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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 AI’s 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 UNESCO’s 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.
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 AI's 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 UNESCO's 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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Image and Video Technology - 7th Pacific-Rim Symposium, PSIVT 2015, Auckland, New Zealand, November 25-27, 2015, Revised Selected Papers (Paperback, 1st ed. 2016)
Thomas Braunl, Brendan Mccane, Mariano Rivera, Xinguo Yu
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R1,743
Discovery Miles 17 430
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Ships in 10 - 15 working days
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This book constitutes the thoroughly refereed post-conference
proceedings of the 7th Pacific Rim Symposium on Image and Video
Technology, PSIVT 2015, held in Auckland, New Zealand, in November
2015. The total of 61 revised papers was carefully reviewed and
selected from 133 submissions. The papers are organized in topical
sections on color and motion, image/video coding and transmission,
computational photography and arts, computer vision and
applications, image segmentation and classification, video
surveillance, biomedical image processing and analysis, object and
pattern recognition, computer vision and pattern recognition,
image/video processing and analysis, and pattern recognition.
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