Cited by 142Social Media in Health EducationEducational Technology in LearningImpact of Technology on Adolescents

The DOI matches its Crossref record; 25 of the 25 references it cites were found in a registry or an index.

Social Media in Nursing Education: Responsible Integration for Meaningful Use

Peck, Jessica L.·2014·Journal of Nursing Education

Abstract

The astonishing popularity of social media and its emergence into the academic arena has shown tremendous potential for innovations in teaching. The appeal of using social media in the learning environment is enhanced by accessibility and affordability. However, it has also broadened the scope of consideration for protecting student privacy. This article explores the legal impact of privacy concerns when social media is used as a teaching tool. Institutions of higher learning must formulate guidelines that will govern appropriate social media use so that novel teaching modalities can be safely explored. Students must be educated by faculty regarding the standards of conduct and privacy considerations related to social media. The National Council of State Boards of Nursing has issued the White Paper: A Nurse’s Guide to the Use of Social Media , a must-read for nursing faculty in the current academic arena. [ J Nurs Educ. 2014;53(3):164–169.]

Overview

Integrity signals

Registry

Crossref · 10.3928/01484834-20140219-03

Cites

25 of 25 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Verification

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

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?

Citations

Cites

Research works printed but not linked: 4

  1. Berta M. (2012 October 12). Twitter in learning workshop recap [Web log post]. Retrieved from http://experimentalpedagogy.blogspot.com/2012/10/twitter-in-learning-workshop-recap.html
  2. Duncan S.H. (2008). From armbands and MySpace to cell phones: Interesting school law cases across the country. KY Bench and Bar, (72),20–24.
  3. Peck J. (2013, January). Teaching with technology 2.0. In Faculty Development for the School of Nursing. Presented at the meeting of the University of Texas Medical Branch School of Nursing, Galveston, TX.
  4. Viscounty P. Barry J.L. (2010 December 10). Perspective: How discoverable is social media content? Los Angeles and San Francisco Daily Journal . Retrieved from http://www.lw.com/upload/pubContent/_pdf/pub3852_1.pdf

Cited by

Sorted by citations

See all 142

Metadata

Authors
Peck, J. L.
Affiliations
The University of Texas Medical Branch at Galveston (US)
Corresponding author
Peck, Jessica L.
Venue
Journal of Nursing Education
Publisher
SLACK, Inc.
Published
2014-03
Volume
53
Issue
3
Pages
164-169
ISSN
  • 0148-4834 (ISSN-L)
  • 1938-2421
OpenAlex
W2064880775
Cited by
142
References
25
Citations by year
2026: 1 · 2025: 5 · 2024: 8 · 2023: 12 · 2022: 17 · 2021: 14 · 2020: 29 · 2019: 19 · 2018: 14 · 2017: 10 · 2016: 5 · 2015: 4 · 2014: 4
FWCI
9.76
Type
journal article
Language
en
Open access
closed
Locations
  • Journal of Nursing Education (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Social Sciences › Health › Social Media in Health Education
  • Social Sciences › Education › Educational Technology in Learning
  • Social Sciences › Sociology and Political Science › Impact of Technology on Adolescents
Keywords
social media, nursing education, student privacy, privacy law, nursing faculty, standards of conduct, National Council of State Boards of Nursing, online learning
MeSH terms
Education, Nursing, Baccalaureate, Ethics, Nursing, Humans, Students, Nursing, Teaching, Nursing Education Research, Nursing Evaluation Research, Nursing Methodology Research, Privacy, Social Media, Meaningful Use

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