2025 ASEE Annual Conference & Exposition

The Digital Transformation of Structural Analysis Courses: Implemented Changes in Recent Years

Presented at Architectural Engineering Division (ARCHE) Technical Session 2

This paper presents the various models implemented in Structural Analysis courses at our university (name withheld) over the past eight years, encompassing a total of 300 students. Structural Analysis courses are known to be challenging for Civil Engineering and Architecture students, and in recent years, due to global disruptions such as the COVID-19 pandemic, the way these courses are taught has changed significantly compared to nearly a decade ago. Initially, a model was introduced that involved using a YouTube channel as a repository for lecture materials presented by professors. Additional changes included using diverse learning spaces on campus for class sessions, including a room we designated as the Innovate Room.

With the onset of the pandemic, all courses transitioned to an online format, utilizing digital communication platforms like Zoom. This sudden shift accelerated the digital transformation of both the course content and the learning dynamics between students and professors. The model was adapted for online learning while maintaining a student-centered approach. Once students returned to campus, the model evolved further, incorporating hybrid learning sessions and asynchronous materials to complement the course structure. Over the past three years (or six semesters), these courses have been aligned with our university’s new educational model (name withheld), which is a competency-based, student-centered approach. Within this framework, a challenge-based methodology was introduced, coupled with modifications to the existing hybrid model.

This paper highlights the results from the past fifteen semesters, during which a continuous digital transformation of traditional Structural Mechanics courses has been applied. The findings demonstrate steady improvements in student satisfaction and pass rates. The paper also explores the types of activities students preferred during these terms, along with their perceptions of how Artificial Intelligence tools could be integrated into future iterations of the course model. Moreover, a discussion is provided on students’ views regarding the future of universities and academic courses in a post-pandemic world.

We present these results to illustrate how a highly theoretical course, such as Structural Analysis, can greatly benefit from the integration of digital transformation elements. The evidence suggests that these changes have had a positive impact not only on the course’s learning outcomes but also on student motivation. Furthermore, we believe that the lessons learned from these adaptations could be applied to other courses and undergraduate programs, particularly those where student engagement is low, and where a course redesign might yield similar positive outcomes.

Authors
  1. Mr. Jorge A. Gonzalez-Mendivil Tecnológico de Monterrey [biography]
  2. Dr. Gibrán Sayeg-Sánchez Tecnologico de Monterrey (ITESM) [biography]
  3. Ing. Luis Horacio Hernandez Carrasco P.E. Tecnologico de Monterrey (ITESM) [biography]
  4. Prof. Martha Elena Nunez Tecnologico de Monterrey (ITESM) [biography]
  5. Graciela Donaxii Rodriguez Paz Tecnologico de Monterrey (ITESM)
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