Lin Liu
Nanjing University of Aeronautics and Astronautics, Nanjing, Jiangsu, 211100, China

DOI:https://doi.org/10.5912/jcb1742


Abstract:

The integration of digital health concepts and biotechnological innovations into health education evaluation at higher education institutions represents a significant advancement in educational methodologies. This paper delves into the evolution of digital health from its origins in medical informatics to its current state as smart health, enriched by biotechnological applications. A detailed classification of digital health is proposed, emphasizing its coverage area and radiation range, which are critical for understanding its application in educational settings. The paper analyzes the characteristics of existing health education teaching models in colleges and universities, proposing basic forms of health education models that leverage digital health concepts. Furthermore, it introduces a comprehensive evaluation framework for health education, structured around digital health metrics. This framework includes evaluation indices such as audience level, benefit level, and implementation level, incorporating biotechnological tools and methods to enhance the accuracy and efficacy of these evaluations. For instance, using biotechnological innovations such as genetic algorithms and data analytics, the paper assesses the effectiveness of these educational models. The results show that for the C31 index, 26.5% of evaluations rated the educational outcomes as "excellent," while for the C32 index, 29.46% received a "good" evaluation. The adaptability of the model, supported by digital health tools, also achieved a favorable rating, demonstrating the practical benefits of integrating digital health and biotechnology into health education evaluations.