During COVID-19, many schools in the United States restrict parent visits and parent-teacher face-to-face meetings. Consequently, teachers and parents rely on digital technologies to communicate and build partnerships. Yet, little is known about their perceived experiences with digital communication. To contribute knowledge to this area, this study investigated the perceptions of the classroom teacher and parents of preschool children concerning their experiences of communicating with each other via digital technologies during COVID-19. The participants consisted of one teacher and three mothers of 3-year-olds in the same classroom of a private childcare center serving preschool children from mostly middle-class backgrounds in a northeastern state of the United States. The teacher and parents were interviewed individually and virtually via Zoom for 30-60 min ( = 45 min). A thematic analysis uncovered four salient themes: (1) modes of digital communication between the teacher and parents, (2) the nature of digital communication, (3) limitations of digital communication, and (4) digital communication via ClassDojo. The ClassDojo theme further revealed three subthemes: (1) ClassDojo for promoting proactive parent involvement, (2) ClassDojo for building teacher-parent partnerships, and (3) the use of limited functions of ClassDojo. The data were triangulated by analyzing teacher-parent communication artifacts on ClassDojo, which confirmed the findings related to the use of this digital platform.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9244098PMC
http://dx.doi.org/10.1007/s10643-022-01366-7DOI Listing

Publication Analysis

Top Keywords

digital communication
20
digital technologies
12
teacher parents
12
digital
9
teacher-parent partnerships
8
technologies covid-19
8
united states
8
preschool children
8
communication
6
classdojo
6

Similar Publications

Smart farming is a hot research area for experts globally to fulfill the soaring demand for food. Automated approaches, based on convolutional neural networks (CNN), for crop disease identification, weed classification, and monitoring have substantially helped increase crop yields. Plant diseases and pests are posing a significant danger to the health of plants, thus causing a reduction in crop production.

View Article and Find Full Text PDF

The "best practices for farming" successfully contributed to decrease the antibiotic resistance gene abundances within dairy farms.

Front Vet Sci

January 2025

Laboratory of Microbial Ecology and Genomics, Istituto Zooprofilattico Sperimentale delle Venezie, Legnaro, Italy.

Introduction: Farms are significant hotspots for the dissemination of antibiotic-resistant bacteria and genes (ARGs) into the environment and directly to humans. The prevalence of ARGs on farms underscores the need for effective strategies to reduce their spread. This study aimed to evaluate the impact of a guideline on "best practices for farming" aimed at reducing the dissemination of antibiotic resistance.

View Article and Find Full Text PDF

As Water Sensitive Urban Design (WSUD) is a key strategy in integrated urban water management worldwide, there is a need for robust monitoring of WSUD systems. Being economical and flexible for operation and communication, low-cost sensor systems show great potential to mainstream digital water management. Yet, such systems are insufficiently tested, casting doubt on the reliability of their measurements.

View Article and Find Full Text PDF

Advances in the use of AI have led to the emergence of a greater variety of forms disinformation can take and channels for its proliferation. In this context, the future of legal mechanisms to address AI-powered disinformation remains to be determined. Additional complexity for legislators working in the field arises from the need to harmonize national legal frameworks of democratic states with the need for regulation of potentially dangerous digital content.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!