research-article

Improving the mental models held by novice programmers using cognitive conflict and jeliot visualisations

Authors:

Murray WoodAuthors Info & Claims

ITiCSE '09: Proceedings of the 14th annual ACM SIGCSE conference on Innovation and technology in computer science education

Pages 166 - 170

https://doi.org/10.1145/1562877.1562931

Published: 06 July 2009 Publication History

Abstract

Recent research has found that many novice programmers often hold non-viable mental models of basic programming concepts which can limit their potential to develop appropriate programming skills. Previous work by the authors suggests that a teaching model that integrates cognitive conflict and program visualisation can help novices formulate appropriate mental models. This paper first outlines a 'concepts roadmap' that provides an ordered approach to learning programming concepts allowing students to build on fundamental base knowledge. It then reports the results of a series of studies investigating the use of the Jeliot visualisation tool as the visualisation component of the proposed learning model when applied to these concepts. The findings include: the ease with which Jeliot can be tailored to visualise a range of concepts using a variety of examples; the Jeliot visualisation of object reference was too complex for CS1 students; further evidence that CS1 students struggle to develop appropriate understanding of a range of key programming concepts; and, further evidence that an integrated cognitive conflict/visualisation strategy can help students develop an appropriate understanding of key programming concepts.

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Cited By

Poitras ECharles Crane BDempsey DSiegel AFarion C(2024)Programming Language Learning in K-12 EducationEmpowering STEM Educators With Digital Tools10.4018/979-8-3693-9806-7.ch010(227-260)Online publication date: 1-Nov-2024
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Sirazitdinov ISucci GIvanov V(2020)A Systematic Literature Review of Studies Related to Mental Activities of Software Developers2020 International Conference Nonlinearity, Information and Robotics (NIR)10.1109/NIR50484.2020.9290239(1-11)Online publication date: 3-Dec-2020
https://doi.org/10.1109/NIR50484.2020.9290239
Bettin BMcCartney RPetersen ARobins AMoskal AMcCartney RRobins A(2019)Toward Understanding and Enhancing Novice Students' Mental Models in Computer ScienceProceedings of the 2019 ACM Conference on International Computing Education Research10.1145/3291279.3339434(323-324)Online publication date: 30-Jul-2019
https://dl.acm.org/doi/10.1145/3291279.3339434
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Index Terms

Improving the mental models held by novice programmers using cognitive conflict and jeliot visualisations
1. Software and its engineering
  1. Software creation and management
    1. Software development techniques

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cover image ACM Conferences

ITiCSE '09: Proceedings of the 14th annual ACM SIGCSE conference on Innovation and technology in computer science education

July 2009

428 pages

ISBN:9781605583815

DOI:10.1145/1562877

General Chair:
Patrick Brézillon
UPMC, France
,
Program Chairs:
Ingrid Russell
University of Hartford, USA
,
Jean-Marc Labat
UPMC, France

ACM SIGCSE Bulletin Volume 41, Issue 3
ITiCSE '09
September 2009
403 pages
ISSN:0097-8418
DOI:10.1145/1595496
Issue’s Table of Contents

Copyright © 2009 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 06 July 2009

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ITiCSE '09: Annual Conference on Innovation and Technology in Computer Science Education

July 6 - 9, 2009

Paris, France

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ITiCSE '09 Paper Acceptance Rate 66 of 205 submissions, 32%;

Overall Acceptance Rate 552 of 1,613 submissions, 34%

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Cited By

Poitras ECharles Crane BDempsey DSiegel AFarion C(2024)Programming Language Learning in K-12 EducationEmpowering STEM Educators With Digital Tools10.4018/979-8-3693-9806-7.ch010(227-260)Online publication date: 1-Nov-2024
https://doi.org/10.4018/979-8-3693-9806-7.ch010
Sirazitdinov ISucci GIvanov V(2020)A Systematic Literature Review of Studies Related to Mental Activities of Software Developers2020 International Conference Nonlinearity, Information and Robotics (NIR)10.1109/NIR50484.2020.9290239(1-11)Online publication date: 3-Dec-2020
https://doi.org/10.1109/NIR50484.2020.9290239
Bettin BMcCartney RPetersen ARobins AMoskal AMcCartney RRobins A(2019)Toward Understanding and Enhancing Novice Students' Mental Models in Computer ScienceProceedings of the 2019 ACM Conference on International Computing Education Research10.1145/3291279.3339434(323-324)Online publication date: 30-Jul-2019
https://dl.acm.org/doi/10.1145/3291279.3339434
Strömbäck FMannila LAsplund MKamkar MMcCartney RPetersen ARobins AMoskal AMcCartney RRobins A(2019)A Student's View of Concurrency - A Study of Common Mistakes in Introductory Courses on ConcurrencyProceedings of the 2019 ACM Conference on International Computing Education Research10.1145/3291279.3339415(229-237)Online publication date: 30-Jul-2019
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Shaari HAhmed N(2018)Improving Performance and Progression of Novice Programmers: Factors ConsiderationsInternational Journal of Information and Education Technology10.18178/ijiet.2018.8.1.10038:1(7-10)Online publication date: 2018
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Luxton-Reilly ASimon Albluwi IBecker BGiannakos MKumar AOtt LPaterson JScott MSheard JSzabo CRößling GScharlau B(2018)Introductory programming: a systematic literature reviewProceedings Companion of the 23rd Annual ACM Conference on Innovation and Technology in Computer Science Education10.1145/3293881.3295779(55-106)Online publication date: 2-Jul-2018
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Hidalgo-Cespedes JMarin-Raventos GLara-Villagran V(2015)Student understanding of the C++ notional machine through traditional teaching with conceptual contraposition and program memory tracing2015 Latin American Computing Conference (CLEI)10.1109/CLEI.2015.7360049(1-8)Online publication date: Oct-2015
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Hijon-Neira RPerez-Marin DPizarro CConnolly C(2020)The Effects of a Visual Execution Environment and Makey Makey on Primary School Children Learning Introductory Programming ConceptsIEEE Access10.1109/ACCESS.2020.30416868(217800-217815)Online publication date: 2020
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Katz AShmallo R(2016)Learning from Errors as a Pedagogic Approach for Reaching a Higher Conceptual Level in Database ModelingAdvanced Information Systems Engineering Workshops10.1007/978-3-319-39564-7_9(93-102)Online publication date: 7-Jun-2016
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Liu DXu SLiu H(2013)An Empirical Study on Novice Programmer’s Behaviors with Analysis of KeystrokesInternational Journal of Software Innovation10.4018/ijsi.20130101061:1(68-87)Online publication date: 1-Jan-2013
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