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TRUVACE RECORD VERSION
record: TRV-2026-1942
version: 1
kind: certified
reason: Certified into the record
timestamp: 2026-10-19T22:03:00.522355Z
status: published
lens: p_space
sector: education
headline: The double-edged sword of human-AI collaboration on design students' competence development: The mediating roles of challenge and hindrance appraisals and the asymmetric moderation of teacher AI leadership
dek: The deepening integration of generative AI into design education is driving a paradigm shift in human-computer AI collaboration (HAIC) -from mere tool assistance toward intelligent synergy. However, its dual impact on the competency development of design students and the underlying mechanisms remain insufficiently understood. Grounded in the Theory of Stress Appraisal, this study constructs a research model to examine the double-edged sword effect of HAIC on Design Competence (DC), introducing teacher AI Leaders…
gain_title: (none)
problem_title: The same AI collaboration can also harm design competence when students appraise it as a hindrance, so the effect is not simply positive.
trace_subject: (none)
gain_reading: (none)
gain_evidence: (none)
problem_reading: The same AI collaboration can also harm design competence when students appraise it as a hindrance, so the effect is not simply positive.
problem_evidence: double-edged sword effect of HAIC on Design Competence (DC)
quick_read: Researchers surveyed 483 design students in East China to test how working with generative AI shapes their design competence. Using stress appraisal theory, they found two routes: one in which students see AI collaboration as a challenge and gain competence, and another in which the collaboration works as a hindrance.

The findings matter because they show AI's effect on learning depends on how students interpret the collaboration rather than on exposure alone. Teacher AI leadership appeared to work mainly by reducing risk, not by stimulating creativity. Because the data come from one cross-sectional questionnaire in one region, causal and wider generalization questions remain open.
limitation: The evidence comes from a questionnaire survey of 483 design students in East China, which limits how far the findings can be generalized beyond that population and survey method.
tag: Evidence-backed problem
key_points: The study surveyed 483 design students in East China using a questionnaire. | Analysis used SPSS 24.0 and Amos 23.0, with reliability and validity tests, regression, and Bootstrap mediation. | Challenge appraisal carried the positive path from AI collaboration to design competence (β = 0.283). | Teacher AI leadership is described as moderating the effect asymmetrically, chiefly through risk mitigation. | The authors recommend developing teachers' AI instructional competencies and reforming assessment systems.
rundown: The study frames generative AI in design education as a shift from simple tool assistance toward intelligent synergy, and asks how this affects students' competence. It builds a model grounded in the Theory of Stress Appraisal, with challenge and hindrance appraisals as mediators.

Teacher AI leadership is introduced as a moderator to identify boundary conditions. The authors conclude its core value lies in risk mitigation rather than creativity stimulation, a pattern they call asymmetric moderation.

For practice, the authors argue educators should move from knowledge deliverers to cognitive facilitators. They call for systematically developing AI instructional competencies and reforming assessment, to guide students toward a healthy relationship with AI collaboration.
sources:
- peer_reviewed | PLOS One | https://doi.org/10.1371/journal.pone.0360722 | 2026-10-16
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