Out of 27 students divided into seven teams, the GenARch tool does not improve the marks awarded by the examiners, but it does change the way the groups design and coordinate their work.
A team led by Yao Xiao launched on September 11 a study on the conditions of a workshop on GenARch, a device that combines IA generative and collaborative tools of extended reality in the teaching of architectural design. Twenty-seven bachelor students divided into seven teams were followed: four teams with the tool, three in control group. The protocol combines pre and post questionnaires on trust in design and the relationship to collective work, evaluation of presentations by a jury of experts, and structured interviews with equipped teams.
The division of roles between the two technologies is clearly evident: the general AI is used to externalize ideas and produce visual references, while the broad reality is used to judge space, context and scale. These are not the same moments of the project, nor the same gestures.
The figures are more ambivalent. The Board's notes do not distinguish significantly between the two conditions. The self-confidence of equipped students is declining more than that of the comparison group, even though they report better managing disagreements within the team. The obstacles they cite are concrete: tool control, dimensional fidelity, difficulty sharing attention, and motion comfort in immersion.
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