Titlebook: Artificial Intelligence and Inclusive Education; Speculative Futures Jeremy Knox,Yuchen Wang,Michael Gallagher Book 2019 The Editor(s) (if

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特征

A Communication Model of Human–Robot Trust Development for Inclusive Educationuman users and robots can be a challenge for inclusive education, as females, minorities, and the less privileged individuals tend to report higher levels of the anticipated fear and distrust toward robots. In this chapter, we examine how communication affects human–robot trust in light of the verba

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Inclusive Education for Students with Chronic Illness—Technological Challenges and Opportunitiesthose specific challenges experienced by students with chronic illness. This chapter explores how artificial intelligence technologies can support the educational inclusion of people with chronic illness. Drawing on my own experiences of living and studying with ME (myalgic encephalomyelitis/chronic

樂意

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小蟲

Artificial Intelligence and the Mobilities of Inclusion: The Accumulated Advantages of 5G Networks aity of mobile technology, the complexity of the machine learning regimens needed to function within increasingly sophisticated 5G cellular networks, and the legions of professionals needed to initiate and maintain these AI and mobile ecosystems. The promise of artificial intelligence in inclusion is

Recess

Artificial Intelligence, Human Evolution, and the Speed of Learninga mechanism to carry out the instructions” (genes and metabolism). On this definition, computer viruses count as living systems as do artificial intelligences. Hawking explains that human evolution has speeded up. While “there has been no detectable change in human DNA”, “the amount of knowledge han

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https://doi.org/10.1007/978-981-13-8161-4Artificial Intelligence and Inclusion; A; I; and Inclusion; A; I; and Inclusive Education; Adaptive Softw

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978-981-13-8163-8The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor