Malallah, S. A., & Shamir, L., & Hsu, W. H., & Weese, J. L., & Alfailakawi, S. (2023, June), Data Science (Dataying) for Early Childhood  Paper presented at 2023 ASEE Annual Conference & Exposition, Baltimore , Maryland. 10.18260/1-2--42867

\bibitem{asee_peer_42867}
  Malallah, S. A., \& Shamir, L., \& Hsu, W. H., \& Weese, J. L., \& Alfailakawi, S. (2023, June), \emph{Data Science (Dataying) for Early Childhood}
  Paper presented at 2023 ASEE Annual Conference \& Exposition, Baltimore , Maryland.
  10.18260/1-2--42867

Safia A. Malallah, Lior Shamir, William Henry Hsu, Joshua Levi Weese, and Salah Alfailakawi.  "Data Science (Dataying) for Early Childhood".  2023 ASEE Annual Conference & Exposition, Baltimore , Maryland, 2023, June.  ASEE Conferences, 2023.  https://peer.asee.org/42867 Internet.  26 Apr, 2024

\bibitem{asee_peer_42867}
  Safia A. Malallah, Lior Shamir, William Henry Hsu, Joshua Levi Weese, and Salah Alfailakawi.
  "Data Science (Dataying) for Early Childhood".
  \emph{2023 ASEE Annual Conference \& Exposition, Baltimore , Maryland, 2023, June}.
  ASEE Conferences, 2023.
  https://peer.asee.org/42867 Internet.  26 Apr, 2024

@INPROCEEDINGS{asee_peer_42867
author = "Safia A. Malallah, Lior Shamir, William Henry Hsu, Joshua Levi Weese, and Salah Alfailakawi"
title = "Data Science (Dataying) for Early Childhood"
booktitle = "2023 ASEE Annual Conference \& Exposition"
year = "2023"
month = "June"
address = "Baltimore , Maryland"
publisher = "ASEE Conferences"
note = {https://peer.asee.org/42867}
number = {10.18260/1-2--42867}
}

TY  - CPAPER
AB  - Although evidence suggests that children as young as four years old can develop coding and engineering projects based on data science concepts, data science is often overlooked in early childhood research, and limited resources existed slow its inclusion into this field of study. This paper proposes the Dataying framework to teach data science concepts to young children ages 4–7 years old. The framework development included identifying K–12 data science elements and then validating element suitability for young students. Six cycled steps were identified: identifying a problem, questioning, imagining and planning, collecting, analyzing, and story sharing. This paper also presents examples of data decision problems and demonstrates use of a proposed Insight-Detective method with a plan worksheet for Dataying. 
AU  - Safia A. Malallah
AU  - Lior Shamir
AU  - William Henry Hsu
AU  - Joshua Levi Weese
AU  - Salah Alfailakawi
CY  - Baltimore , Maryland
DA  - 2023/06/25
PB  - ASEE Conferences
TI  - Data Science (Dataying) for Early Childhood
UR  - https://peer.asee.org/42867
DO  - 10.18260/1-2--42867
ER  -