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Record W4296350036 · doi:10.5430/jnep.v13n1p31

First-year nursing students’ digital literacy: A cross-sectional study

2022· article· en· W4296350036 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJournal of Nursing Education and Practice · 2022
Typearticle
Languageen
FieldComputer Science
TopicDigital literacy in education
Canadian institutionsnot available
FundersInyuvesi Yakwazulu-Natali
KeywordsCronbach's alphaIBMMedical educationDigital literacyComputer literacyThe InternetLiteracyPopulationTest (biology)NursingPsychologyMedicineHealth careComputer scienceMathematics educationPedagogyWorld Wide WebPolitical science

Abstract

fetched live from OpenAlex

Background: The digital world is rapidly changing, and so do the required digital skills. As physical devices and software are adapted to meet new possibilities and demands, individuals’ skills must adapt to technological advancement. Digital literacy is increasingly used in the public discourse, becoming a core requirement of students, academics, patients and healthcare professionals. Assessing nursing students’ digital literacy at the entry-level is vital to ascertain their abilities to use digital technologies. This study aimed to assess basic digital literacy among first-year nursing students at a selected university in South Africa.Methods: This cross-sectional study was conducted from 1st March 2019 to 31st May 2019 at a university in South Africa. The population consisted of 82 nursing students from the first-year students in the 4-year nursing programme. The convenience sampling technique was used to determine the participants of this study, and 76 respondents completed a structured questionnaire. Data were analysed descriptively using the Statistical Package for Social Sciences (SPSS®) software (version 25) from the International Business Machines Corporation (IBM®). A reliability test of the instrument was conducted, and Cronbach Alpha was 0.85.Results: The students’ digital literacy included: (i) basic computer skills — performing basic computer operations, MS Word and PowerPoint; (ii) internet skills — using e-mail, Moodle®, social media platforms, accessibility to the internet; and internet searches (iii) digital device usage — desktop, laptops, tablets and smartphones. Overall, the mean for internet skills was 3.61 (SD = ±0.62), 3.11 (SD = ±0.85) for computer skills, and 3.00 (SD = ±0.47) for digital device usage. Computer skills was positively correlated with internet skills (r = 0.278, p = .012) and computer skills corrected with digital device usage (r = 0.384, p < .001). The overall score for internet skills was higher in the female group than in males, with the mean of 4.00 (SD = ±0.62) and 3.61 (SD = ±0.54), respectively (t74 = -0.405, p = .019). Furthermore, the overall score for digital device usage was higher in the age group of 20 years and above with a mean of 3.19 (SD = ±0.38) than in the age group under 20 with a mean of 2.90 (SD = ±0.48), and those differences were statistically significant (t74 = -2.420, p = .018).Conclusions: An adequate digital literacy at the entry-level of the nursing programme is a foundation and a critical factor to academic success and future use of technology in nursing education and practice. Having adequate digital literacy among nursing students would positively impact their ability to perform electronic documentation, communicate and collaborate, and search for information to support evidence-based practice.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.429
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0030.008
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.048
GPT teacher head0.440
Teacher spread0.392 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it