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Characteristics of the mental representations of novice and expert programmers: an empirical study

Authors:

Susan Wiedenbeck,

Vikki Fix,

Jean ScholtzAuthors Info & Claims

International Journal of Man-Machine Studies, Volume 39, Issue 5

Pages 793 - 812

https://doi.org/10.1006/imms.1993.1084

Published: 01 November 1993 Publication History

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Yen RZhu JSuh SXia HZhao J(2024)CoLadder: Manipulating Code Generation via Multi-Level BlocksProceedings of the 37th Annual ACM Symposium on User Interface Software and Technology10.1145/3654777.3676357(1-20)Online publication date: 13-Oct-2024
https://dl.acm.org/doi/10.1145/3654777.3676357
Hoq MShi YLeinonen JBabalola DLynch CPrice TAkram BStephenson BStone JBattestilli LRebelsky SShoop L(2024)Detecting ChatGPT-Generated Code Submissions in a CS1 Course Using Machine Learning ModelsProceedings of the 55th ACM Technical Symposium on Computer Science Education V. 110.1145/3626252.3630826(526-532)Online publication date: 7-Mar-2024
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Aonzo SHan YMantovani ABalzarotti DCalandrino JTroncoso C(2023)Humans vs. machines in malware classificationProceedings of the 32nd USENIX Conference on Security Symposium10.5555/3620237.3620302(1145-1162)Online publication date: 9-Aug-2023
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Characteristics of the mental representations of novice and expert programmers: an empirical study

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cover image International Journal of Man-Machine Studies

International Journal of Man-Machine Studies Volume 39, Issue 5

Nov. 1993

174 pages

ISSN:0020-7373

Editors:
B. R. Gaines
Univ. of Calgary, Alberta, Canada
,
D. R. Hill
Univ. of Calgary, Alberta, Canada

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Academic Press Ltd.

United Kingdom

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Published: 01 November 1993

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Yen RZhu JSuh SXia HZhao J(2024)CoLadder: Manipulating Code Generation via Multi-Level BlocksProceedings of the 37th Annual ACM Symposium on User Interface Software and Technology10.1145/3654777.3676357(1-20)Online publication date: 13-Oct-2024
https://dl.acm.org/doi/10.1145/3654777.3676357
Hoq MShi YLeinonen JBabalola DLynch CPrice TAkram BStephenson BStone JBattestilli LRebelsky SShoop L(2024)Detecting ChatGPT-Generated Code Submissions in a CS1 Course Using Machine Learning ModelsProceedings of the 55th ACM Technical Symposium on Computer Science Education V. 110.1145/3626252.3630826(526-532)Online publication date: 7-Mar-2024
https://dl.acm.org/doi/10.1145/3626252.3630826
Aonzo SHan YMantovani ABalzarotti DCalandrino JTroncoso C(2023)Humans vs. machines in malware classificationProceedings of the 32nd USENIX Conference on Security Symposium10.5555/3620237.3620302(1145-1162)Online publication date: 9-Aug-2023
https://dl.acm.org/doi/10.5555/3620237.3620302
Khomokhoana PNel L(2023)A Framework to Assist Instructors Help Novice Programmers to Better Comprehend Source Code ─ A Decoding PerspectiveComputational Science and Its Applications – ICCSA 202310.1007/978-3-031-36805-9_44(677-693)Online publication date: 3-Jul-2023
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Albluwi IZeng H(2021)Novice Difficulties with Analyzing the Running Time of Short Pieces of CodeProceedings of the 23rd Australasian Computing Education Conference10.1145/3441636.3441855(1-10)Online publication date: 2-Feb-2021
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Weinman NFox AHearst MKitamura YQuigley AIsbister KIgarashi TBjørn PDrucker S(2021)Improving Instruction of Programming Patterns with Faded Parsons ProblemsProceedings of the 2021 CHI Conference on Human Factors in Computing Systems10.1145/3411764.3445228(1-4)Online publication date: 6-May-2021
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