Purpose: The present work reviews the impacts of the Covid-19 pandemic on architecture education (AE), with the aim of discussing the interaction and integration of technology-based models.Design/methodology/approach: Different research methods were used to achieve the research purposes including an online survey, semistructured interviews, observations and reviewing recent literature. The study proposes a theoretical framework to investigate blended learning (BL) approaches in AE, based on the blended teaching–learning continuum, the growth of online delivery mode and technology integration and the gradual responsibility adopted for the current Covid-19 pandemic.Findings: The study proposes a vision to reimagine post-Covid-19 education and the required BL strategy to provide a theoretical framework that integrates the instructional models required to be investigated by instructors.Research limitations/implications: The research findings are based on a theoretical approach not tested practically. A further detailed investigation is required. Thus, the road to reimagining the post-Covid-19 AE is still evolving.Social implications: As faculty members, one should take steps toward preparing BL strategies. These strategies present other alternatives to continue teaching and learning while keeping safe in any other emergency in education. In this work, an overview of BL approaches, continuum and related technological and instructional models has been shaped to propose a new vision to post-Covid-19 AE.Originality/value: This paper responds directly to the initiated call on the pandemic's effect on traditional education by taking a pedagogical perspective. The study presents a holistic BL strategy and proposes a new theoretical and instructional model to design a suitable and balanced BL environment in AE.

The architecture, engineering, construction, and operation (AECO) industry is evolving rapidly. In particular, technological advancements and lessons learned from the COVID-19 pandemic are shaping the industry’s future. Various artificial intelligence (AI), building information modeling (BIM), and Internet of Things (IoT) techniques have contributed to the industry’s modernization by enabling more self-reliable, self-automated, self-learning, time-saving, and cost-effective processes throughout the various life cycle phases of a smart building or city. As a result, the concept of digital twins (DTs) has recently emerged as a potential solution to optimize the AECO sector to achieve the required cyber-physical integration, particularly following the pandemic. Based on a systematic review, the study develops and proposes theoretical models that examine the evolution of DTs in the context of BIM, cutting-edge technologies, platforms, and applications throughout the project’s life cycle phases. This study demonstrates DTs’ high potential as a comprehensive approach to planning, managing, predicting, and optimizing AECO projects that will achieve more Sustainable Development Goals (SDGs). However, while DTs offer many new opportunities, they also pose technical, societal, and operational challenges that must be addressed.