A5076235733- High voltage insulation and dielectric phenomena
- Obesity, Physical Activity, Diet
- Sodium Intake and Health
- Technology and Data Analysis
- Diverse Approaches in Healthcare and Education Studies
- Non-Destructive Testing Techniques
- Power Transformer Diagnostics and Insulation
- Ultrasonics and Acoustic Wave Propagation
- Mechanical Behavior of Composites
- Online Learning and Analytics
- Nutritional Studies and Diet
- Behavioral Health and Interventions
- Numerical methods in engineering
- AI in Service Interactions
- Technology Adoption and User Behaviour
- Education and Learning Interventions
Jiangsu Normal University
2024-2025
George Institute for Global Health
2022-2023
Peking University
2022
High-salt diet is an important risk factor for several non-communicable diseases. School-based health education has been found effective in reducing salt intake among children and their families China. However, no such interventions have scaled up the real world. For this purpose, a study was launched to support development scale-up of mHealth-based system (EduSaltS) that integrated routine reduction delivered through primary schools. This aims elaborate framework, process, features,...
Salt reduction is a cost-effective, and rather challenging public health strategy for controlling chronic diseases. The AppSalt program school-based multi-component mobile (mhealth) salt designed to tackle the high intake in China. This mixed-methods process evaluation was conducted investigate implementation of this across sites, identify factors associated with implementation, collect evidence optimize intervention design future scale-up.Mixed methods were used sequentially data regarding...
Generative Artificial Intelligence (GAI) holds significant potential to enhance pre-service teacher professional development. However, research has primarily focused on initial acceptance, neglecting post-acceptance behaviours, particularly the factors influencing continued GAI use among teachers. To address this gap, study extends an Expectation-Confirmation Model (ECM) include information quality and AI self-efficacy as additional determinants. Using partial least squares structural...