Skip to main content Accessibility help
×
Hostname: page-component-cd9895bd7-dzt6s Total loading time: 0 Render date: 2024-12-26T17:42:49.636Z Has data issue: false hasContentIssue false

3 - Computing EducationLiterature Review and Voices from the Field

from Part I - Background

Published online by Cambridge University Press:  15 February 2019

Sally A. Fincher
Affiliation:
University of Kent, Canterbury
Anthony V. Robins
Affiliation:
University of Otago, New Zealand
Get access

Summary

Since the creation of the Logo language in 1967, Computing Education (CEd) slowly penetrated educational systems worldwide. Since the mid-2000s, however, there has been a pronounced growth of Science, Technology, Engineering, and Mathematics (STEM) education, with CEd at the forefront. This unprecedented growth has generated competing rationales for the teaching of CEd. It has also generated many model and blueprints for large-scale implementation. In this chapter, based on 14 interviews with leading experts in the field and a literature review, we start by describing four rationales for CEd: labor market needs, computational thinking, computational literacy, and equity of participation. Then we analyze systemic obstacles and possible pathways for sustainable large-scale implementation: equity, broadening participation, scaling, assessment, quality of implementation, curriculum, and teacher development. In particular, the interview data points to the need of scaling “with depth” and allowing for multiple models of implementation to coexist. The data also highlight the need for programs focus on pluralistic views of Computing, exploring new tools, populations, and contexts.
Type
Chapter
Information
Publisher: Cambridge University Press
Print publication year: 2019

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Berland, M. (2017). Phone interview with Paulo Blikstein.Google Scholar
Berland, M., Martin, T., & Benton, T. (2013). Using learning analytics to understand the learning pathways of novice programmers. Journal of the Learning Sciences, 22(4), 564599.Google Scholar
Blikstein, P. (2011). Using learning analytics to assess students’ behavior in open-ended programming tasks. In Proceedings of the 1st International Conference on Learning Analytics and Knowledge – LAK 2011 (pp. 110116). New York: ACM.Google Scholar
Blikstein, P., Worsley, M., Piech, C., Sahami, M., Cooper, S., & Koller, D. (2014). Programming pluralism: Using learning analytics to detect patterns in novices’ learning of computer programming. Journal of the Learning Sciences, 23(4), 561599.CrossRefGoogle Scholar
Blikstein, P. (2013). Digital Fabrication and ’Making’ in Education: The Democratization of Invention. In J. Walter-Herrmann & C. Büching (Eds.). FabLabs: Of Machines, Makers and Inventors (pp. 203–221). Bielefeld: Transcript Publishers.Google Scholar
Blikstein, P. (2018). Pre-College Computer Science Education: A Survey of the Field. Mountain View, CA: Google LLC. Retrieved on 1 November 2018 from https://goo.gl/gmS1VmGoogle Scholar
Brennan, K. (2013). Learning computing through creating and connecting. Computer, 46(9), 5259.CrossRefGoogle Scholar
Buechley, L. (2017). Phone interview with Paulo Blikstein.Google Scholar
Buechley, L., & Eisenberg, M. (2008). The LilyPad Arduino: Toward wearable engineering for everyone. IEEE Pervasive Computing, 7(2), 1215.Google Scholar
Clancy, M. (2017). Phone interview with Paulo Blikstein.Google Scholar
Clements, D. H. (1990). Metacomponential development in a LOGO programming environment. Journal of Educational Psychology, 82(1), 141.Google Scholar
De Corte, E., & Verschaffel, L. (1989). Logo: A vehicle for thinking. In Greer, B. & Mulhern, G. (Eds.), New Directions in Mathematics Education (pp. 6381). London/New York: Routledge.Google Scholar
diSessa, A. (2000). Changing Minds: Computers, Learning, and Literacy. Cambridge, MA: MIT Press.Google Scholar
diSessa, A. (2018). Computational literacy and “the big picture” concerning computers in mathematics education. Mathematical Thinking and Learning, 20(1), 331.Google Scholar
Fincher, S. (2017). Phone interview with Paulo Blikstein.Google Scholar
Google LLC. & Gallup Inc. (2016). Diversity gaps in computer science: Exploring the underrepresentation of girls, Blacks and Hispanics. Retrieved from http://goo.gl/PG34aHGoogle Scholar
Graham, P. (2004). Hackers & Painters: Big Ideas from the Computer Age. Sebastopol, CA: O’Reilly Media.Google Scholar
Grover, S. (2017). Phone interview with Paulo Blikstein.Google Scholar
Grover, S., & Pea, R. (2013). Computational thinking in K–12: A review of the state of the field. Educational Researcher, 42(1), 3843.Google Scholar
Guzdial, M. (2017). Phone interview with Paulo Blikstein.Google Scholar
Horn, M. (2017). Phone interview with Paulo Blikstein.Google Scholar
K–12 Computer Science Framework Steering Committee (2016). K–12 Computer Science Framework (978-1-4503-5278-9). Retrieved from http://k12cs.org/wp-content/uploads/2016/09/K%E2%80%9312-Computer-Science-Framework.pdfGoogle Scholar
Liu, M. (1997). The effects of HyperCard programming on teacher education students’ problem-solving ability and computer anxiety. Journal of Research on Computing in Education, 29(3), 248262.Google Scholar
Maltese, A., & Tai, R. (2011). Pipeline persistence: Examining the association of educational experiences with earned degrees in STEM among US students. Science Education, 95(5), 877907.Google Scholar
Margolis, J. (2017). Phone interview with Paulo Blikstein.Google Scholar
National Research Council (2006). America’s Lab Report: Investigations in High School Science. Washington, DC: National Academies Press.Google Scholar
National Research Council (2012). A Framework for K–12 Science Education: Practices, Crosscutting Concepts, and Core Ideas. Washington, DC: National Academies Press.Google Scholar
Noonan, R. (2017). STEM Jobs: 2017 Update (ESA Issue Brief # 02-17). Retrieved from www.esa.gov/reports/stem-jobs-2017-updateGoogle Scholar
O’Neil, C. (2016). Weapons of Math Destruction. New York: Crown Publishing Group.Google Scholar
Palumbo, D. (1990). Programming language/problem-solving research: A review of relevant issues. Review of Educational Research, 60(1), 6589.Google Scholar
Papert, S. (1980). Mindstorms: Children, Computers and Powerful Ideas. New York: Basic Books.Google Scholar
Pears, A., Seidman, S., Malmi, L., Mannila, L., Adams, E., Bennedsen, J., & Paterson, J. (2007). A survey of literature on the teaching of introductory programming. ACM SIGCSE Bulletin, 39(4), 204223.Google Scholar
Resnick, M. (2017). Phone interview with Paulo Blikstein.Google Scholar
Seehorn, D., Carey, S., Fuschetto, B., Lee, I., Moix, D., O’Grady-Cunniff, D., …, Verno, A. (2011). CSTA K–12 Computer Science Standards: Revised 2017. Retrieved from www.csteachers.org/page/standardsGoogle Scholar
Sentance, S. (2017). Phone interview with Paulo Blikstein.Google Scholar
Shapiro, B. (2017). Phone interview with Paulo Blikstein.Google Scholar
Sherin, B. L. (2001). A comparison of programming languages and algebraic notation as expressive languages for physics. International Journal of Computers for Mathematical Learning, 6(1), 161.Google Scholar
Stager, G. (2017). A Modest Proposal. Retrieved from http://stager.tv/blog/?p=4153Google Scholar
Turkle, S., & Papert, S. (1990). Epistemological pluralism: Styles and voices within the computer culture. Signs: Journal of Women in Culture and Society, 16(1), 128157.Google Scholar
US Department of Labor (2007). The STEM workforce challenge: The role of the public workforce system in a national solution for a competitive science, technology, engineering, and mathematics (STEM) workforce. Retrieved from https://digitalcommons.ilr.cornell.edu/key_workplace/637/Google Scholar
Vogel, S., Santo, R., & Ching, D. (2017). Visions of computer science education: Unpacking arguments for and projected impacts of CS4All initiatives. In Proceedings of the 48th ACM Technical Symposium on Computer Science Education – SIGCSE 2017 (pp. 609614). New York: ACM.Google Scholar
Weintrop, D., Beheshti, E., Horn, M., Orton, K., Jona, K., Trouille, L., & Wilensky, U. (2016). Defining computational thinking for mathematics and science classrooms. Journal of Science Education and Technology, 25(1), 127147.CrossRefGoogle Scholar
Wilensky, U. (1999, updated 2006, 2017). NetLogo [Computer software] (Version 6). Evanston, IL: Center for Connected Learning and Computer-Based Modeling. Retrieved from http://ccl.northwestern.edu/netlogoGoogle Scholar
Wilensky, U., & Papert, S. (2010). Restructurations: Reformulating knowledge disciplines through new representational forms. In Proceedings of Constructionism 2010 Paris (p. 15). Paris, France: American University of Paris.Google Scholar
Wing, J. M. (2006). Computational thinking. Communications of the ACM, 49(3), 3335.Google Scholar
Yongpradit, P. (2017). Phone interview with Paulo Blikstein.Google Scholar

Save book to Kindle

To save this book to your Kindle, first ensure no-reply@cambridge.org is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about saving to your Kindle.

Note you can select to save to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.

Find out more about the Kindle Personal Document Service.

Available formats
×

Save book to Dropbox

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Dropbox.

Available formats
×

Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

Available formats
×