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Quantitative correlation between ability to compute and student performance in a primary school

Authors:

Osvaldo L. Oliveira,

Maria C. Nicoletti,

Luis M. del Val CuraAuthors Info & Claims

SIGCSE '14: Proceedings of the 45th ACM technical symposium on Computer science education

Pages 505 - 510

https://doi.org/10.1145/2538862.2538890

Published: 05 March 2014 Publication History

Abstract

Many studies have provided qualitative arguments for the premise that the ability to compute is fundamental and therefore should be treated at all levels of education. This work presents a quantitative indication of the validity of this premise for primary school students. In order to precisely define what ability a student should have to use a model of computation to compute, this work reports an experimental study that shows a significant correlation between the student's ability to compute and his/her academic performance in a primary school.

References

[1]

Aho, A. V. 2011. Computation and Computational Thinking. Ubiquity 2011, January (Jan. 2011), article no. 1. DOI=10.1145/1922681.1922682.

[2]

Basawapatna, A., Repenning, L. and Lewis, C. 2013. The Simulation Creation Toolkit: An Initial Exploration Into Making Programming Accessible While Preserving Computational Thinking. In Proceeding of the 44th ACM Technical Symposium on Computer Science Education (Denver, Colorado, USA, March 06 - 09, 2013). SIGCSE'13. ACM, New York, NY, 501--506. DOI=10.1145/2445196.2445346.

Digital Library

[3]

Basawapatna, A, Repenning, A., Koh, K. H. and Nickerson, H. 2013. The Zones of Proximal Flow: Guiding Students Through a Space of Computational Thinking Skills and Challenges. In Proceedings of the Ninth Annual International ACM Conference on International Computing Education Research (San Diego, California, USA, August 12 - 14, 2013). ICER'13. ACM, New York, NY, 67--74. DOI= 10.1145/2493394.2493404.

Digital Library

[4]

Bort, H. and Brylow, D. 2013. CS4 Impact: Measuring Computational Thinking Concepts Present in CS4HS Participant Lesson Plans. In Proceeding of the 44th ACM Technical Symposium on Computer Science Education (Denver, Colorado, USA, March 06 - 09, 2013). SIGCSE'13. ACM, New York, NY, 427--432. DOI=10.1145/2445196.2445323.

Digital Library

[5]

Gouws, L., Bradshaw, K. and Wentworth, P. 2013. Computational Thinking in Educational Activities. In Proceedings of the 18th Annual Joint Conference on Innovation and Technology in Computer Science Education (Canterbury, England, UK, July 01 - 03, 2013). ITiCSE'13. ACM, New York, NY, 10--15. DOI=10.1145/2462476.2466518.

Digital Library

[6]

Grover, S. and Pea, R. 2013. Computational Thinking in K'12: A Review of the State of the Field. Educational Researcher 42, 1, 38--43. DOI=10.3102/0013189X12463051.

[7]

Guzdial, M. 2009. Teaching Computing to Everyone. Communications of the ACM 52, 5 (May 2009), 31--33. DOI=10.1145/1506409.1506420.

Digital Library

[8]

Hu, C. 2011. Computational Thinking: what it might mean and what we might do about it. In Proceedings of the 16th Annual Joint Conference on Innovation and Technology in Computer Science Education (Darmstadt, Germany, June 27 - 29, 2011). ITiCSE'11. ACM, New York, NY, 223--227. DOI=10.1145/1999747.1999811.

Digital Library

[9]

Lu, J. J. and Fletcher, G. H. L. 2009. Thinking about Computational Thinking. In Proceedings of the 40th ACM Technical Symposium on Computer Science Education (Chattannoga, Tennesse, USA, March 03 - 07, 2009). SIGCSE'09. ACM, New York, NY, 260--264. DOI=10.1145/1508865.1508959.

Digital Library

[10]

Miles, J. and Shevlin, M. 2004. Applying Regression and Correlation: A Guide for Students and Researchers. Sage Publications, London, UK.

[11]

Oliveira, O. L. 2012. Statistical Evidence of the Correlation between Mental Ability to Compute and Student Performance in Undergraduate Courses. In Proceedings of the 17th Annual Joint Conference on Innovation and Technology in Computer Science Education (Haifa, Israel, July 03 - 05, 2012). ITiCSE'12. ACM, New York, NY, 111--115. DOI=10.1145/2325296.2325326.

Digital Library

[12]

Papert. S. 1993. Mindstorms: children, computers, and powerful ideas. 2nd ed. Basic Books, New York, USA.

[13]

Qualls, J. A. and Sherrell, L. B. 2010. Why Computational Thinking Should be Integrated into the Curriculum. Journal of Computing Sciences in Colleges, 25, 5 (May 2010), 66--71.

Digital Library

[14]

Settle, A. 2011. The Computational Thinking across the Curriculum Workshop. In Proceedings of the 2011 Conference on Information Technology Education (West Point, New York, USA, October 20--22, 2011). SIGITE'11, ACM, New York, NY, 311--312. DOI=10.1145/2047594.2047678.

Digital Library

[15]

Settle, A., Franke, B., Hansen, R., Spaltro, F., Jurisson, C., Rennert-May, C. and Wildeman, B. 2012. Infusing Computational Thinking into the Middle- and High-School Curriculum. In Proceedings of the 17th Annual Joint Conference on Innovation and Technology in Computer Science Education (Haifa, Israel, July 03 - 05, 2012). ITiCSE'12. ACM, New York, NY, 22--27. DOI=10.1145/2325296.2325306.

Digital Library

[16]

Turing, A. M. 1936. On Computable Numbers, with an Application to the Entscheidungsproblem. In Proceedings of the London Mathematical Society (London, UK, 1936), Ser. 2, vol. 42, 230--265. {Also available on-line at http://www.cs.ox.ac.uk/activities/ieg/e-library/sources/tp2-ie.pdf (August 29th, 2013)}.

[17]

Walden, J., Doyle, M., Garns, R and Hart, Z. 2013. An Informatics Perspective on Computational Thinking. In Proceedings of the 18th Annual Joint Conference on Innovation and Technology in Computer Science Education (Canterbury, England, UK, July 01 - 03, 2013). ITiCSE'13. ACM, New York, NY, 4--9. DOI=10.1145/2462476.2483797.

Digital Library

[18]

Webb, H. C. and Rosson, M. B. 2013 Using Scaffolded Examples to Teach Computational Thinking Concepts. In Proceeding of the 44th ACM Technical Symposium on Computer Science Education (Denver, Colorado, USA, March 06 - 09, 2013). SIGCSE'13. ACM, New York, NY, 95--100. DOI=10.1145/2445196.2445227.

Digital Library

[19]

Werner, L., Denner, J., Campe, S. and Kawamoto, D. C. 2012. The Fairy Performance Assessment: Measuring Computational Thinking in Middle School. In Proceedings of the 43rd ACM technical symposium on Computer Science Education (Raleigh, North Carolina, USA, February29-March 3, 2012). SIGCSE'12. ACM, New York, NY, 215--220. DOI=10.1145/2157136.2157200.

Digital Library

[20]

Wing, J. 2006. Computational Thinking. Communications of the ACM 49, 3 (Mar. 2006), 33--35. DOI=10.1145/1118178.1118215.

Digital Library

Cited By

Arslanyilmaz ABriley MBoerio GPetridis KIlyas R(2024)Assessing the Efficacy of an Accessible Computing Curriculum for Students with Autism Spectrum DisordersMultimodal Technologies and Interaction10.3390/mti80200118:2(11)Online publication date: 9-Feb-2024
https://doi.org/10.3390/mti8020011
Arslanyilmaz ABriley MBoerio GPetridis KIlyas RYu F(2024)The Impact of a Computing Curriculum Accessible to Students with ASD on the Development of Computing ArtifactsKnowledge10.3390/knowledge40100054:1(85-95)Online publication date: 5-Mar-2024
https://doi.org/10.3390/knowledge4010005
Arslanyilmaz ASullins J(2024)Eye-gaze data to measure students’ attention to and comprehension of computational thinking conceptsInternational Journal of Child-Computer Interaction10.1016/j.ijcci.2021.10041438:COnline publication date: 27-Feb-2024
https://dl.acm.org/doi/10.1016/j.ijcci.2021.100414
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Index Terms

Quantitative correlation between ability to compute and student performance in a primary school
1. Social and professional topics
  1. Professional topics
    1. Computing education
      1. Computing education programs
        Computer science education

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Information

Published In

cover image ACM Conferences

SIGCSE '14: Proceedings of the 45th ACM technical symposium on Computer science education

March 2014

800 pages

ISBN:9781450326056

DOI:10.1145/2538862

Conference Chairs:
J. D. Dougherty
J.D. Dougherty, Haverford College
,
Kris Nagel
Georgia Gwinnett College
,
Program Chairs:
Adrienne Decker
Rochester Institute of Technology
,
Kurt Eiselt
University of British Columbia

Copyright © 2014 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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SIGCSE: ACM Special Interest Group on Computer Science Education

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Association for Computing Machinery

New York, NY, United States

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Published: 05 March 2014

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SIGCSE '14

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SIGCSE

SIGCSE '14: The 45th ACM Technical Symposium on Computer Science Education

March 5 - 8, 2014

Georgia, Atlanta, USA

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SIGCSE '14 Paper Acceptance Rate 108 of 274 submissions, 39%;

Overall Acceptance Rate 1,595 of 4,542 submissions, 35%

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SIGCSE TS 2025

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Cited By

Arslanyilmaz ABriley MBoerio GPetridis KIlyas R(2024)Assessing the Efficacy of an Accessible Computing Curriculum for Students with Autism Spectrum DisordersMultimodal Technologies and Interaction10.3390/mti80200118:2(11)Online publication date: 9-Feb-2024
https://doi.org/10.3390/mti8020011
Arslanyilmaz ABriley MBoerio GPetridis KIlyas RYu F(2024)The Impact of a Computing Curriculum Accessible to Students with ASD on the Development of Computing ArtifactsKnowledge10.3390/knowledge40100054:1(85-95)Online publication date: 5-Mar-2024
https://doi.org/10.3390/knowledge4010005
Arslanyilmaz ASullins J(2024)Eye-gaze data to measure students’ attention to and comprehension of computational thinking conceptsInternational Journal of Child-Computer Interaction10.1016/j.ijcci.2021.10041438:COnline publication date: 27-Feb-2024
https://dl.acm.org/doi/10.1016/j.ijcci.2021.100414
Arslanyilmaz ABriley MBoerio GPetridis KIlyas R(2023)The Effects of an Accessible Computing Curriculum for Students with Autism Spectrum Disorders2023 IEEE Frontiers in Education Conference (FIE)10.1109/FIE58773.2023.10343392(1-6)Online publication date: 18-Oct-2023
https://doi.org/10.1109/FIE58773.2023.10343392
Nagumo HOomori YTakemura Y(2021)Mutual Improvement between Teaching Materials and Assessment Tools for K-12 Programming Education2021 IEEE Frontiers in Education Conference (FIE)10.1109/FIE49875.2021.9637257(1-8)Online publication date: 13-Oct-2021
https://dl.acm.org/doi/10.1109/FIE49875.2021.9637257
Rich KBinkowski TStrickland CFranklin DMalmi LKorhonen AMcCartney RPetersen AMalmi LMcCartney R(2018)DecompositionProceedings of the 2018 ACM Conference on International Computing Education Research10.1145/3230977.3230979(124-132)Online publication date: 8-Aug-2018
https://dl.acm.org/doi/10.1145/3230977.3230979
Tsukamoto HOomori YNagumo HTakemura YMonden AMatsumoto K(2017)Evaluating algorithmic thinking ability of primary schoolchildren who learn computer programming2017 IEEE Frontiers in Education Conference (FIE)10.1109/FIE.2017.8190609(1-8)Online publication date: 18-Oct-2017
https://dl.acm.org/doi/10.1109/FIE.2017.8190609
Hickmott DPrieto-Rodriguez EHolmes K(2017)A Scoping Review of Studies on Computational Thinking in K–12 Mathematics ClassroomsDigital Experiences in Mathematics Education10.1007/s40751-017-0038-84:1(48-69)Online publication date: 12-Dec-2017
https://doi.org/10.1007/s40751-017-0038-8
Buffum PFrankosky MBoyer KWiebe EMott BLester JAlphonce CTims JCaspersen MEdwards S(2016)Empowering All StudentsProceedings of the 47th ACM Technical Symposium on Computing Science Education10.1145/2839509.2844595(382-387)Online publication date: 17-Feb-2016
https://dl.acm.org/doi/10.1145/2839509.2844595
Rodrigues RAndrade WCampos L(2016)Can Computational Thinking help me? A quantitative study of its effects on education2016 IEEE Frontiers in Education Conference (FIE)10.1109/FIE.2016.7757409(1-8)Online publication date: Oct-2016
https://doi.org/10.1109/FIE.2016.7757409
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