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© 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.

Abstract

This study used a small stories research narrative paradigm to examine social media posts that focused on efforts to sustain the delivery of early childhood education during COVID. Inductive and deductive content analysis focused on 1303 posts from 177 government officials and 1126 individual users (including preschools, kindergartens, teachers, and parents). The results include an analysis of conversational data that document implementation of the national policy to promote continuity of young children’s learning, including digital resources used, learning content, and teaching approaches. Actor-centric contextual factors determined the success of delivering instruction remotely; however, other contextual components created the conditions that necessitated adaptation of instruction. The COVID outbreak (chrono-level) led to shifts in education delivery and informed national policy (macro-level), influenced the teachers’ and parents’ work contexts (exo-level), enhanced home-school collaboration (meso-level), and required implementation of technological solutions to support children’s learning (micro-level). Contributions to theory, methodology, and practice are discussed.

Details

Title
A Social Media Analysis of the Experiences of Chinese Early Childhood Educators and Families with Young Children during COVID-19
Author
Luo, Wenwei 1   VIAFID ORCID Logo  ; Berson, Ilene R 2   VIAFID ORCID Logo  ; Berson, Michael J 2 

 Shanghai Institute of Early Childhood Education, Shanghai Normal University, Shanghai 200234, China 
 Department of Curriculum, Instruction, and Learning, College of Education, University of South Florida, Tampa, FL 33620, USA 
First page
2560
Publication year
2023
Publication date
2023
Publisher
MDPI AG
e-ISSN
20711050
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2775017614
Copyright
© 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.