Work

Data Science (Dataying) for Early Childhood

Year: 2024

Type: conference-paper

Abstract: 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.

Source: ASEE Annual Conference & Exposition

DOI: 10.18260/1-2--42867

Authors: Safia Malallah, Lior Shamir, William Hsu, Joshua Weese, Salah Alfailakawi

Institutions: Kansas State University, Johns Hopkins University

Language: English

Topic: Teaching and Learning Programming

Subfield: Computer Science Applications

Field: Computer Science

Domain: Physical Sciences

SDG: Quality education

Open Access status: bronze

Funder: National Science Foundation