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

The covid-19 pandemic situation has created significant changes in educational and public health systems; It changes both the dimensions of health promotion, health care, and disease prevention for citizens. Furthermore, Digital health literacy is an essential learning outcome for people in the ubiquitous healthcare ecosystem. Consequently, this all pushes educational and public health organizations have necessary to offer Technology-Enhanced Learning (TEL) to promote urgently digital health literacy for citizens. This study aimed to propose the conceptual framework of crowd context-based learning via IoT wearable technology to promote digital health literacy. The research objectives were to synthesize and evaluate the feasibility of the conceptual framework. The research methodology used in this study is mixed methods research. The results show that: (1) the novel conceptual framework has four elements: 1) cybergogical approach, 2) technological approach, 3) learning experience design, and 4) learning outcomes assessments; (2) All twelve specialists agreed that the novel conceptual framework had overall feasibility at a very high level . From the results, we anticipate that our conceptual framework could be used to referencing framework into practices for designing learning models and digital interventions to promote digital health literacy and health behavior change. Thus, this is an initial conceptual framework for moving towards the ‘next normal’ in educational and public health systems.