'Net Generation' medical students: technological experiences of pre-clinical and clinical students

Med Teach. 2008 Feb;30(1):10-6. doi: 10.1080/01421590701798737.

Abstract

Background: While institutions have been keen to integrate information and communication technologies into medical education, little is known about the technological experiences of the current cohort of so-called 'Net Generation' students.

Aims: This study investigated the technological experiences of medical students and determined whether there were differences between pre-clinical and clinical students.

Method: In 2006, 207 pre-clinical and 161 clinical students studying medicine at a major Australian university were surveyed. The questionnaire asked students about their access to, use of and skills with an array of technologies and technology-based tools.

Results: The results show that access to mobile phones, memory sticks, desktop computers, and broadband Internet connections was high while technologies such as PDAs were used in very low numbers. A factor analysis of students' use of 39 technology-based tools revealed nine clear activity types, including the 'standard' use of computers and mobile-phones, and the use of the Internet as a pastime activity, for podcasting and for accessing services. A comparison of pre-clinical and clinical students revealed a number of significant differences in terms of the frequency and skill with which these students use distinct technology-based tools.

Conclusions: The findings inform current technology-based teaching and learning activities and shed light on potential areas of educational technology development.

Publication types

  • Comparative Study
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Cell Phone / statistics & numerical data
  • Clinical Competence / statistics & numerical data*
  • Computers / statistics & numerical data
  • Diffusion of Innovation
  • Education, Medical, Undergraduate / statistics & numerical data*
  • Educational Technology / statistics & numerical data*
  • Female
  • Health Knowledge, Attitudes, Practice*
  • Humans
  • Internet / statistics & numerical data
  • Male
  • Students, Medical / statistics & numerical data*
  • Victoria