Full-text resources of CEJSH and other databases are now available in the new Library of Science.
Visit https://bibliotekanauki.pl

Results found: 3

first rewind previous Page / 1 next fast forward last

Search results

Search:
in the keywords:  differentiating factors
help Sort By:

help Limit search:
first rewind previous Page / 1 next fast forward last
EN
The article presents a fragment of diagnostic-correlational studies of a quantitative-qualitative nature, establishing pupils’ information competence in the use of ICT in the context of technological trends and accompanying civilisational changes. The research seeks answers to the question why children and teenagers use ICT tools in everyday practice. A diagnostic survey method (questionnaire and interview) and statistical methods were used. 2510 pupils were surveyed, and it was established that: 1) pupils’ numerous indications, obtained through open-ended questions, allowed for distinguishing eight important categories - reasons for using new technologies; 2) main reasons for using ICT lie in activities oriented at handling information (18.5%) and activities involving communication, also through social media (16.7%); 3) calculations of differentiating factors revealed statistical differences in three cases, namely between the opinion on reasons for using ICT by children and teenagers and: gender, stage of education, place of education. The treatment of children and teenagers as important stakeholders of the educational process helps improve it through selection of methods and tools adequate to pupils’ needs, expectations and cognitive preferences.
EN
The article presents a part of diagnostic and correlative research of quantitative and qualitative character, locating pupils’ information skills in the use of ICT in the context of new technology trends and the accompanying civilizational changes. The considered issues seek answers to the question on the sources of knowledge and skills acquired by pupils in the field of using new technologies. A diagnostic survey (questionnaire and interview) and statistical methods were used. 2,510 pupils were examined and it was established that: 1) numerous pupils’ indications, obtained through an open question, allowed for distinguishing as many as 14 categories of sources of information; 2) The pupils mainly locate the sources of ICT knowledge and skills in informal education (61.9%), by the same token diminishing the weight of organised, formal education and the influence of didactic institutions (38.1%); 3) the calculation of differentiating factors revealed statistically significant differences between the sources of ICT knowledge and skills in relation to gender, stage of learning, and place of learning.
PL
Prezentowane w artykule wyniki są pierwszym polskim badaniem startupów, które uchodzą za źródło innowacji o coraz większym znaczeniu w gospodarce kraju. Efektywne wsparcie tej grupy ze strony państwa wymaga pogłębionej wiedzy na temat najważniejszych cech, które ją charakteryzują, na przykład lokalizacji, stosowanych form prawnych, zatrudnienia i jego form, źródeł zasobów finansowych i innych, skłonności do eksportu czy źródeł innowacyjności. Dlatego celem przeprowadzonych badań było zidentyfikowanie oraz dokonanie charakterystyki populacji podmiotów gospodarczych uznanych według zastosowanych kryteriów za polskie startupy. W tym celu stworzono bazę tych podmiotów, autorską ankietę badawczą oraz przeprowadzono ogólnopolskie badanie ankietowe we współpracy z fundacją Startup Poland. Następnie wykonano analizę segmentacyjną prowadzącą do wydzielenia wyróżniających się grup klasyfikacyjnych oraz zidentyfikowania istotnych cech w każdej z grup. Przedstawione wyniki badań stanowią inaugurację regularnych badań w tym zakresie.
EN
The results presented in the article are the first Polish analysis of startups, which are considered as a source of innovation and which are gaining in importance in the country’s economy. In order for the country to efficiently support this group, more insight into the most important features characterising it, for instance location, used legal forms, employment and its forms, sources of financing and other resources, propensity to export or sources of innovation must be gained. Thus, the conducted study was aimed at identifying and characterising the population of economic entities considered as Polish startups according to applied criteria. In order to do so, a database of those entities was created, an original research questionnaire was prepared and a nationwide survey was conducted in collaboration with the Startup Poland foundation. Subsequently, a segmentation analysis was performed in order to isolate conspicuous classification groups and to identify important features in each group. The presented research results constitute the beginning of regular analyses in that scope.
first rewind previous Page / 1 next fast forward last
JavaScript is turned off in your web browser. Turn it on to take full advantage of this site, then refresh the page.