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

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussa › Conference article in proceedings › Scientific › vertaisarvioitu

12 Sitaatiot (Scopus)

Abstrakti

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.

Alkuperäiskieli	Englanti
Otsikko	ITiCSE 2020 - Proceedings of the 2020 ACM Conference on Innovation and Technology in Computer Science Education
Kustantaja	ACM
Sivut	502-503
Sivumäärä	2
ISBN (elektroninen)	9781450368742
DOI - pysyväislinkit	https://doi.org/10.1145/3341525.3394988
Tila	Julkaistu - 15 kesäk. 2020
OKM-julkaisutyyppi	A4 Artikkeli konferenssijulkaisussa
Tapahtuma	Annual Conference on Innovation and Technology in Computer Science Education - Trondheim, Norja Kesto: 15 kesäk. 2020 → 19 kesäk. 2020 Konferenssinumero: 25

Conference

Conference	Annual Conference on Innovation and Technology in Computer Science Education
Lyhennettä	ITiCSE
Maa/Alue	Norja
Kaupunki	Trondheim
Ajanjakso	15/06/2020 → 19/06/2020

Pääsy asiakirjaan

10.1145/3341525.3394988

https://research.ou.nl/en/publications/capturing-and-characterising-notional-machinesLisenssi: Muu

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Siteeraa tätä

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. teoksessa ITiCSE 2020 - Proceedings of the 2020 ACM Conference on Innovation and Technology in Computer Science Education (Sivut 502-503). ACM. https://doi.org/10.1145/3341525.3394988

@inproceedings{169c6def836b43848affa8a06da624c6,

title = "Capturing and Characterising Notional Machines",

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.",

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",

year = "2020",

month = jun,

day = "15",

doi = "10.1145/3341525.3394988",

language = "English",

pages = "502--503",

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

publisher = "ACM",

address = "United States",

note = "Annual Conference on Innovation and Technology in Computer Science Education, ITiCSE ; Conference date: 15-06-2020 Through 19-06-2020",

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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. julkaisussa ITiCSE 2020 - Proceedings of the 2020 ACM Conference on Innovation and Technology in Computer Science Education. ACM, Sivut 502-503, Annual Conference on Innovation and Technology in Computer Science Education, Trondheim, Norja, 15/06/2020. 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. ACM, 2020. s. 502-503.

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussa › Conference article in proceedings › Scientific › vertaisarvioitu

TY - GEN

T1 - Capturing and Characterising Notional Machines

AU - Fincher, Sally

AU - Jeuring, Johan

AU - Miller, Craig S.

AU - Donaldson, Peter

AU - Du Boulay, Benedict

AU - Hauswirth, Matthias

AU - Hellas, Arto

AU - Hermans, Felienne

AU - Lewis, Colleen

AU - Mühling, Andreas

AU - Pearce, Janice L.

AU - Petersen, Andrew

N1 - Conference code: 25

PY - 2020/6/15

Y1 - 2020/6/15

N2 - 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.

AB - 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.

KW - Notional machines

KW - PCK

KW - pedagogical practice

KW - signature pedagogies

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U2 - 10.1145/3341525.3394988

DO - 10.1145/3341525.3394988

M3 - Conference article in proceedings

AN - SCOPUS:85086474891

SP - 502

EP - 503

BT - ITiCSE 2020 - Proceedings of the 2020 ACM Conference on Innovation and Technology in Computer Science Education

PB - ACM

T2 - Annual Conference on Innovation and Technology in Computer Science Education

Y2 - 15 June 2020 through 19 June 2020

ER -

Capturing and Characterising Notional Machines

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Conference

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