Evidence map›Paper›PMID 38720333›Full record

ArticleBMC medical education2024

Nursing faculty development program for digital teaching competence.

Soonyoung Shon, Hyunsook Shin, Dahae Rim, Hyejin Jeon

Abstract read
In one paragraph

Article in BMC medical education, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Soonyoung ShonDepartment of Nursing, Keimyung University, Daegu, Republic of Korea.
Hyunsook ShinCollege of Nursing Science, Kyung Hee University, 26 Kyungheedaero, Dongdaemungu, Seoul, 02447, Republic of Korea. hsshin@khu.ac.kr.
Dahae RimCollege of Nursing Science, Kyung Hee University, 26 Kyungheedaero, Dongdaemungu, Seoul, 02447, Republic of Korea.
Hyejin JeonCollege of Nursing Science, Kyung Hee University, 26 Kyungheedaero, Dongdaemungu, Seoul, 02447, Republic of Korea.

Funding

National Research Foundation of Korea 2016R1A2B4010413
6 · The paper itself

Abstract

backgroundNursing faculties need to develop digital competencies to effectively use information, communication, and technology-based nursing education. PURPOSE: The study aimed to develop and apply a theory-guided faculty development program on digital teaching competencies.

methodsA faculty development program was developed. Between March and April 2020, three five-hour web workshops participated by ninety-three faculty members were held. The program was assessed via mixed methods, combining satisfaction surveys post-workshop with content analysis of open-ended questionnaires to gauge participant evaluation of program content and learning experience.

resultsParticipants were highly satisfied with the program contents and their opportunity for integrating digital technology into education and improving faculty proficiency in digital teaching technology.

conclusionsThe program provides faculties with the self-confidence and essential skills to teach students using information, communication, and technology-based nursing education by enhancing their digital teaching competencies. It is critical to integrate both digital proficiency and nursing practice education.

Indexed as

Faculty, NursingStaff DevelopmentAdultEducation, NursingFemaleHumansMaleProfessional CompetenceProgram DevelopmentSurveys and QuestionnairesTeachingDigital teaching competenciesDistance educationNurse educationNursing practiceSimulation

Identifiers

PMID38720333
PMCPMC11080220

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.