Understanding Food Literacy Through Google Fit Application : A Case Study in Reframing Positive Communication

In the digital era, food literacy—an essential competency for making informed dietary choices—has gained significance in enhancing not only individual health but also communication skills. This study investigates the role of the Google Fit application in improving food literacy and its subsequent impact on positive communication among university students. Utilizing a qualitative case study approach, we explored how the use of Google Fit influenced the understanding of food literacy and fostered supportive, constructive interactions among 20 English Literature students at UNIMED. Findings reveal that Google Fit’s features, such as calorie tracking and activity monitoring, significantly enhance students' awareness of nutrition and healthy eating behaviors. Furthermore, improved food literacy encouraged participants to engage in data-driven, empathetic dialogues, thus fostering positive communication. The results highlight the potential of mobile applications to serve as effective educational tools, not only for promoting health literacy but also for cultivating essential interpersonal skills. These findings underscore the importance of integrating digital tools into academic practices to bridge the gap between personal health education and broader social competencies.

Authors

Institutions

Publication Details

Journal
Concept Journal of Social Humanities and Education
Published
2024-12-03
DOI
https://doi.org/10.55606/concept.v3i4.1612
Primary Topic
Technology-Enhanced Education Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Understanding Food Literacy Through Google Fit Application : A Case Study in Reframing Positive Communication

Alfira Isya Nabila, Thereza Angie Griffin, Rita Hartati
Concept Journal of Social Humanities and Education
Technology-Enhanced Education Studies
article

Understanding Food Literacy Through Google Fit Application : A Case Study in Reframing Positive Communication

Alfira Isya Nabila, Thereza Angie Griffin, Rita Hartati
article en

Abstract

In the digital era, food literacy—an essential competency for making informed dietary choices—has gained significance in enhancing not only individual health but also communication skills. This study investigates the role of the Google Fit application in improving food literacy and its subsequent impact on positive communication among university students. Utilizing a qualitative case study approach, we explored how the use of Google Fit influenced the understanding of food literacy and fostered supportive, constructive interactions among 20 English Literature students at UNIMED. Findings reveal that Google Fit’s features, such as calorie tracking and activity monitoring, significantly enhance students' awareness of nutrition and healthy eating behaviors. Furthermore, improved food literacy encouraged participants to engage in data-driven, empathetic dialogues, thus fostering positive communication. The results highlight the potential of mobile applications to serve as effective educational tools, not only for promoting health literacy but also for cultivating essential interpersonal skills. These findings underscore the importance of integrating digital tools into academic practices to bridge the gap between personal health education and broader social competencies.

Concept Journal of Social Humanities and EducationVol. 3(4)
State University of Medan (ID)
Quality Education
Openalex Percentile: Top 68%
Technology-Enhanced Education Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.