Topic Editors

Departamento de Tecnología de la Edificación, Escuela Técnica Superior de Edificación, Universidad Politécnica de Madrid, 28040 Madrid, Spain
Escuela Técnica Superior de Edificación, Universidad Politécnica de Madrid, 28040 Madrid, Spain
Facultad de Educación, Universidad Internacional de La Rioja (UNIR), 26006 Logroño, Spain
Jovellanos Faculty of Commerce, Tourism and Social Sciences, University of Oviedo, 33066 Oviedo, Spain

Architectural Education

Abstract submission deadline
30 May 2026
Manuscript submission deadline
30 July 2026
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242

Topic Information

Dear Colleagues,

In the 21st century, teaching practice is undergoing a profound transformation, incorporating new methodologies and innovating with new educational tools, driven by digitalization. Schools of architecture and building must enhance their capacity to integrate educational innovation, diversity, and connection with professional practice to train students in a changing and complex society. To this end, active methodologies are increasingly being adopted in higher education to foster creativity, critical thinking, and interdisciplinary collaboration.

Good governance has been consolidated as a fundamental pillar in the management of public administrations. In this sense, the publication and reuse of open data by governments facilitate citizen participation and the continuous improvement of society's services. The increasing availability of open data and the implementation of open science policies are transforming the way governments share information and collaborate with society, creating economic value and facilitating the generation of new knowledge. Likewise, the design of cities and urban spaces is fundamental to the inter- and intra-personal development of citizens, all of which are of great interest nowadays.

Dr. Daniel Ferrández Vega
Dr. Alicia Zaragoza Benzal
Prof. Dr. Rafael Marcos-Sánchez
Dr. Ricardo Curto-Rodríguez
Topic Editors

Keywords

  • education in architecture and buildings
  • sustainable construction
  • open data
  • good governance
  • active methodologies
  • artificial intelligence
  • corporate social responsibility
  • circular economy
  • educational institutions

Participating Journals

Journal Name Impact Factor CiteScore Launched Year First Decision (median) APC
Administrative Sciences
admsci
3.1 5.6 2011 27.7 Days CHF 1600 Submit
Buildings
buildings
3.1 4.4 2011 14.9 Days CHF 2600 Submit
Education Sciences
education
2.6 5.5 2011 29.2 Days CHF 1800 Submit
Societies
societies
1.6 3.0 2011 34.4 Days CHF 1400 Submit
Sustainability
sustainability
3.3 7.7 2009 19.3 Days CHF 2400 Submit

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Published Papers (1 paper)

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22 pages, 10765 KiB  
Article
Exploring the Cognitive Reconstruction Mechanism of Generative AI in Outcome-Based Design Education: A Study on Load Optimization and Performance Impact Based on Dual-Path Teaching
by Qidi Dong, Jiaxi He, Nanxin Li, Binzhu Wang, Heng Lu and Yingyin Yang
Buildings 2025, 15(16), 2864; https://doi.org/10.3390/buildings15162864 - 13 Aug 2025
Abstract
Undergraduate design education faces a structural contradiction characterized by high cognitive load (CL) and relatively low innovation output. Meanwhile, existing generative AI tools predominantly emphasize the generation of visual outcomes, often overlooking the logical guidance mechanisms inherent in design thinking. This study proposes [...] Read more.
Undergraduate design education faces a structural contradiction characterized by high cognitive load (CL) and relatively low innovation output. Meanwhile, existing generative AI tools predominantly emphasize the generation of visual outcomes, often overlooking the logical guidance mechanisms inherent in design thinking. This study proposes a Dual-Path teaching model integrating critical reconstruction behaviors to examine how AI enhances design thinking. It adopts structured interactions with the DeepSeek large language model, CL theory, and Structural Equation Modeling for analysis. Quantitative results indicate that AI-assisted paths significantly enhance design quality (72.43 vs. 65.60 in traditional paths). This improvement is attributed to a “direct effect + multiple mediators” model: specifically, AI reduced the mediating role of Extraneous Cognitive Load from 0.907 to 0.017, while simultaneously enhancing its investment in Germane Cognitive Load to support deep, innovative thinking. Theoretically, this study is among the first to integrate AI-driven critical reconstruction behaviors (e.g., iteration count, cross-domain terms) into CL theory, validating the “logical chain externalization → load optimization” mechanism in design education contexts. Practically, it provides actionable strategies for the digital transformation of design education, fostering interdisciplinary thinking and advancing a teaching paradigm where low-order cognition is outsourced to reinforce high-order creative thinking. Full article
(This article belongs to the Topic Architectural Education)
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