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Importance of computer games in children’s life in the 21st century

Sochocka A., Bednarska M., Grabska-Gradzińska I.

Bio-Algorithms and Med-Systems

2016

Vol. 12, no. 4

199--202

This paper discusses the level of acceptation of different kinds of computer games and the changes of the attitude depending on the respondents’ knowledge and context of playing activity. The forms of entertainment for the young generations are the extremely popular computer games. The main goal of this paper is to show the attitude of people toward the game industry and the correlation between the ways of spending spare time and the level of acceptation of computer games. The study is based on a questionnaire in which respondents could declare their opinions in open questions. The study included more than 60 parents, both men and women. It is not surprising that, despite the popularity of computer games, they still arouse much controversy, particularly as they relate to children. Collected parents’ opinions give the picture of the most important pros and cons of playing games and the goals and circumstances of the game activity. When respondents have been informed about term “serious games”, they have changed their previous perceptions of computer games, and the acceptance to the children’s activity grows.

Child well being estimation as a multi-criteria decision problem

Adamus E., Klęsk P., Kołodziejczyk J., Korzeń M., Piegat A., Pluciński M.

Metody Informatyki Stosowanej

2011

nr 4

279-286

The aim of the article is to establish a list of capabilities with reference to children’s well being in Poland. This issue can be considered as a multicriterial classification problem where decision attributes classes are ordered due to the preference – criteria. We used a Dominance-based Rough Set Approach (DRSA) adapted to deal with missing values. Analysis was performed on data set collected in Zachodniopomorskie district as a result of survey conduction.

Rules induction on child well being

Adamus E., Klęsk P., Kołodziejczyk J., Korzeń M., Piegat A., Pluciński M.

Metody Informatyki Stosowanej

2010

nr 4 (24)

5-10

The aim of this research was to induct rules from a dataset obtained through a survey on child well-being that was performed in Poland Western Pomarania. For rule induction the exhaustive algorithm was used. The assessment of the strengths of found rules can be carried out and expressed in terms of: the conditional entropy and the Kullback-Leibler's number. Resulting rules are elements of a Pareto optimal set of derived rules, which are 'sensible' and 'interesting', Each rule combines thefunctionings (activities during childhood) and subjective evaluation of childhood.