An Investigation Into the Attitudes of Nursing Students Toward Technology
Abstract
BACKGROUND: Attitudes toward technology may impact the levels of technology acceptance and training willingness among nursing students. Nurse acceptance and effective utilization of technology are critical to improving patient care and safety. PURPOSE: The aims of this cross-sectional study were to measurethe attitude of nursing students toward technology and to determine if demographic characteristics affect their attitudinal measures. Furthermore, the amount of formal education provided on the use of technology applications is explored. METHODS: A convenience sample of nursing students attending a public university in Jordan was recruited, and a technology attitude scale designed to measure the attitude of nursing students toward technology was used. Scales designed to gather data on participant demographics, self-reported technology skills, and level of formal technology education were also used. RESULTS: The results showed that participants held a positive attitude toward technology. Students who reported a high level of technology skill had the most positive attitude toward technology. The impact years of formal education on the use of technology applications were low, whereas academic level had a significant impact on technology attitudes. Senior student participants had the highest level of technology education, likely because of their exposure to relatively more educational opportunities, and the most positive attitude toward technology. CONCLUSIONS: Despite the positive attitude of nursing students toward technology, the problem of minimal technology education should be addressed in future nursing programs to further enhance positive attitudes toward technology.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Fourth-year nursing students showed the most positive attitudes toward technology because they had more opportunities to participate in technology education.
“A previous study reported that fourth-year nursing students showed the most positive attitudes toward technology, as they had already had more opportunities to participate in technology education [20].”
From Influence of AI ethics awareness, attitude, anxiety, and self-efficacy on nursing students’ behavioral intentions (2022) · cites this paper as [20]
Cites
Marini, S. D. (2000) · PubMed · Cited by 26 · see citing works
Student nurses' conceptions of computer use in hospitals.
Abbott, K. C. (1993) · PubMed · Cited by 8 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Kwak, Y., Ahn, J.-W., & Seo, Y. H. (2022) · BMC Nursing · doi:10.1186/s12912-022-01048-0 · Cited by 291 · see citing works
Yalcinkaya, T., Ergin, E., & Yucel, S. C. (2024) · Teaching and Learning in Nursing · doi:10.1016/j.teln.2024.07.008 · Cited by 57 · see citing works
- Authors
- Tubaishat, A.
- Affiliations
- Al al-Bayt University (JO)
- Corresponding author
- Tubaishat, Ahmad
- ORCID
- Tubaishat, Ahmad
- Venue
- Journal of Nursing Research
- Published
- 2014-06
- Volume
- 22
- Issue
- 2
- Pages
- 119-125
- ISSN
- 1682-3141 (ISSN-L)
- OpenAlex
- W1984412018
- Cited by
- 27
- References
- 2
- Citations by year
- 2026: 1 · 2025: 3 · 2024: 3 · 2023: 3 · 2022: 1 · 2021: 6 · 2020: 4 · 2018: 3 · 2017: 1 · 2015: 2
- FWCI
- 2.53
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Nursing Research (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Social Sciences › Gender Studies › Gender and Technology in Education
- Physical Sciences › Computer Science › Information Systems › Digital literacy in education
- Health Sciences › Nursing › Leadership and Management › Healthcare Education and Workforce Issues
- Keywords
- nursing students, attitudes toward technology, technology acceptance, technological competence, demographic factors, academic level, nursing education, nursing care technology
- MeSH terms
- Adult, Analysis of Variance, Attitude to Computers, Computer Literacy, Computer User Training, Cross-Sectional Studies, Education, Nursing, Baccalaureate, Female, Humans, Jordan, Male, Surveys and Questionnaires, Students, Nursing, Universities, Nursing Education Research, Nursing Informatics, Young Adult, Self Report
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review