Bringing "High-level" Down to Earth

Author:

Cunningham Kathryn1,Qiao Yike1,Feng Alex1,O'Rourke Eleanor1

Affiliation:

1. Northwestern University, Evanston, IL, USA

Funder

National Science Foundation

Publisher

ACM

Reference24 articles.

1. Towards Enhancing Programming Self-Efficacy Perceptions among Undergraduate Information Systems Students

2. Brett A. Becker and Thomas Fitzpatrick. 2019. What Do CS1 Syllabi Reveal About Our Expectations of Introductory Programming Students? . In Proceedings of the 50th ACM Technical Symposium on Computer Science Education ( Minneapolis, MN, USA) (SIGCSE '19). Association for Computing Machinery, New York, NY, USA, 1011--1017. https://doi.org/10.1145/3287324.3287485 Brett A. Becker and Thomas Fitzpatrick. 2019. What Do CS1 Syllabi Reveal About Our Expectations of Introductory Programming Students?. In Proceedings of the 50th ACM Technical Symposium on Computer Science Education (Minneapolis, MN, USA) (SIGCSE '19). Association for Computing Machinery, New York, NY, USA, 1011--1017. https://doi.org/10.1145/3287324.3287485

3. Generation CS

4. Perceptions of non-CS majors in intro programming: The rise of the conversational programmer

5. Parmit K. Chilana , Rishabh Singh , and Philip J. Guo . 2016. Understanding Conversational Programmers: A Perspective from the Software Industry . In Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery , New York, NY, USA, 1462--1472. https://doi.org/10.1145/2858036.2858323 Parmit K. Chilana, Rishabh Singh, and Philip J. Guo. 2016. Understanding Conversational Programmers: A Perspective from the Software Industry. In Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery, New York, NY, USA, 1462--1472. https://doi.org/10.1145/2858036.2858323

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1. Designing Conversational Agents to Address Conversational Programmers' Learning Needs and Challenges;Proceedings of the 2024 ACM Conference on International Computing Education Research - Volume 2;2024-08-12

2. Profiling Conversational Programmers at University: Insights into their Motivations and Goals from a Broad Sample of Non-Majors;Proceedings of the 2024 ACM Conference on International Computing Education Research - Volume 1;2024-08-12

3. Insights from Social Shaping Theory: The Appropriation of Large Language Models in an Undergraduate Programming Course;Proceedings of the 2024 ACM Conference on International Computing Education Research - Volume 1;2024-08-12

4. Towards Methods for Identifying High-Quality Domain-Specific Programming Plans;Proceedings of the 2023 ACM Conference on International Computing Education Research - Volume 2;2023-08-07

5. Comparing Code Explanations Created by Students and Large Language Models;Proceedings of the 2023 Conference on Innovation and Technology in Computer Science Education V. 1;2023-06-29

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