Chong, R. C., & Turner, H., & Speck, M. (2019, June), Module and Kemp Instructional Design Approaches to Integrate STEM Issues and Public Policy into Data Science Curricula at a Native Hawaiian and Pacific Islander-serving Institution  Paper presented at 2019 ASEE Annual Conference & Exposition , Tampa, Florida. 10.18260/1-2--33118

\bibitem{asee_peer_33118}
  Chong, R. C., \& Turner, H., \& Speck, M. (2019, June), \emph{Module and Kemp Instructional Design Approaches to Integrate STEM Issues and Public Policy into Data Science Curricula at a Native Hawaiian and Pacific Islander-serving Institution}
  Paper presented at 2019 ASEE Annual Conference \& Exposition , Tampa, Florida.
  10.18260/1-2--33118

Rylan  C. Chong, Helen Turner, and Mark Speck.  "Module and Kemp Instructional Design Approaches to Integrate STEM Issues and Public Policy into Data Science Curricula at a Native Hawaiian and Pacific Islander-serving Institution".  2019 ASEE Annual Conference & Exposition , Tampa, Florida, 2019, June.  ASEE Conferences, 2019.  https://peer.asee.org/33118 Internet.  26 Apr, 2024

\bibitem{asee_peer_33118}
  Rylan  C. Chong, Helen Turner, and Mark Speck.
  "Module and Kemp Instructional Design Approaches to Integrate STEM Issues and Public Policy into Data Science Curricula at a Native Hawaiian and Pacific Islander-serving Institution".
  \emph{2019 ASEE Annual Conference \& Exposition , Tampa, Florida, 2019, June}.
  ASEE Conferences, 2019.
  https://peer.asee.org/33118 Internet.  26 Apr, 2024

@INPROCEEDINGS{asee_peer_33118
author = "Rylan  C. Chong, Helen Turner, and Mark Speck"
title = "Module and Kemp Instructional Design Approaches to Integrate STEM Issues and Public Policy into Data Science Curricula at a Native Hawaiian and Pacific Islander-serving Institution"
booktitle = "2019 ASEE Annual Conference \& Exposition "
year = "2019"
month = "June"
address = "Tampa, Florida"
publisher = "ASEE Conferences"
note = {https://peer.asee.org/33118}
number = {10.18260/1-2--33118}
}

TY  - CPAPER
AB  - There is a need for public policy to be integrated in science, technology, engineering, and mathematics (STEM) education as it brings policy and social relevance into STEM classes with the potential to increase engagement and success of students with STEM content. From the perspective of developing future engineers and scientists, an early emphasis on linkages to public policy and societal issues can promote student buy-in, and prepare for future policy and advocacy work that are, increasingly, a component of scientific and engineering careers. From the perspective of the science and engineering community, early exposure to the responsiveness and integration of policy into STEM will increase capacity to clearly articulate and demonstrate the value of science and engineering to society. As a Native Hawaiian and Pacific Island (NHPI) serving institution, there is an added imperative for us to incorporate social and policy content into classes that focus upon issues that are explicitly relevant to the Pacific context. This paper will extend the work of Ngambeki, Depew, Dark, and Chong by exploring how to introduce public policy into data science classes taught to students who are majority Pacific residents and with significant percentages of indigenous identities. Chaminade University of Honolulu National Science Foundation (NSF) I-USE and INCLUDES programs supported pilot deployment of data science modules into traditional STEM classes at Chaminade University between 2017-2019. Each module specifically incorporated data sets that derived from key policy related issues in the Pacific, ranging from engineering, environment, and health disparities. The case study used in this paper will present a model to design a module, and the Kemp instructional design framework to integrate the module and public policy in a data science class. 
AU  - Rylan  C. Chong
AU  - Helen Turner
AU  - Mark Speck
CY  - Tampa, Florida
DA  - 2019/06/15
PB  - ASEE Conferences
TI  - Module and Kemp Instructional Design Approaches to Integrate STEM Issues and Public Policy into Data Science Curricula at a Native Hawaiian and Pacific Islander-serving Institution
UR  - https://peer.asee.org/33118
DO  - 10.18260/1-2--33118
ER  -