Learnable Computing

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Gillies, Marco. 2021. 'Learnable Computing'. In: ACM CHI '21: CHI Conference on Human Factors in Computing Systems Extended Abstracts. Yokohama, Japan 8 – 13 May 2021. [Conference or Workshop Item]

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Official URL: https://dl.acm.org/doi/10.1145/3411763.3450386

Abstract or Description

We have to learn all new technologies and we continue to learn for as long as we use them and develop that use. Learning is therefore an integral part of human engagement with technology, as it is with all areas of life. This paper proposes that we should consider learning as an important part of all human computer interaction and that theories of learning can make an important contribution to HCI. It presents 6 vignettes that describe different ways in which this could happen: rethinking HCI concepts in terms of learning, applying learning theory to better understanding established ideas in HCI, using learning research to inform HCI practice, understanding how people learn software and inspiring us to rethink the aims of this discipline. This paper aims to start a conversation that could bring valuable new ideas into our "inter-discipline".

Item Type:

Conference or Workshop Item (Paper)

Identification Number (DOI):

https://doi.org/10.1145/3411763.3450386