2025 ASEE Annual Conference & Exposition

Use of AI in a Graduate Construction Estimating Course

The construction industry faces ongoing challenges such as low productivity, cost overruns, and labor shortages, prompting increased interest in digital and AI solutions to enhance efficiency. This study explores the integration of Togal.AI, an artificial intelligence tool, and other Generative AI tools into a graduate-level construction estimating course and examines its implications for construction education. The research involved nine graduate students primarily utilizing Togal.AI to estimate tasks and document their experiences to answer the question, “What are student experiences related to the use of AI in a construction estimating course?” A qualitative content analysis of student feedback revealed several key themes: learning curve with AI tools, estimating accuracy using AI, comparison with traditional methods, challenges, and potential for future adoption. Integrating AI tools in coursework appeared to have enhanced students' skills in quantity take-off and cost estimation, preparing them for the evolving technological demands of the industry. Togal.AI provided hands-on experiences that aligned academic learning with industry practices, effectively bridging the gap between theory and application. Despite initial challenges, such as a learning curve, students expressed increased confidence and familiarity with the tools, indicating that sufficient training and support can help overcome these barriers and enhance digital literacy. Additionally, AI tools fostered critical thinking, as students had to validate AI outputs and understand estimation principles, emphasizing the importance of a balanced approach that combines AI with traditional techniques. The findings suggest that construction education should integrate AI-focused modules alongside traditional estimating methods to ensure students are equipped with foundational and advanced technological skills. These insights seek to guide educators looking to modernize construction curricula to align with industry needs and technological advancements.

Authors
  1. Dr. Xi Wang Drexel University [biography]
  2. tianjiao zhao East Carolina University [biography]
Note

The full paper will be available to logged in and registered conference attendees once the conference starts on June 22, 2025, and to all visitors after the conference ends on June 25, 2025