Students most enjoyed creating images with AI, followed by generating text, with video creation least favoured¶
Claim · All claims
Evidence · 1 study · designr2·q2
Currency · newest study 2025 · 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? Among the 62 students, "Creating images with AI's assistance" was the top enjoyment choice (31 students), text generation followed (20), and video creation was least favoured (11). → Kosmas 2025
Evidence¶
Kosmas 2025¶
Kosmas, P., Nisiforou, E. A., Kounnapi, E., Sophocleous, S., & Theophanous, G. (2025). Integrating artificial intelligence in literacy lessons for elementary classrooms: a co-design approach. Education Tech Research Dev (2025) 73:2589–2615. https://doi.org/10.1007/s11423-025-10492-z
q2 · i? · design · r2
Multiple-choice survey item asking the 62 pilot students what they enjoyed most about the AI-powered lessons. The article reports image creation as the top choice (31 students), text generation second (20), and video creation least favoured (11), attributing the latter to possible tool limitations or video-editing difficulties.
""Creating images with AI’s assistance" (31 students) emerged as the top choice, illustrating AI’s potential to engage visual learners and enhance lesson enjoyment. "Creating text with AI’s assistance" (20 students) also generated interest"
Discussion¶
Related Claims¶
- Design students' GenAI use concentrates on research, writing and brainstorming tasks, with low use for image, media and code generation — reports the opposite
- Open-ended student feedback highlighted relevance and conciseness as benefits of personalized AI videos, alongside concerns about unnaturalness, uncanny-valley discomfort, and trust — related
- Mean rank ordering of the four video types was stable across both course offerings, with hypothetical human-recorded personalized videos ranked highest and AI-generated non-personalized lowest — related
- Engineering students most often use LLMs for academic writing (27%), conceptual clarification (20%), programming help (17%) and brainstorming (13%) — a broader claim this one bears on
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
students-enjoyed-image-creation-most |
title |
Students most enjoyed creating images with AI, followed by generating text, with video creation least favoured |
description |
Students most enjoyed creating images with AI, followed by generating text, with video creation least favoured |
status |
review |
evidence_strength |
moderate |
newest_evidence |
2025 |
generated |
by process:wiki-ingest on 2026-10-29 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — kosmas-2025 |
Frontmatter is the page's machine-readable record — see the Schema & Guide.