The effect of micro-learning on trauma care knowledge and learning satisfaction in nursing students.

The effect of micro-learning on trauma care knowledge and learning satisfaction in nursing students.

Haghighat, Hossein;Shiri, Maryam;Esmaeili Abdar, Mohammad;Taher Harikandee, Seyedeh Soghra;Tayebi, Zahra;
BMC medical education 2023 Vol. 23 pp. 622
33
haghighat2023thebmc

Abstract

Despite the fact that there are few formal trauma training courses for nurses, they play an important role in the care of trauma patients. This study aims to investigate the effect of micro-learning on the knowledge of managing trauma patients and learning satisfaction in nursing students.The convenience sampling method was used to enroll 30 final-year nursing students from Alborz University of Medical Sciences in this quasi experimental One-group pretest -posttest design. The educational content was created and repeated 4 times over the course of 36 days using a micro-learning approach through whiteboard animations, video casts, and live videos. MCQ scenario-based exam was used to assess participants' knowledge of trauma in three phases: pretest, immediately following the intervention, and one month after the end of the educational program. An e-learning satisfaction psychometric questionnaire was used to measure satisfaction.The mean knowledge score 1 month after the intervention did not differ significantly from the score immediately after the intervention (p = 1), but there was a significant relationship between the mean knowledge score immediately after the intervention and before that (p = 0.047). Demographic variables and knowledge of trauma management did not differ statistically significant. The majority of students were pleased with how the course was implemented (5.64).The use of micro-learning has a positive effect on the promotion and retention of knowledge of trauma care, as well as increasing nursing students' satisfaction. Micro-learning is proposed as a new educational approach that can be used as a complementary or as a stand-alone method to convey important educational concepts and increase learner satisfaction.

Access

Citation

ID: 277739
Ref Key: haghighat2023thebmc
Use this key to autocite in SciMatic or Thesis Manager

References

Blockchain Verification

Account:
NFT Contract Address:
0x95644003c57E6F55A65596E3D9Eac6813e3566dA
Article ID:
277739
Unique Identifier:
622
Network:
Scimatic Chain (ID: 481)
Loading...
Blockchain Readiness Checklist
Authors
Abstract
Journal Name
Year
Title
5/5
Creates 1,000,000 NFT tokens for this article
Token Features:
  • ERC-1155 Standard NFT
  • 1 Million Supply per Article
  • Transferable via MetaMask
  • Permanent Blockchain Record
Blockchain QR Code
Scan with Saymatik Web3.0 Wallet

Saymatik Web3.0 Wallet