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Tools for teaching introductory programming: what works?

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Martin CarlisleAuthors Info & Claims

SIGCSE '06: Proceedings of the 37th SIGCSE technical symposium on Computer science education

Pages 560 - 561

https://doi.org/10.1145/1121341.1121514

Published: 03 March 2006 Publication History

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References

[1]

Carlisle, M. C., Wilson, T. A., Humphries, J. W., and Hadfield, S. M. 2005. RAPTOR: a visual programming environment for teaching algorithmic problem solving. In Proceedings of the 36th SIGCSE Technical Symposium on Computer Science Education. ACM Press, 176--180.

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Rich, L., Perry, H., and Guzdial, M. 2004. A CS1 course designed to address interests of women. In Proceedings of the 35th SIGCSE Technical Symposium on Computer Science Education. ACM Press, 190--194.

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Cited By

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Asgari MTsai FMannila LStrömbäck FSadique K(2024)Students’ perspectives on using digital tools in programming coursesDiscover Education10.1007/s44217-024-00144-43:1Online publication date: 22-May-2024
https://doi.org/10.1007/s44217-024-00144-4
Wen FWu THsu W(2023)Toward improving student motivation and performance in introductory programming learning by Scratch: The role of achievement emotionsScience Progress10.1177/00368504231205985106:4Online publication date: 16-Oct-2023
https://doi.org/10.1177/00368504231205985
Xu SZhang AOney S(2023)How Pairing by Code Similarity Influences Discussions in Peer LearningExtended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544549.3585837(1-6)Online publication date: 19-Apr-2023
https://dl.acm.org/doi/10.1145/3544549.3585837
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Index Terms

Tools for teaching introductory programming: what works?
1. Social and professional topics
  1. Professional topics
    1. Computing education
      1. Computing education programs
        Computer science education

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Published In

SIGCSE '06: Proceedings of the 37th SIGCSE technical symposium on Computer science education

March 2006

612 pages

ISBN:1595932593

DOI:10.1145/1121341

Program Chairs:
Doug Baldwin
SUNY Geneseo
,
Paul Tymann
Rochester Institute of Technology
,
Susan Haller
SUNY Potsdam
,
Ingrid Russell
University of Hartford

ACM SIGCSE Bulletin Volume 38, Issue 1
March 2006
553 pages
ISSN:0097-8418
DOI:10.1145/1124706
Issue’s Table of Contents

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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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 03 March 2006

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SIGCSE06

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SIGCSE06: Technical Symposium on Computer Science Education

March 3 - 5, 2006

Texas, Houston, USA

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Overall Acceptance Rate 1,787 of 5,146 submissions, 35%

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Cited By

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Asgari MTsai FMannila LStrömbäck FSadique K(2024)Students’ perspectives on using digital tools in programming coursesDiscover Education10.1007/s44217-024-00144-43:1Online publication date: 22-May-2024
https://doi.org/10.1007/s44217-024-00144-4
Wen FWu THsu W(2023)Toward improving student motivation and performance in introductory programming learning by Scratch: The role of achievement emotionsScience Progress10.1177/00368504231205985106:4Online publication date: 16-Oct-2023
https://doi.org/10.1177/00368504231205985
Xu SZhang AOney S(2023)How Pairing by Code Similarity Influences Discussions in Peer LearningExtended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544549.3585837(1-6)Online publication date: 19-Apr-2023
https://dl.acm.org/doi/10.1145/3544549.3585837
Mishra DLugo RParish KTilden S(2023)Metacognitive Processes Involved in Human Robot Interaction in the School Learning EnvironmentHuman-Computer Interaction10.1007/978-3-031-35599-8_6(85-100)Online publication date: 9-Jul-2023
https://doi.org/10.1007/978-3-031-35599-8_6
Liu HHossain MAlnusair A(2022)Fostering Active Learning in Introductory Programming Courses by Utilizing Multiple Programming Tools and Enrichment ActivitiesProceedings of the 14th International Conference on Education Technology and Computers10.1145/3572549.3572610(379-385)Online publication date: 28-Oct-2022
https://dl.acm.org/doi/10.1145/3572549.3572610
Mashhadi AZolyomi AQuedado J(2022)A Case Study of Integrating Fairness Visualization Tools in Machine Learning EducationExtended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems10.1145/3491101.3503568(1-7)Online publication date: 27-Apr-2022
https://dl.acm.org/doi/10.1145/3491101.3503568
Mishra DParish KLugo RWang H(2021)A Framework for Using Humanoid Robots in the School Learning EnvironmentElectronics10.3390/electronics1006075610:6(756)Online publication date: 23-Mar-2021
https://doi.org/10.3390/electronics10060756
Demir F(2021)The effect of different usage of the educational programming language in programming education on the programming anxiety and achievementEducation and Information Technologies10.1007/s10639-021-10750-627:3(4171-4194)Online publication date: 21-Oct-2021
https://doi.org/10.1007/s10639-021-10750-6
Ray SHerrera-Cámara JRunyon MHammond T(2019)Flow2Code: Transforming Hand-Drawn Flowcharts into Executable Code to Enhance LearningInspiring Students with Digital Ink10.1007/978-3-030-17398-2_6(79-103)Online publication date: 27-Oct-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
https://doi.org/10.18178/ijiet.2018.8.1.1003
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Teaching Introductory Programming: A Quantitative Evaluation of Different Approaches