Howard, A. K. T., & Pardue, S. J. (2025, March), Call to Action!  Paper presented at 2025 ASEE Southeast Conference , Mississippi State University, Mississippi. 10.18260/1-2--54148

\bibitem{asee_peer_54148}
  Howard, A. K. T., \& Pardue, S. J. (2025, March), \emph{Call to Action!}
  Paper presented at 2025 ASEE Southeast Conference , Mississippi State University, Mississippi.
  10.18260/1-2--54148

Anna K. T. Howard and Sally J. Pardue.  "Call to Action!".  2025 ASEE Southeast Conference , Mississippi State University, Mississippi, 2025, March.  ASEE Conferences, 2025.  https://peer.asee.org/54148 Internet.  23 Apr, 2025

\bibitem{asee_peer_54148}
  Anna K. T. Howard and Sally J. Pardue.
  "Call to Action!".
  \emph{2025 ASEE Southeast Conference , Mississippi State University, Mississippi, 2025, March}.
  ASEE Conferences, 2025.
  https://peer.asee.org/54148 Internet.  23 Apr, 2025

@INPROCEEDINGS{asee_peer_54148
author = "Anna K. T. Howard and Sally J. Pardue"
title = "Call to Action!"
booktitle = "2025 ASEE Southeast Conference "
year = "2025"
month = "March"
address = "Mississippi State University, Mississippi"
publisher = "ASEE Conferences"
note = {https://peer.asee.org/54148}
number = {10.18260/1-2--54148}
}

TY  - CPAPER
AB  - In 2024, the American Society for Engineering Education Southeast Section conference hosted a panel discussion about the coming, no make that the arrival, of Artificial Intelligence (AI) in the classroom. Several points became clear to us during that discussion: first, easy access to predictive large-language models (LLM) is alarming to faculty. Second, once these examples of artificial intelligence become widespread, their use will continue. And third, faculty will need to adjust. It has been clear to the Engineering Education community for some time that our students’ learning outcomes are better when we teach using research-based methods  that have evolved  beyond the 1950s-versions of our classrooms. Just as the hand-held calculator changed the way engineer educators instruct and assess in the classroom in the 80s, then internet in the 90s, then cell-phones in the 2000s, technology enhancers, some might say disruptors, require us to adapt. In this paper we will briefly discuss the current state of AI in  engineering classrooms and then discuss what we think can be done to future-proof our teaching.

AU  - Anna K. T. Howard
AU  - Sally J. Pardue
CY  - Mississippi State University, Mississippi
DA  - 2025/03/09
PB  - ASEE Conferences
TI  - Call to Action!
UR  - https://peer.asee.org/54148
DO  - 10.18260/1-2--54148
ER  -