Student experiences with GenAI in design thinking fall into four themes: perceived benefits, ethical concerns, hesitance and acceptance, and critical validation¶
Claim · All claims
Evidence · 1 study · qualitativer1·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? Thematic analysis of student reflections revealed four key themes: Perceived Benefits (enhanced creativity and accessibility), Ethical Concerns (bias and authorship ambiguity), Hesitance & Acceptance (evolution from scepticism to strategic adoption), and Critical Validation (development of epistemic vigilance). → Rana 2025
Evidence¶
Rana 2025¶
Rana, V., Verhoeven, B., & Sharma, M. (2025). Generative AI in Design Thinking Pedagogy: Enhancing Creativity, Critical Thinking, and Ethical Reasoning in Higher Education. Journal of University Teaching and Learning Practice, 22(4). https://doi.org/10.53761/tjse2f36
q2 · i? · qualitative · r1
Qualitative thematic analysis of 112 student reflections from the 12-week course; the study reports that "Thematic analysis revealed four key themes" spanning benefits, ethics, acceptance, and validation. No effect size applies.
"Thematic analysis revealed four key themes: Perceived Benefits (enhanced creativity and accessibility), Ethical Concerns (bias and authorship ambiguity), Hesitance & Acceptance (evolution from scepticism to strategic adoption), and Critical Validation (development of epistemic vigilance)."
Discussion¶
Related Claims¶
- Students remained cautious about relying on GenAI throughout the creative process, citing imperfect outputs and perceived loss of ownership — a narrower finding that bears on this claim
- Students raised ethical concerns about GenAI-assisted data comic creation, most frequently misinformation, bias, ownership, and reduced trustworthiness — a narrower finding that bears on this claim
- Experimental-group students detected AI errors and enacted verification and ethical self-regulation as routine practices — a narrower finding that bears on this claim
- Qualitative themes: efficiency and peer influence drive AI use, while confidence and rule ambiguity shape students' perceptions of dependence — related
- Students' main AI challenges are content reliability and depth, and most expect AI to serve as tutor, creative partner, and critical thinking partner rather than mere content generator — related
- Nursing academics hold divergent attitudes toward GenAI, from scepticism to pragmatic acceptance, and worry it may replace rather than support student learning — related
- Academic integrity, professional development, and equity concerns about AI span all surveyed units, though interpreted differently — related
- Sentiment toward GenAI in the course was 86% positive overall, while ethical concerns generated 62% negative sentiment — related
- Perceived learning benefits are higher when GenAI augments students' capabilities and lower when it hurts critical thinking or causes stress — related
- Source provenance labels functioned as a seal of authority: 11 of 12 participants failed to detect a planted source-card mismatch — related
- Journalism students already use GenAI strategically but hold deep concerns about accuracy, originality and disclosure — related
- Post-interaction reflections reveal four preference themes: AI as formative learning aid, preference for human authority, conditional acceptance, and skepticism about educational impact — related
- AI-augmented instructional design creates tensions between generative affordances and student agency, identity, and academic integrity — related
- A student maintained critical distance from GenAI outputs through a paradoxical trust in their untrustworthiness, deriving practical value while staying sceptical
- Interviews revealed six themes: enhanced efficiency, improved quality, facilitated reflection, increased interaction, improved collaboration, and concerns about over-reliance — related
- Only about a third of design students report reduced creativity or project ownership from GenAI use — related
- Reduced engagement with GenAI feedback functionalities was attributed to a mismatch between GenAI outputs and student expectations — related
- Students perceive peer assessment-based game development as fostering deep learning in in-depth thinking, creativity and motivation — related
- The authors argue that analyzing power imbalances, misshapen structures, and hidden assumptions are familiar critical thinking tasks for hesitant readers — related
- Primary studies report possible benefits of GenAI for children's divergent thinking, narrative creativity and creative self-efficacy, without confirmed efficacy — related
- Students evolved from passive users of GenAI to critical evaluators, developing strategies for bias detection and source validation — possibly the same claim (merge candidate)
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
genai-design-thinking-four-themes |
title |
Student experiences with GenAI in design thinking fall into four themes: perceived benefits, ethical concerns, hesitance and acceptance, and critical validation |
description |
Student experiences with GenAI in design thinking fall into four themes: perceived benefits, ethical concerns, hesitance and acceptance, and critical validation |
status |
review |
evidence_strength |
moderate |
newest_evidence |
2025 |
generated |
by process:wiki-ingest on 2026-10-11 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — rana-2025 |
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