research-article

Personalizing CS1 with robots

Authors:

Tucker BalchAuthors Info & Claims

ACM SIGCSE Bulletin, Volume 41, Issue 1

Pages 433 - 437

https://doi.org/10.1145/1539024.1509018

Published: 04 March 2009 Publication History

Abstract

We have developed a CS1 curriculum that uses a robotics context to teach introductory programming [1]. Core to our approach is that each student has their own personal robot. Our robot and software have been specifically developed to support the needs of a CS1 curriculum. We frame traditional problems (robot control) in terms that are personal, relevant, and fun. Initial trial classes have shown that our approach is successful and adaptable.

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Cited By

Gaskell PPavlasek JGao TNarula ALewis SJenkins O(2024)MBot: A Modular Ecosystem for Scalable Robotics Education2024 IEEE International Conference on Robotics and Automation (ICRA)10.1109/ICRA57147.2024.10610587(18294-18300)Online publication date: 13-May-2024
https://doi.org/10.1109/ICRA57147.2024.10610587
Bogaerts SWilliams BChen YNeville J(2023)AI and parallelism in CS1Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence and Thirty-Fifth Conference on Innovative Applications of Artificial Intelligence and Thirteenth Symposium on Educational Advances in Artificial Intelligence10.1609/aaai.v37i13.26876(15798-15806)Online publication date: 7-Feb-2023
https://dl.acm.org/doi/10.1609/aaai.v37i13.26876
Coşkunserçe O(2023)Comparing the use of block‐based and robot programming in introductory programming education: Effects on perceptions of programming self‐efficacyComputer Applications in Engineering Education10.1002/cae.2263731:5(1234-1255)Online publication date: 8-May-2023
https://doi.org/10.1002/cae.22637
Show More Cited By

Index Terms

Personalizing CS1 with robots
1. Social and professional topics
  1. Professional topics
    1. Computing education
      1. Computing education programs
        Computer science education

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Information & Contributors

Information

Published In

cover image ACM SIGCSE Bulletin

ACM SIGCSE Bulletin Volume 41, Issue 1

SIGCSE '09

March 2009

553 pages

ISSN:0097-8418

DOI:10.1145/1539024

Issue’s Table of Contents

SIGCSE '09: Proceedings of the 40th ACM technical symposium on Computer science education
March 2009
612 pages
ISBN:9781605581835
DOI:10.1145/1508865
General Chairs:
Sue Fitzgerald
Metropolitan State University
,
Mark Guzdial
Georgia Institute of Technology
,
Program Chairs:
Gary Lewandowski
Xavier University
,
Steven Wolfman
University of British Columbia

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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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 04 March 2009

Published in SIGCSE Volume 41, Issue 1

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Cited By

Gaskell PPavlasek JGao TNarula ALewis SJenkins O(2024)MBot: A Modular Ecosystem for Scalable Robotics Education2024 IEEE International Conference on Robotics and Automation (ICRA)10.1109/ICRA57147.2024.10610587(18294-18300)Online publication date: 13-May-2024
https://doi.org/10.1109/ICRA57147.2024.10610587
Bogaerts SWilliams BChen YNeville J(2023)AI and parallelism in CS1Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence and Thirty-Fifth Conference on Innovative Applications of Artificial Intelligence and Thirteenth Symposium on Educational Advances in Artificial Intelligence10.1609/aaai.v37i13.26876(15798-15806)Online publication date: 7-Feb-2023
https://dl.acm.org/doi/10.1609/aaai.v37i13.26876
Coşkunserçe O(2023)Comparing the use of block‐based and robot programming in introductory programming education: Effects on perceptions of programming self‐efficacyComputer Applications in Engineering Education10.1002/cae.2263731:5(1234-1255)Online publication date: 8-May-2023
https://doi.org/10.1002/cae.22637
Seng Lee NKumiawan OWei Choo KDe Mari MPerrault S(2022)Laboratory Activities for an Introductory Programming Course2022 IEEE International Conference on Teaching, Assessment and Learning for Engineering (TALE)10.1109/TALE54877.2022.00152(818-821)Online publication date: Dec-2022
https://doi.org/10.1109/TALE54877.2022.00152
Sobral S(2021)Teaching and Learning to Program: Umbrella Review of Introductory Programming in Higher EducationMathematics10.3390/math91517379:15(1737)Online publication date: 23-Jul-2021
https://doi.org/10.3390/math9151737
Kurniawan OLee NSockalingam N(2021)Is Augmented Reality Robot as Effective as Physical Robot in Motivating Students to Learn Programming?2021 IEEE International Conference on Engineering, Technology & Education (TALE)10.1109/TALE52509.2021.9678820(1-8)Online publication date: 5-Dec-2021
https://doi.org/10.1109/TALE52509.2021.9678820
Tian YAlhloul SShen FJi Y(2021)Motivating Computer Science Students in Lower-Division Undergraduate CurriculumITNG 2021 18th International Conference on Information Technology-New Generations10.1007/978-3-030-70416-2_37(291-296)Online publication date: 17-Feb-2021
https://doi.org/10.1007/978-3-030-70416-2_37
Crawford CGilbert J(2019)Brains and BlocksACM Transactions on Computing Education10.1145/333581519:4(1-27)Online publication date: 16-Jul-2019
https://dl.acm.org/doi/10.1145/3335815
Falkner KSheard J(2019)Pedagogic ApproachesThe Cambridge Handbook of Computing Education Research10.1017/9781108654555.016(445-480)Online publication date: 15-Feb-2019
https://doi.org/10.1017/9781108654555.016
(2019)The Cambridge Handbook of Computing Education Research10.1017/9781108654555Online publication date: 15-Feb-2019
https://doi.org/10.1017/9781108654555
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