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Trends and patterns in K-12 computer science education: data analysis from twitter.

Authors :
Wang, Cheng
Zhu, Meina
Source :
Educational Media International. Nov2024, p1-22. 22p. 10 Illustrations.
Publication Year :
2024

Abstract

K-12 computer science (CS) education has emerged as a vital component of modern education, nurturing computational thinking, problem-solving, and digital literacy. This study examines the K-12 CS education dynamics, emphasizing its impact and implications, particularly in the context of equity. Twitter data from 2017 to 2021 were collected, focusing on English-language tweets within the United States. This collection was completed before Elon Musk’s acquisition of the company and its subsequent rebranding to X. Three keyword sets span CS education, computational thinking – a core competency of CS learners and CS education organizations and conferences. The findings indicate: (1) a significant decrease in tweet volumes for each set of keywords after 2019, (2) the critical role of coding within a broader STEM education framework, and (3) the centrality of students in semantic networks formed by the tweets, highlighting the pertinence of a student-centered learning strategy in K-12 CS education. To ensure equitable access and opportunities, K-12 CS education in a broader STEM ecosystem should adopt student-centered learning, with teachers facilitating coding, programming, and technology education. These insights inform educators, policymakers, and researchers about K-12 CS education’s significance in preparing students for the future, with a strong emphasis on equity and inclusion. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
09523987
Database :
Academic Search Index
Journal :
Educational Media International
Publication Type :
Academic Journal
Accession number :
181182030
Full Text :
https://doi.org/10.1080/09523987.2024.2434978