Overcoming the bias of English as the universal scientific language in a technological age – specific challenges for nursing scholars

Kapitel in diesem Buch

1. Frontmatter I
2. Contents V
3. Assessing language and communication ability of healthcare professionals: Current technological and societal trends – an introduction 1
4. Section 1: Technology for medical language assessment: AI and machine learning
5. Artificial Intelligence for improving medical communication: Envisioning a healthcare communication training technology ecosystem 9
6. Assessing reflective writing of medical students using Natural Language Processing approaches 39
7. Overcoming the bias of English as the universal scientific language in a technological age – specific challenges for nursing scholars 61
8. Section 2: Technology for medical language assessment: Mathematical modeling and data visualization
9. Mapping medical communication assessments: Prescribing Rasch measurement technology as a tool for visualizing evaluations 81
10. Section 3: Technology for medical language assessment: Online delivery platforms for testing and education
11. Designing tech-enhanced medical English class with a focus on healthcare communication 109
12. Language assessment at the intersection of nursing communicative competence and technology 125
13. Conclusion
14. A tentative glimpse into the future of technology for healthcare language assessment 147
15. Index 151