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AI Literacy Education for Nonengineering Undergraduates

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AI Literacy in K-16 Classrooms

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Abstract

AI literacy is in high demand across industries. Thus, being literate in or learning AI should no longer be viewed as a specialized field under engineering but an ability that penetrates all disciplines (Johri, 2020). An analogy to extend this argument is by viewing traditional literacy. We would expect not only linguistics students to be competent in literacy, which is the proficiency to read and write, but also an appropriate level of literacy across any majors. Similarly, students at all levels and disciplines should develop AI literacy to stay competent in today’s world.

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Authors and Affiliations

  1. Faculty of Education, University of Hong Kong, Hong Kong, Hong Kong

    Davy Tsz Kit Ng, Maggie Jiahong Su, Iris Heung Yue Yim, Maggie Shen Qiao & Samuel Kai Wah Chu

  2. Division of Integrative Systems and Design, Hong Kong University of Science and Technology, Hong Kong, China

    Jac Ka Lok Leung

Authors
  1. Davy Tsz Kit Ng
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  2. Jac Ka Lok Leung
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  3. Maggie Jiahong Su
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  4. Iris Heung Yue Yim
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  5. Maggie Shen Qiao
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  6. Samuel Kai Wah Chu
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Ng, D.T.K., Leung, J.K.L., Su, M.J., Yim, I.H.Y., Qiao, M.S., Chu, S.K.W. (2022). AI Literacy Education for Nonengineering Undergraduates. In: AI Literacy in K-16 Classrooms. Springer, Cham. https://doi.org/10.1007/978-3-031-18880-0_8

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  • DOI: https://doi.org/10.1007/978-3-031-18880-0_8

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-18879-4

  • Online ISBN: 978-3-031-18880-0

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