Purpose
This paper aims to describe the immersive atelier model (IAM), a pedagogical model for remote inter-university studios that promotes quality education. The IAM uses multi-user virtual ...environments (MUVEs) in two atelier types: A predefined MUVE and a student-shaped one. The study questions how the IAM, using MUVEs, meets the needs of remote inter-university studios. The research explores how MUVE types are used and experienced by students.
Design/methodology/approach
Forty-six students that participated in a remote studio course involving three universities were monitored through observations and a post-course questionnaire, responded to by twenty-five students.
Findings
Findings provide insights into the learners’ experience and a rich description of the teaching and learning acts that emerged while using the MUVEs types. Student-shaped MUVEs were found particularly supportive of acts associated with indirect learning and conceptualization. The study identifies subtypes of student-shaped MUVEs that support these desired educational acts.
Research limitations/implications
Findings provide encouraging insights for expanding the traditional atelier beyond its physical constraints and supporting sustainable quality education in remote inter-university studios.
Practical implications
The IAM can assist tutors in designing future virtual design studios to achieve diverse knowledge and learning progress.
Social implications
This paper fulfills an identified need to update the atelier pedagogical model to support sustainable quality education in remote inter-university studios. Based on the affordances of MUVEs, the IAM expands the traditional atelier with types of virtual ateliers to support the learners’ sense of belongingness and engagement.
Originality/value
Innovatively, the IAM simultaneously uses MUVEs as educational and design spaces that enhance learning.
Simulating and evaluating the impact that a building design might produce on its prospective occupants is a key challenge in architectural design. Prior work demonstrated the capabilities of ...narrative-based modeling to coordinate the collaborative behavior of virtual occupants. In this work, we aim to demonstrate the scalability and applicability of narrative-based modeling to support the pre-occupancy evaluation of alternative design options in complex real-world hospital facilities. To do so, we developed a narrative-based pre-occupancy evaluation platform that extends pre-existing narrative-based capabilities with (a) a newly developed library space, actor, activities, and narrative entities that support the simulation of real-world human behavior patterns while accounting for the impact that a building design produces on how the patterns unfold, and (b) a newly integrated evaluation module able to generate and visualize numerical data-logs and spatiotemporal data-maps of key performance indicators in hospital settings. We applied the platform to conduct a comparative pre-occupancy evaluation of two different architectural designs for an outpatient ophthalmology clinic. Results demonstrate the scalability and applicability of narrative-based modeling to help design stakeholders visualize and analyze how design decisions may impact future building operations in outpatient clinics.
•Analyzing how buildings will be used prior to their construction is a complex task.•Narrative-based modeling coordinates multi-agent behaviors in abstract settings.•We aim to test the model scalability and applicability to complex hospitals.•We developed a narrative-based platform that extends narrative-based capabilities.•We demonstrate our approach by evaluating two outpatient clinic designs.
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GEOZS, IJS, IMTLJ, KILJ, KISLJ, NLZOH, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UILJ, UL, UM, UPCLJ, UPUK, ZAGLJ, ZRSKP
Abstract This study explores the construction, characterization, and measurement of the design space using a novel approach that centres on First Occurrences (FOs) and Re-Occurrences (ROs) as ...metrics. Expert architects' cognitive behaviours during the design process were investigated empirically to gain insights into design space evolution. Findings reveal a consistent generation and revisiting of ideas, signifying an ongoing development of the design space. Future research should incorporate diverse methodologies and broader participant sample for a more comprehensive understanding.
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