Attitudes of sixth form female students towards the IT field

It is well-known that girls are not interested in computer science, information systems (IS) and software engineering studies. While the underlying reasons for this phenomenon have been studied in the US, Canada and Australia, only a few studies have been carried out in Europe and none in Scandinavia. To fill this gap in the research, we have analyzed the qualitative responses of 64 female sixth-form students concerning their attitudes towards studying information technology (IT), including Computer Science, Information Systems and Software engineering disciplines, and their views on IT as a profession. The results suggest that the IT field is seen in quite a positive light by the girls. Although many of the respondents do not consider IT to be their profession, they nevertheless have positive attitudes towards the field. According to the respondents, the field is growing and developing; it is respected, and seen as the field of future. Girls who want to become IT professionals see that the profession entails good employment possibilities and benefits and is respected. Some girls have negative views towards the field. These views illustrate the underlying reasons that these girls do not want to study IT. These girls did not perceive the field to be human-related (the work is only computer-related, according to the respondents). The need for skills in mathematics and physics are also listed as key reasons that some girls do not want to become IT students The results of the study suggest that there is a need to clarify among sixth form students the fact that IT jobs can be divided into computer science, information systems and software engineering, all of which require different competences

Observations on the parameter estimation problem of polymer electrolyte membrane fuel cell polarization curves

Abstract The optimal operation of fuel cells in changing environmental and variable load conditions requires mathematical modeling. The electrochemical behavior of polymer electrolyte membrane fuel cells (PEMFC) is commonly described with a semi‐empirical model requiring fuel cell specific model parameter values. A large number of different nature inspired, heuristic optimization methods have been proposed for this PEMFC parameter estimation problem. In this study, those studies are listed and critically reviewed. In particular, the aim is to elaborate the generalization ability of the results and discuss the fair comparison of the algorithms used for the parameter estimation of the polarization curve. The observations made in this review could further increase the quality of future contributions in this particular area, as well as applications of heuristic optimization methods in other related problems in fuel cell systems