An Introduction to the Artificial Intelligence-Driven Technology Adoption in Nursing Education Conceptual Framework: A Mixed-Methods Study.
Background/Objectives: Technological advancements are revolutionizing nursing education by improving precision, patient outcomes, and learning experiences. There is an urgent need for systematic frameworks to help nurse educators effectively integrate advanced technologies into their teaching method...
| Published in: | Nursing Reports Vol. 15; no. 6; pp. 184 - 199 |
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| Main Authors: | , |
| Format: | research tables/charts Journal Article |
| Published: |
MDPI
Jun2025
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=186260235&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 186260235 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 2039439X EGNT jtl: Nursing Reports issn: 2039439X maglogo: N pubinfo: dt: Jun2025 vid: 15 iid: 6 pid: 97109 pub: MDPI artinfo: ui: 186260235 186260235 186260235 10.3390/nursrep15060184 186260235 ppf: 184 ppct: 15 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: An Introduction to the Artificial Intelligence-Driven Technology Adoption in Nursing Education Conceptual Framework: A Mixed-Methods Study. aug: au: Maguire, Mary Beth White, Anne affil: Laerdal Medical, Wappingers Falls, NY 12590, USA sug: subj: Education, Nursing Artificial Intelligence Utilization Technology Utilization Teaching Methods Program Evaluation Conceptual Framework Students, Nursing Human Male Female Adolescence Multimethod Studies Surveys Attitude to Health Educational Measurement Curriculum Quantitative Studies Qualitative Studies Aging Education Adolescent: 13-18 years Male Female ab: Background/Objectives: Technological advancements are revolutionizing nursing education by improving precision, patient outcomes, and learning experiences. There is an urgent need for systematic frameworks to help nurse educators effectively integrate advanced technologies into their teaching methods. This manuscript introduces the Artificial Intelligence-Driven Technology Adoption in Nursing Education (AID-TANE) framework and operationalizes its use through a pilot study with undergraduate nursing students. Methods: The framework was tested through a convergent mixed-methods pre/post-test study design involving 160 senior-level community health nursing students who participated in an AI-driven educational intervention. Quantitative data were collected using the Facts on Aging quiz, while qualitative data were gathered from a reflective survey. Statistical analyses included paired-sample t-tests and a qualitative content analysis. Results: The study revealed a statistically significant increase in learners' knowledge about older adults, with mean scores improving from 33.29 (SD = 5.33) to 36.04 (SD = 6.76) post-intervention (t = 5.05, p < 0.001). The qualitative analysis identified four key themes: communication and understanding, patience and empathy, respect for independence, and challenging stereotypes. Conclusions: This study found that AI-driven educational tools significantly improved nursing students' knowledge about older adults and positively influenced their learning experiences. The findings highlight the need for targeted frameworks like AID-TANE to effectively integrate AI into nursing education, ensuring that students are ready for a technologically advanced practice setting. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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