Capturing and Characterising Notional Machines

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

doi:10.1145/3341525.3394988

Capturing and Characterising Notional Machines

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 proceeding › Conference contribution › Academic › peer-review

Abstract

A notional machine is a pedagogic device to assist the understanding of some aspect of programs or programming. It is typically used to support explaining a programming construct, or the user-understandable semantics of a program. For example, a variable is like a box with a label, and assignment copies or moves a value into that box.

Original language	English
Title of host publication	ITiCSE 2020 - Proceedings of the 2020 ACM Conference on Innovation and Technology in Computer Science Education
Publisher	Association for Computing Machinery
Pages	502-503
Number of pages	2
ISBN (Electronic)	9781450368742
DOIs	https://doi.org/10.1145/3341525.3394988
Publication status	Published - 15 Jun 2020
Externally published	Yes
Event	25th ACM Conference on Innovation and Technology in Computer Science Education, ITiCSE 2020 - Trondheim, Norway Duration: 15 Jun 2020 → 19 Jun 2020

Publication series

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

Conference

Conference	25th ACM Conference on Innovation and Technology in Computer Science Education, ITiCSE 2020
Country/Territory	Norway
City	Trondheim
Period	15/06/20 → 19/06/20

Keywords

Notional machines
PCK
pedagogical practice
signature pedagogies

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10.1145/3341525.3394988

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Fincher, S., Jeuring, J., Miller, C. S., Donaldson, P., Du Boulay, B., Hauswirth, M., Hellas, A., Hermans, F., Lewis, C., Mühling, A., Pearce, J. L., & Petersen, A. (2020). Capturing and Characterising Notional Machines. In ITiCSE 2020 - Proceedings of the 2020 ACM Conference on Innovation and Technology in Computer Science Education (pp. 502-503). (Annual Conference on Innovation and Technology in Computer Science Education, ITiCSE). Association for Computing Machinery. https://doi.org/10.1145/3341525.3394988

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keywords = "Notional machines, PCK, pedagogical practice, signature pedagogies",

author = "Sally Fincher and Johan Jeuring and Miller, {Craig S.} and Peter Donaldson and {Du Boulay}, Benedict and Matthias Hauswirth and Arto Hellas and Felienne Hermans and Colleen Lewis and Andreas M{\"u}hling and Pearce, {Janice L.} and Andrew Petersen",

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doi = "10.1145/3341525.3394988",

language = "English",

series = "Annual Conference on Innovation and Technology in Computer Science Education, ITiCSE",

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booktitle = "ITiCSE 2020 - Proceedings of the 2020 ACM Conference on Innovation and Technology in Computer Science Education",

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Fincher, S, Jeuring, J, Miller, CS, Donaldson, P, Du Boulay, B, Hauswirth, M, Hellas, A, Hermans, F, Lewis, C, Mühling, A, Pearce, JL & Petersen, A 2020, Capturing and Characterising Notional Machines. in ITiCSE 2020 - Proceedings of the 2020 ACM Conference on Innovation and Technology in Computer Science Education. Annual Conference on Innovation and Technology in Computer Science Education, ITiCSE, Association for Computing Machinery, pp. 502-503, 25th ACM Conference on Innovation and Technology in Computer Science Education, ITiCSE 2020, Trondheim, Norway, 15/06/20. https://doi.org/10.1145/3341525.3394988

Capturing and Characterising Notional Machines. / Fincher, Sally; Jeuring, Johan; Miller, Craig S. et al.
ITiCSE 2020 - Proceedings of the 2020 ACM Conference on Innovation and Technology in Computer Science Education. Association for Computing Machinery, 2020. p. 502-503 (Annual Conference on Innovation and Technology in Computer Science Education, ITiCSE).

Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review

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AU - Hellas, Arto

AU - Hermans, Felienne

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AU - Mühling, Andreas

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Fincher S, Jeuring J, Miller CS, Donaldson P, Du Boulay B, Hauswirth M et al. Capturing and Characterising Notional Machines. In ITiCSE 2020 - Proceedings of the 2020 ACM Conference on Innovation and Technology in Computer Science Education. Association for Computing Machinery. 2020. p. 502-503. (Annual Conference on Innovation and Technology in Computer Science Education, ITiCSE). doi: 10.1145/3341525.3394988

Capturing and Characterising Notional Machines

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