ARCC-EAAE 2026 International Conference
LOCAL SOLUTIONS FOR GLOBAL ISSUES
April 8-11, 2026 | Atlanta, Georgia, USA
Hosted by Kennesaw State University
Conference Agenda
Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).
Please note that all times are shown in the time zone of the conference. The current conference time is: 13th Mar 2026, 11:36:57am PDT
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Session Overview |
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P1: Pedagogies of Engagements 1
Session Topics: Pedagogies of Engagements
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Local Environment and Virtual Reality in Technology Education University of Illinois, Urbana-Champaign, United States of America As part of the foundational education of an architect, students are introduced to abstract concepts in design and technology. Students, for example, may be expected to understand the load flow in a building, while not truly understanding the parts of the building conveying that load. To begin to address this disconnect, a team from architecture and civil engineering constructed a virtual reality environment based on a campus building for the purpose of educational research. This model allows students to explore and participate with various structural concepts in a building’s structure which was also accessible to them on campus. The research team then designed an educational study and tested whether interacting with the virtual reality environment aided students in obtaining a more advanced three-dimensional understanding of building structure. The singular model environment was developed to be tested in both an architecture and engineering class and to meet the needs of the two levels of students (sophomore and senior year). This paper outlines the educational research project through several mechanisms including the project team as well as the funding. The ethical considerations of student research will be discussed through elements of the institutional review board review and requirements. The testing evaluations, surveys, and analysis will be presented. The results of the architectural class 2025 participation reveal that the VR module may support student learning, and that the comfort of the student of the technology has an influence. Further, the majority of the students supported VR as an educational tool. Lastly, the paper will share the challenges of such a research project, highlight possible changes, and reflect on the lessons learned. The position of the conference recognizes that big changes happen with smaller localized solutions. This paper suggests that even in education, a local position can help students grapple with larger concepts. Evaporative Cooling Pedagogy: 3D-Printed Ceramic Systems for Sustainable Design Education Texas Tech University, United States of America This paper presents a graduate design studio that integrated computational design, clay 3D printing, and environmental testing to teach climate-responsive architecture in the semi-arid context of West Texas. As global cooling demand is projected to triple by mid-century, the studio examined how small-scale ceramic evaporative cooling systems can function as low-energy alternatives to mechanical HVAC while serving as instruments for climate literacy. Using locally sourced clay, students designed modular systems that manipulated porosity, surface area, capillarity, and water retention. Prototypes were fabricated with a PotterBot 10 Pro clay printer and evaluated in a custom-built wind chamber that measured temperature and relative humidity. Three projects titled Woven Tile, Ceramic Bloom, and OctaHive demonstrate how digital fabrication can reinterpret vernacular cooling strategies through iterative cycles of modeling, making, testing, and refinement. Each project employed distinct geometric logics to balance surface exposure and internal void volume. Four-hour environmental tests recorded temperature reductions of five to six degrees Fahrenheit and relative humidity increases of up to seventeen percent, confirming measurable evaporative effects under controlled airflow conditions. Variations in cooling duration and intensity revealed clear relationships between geometry, material mass, and moisture retention. The studio positions fabrication as a mode of climate inquiry, linking digital decisions directly to physical performance. By engaging clay, water, and airflow as active design variables, students developed an evidence-based understanding of passive cooling and environmental feedback. The resulting workflow combines local materials, computational modeling, and accessible testing infrastructure to offer a replicable pedagogical model for teaching climate-responsive design through place-based experimentation and measurable performance. AR Street Art is for Everybody: An AR Street Art Method that Provides Real-Time Community Engagement Services Cornell University, Ithaca, NY In contemporary cities, tensions persist between legitimized and illegitimized urban art, limiting public participation and artistic freedom. While murals are widely celebrated, graffiti is frequently criminalized, yet few studies examine the design elements shaping this distinction. This gap challenges the democratic urban ideals described by Jane Jacobs and Henri Lefebvre, who emphasized vibrant and inclusive public spaces. Most existing research focuses on controlling graffiti through surveillance or machine learning rather than exploring how street art—both sanctioned and unsanctioned—can function as a participatory civic medium. This study proposes an augmented reality (AR) street art platform designed to democratize urban expression and expand community participation in creating and evaluating urban art. In the first experimental phase, machine learning and electroencephalography (EEG) measure cognitive and emotional responses to 200 images of sanctioned murals and unsanctioned graffiti collected from Manhattan and the Bronx. Participants view these images in a virtual reality (VR) environment while neural activity is recorded. Verbal feedback is analyzed using the BERT algorithm to evaluate semantic relevance and sentiment. These neural and linguistic datasets are integrated into engagement scores used to classify artworks and identify patterns in public perception. Results show that legitimized murals generate higher engagement scores than illegitimized graffiti based on neural and linguistic analysis. Natural Language Processing (NLP) further indicates murals align more closely with public policy priorities and collective aesthetic preferences. The analysis identifies key design features—including color, composition, and subject matter—that influence public acceptance. Building on these findings, the AR platform integrates AI-assisted creation tools (txt2pix and pix2pix) to generate interactive AR street art. Users can visualize, comment on, navigate, and vote on artworks in urban space, enabling participatory curation. By combining VR evaluation, EEG engagement metrics, and AI-assisted generation, this research reframes urban art as a democratic digital-physical medium supporting civic dialogue and cultural expression. Arguing for the Integration of Active, Embodied Graphics Learning Methods in Architectural Structures Pedagogy (+ Results 2021-2025) Kennesaw Sate University, United States of America This continuing research argues for an alternative instructional model integrating active, embodied graphics for introductory architectural structures. This teaching and learning model is designed to improve upon the conventional lecture-drill format by combining different aspects of modern pedagogy, such as multimedia-associative learning, embodied learning, and collaborative learning. The research limits its scope to the initial structural topics which challenge many architecture students: forces, equilibrium of forces, and simple truss analysis for internal forces. The modified model of instruction and the methodology for gathering data, refined 2018-2019, were used to answer whether the integration of active, embodied graphic techniques contributed to the students’ learning performance. Two small-medium sized classes each year, from 2021 to 2025, form the sample population. This present iteration assigns “control” to the computation-dominant Method of Joints (MoJt) and assigns “intervention” to the graphics-dominant Maxwell Diagram (MaxD) method. Students, instructed in both approaches, select their preferred analysis method to employ in their assessment. Using the midterm test’s major task of simple truss analysis for internal forces, performances were evaluated based on completed task processes, outputs, and efficiency. The research hypothesized that the learning method integrating graphics-actions would both perform better and be much preferred by students. Data has so far shown that preference for the proposed graphics-active method is not decisive and may be influenced by less tangible social and naturalistic factors in the students’ overall learning environment. However, findings across the last five years do point to the graphical MaxD approach outperforming the conventional MoJ approach in terms of correctness of analyses, as well as efficiency of task completion. With these initial results suggesting better performance, the findings lend support for the integration of active, embodied graphics-actions into the instructional approaches for introductory architectural structures, indicating the position that visual-biased learners may benefit from correspondingly graphics-attuned pedagogical strategies. | ||
