Avoiding the Turing Tarpit: Learning Conversational Programming by Starting from Code's Purpose

要旨

Conversational programmers want to learn about code primarily to communicate with technical co-workers, not to develop software. However, existing instructional materials don't meet the needs of conversational programmers because they prioritize syntax and semantics over concepts and applications. This mismatch results in feelings of failure and low self-efficacy. To motivate conversational programmers, we propose purpose-first programming, a new approach that focuses on learning a handful of domain-specific code patterns and assembling them to create authentic and useful programs. We report on the development of a purpose-first programming prototype that teaches five patterns in the domain of web scraping. We show that learning with purpose-first programming is motivating for conversational programmers because it engenders a feeling of success and aligns with these learners' goals. Purpose-first programming learning enabled novice conversational programmers to complete scaffolded code writing, debugging, and explaining activities after only 30 minutes of instruction.

著者
Kathryn Cunningham
Northwestern University, Evanston, Illinois, United States
Barbara J.. Ericson
University of Michigan, Ann Arbor, Michigan, United States
Rahul Agrawal Bejarano
University of Michigan, Ann Arbor, Michigan, United States
Mark Guzdial
University of Michigan, Ann Arbor, Michigan, United States
DOI

10.1145/3411764.3445571

論文URL

https://doi.org/10.1145/3411764.3445571

動画

会議: CHI 2021

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2021.acm.org/)

セッション: Education

[A] Paper Room 11, 2021-05-13 17:00:00~2021-05-13 19:00:00 / [B] Paper Room 11, 2021-05-14 01:00:00~2021-05-14 03:00:00 / [C] Paper Room 11, 2021-05-14 09:00:00~2021-05-14 11:00:00
Paper Room 11
11 件の発表
2021-05-13 17:00:00
2021-05-13 19:00:00
日本語まとめ
読み込み中…