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Scaffolding to Support Humanities Students Programming in a Human Language Context

Published: 29 June 2023 Publication History

Abstract

Language is a key topic of interest for students in the humanities -- language is the way in which humans express themselves, communicate, and make art. Computing on language (e.g., recognizing language, generating language, building bots) can be a pathway into using computing for humanities contexts. At the University of Michigan, we are developing a new program to support students in liberal arts and sciences to learn about computing, explicitly including programming. We have designed two courses for introducing computing (1) in terms of creative expression and (2) around the implications of computing on justice. In both classes, we use a scaffolded sequence of programming languages and activities to explore computing on language: (a) a teaspoon language for sentence generation and recognition, (b) a set of custom Snap blocks for sentence generation and recognition, (c) a set of custom Snap blocks for building Chatbots, and (d) an ebook activity for mapping from Snap to Python. Each language takes less than 10 minutes to introduce, with a wide variety of possible student activities (for in-class active learning or for later homework). While the tools build on each other, the earliest stage (the teaspoon language) could be used within a single class session in linguistics, communications, or other liberal arts courses.

References

[1]
Kathryn Cunningham, Barbara J. Ericson, Rahul Agrawal Bejarano, and Mark Guzdial. 2021. Avoiding the Turing Tarpit: Learning Conversational Programming by Starting from Code's Purpose. Association for Computing Machinery, New York, NY, USA. https://doi.org/10.1145/3411764.3445571
[2]
Barbara J. Ericson, Kantwon Rogers, Miranda Parker, Briana Morrison, and Mark Guzdial. 2016. Identifying Design Principles for CS Teacher Ebooks Through Design-Based Research. In Proceedings of the 2016 ACM Conference on International Computing Education Research (Melbourne, VIC, Australia) (ICER '16). ACM, New York, NY, USA, 191--200. https://doi.org/10.1145/2960310.2960335
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Dan Garcia, Michael Ball, and Yuan Garcia. 2022. Snap! 7 - Microworlds, Scenes, and Extensions!. In Proceedings of the 53rd ACM Technical Symposium on Computer Science Education V. 2 (Providence, RI, USA) (SIGCSE 2022). Association for Computing Machinery, New York, NY, USA, 1179. https://doi.org/10.1145/3478432.3499266
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Jamie Gorson and Eleanor O'Rourke. 2020. Why do CS1 Students Think They're Bad at Programming? Investigating Self-efficacy and Self-assessments at Three Universities. In Proceedings of the 2020 ACM Conference on International Computing Education Research. 170--181.
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Mark Guzdial. 2010. Does contextualized computing education help? ACM Inroads, Vol. 1, 4 (2010), 4--6.
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Mark Guzdial. 2022a. Creating New Programming Experiences Inspired by Boxer to Develop Computationally Literate Society. In Companion Proceedings of the 6th International Conference on the Art, Science, and Engineering of Programming (Porto, Portugal) (Programming '22). Association for Computing Machinery, New York, NY, USA, 67--69. https://doi.org/10.1145/3532512.3539663
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Mark Guzdial. 2022b. Teaspoon Languages for Integrating Programming into Social Studies, Language Arts, and Mathematics Secondary Courses. In Proceedings of the 53rd ACM Technical Symposium on Computer Science Education V. 2 (Providence, RI, USA) (SIGCSE 2022). Association for Computing Machinery, New York, NY, USA, 1027. https://doi.org/10.1145/3478432.3499240
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Ethel Tshukudu and Quintin Cutts. 2020. Semantic Transfer in Programming Languages: Exploratory Study of Relative Novices. In Proceedings of the 2020 ACM Conference on Innovation and Technology in Computer Science Education. 307--313.

Cited By

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  • (2024)Assessments for Non-CS Major Computing ClassesProceedings of the 2024 on ACM Virtual Global Computing Education Conference V. 210.1145/3649409.3703620(289-290)Online publication date: 5-Dec-2024
  • (2024)CodeAid: Evaluating a Classroom Deployment of an LLM-based Programming Assistant that Balances Student and Educator NeedsProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642773(1-20)Online publication date: 11-May-2024

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    cover image ACM Conferences
    ITiCSE 2023: Proceedings of the 2023 Conference on Innovation and Technology in Computer Science Education V. 2
    June 2023
    694 pages
    ISBN:9798400701399
    DOI:10.1145/3587103
    Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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    Published: 29 June 2023

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    Author Tags

    1. CS for all
    2. computational literacy
    3. computational thinking
    4. critical computing
    5. digital humanities
    6. liberal arts and sciences

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    • (2024)Assessments for Non-CS Major Computing ClassesProceedings of the 2024 on ACM Virtual Global Computing Education Conference V. 210.1145/3649409.3703620(289-290)Online publication date: 5-Dec-2024
    • (2024)CodeAid: Evaluating a Classroom Deployment of an LLM-based Programming Assistant that Balances Student and Educator NeedsProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642773(1-20)Online publication date: 11-May-2024

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