Conference Session

Construction Engineering Division (CONST) Poster Session

Collection

2025 ASEE Annual Conference & Exposition

Authors

Cornelia Asiedu-Kwakyewaa, Michigan State University; Dong Zhao, Michigan State University

Tagged Divisions

Construction Engineering Division (CONST)

education research provided feedback on the survey and possible datacollection process. A pilot study was conducted by 3 graduate students and 1 professor to give 4feedback on the fluidity of the questionnaire and ease of answering the questions after participating.The recommended changes were affected and prepared for data collection.Data CollectionA quantitative survey was used to collect the data. The priori sample size was calculated beforeconducting the survey to ensure that it had sufficient statistical power of 0.80 and effect size givenat a significant level of α = 0.05 to determine the expected relationships whether small, mediumor large. The

Conference Session

Construction Engineering Division: AI & Automation

Collection

2025 ASEE Annual Conference & Exposition

Authors

Hector Buyones-Gonzalez, Universidad Andres Bello, Santiago, Chile ; Monica Quezada-Espinoza, Universidad Andres Bello, Santiago, Chile

Tagged Divisions

Construction Engineering Division (CONST)

thequality and accuracy of the generated information [10]. However, when implemented in abalanced manner, ChatGPT can become a valuable resource for fostering student autonomyand motivation, improving their academic performance and content comprehension [11].Considering the above, this research aims to analyze students’ perceptions of theincorporation of ChatGPT into their learning processes, specifically in the Applied Staticscourse. By doing so, it seeks to provide a stronger foundation for the integration of AI intothe teaching of technical disciplines in engineering programs from the student’s perspective.MethodologyThis study employs an exploratory approach and utilizes a mixed-methods methodology,combining quantitative and qualitative methods