Claims

Students perceived text input as superior for accuracy, control, and editability, with transcription errors a key voice drawback

Claim · All claims
Evidence · 3 studies · 2 qualitative r2, 1 associational r2 · 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? The dominant qualitative category was input accuracy and control, heavily favouring text, with transcription errors widely cited. → accuracy-category q2 i? Editability of text prompts before submission was a major reported advantage; voice-based revision was perceived strictly negatively. → editability-category q2 i? Seventeen comment entries explicitly cited non-native English speaker status as a reason for preferring text input, 15 concerning accent recognition. → nnes

Evidence

accuracy-category

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? · associational · r2

Aspect-based sentiment analysis of open-ended reflection responses (890 comment pieces; inter-rater F1 = 0.65 on 156 independently annotated entries) found "the ability to input prompts with control and accuracy" was the dominant category, heavily favouring text; Table 2 shows 53 positive vs 2 negative text sentiments and 6 positive vs 51 negative voice sentiments in this category.

"The dominant category that emerged was the ability to input prompts with control and accuracy, heavily in favour of text-based prompting."

editability-category

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 ABSA analysis of reflection responses identified editability as a major advantage of text; the article reports that "voice-based revision was perceived strictly negatively" (Table 2: 47 positive vs 2 negative for text; 0 positive vs 12 negative for voice in this category).

"The ability to edit and review text prompts before submitting was a major reported advantage."

nnes

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

A post-hoc analysis of all 890 comment pieces using keyword search, LLM categorisation, and human consolidation identified 17 entries that "explicitly mentioned NNES status as a reason for preferring text input"; 15 expressed concerns about their accent being accurately recognised.

"Using a combination of keyword search, LLM categorisation (pre-trained Qwen3.5-4B in non-thinking mode [38]), and human consolidation, we identified 17 entries that explic- itly mentioned NNES status as a reason for preferring text input."

Discussion

Page metadata
Field Value
type claim
id text-perceived-accuracy-control-editability
title Students perceived text input as superior for accuracy, control, and editability, with transcription errors a key voice drawback
description Students perceived text input as superior for accuracy, control, and editability, with transcription errors a key voice drawback
status review
evidence_strength moderate
generated by process:wiki-ingest on 2026-10-12
trust unverified — no one has confirmed this page's content
sources 3 — accuracy-category, editability-category, nnes

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