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Creative Choice in Fifth Grade Computing Curriculum

Published: 15 June 2020 Publication History

Abstract

We examine the effects of creative choice in fifth grade computer science curriculum on students' engagement/preferences, performance, and self-efficacy (n=107). This work is rooted in evaluating creativity as a tool to increase engagement in elementary school computer science education by studying a group of one hundred fifth grade students at a public charter school in California. The work occurred within a year long computing curriculum focused on introducing students to programming. To experimentally evaluate creative choice over a six week period, we created several instances of two variants of worksheets for the students - creative worksheets and more rigid worksheets, alternating control and experimental groupings. After the treatment, surveys and quizzes were used to evaluate students' experiences and learning. We found that students benefit from a blend of creative and structured instructions and can feel a sense of ownership with even limited versions of creative choice. In addition, student performance was not affected by our different treatments.

References

[1]
[n.d.]. About Processing.js. http://processingjs.org/. Accessed: 2019-05--13.
[2]
[n.d.]. Bootstrap: equity, scale, rigor. https://www.bootstrapworld.org/. Accessed: 2019-05--11.
[3]
[n.d.]. Code.org and Diversity in Computer Science. https://code.org/diversity. Accessed: 2019-01--29.
[4]
[n.d.]. Data USA: Software Engineering. https://datausa.io/profile/cip/140903/#demographics. Accessed: 2018-01--29.
[5]
Efthimia Aivaloglou and Felienne Hermans. 2019. Early Programming Education and Career Orientation: The Effects of Gender, Self-Efficacy, Motivation and Stereotypes. In Proceedings of the 50th ACM Technical Symposium on Computer Science Education (SIGCSE '19). ACM, New York, NY, USA, 679--685.https://doi.org/10.1145/3287324.3287358
[6]
Albert Bandura. 2006. Guide for constructing self-efficacy scales. Self-efficacy beliefs of adolescents 5, 1 (2006), 307--337.
[7]
M. Boden. 2004. The Creative Mind: Myths and Mechanisms. Routledge, London.
[8]
Kapor Center and the Computer Science for California (CSforCA) coalition. [n.d.]. Computer Science In California's Schools: An Analysis of Access, Enrollment, and Equity. Accessed: 2019--15-08.
[9]
LaVar J. Charleston, Phillis L. George, Jerlando F. L. Jackson, Jonathan Berhanu, and Mauriell H. Amechi. 2014. Navigating underrepresented STEM spaces: Experiences of Black women in US computing science higher education programs who actualize success. Journal of Diversity in Higher Education 7, 3 (2014), 166 --176.
[10]
Sapna Cheryan, Victoria C. Plaut, Paul G. Davies, and Claude M. Steele. 2009.Ambient belonging: How stereotypical cues impact gender participation in computer science. Journal of Personality and Social Psychology 97, 6 (2009), 1045 --1060. http://search.ebscohost.com.ezproxy.lib.calpoly.edu/login.aspx?direct=true&db=pdh&AN=2009--22579-003&site=ehost-live
[11]
Sapna Cheryan, Sianna A. Ziegler, Amanda K. Montoya, and Lily Jiang. 2017.Why are some STEM fields more gender balanced than others?. Psychological Bulletin 143, 1 (2017), 1 -- 35. http://search.ebscohost.com.ezproxy.lib.calpoly.edu/login.aspx?direct=true&db=pdh&AN=2016--48466-001&site=ehost-live
[12]
David H. Cropley. [n.d.]. Promoting creativity and innovation in engineering education. Psychology of Aesthetics, Creativity, and the Arts 2 ([n. d.]), 161 -- 171.
[13]
Katie M. Davis, Zoë Wood, and John Wilcox. 2016. Eighteen Hours of Code with Fifth Grade Students (Abstract Only). In Proceedings of the 47th ACM Technical Symposium on Computing Science Education (SIGCSE '16). ACM, New York, NY, USA, 694--694. https://doi.org/10.1145/2839509.2850554
[14]
Ed. Edward B. Fiske. 1999. "Champions of Change: The Impact of the Arts on Learning.".
[15]
Carl I Fertman and Brian A Primack. 2009. Elementary student self efficacy scale development and validation focused on student learning, peer relations, and resisting drug use. 39 (2009), 23--38. Issue 1. https://doi.org/10.2190/DE.39.1.b
[16]
Diana Franklin, Gabriela Skifstad, Reiny Rolock, Isha Mehrotra, Valerie Ding, Alexandria Hansen, David Weintrop, and Danielle Harlow. 2017. Using Upper-Elementary Student Performance to Understand Conceptual Sequencing in a Blocks-based Curriculum. In Proceedings of the 2017 ACM SIGCSE Technical Symposium on Computer Science Education (SIGCSE '17). ACM, New York, NY, USA,231--236. https://doi.org/10.1145/3017680.3017760
[17]
Alexandria K. Hansen, Ashley Iveland, Cameron Carlin, Danielle B. Harlow,and Diana Franklin. 2016. User-Centered Design in Block-Based Programming:Developmental & Pedagogical Considerations for Children. In Proceedings of the 15th International Conference on Interaction Design and Children (IDC '16). ACM, New York, NY, USA, 147--156. https://doi.org/10.1145/2930674.2930699
[18]
Jerry Jinks and Vicky Morgan. 1999. Children's Perceived Academic Self-Efficacy: An Inventory Scale.The Clearing House 72, 4 (1999), 224--230. http://www.jstor.org/stable/30189583
[19]
Allison Master, Sapna Cheryan, and Andrew N. Meltzoff. 2016. Computing whether she belongs: Stereotypes undermine girls' interest and sense of belonging in computer science. Journal of Educational Psychology 108, 3 (2016), 424 -- 437.
[20]
K. Mork. 2019. Evaluating Creative Choice in K-12 Computer Science Education. Master's thesis. California Polytechnic State University, San Luis Obispo,https://digitalcommons.calpoly.edu/theses/2038.
[21]
Laurie T. O'Brien, Donna M. Garcia, Alison Blodorn, Glenn Adams, Elliott Hammer, and Claire Gravelin. 2019. An educational intervention to improve women's academic STEM outcomes: Divergent effects on well-represented vs underrepresented minority women. Cultural Diversity and Ethnic Minority Psychology(2019).
[22]
Paul R. Pintrich, Others And, National Center for Research to Improve Post-secondary Teaching, and MI. Learning, Ann Arbor. 1991. A Manual for the Use of the Motivated Strategies for Learning Questionnaire (MSLQ).(1991). http://search.ebscohost.com.ezproxy.lib.calpoly.edu/login.aspx?direct=true&db=eric&AN=ED338122&site=ehost-live
[23]
A. Quade. 2003. Development and validation of a computer science self-efficacy scale for CS0 courses and the group analysis of CS0 student self-efficacy. In Proceedings ITCC 2003. International Conference on Information Technology: Coding and Computing. 60--64. https://doi.org/10.1109/ITCC.2003.1197500
[24]
Katherine Rainey, Melissa Dancy, Roslyn Mickelson, Elizabeth Stearns, and Stephanie Moller. 2018. Race and gender differences in how sense of belonging influences decisions to major in STEM. International Journal of STEM Education 5, 1 (10 Apr 2018), 10. https://doi.org/10.1186/s40594-018-0115--6
[25]
David Rosen, Erik M. Schmidt, and Youngmoo E. Kim. 2013. Utilizing Music Technology as a Model for Creativity Development in K-12 Education. In Proceedings of the 9th ACM Conference on Creativity & Cognition. Association for Computing Machinery, New York, NY, USA, 341--344. https://doi.org/10.1145/2466627.2466670
[26]
Emmanuel Schanzer, Kathi Fisler, and Shriram Krishnamurthi. 2018. Assessing Bootstrap: Algebra Students on Scaffolded and Unscaffolded Word Problems. In Proceedings of the 49th ACM Technical Symposium on Computer Science Education(SIGCSE '18). ACM, New York, NY, USA, 8--13. https://doi.org/10.1145/3159450.3159498
[27]
Emmanuel Schanzer, Shriram Krishnamurthi, and Kathi Fisler. 2018. Creativity, Customization, and Ownership: Game Design in Bootstrap: Algebra. In Proceedings of the 49th ACM Technical Symposium on Computer Science Education (SIGCSE'18). ACM, New York, NY, USA, 161--166. https://doi.org/10.1145/3159450.3159471
[28]
Elizabeth Schofield, Michael Erlinger, and Zachary Dodds. 2014. MyCS: CS for Middle-years Students and Their Teachers. In Proceedings of the 45th ACM Technical Symposium on Computer Science Education (SIGCSE '14). ACM, New York, NY, USA, 337--342. https://doi.org/10.1145/2538862.2538901
[29]
Meng-Jung Tsai, Ching-Yeh Wang, and Po-Fen Hsu. 2019. Developing the Computer Programming Self-Efficacy Scale for Computer Literacy Education. Journal of Educational Computing Research 56, 8 (2019), 1345 -- 1360.
[30]
Zoë Wood. [n.d.]. Fifth grade Introduction to Computer programming using Processing - PCS. http://users.csc.calpoly.edu/~zwood/Outreach/PCS.html. Accessed:2019-02-08.
[31]
Zoë J. Wood, Paul Muhl, and Katelyn Hicks. 2016. Computational Art: Introducing High School Students to Computing via Art. In Proceedings of the 47th ACM Technical Symposium on Computing Science Education, Memphis, TN, USA, March02 - 05, 2016. 261--266. https://doi.org/10.1145/2839509.2844614
[32]
Dianna Xu, Aaron Cadle, Darby Thompson, Ursula Wolz, Ira Greenberg, and Deepak Kumar. 2016. Creative Computation in High School. In Proceedings of the 47th ACM Technical Symposium on Computing Science Education (SIGCSE '16). ACM, New York, NY, USA, 273--278. https://doi.org/10.1145/2839509.2844611
[33]
Sarita Yardi and Amy Bruckman. 2007. What is Computing?: Bridging the Gap Between Teenagers' Perceptions and Graduate Students' Experiences. In Proceedings of the Third International Workshop on Computing Education Research(ICER '07). ACM, New York, NY, USA, 39--50. https://doi.org/10.1145/1288580.1288586

Cited By

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  • (2023)A Literature Review Examining Broadening Participation in Upper Elementary CS EducationProceedings of the 54th ACM Technical Symposium on Computer Science Education V. 110.1145/3545945.3569873(570-576)Online publication date: 2-Mar-2023
  • (2021)Kreativität in der informatischen Bildungmerz | medien + erziehung10.21240/merz/2021.5.265:5(10-23)Online publication date: 1-Oct-2021

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cover image ACM Conferences
ITiCSE '20: Proceedings of the 2020 ACM Conference on Innovation and Technology in Computer Science Education
June 2020
615 pages
ISBN:9781450368742
DOI:10.1145/3341525
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: 15 June 2020

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  1. K-12 curriculum
  2. K-12 instruction
  3. accessibility
  4. creativity
  5. gender and diversity

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View all
  • (2023)A Literature Review Examining Broadening Participation in Upper Elementary CS EducationProceedings of the 54th ACM Technical Symposium on Computer Science Education V. 110.1145/3545945.3569873(570-576)Online publication date: 2-Mar-2023
  • (2021)Kreativität in der informatischen Bildungmerz | medien + erziehung10.21240/merz/2021.5.265:5(10-23)Online publication date: 1-Oct-2021

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