Notional machines in computing education: the education of attention
Publication date
2020
Authors
Fincher, Sally
Jeuring, J.T.
Miller, Craig S.
Donaldson, Peter
du Boulay, Benedict
Hauswirth, Matthias
Hellas, Arto
Hermans, Felienne
Lewis, Colleen
Mühling, Andreas
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Supervisors
Document Type
Part of book
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Abstract
This report defines notional machines (NMs), and provides a series of definitional characteristics by which they may be identified. Over several sections, it includes a first-hand report of the origin of NMs, reports a systematic literature review to track the use and development of the concept, and presents a small collection of examples collected through interviews with experienced teachers. Additionally, the report presents NMs in a common format, and makes some preliminary explorations of their use in practice, including examples of instructors using multiple NMs in sequence. Approach and method are fully detailed in evidential appendices, to support replication of results and adoption/adaptation of practice.
Keywords
Notional Machines, Computing education
Citation
Fincher, S, Jeuring, J T, Miller, C S, Donaldson, P, du Boulay, B, Hauswirth, M, Hellas, A, Hermans, F, Lewis, C, Mühling, A, Pearce, J L & Petersen, A 2020, Notional machines in computing education: the education of attention. in ITiCSE-WGR '20: Proceedings of the Working Group Reports on Innovation and Technology in Computer Science Education (ITiCSE-WGR ’20). Association for Computing Machinery, pp. 21-50. https://doi.org/10.1145/3437800.3439202