Notional Machines in Computing Education: The Education of Attention

Sally Fincher, Johan Jeuring, Craig S. Miller, Peter Donaldson, Benedict Du Boulay, Matthias Hauswirth, Arto Hellas, Felienne Hermans, Colleen Lewis, Andreas Mühling, Janice L. Pearce, Andrew Petersen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish (US)
Title of host publicationITiCSE-WGR 2020 - Proceedings of the Working Group Reports on Innovation and Technology in Computer Science Education
PublisherAssociation for Computing Machinery
Pages21-50
Number of pages30
ISBN (Electronic)9781450382939
DOIs
StatePublished - Jun 17 2020
Event2020 Working Group Reports on Innovation and Technology in Computer Science Education, ITiCSE-WGR 2020 - Virtual, Online, Norway
Duration: Jun 17 2020Jun 18 2020

Publication series

NameAnnual Conference on Innovation and Technology in Computer Science Education, ITiCSE
ISSN (Print)1942-647X

Conference

Conference2020 Working Group Reports on Innovation and Technology in Computer Science Education, ITiCSE-WGR 2020
CountryNorway
CityVirtual, Online
Period6/17/206/18/20

Keywords

  • computing education
  • notional machines

ASJC Scopus subject areas

  • Management of Technology and Innovation
  • Education

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