Artificial Intelligence Supported Analysis of Children's Pictures: Preschool Period Applications

The aim of this study is to investigate the role of artificial intelligence tools in analyzing preschool children's drawings and to determine whether they are effective in analyzing children's drawings. The study group of the research consists of 4 preschool students in the age group of 5 within the scope of Melik Ahmet Gazi Primary School in Tokat province. The research is based on a qualitative research method called multiple case study and documents and semi-structured interview forms were used to collect data. The study group, which was determined by simple random sampling method, was administered the people, family, tree and house drawing tests and each child drew 4 pictures from each test. The data were analyzed and compared in detail by content analysis method using MaxQDA analysis program. The results show that both methods have strengths and weaknesses. While researchers evaluate in detail the first impression, developmental appropriateness and positioning of the drawings, AI has the advantages of speed and objectivity. AI is effective in identifying specific patterns and structures and excels in fast and accurate processing of objective data. Researchers are more successful with contextual and qualitative data.