Titlebook: Bridging Human Intelligence and Artificial Intelligence; Mark V. Albert,Lin Lin,Lemoyne S. Dunn Book 2022 Association for Educational Comm

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Management von Verfügungsrechtenm tasks are object recognition, low-level processing, representation, model construction, and matching subtasks. One of the classical problems addressed by machine vision is object recognition determining whether or not the image data contains some specific object, feature, or activity. Object recog

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https://doi.org/10.1007/978-3-8350-9066-8he success, a surge in the availability of unstructured data over the last decade has motivated the exploration of new approaches to process and analyze unstructured data. Natural language processing (NLP) concerns how computers can address the problem of analyzing natural language, a ubiquitous for

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https://doi.org/10.1007/978-3-8350-9066-8er, the authors first provide the rationale of AI application in education, and then briefly review the learning analytics and machine learning at the technological foundation of AI educational applications. By reviewing the available AI educational products and services from the perspectives of edu

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https://doi.org/10.1007/978-3-8350-9066-8 people. With the growing popularity of virtual reality and the ideations of implementations for education, it is important to consider both the possible applications and unintended consequences of the technology. Critics of proposed educational implementations of virtual reality are concerned with

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Das Wichtigste über Webprojekte00s by the French physicist André-Marie Ampère in his attempt to classify it as the science of the control governments (Britannica, 2014). The term was quickly forgotten, and it took nearly one century for it to be used again. The American mathematician Norbert Wiener described it in his book as “th

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