Integrating AI in Construction Estimation Education: A Comparative Study of Togal AI and Bluebeam Revu 20
Date
2025-10-13
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
European Journal of Education
Abstract
The integration of artificial intelligence (AI) into construction education is transforming how future professionals approach estimation tasks. This study examines the role of Togal AI—an AI-powered estimation tool—alongside the industry-preferred Bluebeam Revu 20 in undergraduate construction education. Through a structured experiment with 60 students, we tracked flooring area estimations for a school building, collecting both quantitative performance metrics and qualitative survey responses. Key findings show Togal AI accelerated task completion by 51.3%, improved measurement accuracy by 20.4%, enhanced team co-ordination by 28.4% and sped up change order processing by 75.7%, while boosting confidence by 55.2%. However, semi-structured interviews revealed concerns that over-reliance on automation might hinder critical thinking. This highlights the importance of curricular frameworks positioning AI as an educational support tool rather than a replacement for essential competencies. This study offers practical strategies for integrating AI tools into estimation education. While Togal AI automates measurement, freeing cognitive capacity for large, complex projects, its technical limitations, oversimplified markups and risk of over-reliance on AI underscore the need for curricula that balance AI efficiency with manual estimation skills. These findings inform the modernization of academic curricula, ensuring AI enhances rather than replaces essential competencies in construction education.
Description
This article was originally published in European Journal of Education. The version of record is available at: https://doi.org/10.1111/ejed.70287
This is an open access article under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
© 2025 The Author(s). European Journal of Education published by John Wiley & Sons Ltd.
Keywords
AI in education, automation in construction management, construction estimating, critical thinking in AI-assisted learning. pedagogical innovation, Togal AI
Citation
Zhao, T., X. Lin, and R. Na. 2025. “ Integrating AI in Construction Estimation Education: A Comparative Study of Togal AI and Bluebeam Revu 20.” European Journal of Education 60, no. 4: e70287. https://doi.org/10.1111/ejed.70287.