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Data from: Design and evaluation of a problem-based learning VR module for apparel fit correction training

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Abstract

This file contain data supporting all results reported in Galada and Baytar (2024) "Design and evaluation of a problem-based learning VR module for apparel fit correction training". In the study we found that the training VR module significantly improved spatial visualization and fit correction skills. Participants with higher apparel spatial visualization skills saw a higher improvement in fit correction skills because of the training. At lower spatial visualization skill levels, women saw a higher increase in apparel spatial visualization skills after the training than men but the difference between the learning outcomes across genders reduced when participants had higher spatial skills before training.

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This material is based upon work partially supported by the National Science Foundation under Grant No. 2048022. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation. Additional funding was received from the College of Human Ecology Alan D. Mathios Research and Service Grant, and the Department of Human Centered Design at Cornell University.

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2024-04-04

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virtual reality; simulations; spatial visualization; fit correction; 3D

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