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CIB Conferences

Abstract

Applying generative artificial intelligence in civil engineering education is a transformative step in learning and teaching approaches. This review paper aims to discuss the evolution of the development of the generative AI application in civil engineering. This discipline requires precise calculations, safety considerations, and adherence to strict regulatory standards. Although GenAI tools offer customized learning experiences and general knowledge, several challenges deter the broad adoption of it in civil engineering education, including hallucination, lack of in-depth knowledge, response accuracy, and ethical concerns. This paper reviews state-of-the-art research on applying GenAI to civil engineering education. By collecting, selecting, and analyzing research papers from the recent publications of various databases, this paper reveals several research gaps in the present literature, including the absence of systematic reviews, the need for effective framework implementation that is specifically designed for civil engineering education, and a lack of experiment and thorough analysis on the application of GenAI in civil engineering courses. Moreover, this review strives to establish the basis for future research on integrating GenAI in civil engineering education to improve learning outcomes and experience and better prepare students for the challenges of engineering practice. Based on those insights, this paper highlights the promising approaches and needs for interdisciplinary collaborations to achieve the full potential of GenAI technologies for civil engineering education. This study concludes that while GenAI has the potential to revolutionize civil engineering education, its limitations on practical implementations remain critical challenges, including the need for comprehensive reviews, the development of domain-specific generative AI frameworks, and experimental validation in civil engineering education.

The paper will be presented:

In-person

Primary U.N. Sustainable Development Goals (SDG)

Industry, Innovation and Infrastructure - - Build resilient infrastructure, promote inclusive and sustainable industrialization and foster innovation

Primary CIB Task Group OR Working commission

TG96 – Accelerating Innovation in Construction

Secondary CIB Task Group OR Working commission

W089 – Education in the Built Environment

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