Uncovering selfish behavior in kindergarten children using computing and entertainment technologies

Abstract

       Cognitive computing is an advanced concept that represents a paradigm shift in human-technology interaction. This computer model has proven its ability to assist humans in analysis and inference, enabling them to handle large digital data in all fields. The current study aimed to identify the role of cognitive computing in analyzing the factors affecting selfish behavior in children. The study sample consisted of (100) boys and girls aged (4-6) years from Baghdad Governorate (Karkh-Rusafa), who were answered by their teachers. The researchers confirmed the existence of a problem through questions posed to kindergarten teachers via an electronic questionnaire. The research tools consisted of a set of questions distributed to the research sample. After analyzing the data using cognitive computing techniques, it was found that the use of cognitive computing techniques was successful in diagnosing the most common cases of selfish behavior in kindergarten children.

In light of the results, the researchers made a number of recommendations, including:

1- Conducting training courses on how to employ cognitive computing techniques for other behavioral topics.

2- Cooperation between public and private kindergartens and parents in dealing with and addressing children's selfish behavior.

The researchers also made a number of proposals, including:

1- Conducting a comparison between the results of cognitive computing and the results of traditional observation in detecting selfish behavior among kindergarten children.

2- Conducting a study on the use of cognitive computing techniques to improve children's social skills.