Herbert-Berger, K. G., & Marlowe, T. J., & Anu, V., & Robila, S. A. (2024, June), Board 326: K-12 Teachers and Data Science: Learning Interdiscplinary Science Through Research Experiences  Paper presented at 2024 ASEE Annual Conference & Exposition, Portland, Oregon. 10.18260/1-2--46906

\bibitem{asee_peer_46906}
  Herbert-Berger, K. G., \& Marlowe, T. J., \& Anu, V., \& Robila, S. A. (2024, June), \emph{Board 326: K-12 Teachers and Data Science: Learning Interdiscplinary Science Through Research Experiences}
  Paper presented at 2024 ASEE Annual Conference \& Exposition, Portland, Oregon.
  10.18260/1-2--46906

Katherine G. Herbert-Berger, Thomas J Marlowe, Vaibhav Anu, and Stefan A Robila.  "Board 326: K-12 Teachers and Data Science: Learning Interdiscplinary Science Through Research Experiences".  2024 ASEE Annual Conference & Exposition, Portland, Oregon, 2024, June.  ASEE Conferences, 2024.  https://peer.asee.org/46906 Internet.  22 Dec, 2024

\bibitem{asee_peer_46906}
  Katherine G. Herbert-Berger, Thomas J Marlowe, Vaibhav Anu, and Stefan A Robila.
  "Board 326: K-12 Teachers and Data Science: Learning Interdiscplinary Science Through Research Experiences".
  \emph{2024 ASEE Annual Conference \& Exposition, Portland, Oregon, 2024, June}.
  ASEE Conferences, 2024.
  https://peer.asee.org/46906 Internet.  22 Dec, 2024

@INPROCEEDINGS{asee_peer_46906
author = "Katherine G. Herbert-Berger, Thomas J Marlowe, Vaibhav Anu, and Stefan A Robila"
title = "Board 326: K-12 Teachers and Data Science: Learning Interdiscplinary Science Through Research Experiences"
booktitle = "2024 ASEE Annual Conference \& Exposition"
year = "2024"
month = "June"
address = "Portland, Oregon"
publisher = "ASEE Conferences"
note = {https://peer.asee.org/46906}
number = {10.18260/1-2--46906}
}

TY  - CPAPER
AB  - K-12 Teachers and Data Science: Learning Interdiscplinary Science through Research Experiences
Authors: Katherine G. Herbert-Berger, Vaibhav K. Anu, Sumi Hagiwara, Rebecca A. Goldstein, Minsun Shin, Stefan Robila, Jason T.L. Wang, Thomas J. Marlowe

Data science is now pervasive across STEM, and early exposure and education in its basics will be important for the future workforce, academic programs, and scholarly research in engineering, technology, and the formal and natural sciences, and in fact, across the full spectrum of disciplines. When combined with an emphasis on soft skills and an interdisciplinary focus, such educational experiences have deeper and more meaningful effects. Our Montclair State University NSF Research Experience for Teachers (RET) grant (NSF Award Number: #2206885, IRB Number: 22-23-3003) exposed teachers to a program integrating solar weather, data science, computer science and artificial intelligence, and STEM pedagogy. The cohort comprised nine middle- and high-school teachers with diverse academic backgrounds and demographics from northern and central New Jersey. The teachers interacted with and were advised by faculty from Montclair and two other institutions, and with outside experts, to learn the basics, develop lesson plans and present these to and interact with a learning-intensive summer camp. As a capstone, the teachers have synthesized research projects from this interdisciplinary content together with their own interests and background. As a result, the teachers have submitted a number of posters with abstracts to the 2024 ACM SIGCSE and IEEE ISEC conferences, and will be presenting grant-related lessons in their classes during the current academic year.
AU  - Katherine G. Herbert-Berger
AU  - Thomas J Marlowe
AU  - Vaibhav Anu
AU  - Stefan A Robila
CY  - Portland, Oregon
DA  - 2024/06/23
PB  - ASEE Conferences
TI  - Board 326: K-12 Teachers and Data Science: Learning Interdiscplinary Science Through Research Experiences
UR  - https://peer.asee.org/46906
DO  - 10.18260/1-2--46906
ER  -