Memarian, B. (2023, June), Indigenizing the Artificial Intelligence (AI) Programmed Engineering Education Curriculum, Challenges and Future Potentials  Paper presented at 2023 ASEE Annual Conference & Exposition, Baltimore , Maryland. 10.18260/1-2--43678

\bibitem{asee_peer_43678}
  Memarian, B. (2023, June), \emph{Indigenizing the Artificial Intelligence (AI) Programmed Engineering Education Curriculum, Challenges and Future Potentials}
  Paper presented at 2023 ASEE Annual Conference \& Exposition, Baltimore , Maryland.
  10.18260/1-2--43678

Bahar Memarian.  "Indigenizing the Artificial Intelligence (AI) Programmed Engineering Education Curriculum, Challenges and Future Potentials".  2023 ASEE Annual Conference & Exposition, Baltimore , Maryland, 2023, June.  ASEE Conferences, 2023.  https://peer.asee.org/43678 Internet.  15 Dec, 2024

\bibitem{asee_peer_43678}
  Bahar Memarian.
  "Indigenizing the Artificial Intelligence (AI) Programmed Engineering Education Curriculum, Challenges and Future Potentials".
  \emph{2023 ASEE Annual Conference \& Exposition, Baltimore , Maryland, 2023, June}.
  ASEE Conferences, 2023.
  https://peer.asee.org/43678 Internet.  15 Dec, 2024

@INPROCEEDINGS{asee_peer_43678
author = "Bahar Memarian"
title = "Indigenizing the Artificial Intelligence (AI) Programmed Engineering Education Curriculum, Challenges and Future Potentials"
booktitle = "2023 ASEE Annual Conference \& Exposition"
year = "2023"
month = "June"
address = "Baltimore , Maryland"
publisher = "ASEE Conferences"
note = {https://peer.asee.org/43678}
number = {10.18260/1-2--43678}
}

TY  - CPAPER
AB  - In this Work-In-Progress (WIP) paper, the integration of Indigenous ways of knowing is explored with a focus on pedagogy that is technologically enhanced with artificial intelligence (AI). An overview of AI programs, providing their key methods of decision making is presented. The technological, educational/philosophical challenges of integrating Indigenous ways of knowing considering AI programs are then discussed from the perspective of a non-Indigenous researcher. The contribution of this work is in recognizing the larger issue of not knowing what Scientific vs. Non-scientific is in the engineering education curriculum and where Indigenous ways of knowing fall into the spectrum. Subsequently, AI programs used in the engineering education curriculum may be challenged to characterize and account for Indigenous ways of knowing through an equitable, diverse, and inclusive lens.
AU  - Bahar Memarian
CY  - Baltimore , Maryland
DA  - 2023/06/25
PB  - ASEE Conferences
TI  - Indigenizing the Artificial Intelligence (AI) Programmed Engineering Education Curriculum, Challenges and Future Potentials
UR  - https://peer.asee.org/43678
DO  - 10.18260/1-2--43678
ER  -