Zhang, S., & Specking, E. (2023, June), Board 362: Promoting Research-Driven Data Analytics Curriculum in High School through an NSF RET Site   Paper presented at 2023 ASEE Annual Conference & Exposition, Baltimore , Maryland. 10.18260/1-2--43016

\bibitem{asee_peer_43016}
  Zhang, S., \& Specking, E. (2023, June), \emph{Board 362: Promoting Research-Driven Data Analytics Curriculum in High School through an NSF RET Site }
  Paper presented at 2023 ASEE Annual Conference \& Exposition, Baltimore , Maryland.
  10.18260/1-2--43016

Shengfan Zhang and Eric Specking.  "Board 362: Promoting Research-Driven Data Analytics Curriculum in High School through an NSF RET Site ".  2023 ASEE Annual Conference & Exposition, Baltimore , Maryland, 2023, June.  ASEE Conferences, 2023.  https://peer.asee.org/43016 Internet.  28 Jun, 2024

\bibitem{asee_peer_43016}
  Shengfan Zhang and Eric Specking.
  "Board 362: Promoting Research-Driven Data Analytics Curriculum in High School through an NSF RET Site ".
  \emph{2023 ASEE Annual Conference \& Exposition, Baltimore , Maryland, 2023, June}.
  ASEE Conferences, 2023.
  https://peer.asee.org/43016 Internet.  28 Jun, 2024

@INPROCEEDINGS{asee_peer_43016
author = "Shengfan Zhang and Eric Specking"
title = "Board 362: Promoting Research-Driven Data Analytics Curriculum in High School through an NSF RET Site "
booktitle = "2023 ASEE Annual Conference \& Exposition"
year = "2023"
month = "June"
address = "Baltimore , Maryland"
publisher = "ASEE Conferences"
note = {https://peer.asee.org/43016}
number = {10.18260/1-2--43016}
}

TY  - CPAPER
AB  - The Arkansas Data Analytics Teacher Alliance (AR-DATA) program, a Research Experience for Teachers (RET) site in Arkansas supported by the National Science Foundation, is in its second year and have twenty high school teachers participating so far. The objectives of the program are to (1) promote research-driven high school data analytics curriculum and education to reach underserved students, such as those in rural areas; (2) provide a professional development opportunity for teachers to attain new knowledge in data analytics and various engineering application; and (3) encourage a long-term collaborative partnership between the University and public school districts in the region to strength data analytics education.  

Currently, participating teachers have developed learning modules in mathematics, computer science, and pre-engineering. Faculty mentors across different fields in engineering and industry advisors helped the participating teachers develop modules reflecting current cutting-edge research in data analytics as well as gain a better understanding of the development needs for next-generation data analytics workforce.  In this paper, we summarize key activities of the AR-DATA program, including findings from the application process, the six-week summer program, and academic year follow-up. We analyze the teachers' expectation and feedback of the program as well as the learning modules developed and piloted in the classroom. Finally, we present challenges and opportunities for sustainability of the AR-DATA program. 
AU  - Shengfan Zhang
AU  - Eric Specking
CY  - Baltimore , Maryland
DA  - 2023/06/25
PB  - ASEE Conferences
TI  - Board 362: Promoting Research-Driven Data Analytics Curriculum in High School through an NSF RET Site 
UR  - https://peer.asee.org/43016
DO  - 10.18260/1-2--43016
ER  -