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The influence of nursing undergraduates' artificial intelligence readiness on their use intention and path of action
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Chaoqun LIANG, Huaxue ZHANG, Xiuzhen FAN
Chinese Nursing Research | 2026, 40(14) : 2423 - 2429
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Chinese Nursing Research | 2026, 40(14): 2423-2429
• Original Articles •
The influence of nursing undergraduates' artificial intelligence readiness on their use intention and path of action
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Chaoqun LIANG, Huaxue ZHANG, Xiuzhen FAN
Affiliations
  • 1School of Nursing and Rehabilitation, Shandong University, Shandong 250012 China
Published: 2026-07-25 doi: 10.12102/j.issn.1009-6493.2026.14.005
Outline
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Objective

To investigate nursing undergraduates' readiness and intention to use artificial intelligence,and to elucidate the path of action through which artificial intelligence readiness influences their intention to use artificial intelligence based on the technology acceptance model.

Methods

Using convenience sampling,460 nursing undergraduates from five universities in Shandong,Henan,and Sichuan provinces were selected from March to July 2025.Participants were surveyed using a general information questionnaire,the Artificial Intelligence Technology Acceptance Scale,and the Medical Artificial Intelligence Readiness Scale for Medical Students.

Results

Among the 460 nursing undergraduates,the mean item score for artificial intelligence use intention was 5.53±1.13.Mean item scores for dimensions of the Medical Artificial Intelligence Readiness Scale for Medical Students,from lowest to highest,were cognition 2.85±0.79,ability 3.32±0.75,vision 3.54±0.72,and ethics 3.85±0.75.Path analysis results showed that cognition,ability,and ethics indirectly influenced artificial intelligence use intention through the mediating effect of perceived usefulness.Furthermore,cognition,ability,and vision indirectly influenced artificial intelligence use intention through the chain-mediating effects of perceived ease of use and perceived usefulness.

Conclusions

Nursing undergraduates' intention to use artificial intelligence is moderately high,but considerable room for improvement remained.Nursing educators should strengthen training in artificial intelligence knowledge and application skills for nursing undergraduates,while simultaneously fostering their forward-looking vision and awareness of ethics.These measures may enhance nursing undergraduates' artificial intelligence readiness,improve their perceived ease of use and perceived usefulness of artifical intelligence,and consequently increase their intention to use artificial intelligence.

nursing undergraduate students  /  artificial intelligence  /  readiness  /  intention to use  /  structural equation modeling  /  influencing factors  /  pathway analysis
梁超群, 张华雪, 范秀珍. 护理本科生人工智能准备度对其使用意愿的影响及作用路径. 护理研究, 2026 , 40 (14) : 2423 -2429 . DOI: 10.12102/j.issn.1009-6493.2026.14.005
Chaoqun LIANG, Huaxue ZHANG, Xiuzhen FAN. The influence of nursing undergraduates' artificial intelligence readiness on their use intention and path of action[J]. Chinese Nursing Research, 2026 , 40 (14) : 2423 -2429 . DOI: 10.12102/j.issn.1009-6493.2026.14.005
Year 2026 volume 40 Issue 14
36
15
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Article Info
doi: 10.12102/j.issn.1009-6493.2026.14.005
  • Receive Date:2025-09-19
  • Online Date:2026-10-30
  • Published:2026-07-25
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  • Received:2025-09-19
  • Revised:2026-06-11
Affiliations
    1School of Nursing and Rehabilitation, Shandong University, Shandong 250012 China
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表12种不同金属材料的力学参数
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Family
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Number of
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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