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Infusing Computational Thinking Across Disciplines: Reflections & Lessons Learned

Published: 22 February 2019 Publication History

Abstract

In this work, we describe our effort to develop, pilot, and evaluate a model for infusing computational thinking into undergraduate curricula across a variety of disciplines using multiple methods that previously have been individually tried and tested, including: (1) multiple pathways of computational thinking, (2) faculty professional development, (3) undergraduate peer mentors, and (4) formative assessment. We present pilot instantiations of computational thinking integration in three different disciplines including sociology, mathematics and music. We also present our professional development approach, which is based on faculty support rather than a co-teaching model. Further, we discuss formative assessment during the pilot implementation, including data focusing on undergraduate students' understanding and dispositions towards computational thinking. Finally, we reflect on what worked, what did not work and why, and identify lessons learned. Our work is relevant to higher education institutions across the nation interested in preparing students who can utilize computational principles to address discipline-specific problems.

References

[1]
Barr, V., & Stephenson, C. 2011. Bringing computational thinking to K-12: What is involved and what is the role of the computer science education community? ACM Inroads, 2(1): 48--54.
[2]
Wing, J. 2006. Computational thinking. Communications of the ACM, 49(3). 33--35.
[3]
National Research Council. 2010. Report of a Workshop on the Scope and Nature of Computational Thinking. Washington, DC: National Academy of Sciences.
[4]
Dierbach, C., Hochheiser, H., Collins, S., Jerome, G., Ariza, C., Kelleher, T., Kleinsasser, W., Dehlinger, J., & Kaza, S. 2011. A model for piloting pathways for computational thinking in a general education curriculum. In Proceedings of the 42nd ACM Technical Symposium on Computer science education, 257--262.
[5]
Perkovic, L., Settle, A., Hwang, S., & Jones, J. 2010. A framework for computational thinking across the curriculum. In Proceedings of the 15th annual conference on Innovation and technology in computer science education, 123--127.
[6]
Barr, V., Motahar, E., Liew, C. W., & Stewart-Gambling, H. 2009. Building a campus wide computation initiative: Panel discussion. Journal of Computing Sciences in Colleges, 24(3), 109--110.
[7]
Alvarado, C., Dodds, Z., Kuenning, G., Hadas, R., & Shelton, C. 2010. Modular CS1 from the inside out: Computational thinking for all STEM students. CPATH PI Meeting, March 25- 26, Arlington, VA.
[8]
Pollock, L., Mouza, C., Atlas, J., & Harvey, T. 2015. Field experiences in teaching computer science: Course organization and reflections. Proceedings of the 47th ACM technical symposium on Computer science education, 374--379.
[9]
Kuster, C., & Hu, C. 2012. CAPTH-1: Developing computational thinking skills across the Undergraduate curriculum. Retrieved from: http://grantome.com/grant/NSF/CNS-0939032.
[10]
Pulimood, S. M., Pearson, K., & Bates, D. C. 2014. CABECT: collaborating across boundaries to engage undergraduates in computational thinking (Workshop -- abstract only). In Proceedings of the 45th ACM Technical Symposium on Computer Science Education, Atlanta, Georgia, USA, March 05 -- 08, 2014.
[11]
Zepeda, S.J. 2011. Professional development: What works (2nd ed.). Larchmont, NY: Eye on Education, Inc.
[12]
Harrington, K., O'Neill, P., & Bakhshi, S. 2008. Making time and space for writing: Student writing mentors and the writing centre. Presentation at Writing Development in Higher Education Conference, University of Strathclyde, Glasgow, Scotland.
[13]
Pollock, L., Mouza, C., Atlas, J., & Harvey, T. 2015. Field experience in teaching computer science: Course organization and reflections. In Proceedings of Special Interest Group in Computer Science Education, March 4--7, Kansas City, MO.
[14]
Yadav, A., Mayfield, C., Zhou, N., Hambrusch, S., & Korb, J. T. 2014. Computational thinking in elementary and secondary teacher education. ACM Trans. Comput. Educ. 14, 1, Article 5 (March 2014), 16 pages.
[15]
Hatch, J. A.(2002. Doing qualitative research in education settings . New York, NY: Suny University Press.

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    cover image ACM Conferences
    SIGCSE '19: Proceedings of the 50th ACM Technical Symposium on Computer Science Education
    February 2019
    1364 pages
    ISBN:9781450358903
    DOI:10.1145/3287324
    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: 22 February 2019

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    Author Tags

    1. computational thinking
    2. computer science
    3. computer science principles.
    4. undergraduate students

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    • (2024)Enhancing AI-Augmented ClassroomsFostering Inclusive Education With AI and Emerging Technologies10.4018/979-8-3693-7255-5.ch004(99-130)Online publication date: 1-Nov-2024
    • (2024)Teacher-Focused Approach to Merging Intelligent Tutoring Systems With Adaptive Learning Environments in AI-Driven ClassroomsHigher Education and Quality Assurance Practices10.4018/979-8-3693-6765-0.ch003(77-100)Online publication date: 20-Dec-2024
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