There was also a positive correlation between years of computer experience and the construct KM (r=.22, P<0.05).
Computer exposure elsewhere, for example at home, indicated more years of computer experience and longer duration per session, but less frequency in computer use per week than was reported for at school computer use.
In the subgroup of HF nurses there was a significant positive correlation between years of using the internet (r=.33, P<0.01), years of using email (r=.23, P<0.05), and years of computer experience (r=.29, P<0.01) in relation to R&T.
In terms of computer experience, most (71%, 5/7) had computers and all said they had used the internet.
This study examines the influence of eight types of computer experiences on computer self-efficacy.
Factors included years of teaching experience, years of computer use, principal support, colleague support, technology competency, attitudes and beliefs toward using technology, and lack of time.
Among the investigated factors, being female, non-engineering academic concentration, years of computer use, daily computer use more than 4 h and experiencing visual discomfort during computer use were the significant risk factors.
It took 84.8 years of computer time.
Despite 18 years of experience hawking computer mice, keyboards, joysticks and other accessories, Microsoft has experienced uneven peripheral sales, even though it shares the market lead with the big mousemaker Logitech.
In the 2-tailed Pearson correlation tests of the total group, we found no significant correlation between age, gender, years of work experience, general computer experience or experience with operating systems, computer programs, and email/internet within the three constructs (B&T, R&T and KM).
Combined, the team has over 25 years of experience in computer vision research.
