Students reported text supports structured, iterative planning while some valued voice for getting initial ideas out¶
Claim · All claims
Evidence · 2 studies · 2 qualitativer2·q2
Currency · no dated study recorded · not yet checked against its sources · not reviewed by a person
Subclaims¶
Reading the evidence codes
q is the design tier, i the impact, n the sample, and the kind with its r
the rigour judged within that kind: what each code means.
This claim: no standardized effect is recorded in observations/ for it yet, so no benchmark reading is possible.
q2 i? Students frequently reported text input helped them structure cohesive thoughts and engage in non-linear problem-solving. → planning
q2 i? Some students thought voice input served a valuable role in prompt construction, often to get initial ideas out. → voice-ideas
Evidence¶
planning¶
Kaitlin Riegel, Yan Cathy Hua, Paul Denny, Victor-Alexandru Pădurean, Juho Leinonen, James Prather, and Adish Singla. 2026. Say What? Examining Text and Voice Input Modalities for Prompt-Based Programming in Computing Education. Proceedings of the 31st ACM Conference on Innovation and Technology in Computer Science Education V. 1 (ITiCSE 2026). https://doi.org/10.1145/3803400.3809397
q2 · i? · qualitative · r2
In the qualitative ABSA analysis of reflections, the Planning & Thinking Process category was strongly positive for text (44 positive vs 1 negative) and mixed for voice (6 positive vs 17 negative); students referenced "the opportunity to structure cohesive thoughts" using text inputs.
"Students frequently referenced the opportunity to structure cohesive thoughts or the ability to engage in non-linear problem-solving using text inputs"
voice-ideas¶
Kaitlin Riegel, Yan Cathy Hua, Paul Denny, Victor-Alexandru Pădurean, Juho Leinonen, James Prather, and Adish Singla. 2026. Say What? Examining Text and Voice Input Modalities for Prompt-Based Programming in Computing Education. Proceedings of the 31st ACM Conference on Innovation and Technology in Computer Science Education V. 1 (ITiCSE 2026). https://doi.org/10.1145/3803400.3809397
q2 · i? · qualitative · r2
The qualitative analysis also found "some students thought voice input served a valuable role in their prompt construction – often to get initial ideas out", with one student reporting voice made it easier to think about what the code needed to do.
"some students thought voice input served a valuable role in their prompt construction – often to get initial ideas out"
Discussion¶
Related Claims¶
- Students reported mixed, task-dependent perceptions of the efficiency and speed of voice versus text input — related
- Synchronous AI suggestions shape subsequent writing, offering new ideas but risking influence over the writer's voice and argument — related
- Planning-stage AI ideas were often redundant with or rejected in favor of writers' own ideas: idea attribution was 17.8% among users versus 2.9% among non-users, but ownership did not differ between users and non-users within ai plan. — related
- Students overwhelmingly used text prompting, and prior modality choice did not predict subsequent choice among dual-mode users — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
modality-shapes-planning-and-idea-generation |
title |
Students reported text supports structured, iterative planning while some valued voice for getting initial ideas out |
description |
Students reported text supports structured, iterative planning while some valued voice for getting initial ideas out |
status |
review |
evidence_strength |
weak |
generated |
by process:wiki-ingest on 2026-10-12 |
trust |
unverified — no one has confirmed this page's content |
sources |
2 — planning, voice-ideas |
Frontmatter is the page's machine-readable record — see the Schema & Guide.