An Investigation of Factors Influencing Healthcare Workers' Use and Acceptance of E-Learning in Post-School Healthcare Education

The objective of the study presented here was to perform an empirical investigation on factors affecting healthcare workers acceptance and utilisation of e-learning in post-school healthcare education. E-learning benefits are realised when key features of e-learning are not only applied, but deemed useful, compatible with the learning process and supportive in order to reach the overall goals of the learning process. We conducted a survey of 14 state-enrolled nurses and skilled-workers within the field of healthcare in Norway. The results show that perceived compatibility and subjective norm explain system usage of the e-learning tool amongst the students. We found that the fact that the students considered the e-learning to be compatible with the course in question had a positive effect on e-learning tool usage. We also found support for factors such as facilitating conditions and ease of use leads to the e-learning tool being considered useful.

[1]  Bill C. Hardgrave,et al.  Toward an information systems development acceptance model: the case of object-oriented systems development , 2003, IEEE Trans. Engineering Management.

[2]  Panagiotis D. Bamidis,et al.  A Proposed Framework for Accreditation of Online Continuing Medical Education , 2007, Twentieth IEEE International Symposium on Computer-Based Medical Systems (CBMS'07).

[3]  Izak Benbasat,et al.  Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation , 1991, Inf. Syst. Res..

[4]  M. McCord,et al.  Technology Acceptance Model , 2007 .

[5]  Fred D. Davis,et al.  User Acceptance of Computer Technology: A Comparison of Two Theoretical Models , 1989 .

[6]  Blake Ives,et al.  Web-based Virtual Learning Environments: a Research Framework and a Preliminary Assessment of Effectiveness in Basic It Skills Training Author(s): Piccoli Et Al./web-based Virtual Learning Environments Web-based Virtual Learning Environments: a Research Framework and a Preliminary Assessment of Effe , 2022 .

[7]  Fred D. Davis,et al.  Explaining Software Developer Acceptance of Methodologies: A Comparison of Five Theoretical Models , 2002, IEEE Trans. Software Eng..

[8]  Maryam Alavi,et al.  Computer-Mediated Collaborative Learning: An Empirical Evaluation , 1994, MIS Q..

[9]  Raafat George Saadé,et al.  Viability of the "Technology Acceptance Model" in Multimedia Learning Environments: A Comparative Study , 2007 .

[10]  Matthew K. O. Lee,et al.  Acceptance of Internet-based learning medium: the role of extrinsic and intrinsic motivation , 2005, Inf. Manag..

[11]  I. Ajzen,et al.  Belief, Attitude, Intention, and Behavior: An Introduction to Theory and Research , 1977 .

[12]  Fred D. Davis.  Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology , 1989, MIS Q..

[13]  E. Rogers,et al.  Diffusion of innovations , 1964, Encyclopedia of Sport Management.

[14]  Jane M. Howell,et al.  Personal Computing: Toward a Conceptual Model of Utilization , 1991, MIS Q..

[15]  Tore Dybå,et al.  An empirical investigation on factors affecting software developer acceptance and utilization of electronic process guides , 2004 .

[16]  Chao-Min Chiu,et al.  Understanding e-learning continuance intention: An extension of the Technology Acceptance Model , 2006, Int. J. Hum. Comput. Stud..

[17]  Peter A. Todd,et al.  Understanding Information Technology Usage: A Test of Competing Models , 1995, Inf. Syst. Res..

[18]  Starr Roxanne Hiltz,et al.  Teaching in a Virtual Classroom , 1995 .

[19]  Heidi S Chumley-Jones,et al.  Web‐based Learning: Sound Educational Method or Hype? A Review of the Evaluation Literature , 2002, Academic medicine : journal of the Association of American Medical Colleges.

[20]  E. Rogers.  Diffusion of Innovations, Fourth Edition , 1982 .