Model of Crowd Context-Based Learning via IoT Wearable Technology to Promote Digital Health Literacy

Abstract

The global pandemic of coronavirus disease 2019 (COVID-19) demonstrates the urgent need for digital instructional system design to facilitate digital health literacy for citizens in a ubiquitous healthcare ecosystem. This research aimed to propose the Model of Crowd Context-Based Learning via IoT Wearable Technology (CCBL via IoTW Model). The research objectives were to synthesize and evaluate the suitability of the CCBL via IoTW Model to promote digital health literacy. This study employed Mixed-Method Research (MMR), which collects and analyzes both qualitative and quantitative data. The results show that: (1) The CCBL via IoTW Model has 4 components: 1) Input Factors, 2) IoTW-Driven Learning Processes, 3) Digital-Driven Assessments, and 4) Data Visualization and Real-Time Feedback; (2) All the experts agreed that the CCBL via IoTW Model is suitability for promoting digital health literacy and health behavior change of the citizens towards bio-digital citizenship in a ubiquitous healthcare ecosystem through digital health intervention in the future at a very high level (