Abstract
Typical curricula in architecture include history and theory, design studios, structures, and building construction courses. While studio classes mainly use active forms of learning, building construction courses often rely on passive techniques . Active forms of teaching with greater student interaction with learning content have shown better learning outcomes and more inclusive toward those on a different learning spectrum. Thus, creating meaningful hands-on experiences for students to learn building construction is crucial. Drawing on theories related to media psychology, human-computer interaction, and architectural education, this study aims to understand the impact of immersion and interactivity on the learning experience and knowledge gained by building construction students. The study was designed as a full-factorial, 2 (high vs. low immersion) × 2 (high vs. low interactivity) experiment. Participants were randomly assigned to one of four groups and learned how to assemble a bus shelter in virtual reality. The learning experience was measured through questionnaires that assessed their spatial presence, attention, engagement, and knowledge gain to increase accuracy. Their knowledge gain was measured through a questionnaire that included cued and free recall tasks, labeling of building components, identifying correct connections between components, and a detailed drawing task. The study’s results provide insights into the relative contributions of various technology affordances and how they impact learning experiences and outcomes. The authors believe that understanding these nuances will allow for the customization of technology affordances to achieve desired learning outcomes, thus making virtual reality a more effective tool for teaching building construction.
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Quinto Lima, S., Balakrishnan, B., Kim, J.B. (2023). Virtual Construction Simulation: Evaluating Impact of Immersion and Interactivity on Novice Designers. In: Chen, J.Y.C., Fragomeni, G. (eds) Virtual, Augmented and Mixed Reality. HCII 2023. Lecture Notes in Computer Science, vol 14027. Springer, Cham. https://doi.org/10.1007/978-3-031-35634-6_49
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