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Journal of Computing in Higher Education

, Volume 31, Issue 2, pp 290–310 | Cite as

Evaluation of mobile learning for the clinical practicum in nursing education: application of the FRAME model

  • Kam Cheong Li
  • Linda Yin-king Lee
  • Suet-lai Wong
  • Ivy Sui-yu Yau
  • Billy Tak-ming WongEmail author
Article

Abstract

This paper presents an evaluation of mobile learning practice for the clinical practicum in nursing education. Nursing students need to practise nursing skills and follow specific clinical procedures in wards. In this study, they were provided with a mobile device for learning purposes, with mobile apps preinstalled for watching nursing videos and conducting clinical assessments. The evaluation was conducted following the Framework for the Rational Analysis of Mobile Education (FRAME). It included a questionnaire survey involving 265 nursing students and focus group interviews with 20 nursing students, the course coordinator of the clinical practicum and the instructional designer of the mobile apps. The participants shared their views, perceptions and experiences of mobile learning for studying nursing skills and conducting clinical assessment in the practicum context. The results showed the participants’ overall satisfaction with the mobile learning practice. They gave positive feedback on the use of the mobile apps in terms of enabling ubiquitous access to materials for situated learning in wards, and offering effective support for teachers to keep track of students’ learning progress. They also suggested areas for improvements, which emphasised the hardware capacity of devices, training on the use of apps and institutional support for the maintenance of devices. The results of factor analysis showed a composition of underlying factors different from that of the original FRAME model, which suggests contextual variation in the application of the model.

Keywords

Mobile learning Nursing education Learning motivation FRAME model Clinical practicum 

Notes

Acknowledgements

The work described in this paper was substantially supported by a grant from the Research Grants Council of the Hong Kong Special Administrative Region, China (UGC/FDS16/H10/14).

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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2019

Authors and Affiliations

  1. 1.The Open University of Hong KongHong KongChina

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