Construction of a Teaching Ability Evaluation System for Non-technical Skills Teachers of Higher Vocational Nursing Students Based on Intelligent Technology
Abstract
nursing education based on intelligent technology. Methods: Delphi method was used to consult 15 experts in the fields of school nursing
teaching management, clinical nursing management, clinical nursing teaching and clinical frontline nursing for 3 rounds, and the index was
determined by analytic hierarchy process. Results: The evaluation index system was finally determined to include 4 first-level indexes and 16
second-level indexes, and the weight framework was consciousness>design>technology. Conclusion: The system is scientific, reliable and
practical, and can effectively evaluate the teaching ability of non-technical skills training of higher vocational nursing teachers based on intelligent technology.
Keywords
Full Text:
PDFReferences
[1] Kantrowitz TM. Development and construct validation of a measure of soft skills performance [D]. Atlanta: Georgia Institute of Technology, 2005.
[2] Zhu Bo, Zhang Ya, Feng Xuexin, et al. Analysis Report on the Unattributed Reporting of Surgical Anesthesia Adverse Events at Peking
Union Medical College Hospital from 2010 to 2014 [J]. The Journal of Medicine, 2021, 12:972-976.
[3] Tian Hongwei. Application and Exploration of Intelligent Technology in the Operation and Management of Water Conservancy
Projects[J]. Hydropower and Water Resources, 2023, 8(12): 5937-5783.
[4] National Health Commission of the People's Republic of China. Expert Consensus on the Diagnosis and Treatment of Growth HormoneRelated Liver Cirrhosis [J]. Special Committee on Growth, Development and Gonadal Diseases, 2025.
[5] Lin Xiuqing, Yang Xianmin, Li Yifei. Construction of Evaluation Index System for Data Literacy of Primary and Secondary School
Teachers[J]. China Distance Education, 2020(2):49-56, 75, 77
[6] Wang Bimei, Cao Fangfang. Construction of evaluation index system for teaching ability of science teachers based on Delphi-AHP
method[J]. Contemporary Education and Culture, 2019, 11(3):45-53.)
[7] Qu Chen, Guo Haijian, Li Xiaoning, et al. Application of Delphi Method in Screening Evaluation Indicators of Health Education Informatization Platform[J]. Practical Preventive Medicine, 2015, 22(6):756-759.
[8] Koehler, M. J., & Mishra, P. (2006). Technological pedagogical content knowledge: A framework for teacher knowledge. Teachers College Record, 108(6), 10271054.
[9] International Board of Standards for Training, Performance and Instruction (IBSTPI). (2004). Teacher competency standards: Face-toface, online, and blended environments. Chapter I-1, Table 1.
[10] Sharif H, Atif A. The evolving classroom: How learning analytics is shaping the future of education and feedback mechanisms[J]. Education Sciences, 2024, 14(2): 176.
[11] Nature Editorial. Intelligent technologies in education: a systematic review[J]. Nature, 2025, 618(7964): 123-130.
[12] Zhang Ying. Analysis of the Development Trend of Intelligent Mechanical Equipment[J]. Device Manage & Maintenance, 2023, 6(6):
8478-8430.
[13] Flin R, O'Connor P, Crichton M. Safety at the sharp end: Non-technical skills[M]. Boca Raton: CRC Press, 2018: 25-30.
[14] Wang Ying, Li Huiling, Zhang Na. Research on the Construction of Evaluation Index System for Non-Technical Skills of Nurses[J].
Chinese Journal of Nursing Education, 2021, 18(3):259-263.
DOI: http://dx.doi.org/10.70711/wef.v3i9.9004
Refbacks
- There are currently no refbacks.
