Sentence examples for perception of computer from inspiring English sources

Girls have been further put off by dumbing down computing to IT literacy... They think that if they study computing they are going to become secretaries … We have never broken out of the "toys for the boys" perception of computer science.

Douglas Schmidtknecht of the RCFL National Programme Office says the amount of data being analysed is growing exponentially.While the public perception of computer crime is that it is carried out by malicious hackers and "script kiddies", the greatest threat is often from within.

In contrast, Hadi and Ali Partovi's Code.org is a much broader effort to change the perception of computer science in education nationally.

Our study results are different from the previous qualitative study performed by Ash et al. This study surveyed residents regarding their perception of computer orders using focus group and individual interviews.

The public's perception of computers was not positive either.

Daily, SB; Leonard, AE; Jörg, S; Babu, S; DSouza, N; Parmar, D; Gundersen, K; Isaac, J; Acker, S, Combating Perceptions of Computer Scientists: A Short-term Intervention, Proceedings of the 47th ACM Technical Symposium on Computing Science Education (2016), pp. 686-686 [abs].

For example, perceptions of computer science among adolescent females are often negative with some seeing it as a boring subject devoid of interesting applications, computing careers as menial, that it is a boy's domain, and that it is an individual or anti-social domain (e.g., Graham and Latulipe 2003, Varma and Lafever 2007, Wilson 2003).

About Linda Kekelis I know firsthand the powerful impact of sustained support on girls' perceptions of computer science and their options for the future.

The Oakland-based group mentors black boys and equips them with the skills they need to help shift perceptions of computer scientists and inspire future technologists.

At the end of each day, the notes were reviewed and discussed to identify and interpret the respondents' computer experiences and perceptions of computer applications.

(II) Computer vision, machine learning and human perception; development of computer vision systems and solving real world recognition tasks; modeling human perceptual and cognitive capabilities; object recognition, classification of whole scenes; visual recognition and classification of places and objects.