current status, emerging trends, innovations, theory, applications, challenges and opportunities of current AI in education research. This timely publication is well-aligned with UNESCOs Beijing Consensus on Artificial Intelligence (AI) and Education. It is committed to exploring how best to prepare our students and harness emerging technologies for achieving the Education 2030 Agenda as we move towards an era in which AI is transforming many aspects of our lives. Providing a 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.

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Lecture notes on data engineering and communications technologies ; v. 104.

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