BLOOD DONOR MANAGEMENT SYSTEM USING WEB APPLICATION

Abstract

Architectural Education (AE), a multidisciplinary field, has evolved through various learning forms to meet the demands of an ever-changing learning environment and the need for a sustainable built environment. Despite these advancements, AE still lacks sufficient research collaboration among architecture schools and falls short in practice-oriented learning sessions. This systematic literature review aims to identify and analyze the predominant challenges and trends in AE from 2000 to 2023. Utilizing the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) protocol, keywords were identified and searched within Scopus and Web of Science databases. Ninety-six articles met the inclusion criteria, offering insights into research focus areas within AE. Four main themes emerged: (1) learning approaches, (2) technology innovation, (3) sustainability, and (4) history. The review also highlights prevalent learning methods, such as experiential, blended, e-learning, and online learning, commonly used in architecture schools. The findings emphasize the need for more research on art, social context, and the physical built environment to enrich AE. This study offers a comprehensive understanding of AE's current state and proposes recommendations to improve learning practices, benefiting educators and institutions striving to enhance architectural education.
Architectural education is evolving with the integration of advanced learning methods that enhance creativity, critical thinking, and technical skills. Traditional lecture-based approaches are being supplemented by digital technologies, experiential learning, and interdisciplinary collaboration. Emerging methodologies such as Building. The proposed methodology integrates quantitative and qualitative data collection and analysis, encompassing experimental/quasi-experimental designs, case studies, and mixed methods approaches. Key data collection methods include pre- and post-tests, surveys, interviews, observations, and digital data tracking. The analysis framework utilizes statistical techniques for quantitative data and thematic analysis for qualitative data, culminating in integrated mixed methods interpretations. This framework aims to provide architectural educators with a robust toolset to assess the effectiveness of emerging technologies and pedagogical strategies, such as virtual reality, design-build projects, AI-driven design tools, and alternative studio formats, ultimately enhancing student learning outcomes and preparing future architects for the complexities of the profession.
Information Modeling (BIM), virtual and augmented reality (VR/AR), artificial intelligence (AI), and parametric design tools are transforming how students conceptualize and execute architectural projects. Additionally, problem-based learning (PBL), studio-based pedagogy, and real-world
simulations are fostering deeper engagement and innovation. This paper explores these advanced learning techniques, their impact on architectural education, and how they prepare future architects for a rapidly changing industry theoretical foundations and technical skills.
This paper explores advanced learning methods in architectural education, including:
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Experiential Learning: hands-on, real-world experiences that foster practical skills and critical thinking
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sociology, and environmental science
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Digital Technologies: leveraging computational tools, Building Information Modelling (BIM), and Virtual Reality (VR) to enhance design, analysis, and communication