Prompt Programming¶
Product or Programme · All products and programmes
Evidence · 2 claims (2 for) · 1 study (1 associational),q2· 0 of 1 report an effect size · 2 claims rest on one study
Description¶
Prompt Programming is a web-based dialogue tool described by Victor-Alexandru Pădurean et al. for helping introductory programming students solve coding problems by iteratively refining natural-language prompts with GPT-4o mini.
Components¶
Claims¶
- When prompts failed, students most commonly reported clarifying intent or specifying more detail, and reflecting on the problem depiction, rather than tracing code or examining test cases [+M]
- CS1 students tend to agree it is easier to solve problems by writing natural language prompts than by writing code (mean 3.80 on a five-point scale) [+M]
Related Products and Programmes¶
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Key Sources¶
- Victor-Alexandru Pădurean, Kaitlin Riegel, Gweneth Barbre, Musa Blake, Paul Denny, Alkis Gotovos, Juho Leinonen, Stephen MacNeil, James Prather, and Adish Singla. (2026). Understanding Student Perceptions, Mistakes, and Debugging Approaches when Solving Natural Language Programming Tasks. Proceedings of the ACM Conference on International Computing Education Research Vol.1 (ICER 2026 Vol. 1). https://doi.org/10.1145/3765964.3811639
Page metadata
| Field | Value |
|---|---|
type |
product |
id |
prompt-programming |
title |
Prompt Programming |
description |
Prompt Programming is a web-based dialogue tool described by Victor-Alexandru Pădurean et al. |
status |
review |
product_kind |
software |
generated |
by process:settle-candidates on 2026-10-11 |
trust |
unverified — no one has confirmed this page's content |
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