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Intelligence Augmentation for Educators, Training Professionals, and Learners

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Adaptive Instructional Systems. Design and Evaluation (HCII 2021)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 12792))

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Abstract

“Learning” is a means to an end; the end is to perform. Tools aid human performance. Before electronic computers became commercially available, the term “computer” meant “one who computes”: a person performing mathematical calculations. Humans no longer need to do parts of a task that computers or machines can do well. In many industries, intelligent machines with advanced hardware or software have been exploited to augment human performance. In comparison, education and training industries have yet to realize the potential of intelligence augmentation. In this paper, we review case studies of Intelligence Augmentation in industry and in educational institutions, considering common barriers to adoption in the latter. We also explore the possibilities of collaboration between humans and intelligent machines based on Industry 4.0 tools and techniques. Based on industry examples, we propose a model for building collaboration between humans and intelligent machines for improved performance in the development and delivery of teaching and learning.

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Authors and Affiliations

  1. Kaplan Open Learning, City Exchange, 11 Albion Street, Leeds, LS1 5ES, UK

    Nkaepe Olaniyi

  2. Classroom Aid Inc., 11100 Chateau Hill, Austin, TX, 78750, USA

    Jessie Chuang

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  1. Nkaepe Olaniyi
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  2. Jessie Chuang
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Correspondence to Nkaepe Olaniyi .

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  1. Soar Technology, Inc., Orlando, FL, USA

    Robert A. Sottilare

  2. Fraunhofer FKIE, Wachtberg, Germany

    Jessica Schwarz

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Olaniyi, N., Chuang, J. (2021). Intelligence Augmentation for Educators, Training Professionals, and Learners. In: Sottilare, R.A., Schwarz, J. (eds) Adaptive Instructional Systems. Design and Evaluation. HCII 2021. Lecture Notes in Computer Science(), vol 12792. Springer, Cham. https://doi.org/10.1007/978-3-030-77857-6_15

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  • DOI: https://doi.org/10.1007/978-3-030-77857-6_15

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