Evidence map›Paper›PMID 25099261›Full record

ArticleJMIR mHealth and uHealth2014

Investigating the use of smartphones for learning purposes by Australian dental students.

Andrea Rung, Frauke Warnke, Nikos Mattheos

Registry-linked trialAbstract read
In one paragraph

Article in JMIR mHealth and uHealth, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02723136 (Implementing a Smartphone Application to Optimise Academic Performance Among Medical Students), which is not on this map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
–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.

NCT02723136 nacompletednot on this mapstarted 2016, after this paper: background citation

Implementing a Smartphone Application to Optimise Academic Performance Among Medical Students: A Randomised Trial

TypeinterventionalSponsorUniversidad de ValparaisoRan2016 to 2016Enrolled80ConditionsEducation, MedicalArmsSmartphone Application
3 · Its place in the literature

Who cites it

20 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Developing a Mobile Application-based System for Enhancing Medical Skill Training.Journal of advances in medical education & professionalism · 2025
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Smartphone and medical application use among dentists in China.BMC medical informatics and decision making · 2020
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. The Most Common Smartphone Applications Used By Medical Students and Barriers of Using Them.Acta informatica medica : AIM : journal of the Society for Medical Informatics of Bosnia & Herzegovina : casopis Drustva za medicinsku informatiku BiH · 2017
    Article
  18. Smartphone, the New Learning Aid amongst Medical Students.Journal of clinical and diagnostic research : JCDR · 2017
    Article
  19. Article
  20. 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

3 authors.

Andrea RungGriffith University, School of Dentistry, Gold Coast, Australia.
Frauke Warnke
Nikos Mattheos

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMobile Internet devices and smartphones have at present a significant potential as learning tools and the development of educational interventions based on smartphones have attracted increasing attention.

objectiveThe objective of this study was to obtain a deeper insight in the nature of students' use of smartphones, as well as their attitudes towards educational use of mobile devices in order to design successful teaching interventions.

methodA questionnaire was designed, aiming to investigate the actual daily habitual use, as well as the attitudes of dental students towards smartphones for their university education purposes. The survey was used to collect data from 232 dental students.

resultsOf the 232 respondents, 204 (87.9%) owned a smartphone, and 191 (82.3%) had access to third generation (3G) mobile carriers. The most popular devices were the iPhone and Android. Most of the respondents had intermediate smartphone skills and used smartphones for a number of learning activities. Only 75/232 (32.3%) had specific educational applications installed, while 148/232 (63.7%) used smartphones to access to social media and found it valuable for their education (P<.05). Students accessing social media with their smartphones also showed significantly more advanced skills with smartphones than those who did not (P<.05). There was no significant association between age group, gender, origin, and smartphone skills. There was positive correlation between smartphone skills and students' attitudes toward improving access to learning material (r=.43, P<.05), helping to learn more independently (r=.44, P<.05), and use of smartphones by teaching staff (r=.45, P<.05).

conclusionThe results in this study suggest that students use smartphones and social media for their education even though this technology has not been formally included in the curriculum. This might present an opportunity for educators to design educational methods, activities, and material that are suitable for smartphones and allow students to use this technology, thereby accommodating students' current diverse learning approaches.

Indexed as

computer literacyhealth care educationmobile technologysmartphonesocial media

Identifiers

PMID25099261
PMCPMC4114424

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.