2025 ASEE Annual Conference & Exposition

Insights into Faculty's use of Generative Artificial Intelligence systems in Engineering Classrooms.

This study investigates the usage of Generative Artificial Intelligence (GenAI) tools among faculty in construction, engineering, and computing disciplines. With the rapid proliferation of Generative AI among students, faculty, and professionals, it is crucial to understand how faculty engage with GenAI, manage its use by students, and cultivate awareness of its applications within their respective professions. This research explores several key areas: a) the extent to which faculty have adopted these technologies, b) the barriers and challenges they face in integrating GenAI into their teaching practices, and c) their aptitude for training and professional development in GenAI tools. A critical question raised in this study is " What is the current awareness among faculty about available professional development opportunities related to GenAI, and how willing are they to integrate these tools into their curricula?
The findings aim to offer insights into how we may start bridging gaps between pedagogy, technology, and the use of GenAI in engineering and related fields. Additionally, we offer an overview of faculty readiness and perceptions regarding the integration of GenAI, identifying areas where further support, training, or resources may be needed to enable the effective use of GenAI in educational settings. Understanding these aspects will inform how GenAI tools can be leveraged to enhance learning experiences in engineering classrooms, bridging gaps between technology and pedagogy.

Authors
  1. Ms. Azadeh Hassani University of Nebraska - Lincoln [biography]
  2. Jordan M Wheeler University of Nebraska - Lincoln
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

For those interested in:

  • computer science
  • Faculty
  • Graduate
  • information technology