Literature DB >> 17706842

A new hybrid model for exploring the adoption of online nursing courses.

Feng-Cheng Tung1, Su-Chao Chang.   

Abstract

With the advancement in educational technology and internet access in recent years, nursing academia is searching for ways to widen nurses' educational opportunities. The online nursing courses are drawing more attention as well. The online nursing courses are very important e-learning tools for nursing students. The research combines the innovation diffusion theory and technology acceptance model, and adds two research variables, perceived financial cost and computer self-efficacy to propose a new hybrid technology acceptance model to study nursing students' behavioral intentions to use the online nursing courses. Based on 267 questionnaires collected from six universities in Taiwan, the research finds that studies strongly support this new hybrid technology acceptance model in predicting nursing students' behavioral intentions to use the online nursing courses. This research finds that compatibility, perceived usefulness, perceived ease of use, perceived financial cost and computer self-efficacy are critical factors for nursing students' behavioral intentions to use the online nursing courses. By explaining nursing students' behavioral intentions from a user's perspective, the findings of this research help to develop more user friendly online nursing courses and also provide insight into the best way to promote new e-learning tools for nursing students. This research finds that compatibility is the most important research variable that affects the behavioral intention to use the online nursing courses.

Mesh:

Year:  2007        PMID: 17706842     DOI: 10.1016/j.nedt.2007.06.003

Source DB:  PubMed          Journal:  Nurse Educ Today        ISSN: 0260-6917            Impact factor:   3.442


  5 in total

1.  Evaluating a hybrid web-based basic genetics course for health professionals.

Authors:  Gwenyth R Wallen; Georgie Cusack; Suzan Parada; Claiborne Miller-Davis; Tannia Cartledge; Jan Yates
Journal:  Nurse Educ Today       Date:  2010-11-23       Impact factor: 3.442

2.  Determining patient preferences for remote monitoring.

Authors:  Nuri Basoglu; Tugrul U Daim; Umit Topacan
Journal:  J Med Syst       Date:  2010-10-13       Impact factor: 4.460

Review 3.  The technology acceptance model: its past and its future in health care.

Authors:  Richard J Holden; Ben-Tzion Karsh
Journal:  J Biomed Inform       Date:  2009-07-15       Impact factor: 6.317

4.  Improving Efficiency Using a Hybrid Approach: Revising an Intravenous/Blood Workshop in a Clinical Research Environment.

Authors:  Debra A Parchen; Sandra E Phelps; Eunice M Johnson; Cheryl A Fisher
Journal:  J Nurses Prof Dev       Date:  2016 May-Jun

5.  Exploring the Cost of eLearning in Health Professions Education: Scoping Review.

Authors:  Edward Meinert; Jessie Eerens; Christina Banks; Stephen Maloney; George Rivers; Dragan Ilic; Kieran Walsh; Azeem Majeed; Josip Car
Journal:  JMIR Med Educ       Date:  2021-03-11
  5 in total

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