To assess the impact of digital problembased learning (PBL) cases on student learning in ophthalmology courses.Methods: Ninety students were randomly divided into 3 classes (30 students per class). The first class studied under a didactic model. The other 2 classes were divided into 6 groups (10 students per group) and received PBL teaching; 3 groups studied via cases presented in digital form and the others studied via paper-form cases. The results of theoretical and case analysis examinations were analyzed using the 2 test. Student performance on the interval practice was analyzed using the Kruskal-Wallis test. Questionnaires were used to evaluate student and facilitator perceptions.Results: Students in the digital groups exhibited better performance in the practice procedures according to tutorial evaluations compared with the other groups (PϽ.05). The 2 PBL classes had significantly higher mean results of theoretical and case analysis examinations (PϽ.001), but there was no significant difference between the 2 PBL classes. Ninety-three percent of students in the digital groups (vs 73% in the paper groups) noted that the cases greatly stimulated their interest.Conclusions: Introducing PBL into ophthalmology could improve educational quality and effectiveness. Digital PBL cases stimulate interest and motivate students to further improve diagnosis and problem-handling skills.
Background The advancement of wearable devices and growing demand of consumers to monitor their own health have influenced the medical industry. Health care providers, insurers, and global technology companies intend to develop more wearable devices incorporating medical technology and to target consumers worldwide. However, acceptance of these devices varies considerably among consumers of different cultural backgrounds. Consumer willingness to use health care wearables is influenced by multiple factors that are of varying importance in various cultures. However, there is insufficient knowledge of the extent to which social and cultural factors affect wearable technology acceptance in health care. Objective The aims of this study were to examine the influential factors on the intention to adopt health care wearables, and the differences in the underlying motives and usage barriers between Chinese and Swiss consumers. Methods A new model for acceptance of health care wearables was conceptualized by incorporating predictors of different theories such as technology acceptance, health behavior, and privacy calculus based on an existing framework. To verify the model, a web-based survey in both the Chinese and German languages was conducted in China and Switzerland, resulting in 201 valid Chinese and 110 valid Swiss respondents. A multigroup partial least squares path analysis was applied to the survey data. Results Performance expectancy (β=.361, P<.001), social influence (β=.475, P<.001), and hedonic motivation (β=.111, P=.01) all positively affected the behavioral intention of consumers to adopt wearables, whereas effort expectancy, functional congruence, health consciousness, and perceived privacy risk did not demonstrate a significant impact on behavioral intention. The group-specific path coefficients indicated health consciousness (β=.150, P=.01) as a factor positively affecting only the behavior intention of the Chinese respondents, whereas the factors affecting only the behavioral intention of the Swiss respondents proved to be effort expectancy (β=.165, P=.02) and hedonic motivation (β=.212, P=.02). Performance expectancy asserted more of an influence on the behavioral intention of the Swiss (β=.426, P<.001) than the Chinese (β=.271, P<.001) respondents, whereas social influence had a greater influence on the behavioral intention of the Chinese (β=.321, P<.001) than the Swiss (β=.217, P=.004) respondents. Overall, the Chinese consumers displayed considerably higher behavioral intention (P<.001) than the Swiss. These discrepancies are explained by differences in national culture. Conclusions This is one of the first studies to investigate consumers’ intention to adopt wearables from a cross-cultural perspective. This provides a theoretical and methodological foundation for future research, as well as practical implications for global vendors and insurers developing and promoting health care wearables with appropriate features in different countries. The testimonials and support by physicians, evidence of measurement accuracy, and easy handling of health care wearables would be useful in promoting the acceptance of wearables in Switzerland. The opinions of in-group members, involvement of employers, and multifunctional apps providing credible health care advice and solutions in cooperation with health care institutions would increase acceptance among the Chinese.
In fact students have already received almost totally grammatical rules during their several years study, but they often lack of the ability to actually use English and to understand the use in normal intercultural communication. Misunderstandings caused by cultural differences have involved them frequently in intercultural miscommunication. The purpose of this paper is to present the concept of intercultural communication competence, focus its importance on foreign language teaching, and indicate how to cultivate students' intercultural communication competence. The writer emphasis the relationship between culture and language, communication and culture, she briefly introduces the situation in foreign language teaching in the past and today. In this paper, the author try to illustrate how to cultivate students who are not English major to understand the cultural meanings of language, and try to help them use English properly, especially in special context.
It is very important to research the physical and psychology of crew for ship safe. The artificial neural network theory is applied to the crew health evaluation, according to the crew health evaluation index. The corresponding BP neural network for health state evaluation established. Training samples of neural network obtained using the expert experience and statistical data. With the aid of computer and MATLAB software, the evaluation results can be conveniently achieved. BP neural network model that was trained can be operated "off-line", evaluate the crew physical and psychological health status accurately and effectively. And the guidance and recommendations of sports items intervention measures were given by crew health expert system. All these research will help the crew to improve the level of physical and psychology health.
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