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Towards Characterizing Trust in Generative Artificial Intelligence among Students

Published: 13 September 2023 Publication History

Abstract

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References

[1]
Bettina Berendt, Allison Littlejohn, and Michael Blakemore. 2020. AI in education: learner choice and fundamental rights. Learning, Media and Technology 45 (2020), 312 – 324.
[2]
Paul Denny, Viraj Kumar, and Nasser Giacaman. 2023. Conversing with Copilot: Exploring prompt engineering for solving CS1 problems using natural language. In Proceedings of the 54th ACM Technical Symposium on Computer Science Education V. 1. 1136–1142.
[3]
Alon Jacovi, Ana Marasović, Tim Miller, and Yoav Goldberg. 2021. Formalizing trust in artificial intelligence: Prerequisites, causes and goals of human trust in AI. In Proceedings of the 2021 ACM conference on fairness, accountability, and transparency. 624–635.
[4]
Moritz Körber. 2019. Theoretical considerations and development of a questionnaire to measure trust in automation. In Proceedings of the 20th Congress of the International Ergonomics Association (IEA 2018) Volume VI: Transport Ergonomics and Human Factors (TEHF), Aerospace Human Factors and Ergonomics 20. Springer, 13–30.
[5]
James Prather, Brent N Reeves, Paul Denny, Brett A Becker, Juho Leinonen, Andrew Luxton-Reilly, Garrett Powell, James Finnie-Ansley, and Eddie Antonio Santos. 2023. " It’s Weird That it Knows What I Want": Usability and Interactions with Copilot for Novice Programmers. arXiv preprint arXiv:2304.02491 (2023).
[6]
Xuesong Zhai, Xiaoyan Chu, Ching Sing Chai, Morris Siu Yung Jong, Andreja Isteni, Michael Spector, Jia bao Liu, Jing Yuan, and Yan Li. 2021. A Review of Artificial Intelligence (AI) in Education from 2010 to 2020. Complex. 2021 (2021), 8812542:1–8812542:18.

Cited By

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  • (2024)Characterizing Computing Students' Use of Generative AI2024 ASEE Annual Conference & Exposition Proceedings10.18260/1-2--48453Online publication date: Jun-2024
  • (2024)Student-AI Interaction: A Case Study of CS1 studentsProceedings of the 24th Koli Calling International Conference on Computing Education Research10.1145/3699538.3699567(1-13)Online publication date: 12-Nov-2024
  • (2024)Trust in Generative AI among Students: An exploratory studyProceedings of the 55th ACM Technical Symposium on Computer Science Education V. 110.1145/3626252.3630842(67-73)Online publication date: 7-Mar-2024

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cover image ACM Conferences
ICER '23: Proceedings of the 2023 ACM Conference on International Computing Education Research - Volume 2
August 2023
140 pages
ISBN:9781450399753
DOI:10.1145/3568812
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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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 13 September 2023

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Author Tags

  1. Generative AI
  2. Novice programmers
  3. Trust

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ICER 2023
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Overall Acceptance Rate 189 of 803 submissions, 24%

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ACM Conference on International Computing Education Research
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Cited By

View all
  • (2024)Characterizing Computing Students' Use of Generative AI2024 ASEE Annual Conference & Exposition Proceedings10.18260/1-2--48453Online publication date: Jun-2024
  • (2024)Student-AI Interaction: A Case Study of CS1 studentsProceedings of the 24th Koli Calling International Conference on Computing Education Research10.1145/3699538.3699567(1-13)Online publication date: 12-Nov-2024
  • (2024)Trust in Generative AI among Students: An exploratory studyProceedings of the 55th ACM Technical Symposium on Computer Science Education V. 110.1145/3626252.3630842(67-73)Online publication date: 7-Mar-2024

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