The aim of this study is to collect and analyze children's comments on the pictures in children's story books. Four students studied in the first grade of a public primary school in Adana participated in the study. The research model is an example of phenomenology among qualitative research patterns. Focus group method was used as the data collection tool and observation method was used in a second exercise to support the first method. In focus group discussion "The City on the Wind" by Behic Ak, selected as the Book 1, was reviewed along with 4 participating students. In the second exercise, the book named "The Little Match Girl" selected as Book 2 was reviewed. Descriptive analysis and document analysis methods were used in the analysis of the research data. Students' comments on the pictures were collected under four different themes. "Description" among these themes was the most common in student expressions. The sentences for the themes of superficial interpretation, imaginative interpretation and critical understanding were less frequently used by students. Another finding of the study is the number of words students used to describe the picture. Students built short sentences not exceeding 2-3 words.  

Fictional characters give literary works a sense of reality. The actions of fictional characters play a crucial role in children's personality development. Young readers who lack critical reading skills are more likely to incorporate fictional characters into their lives because they have a hard time telling reality from fiction. Therefore, we should determine how children perceive fictional characters and teach them that they are imaginary figures. In this way, we can help them approach those characters' actions from an external and critical perspective. This study adopted a qualitative research design (case study) to investigate secondary school students' perceptions of fictional characters. The sample consisted of 45 secondary school students (28 female and 17 male). Data were collected through interviews and document review techniques. Data were analyzed using content analysis. Results showed that participants were more likely to be interested in and identify with characters with appealing personality traits. They had four types of approaches to fictional characters: (1) Wanting to change the storyline depending on what the fictional character goes through, (2) being influenced by them, (3) seeing them as role models, or (4) ignoring them. They wanted to change the storyline, especially when the villain got what he wanted or when the hero or the victim was unhappy, suggesting that they mostly took the protagonist's side (the good guy). While most participants attributed an ontological meaning to anthropomorphic characters, the symbolic meaning became of secondary importance. They were more interested in and identified more with characters with good living conditions and no death experiences.

This paper explores the potential of Eye Movement Miscue Analysis (EMMA) as a method to evaluate the complexity of picturebooks as reading material for primary school children. While EMMA has been applied to examine reading processes and strategies, this paper reports on the first study using EMMA to examine classroom picturebook complexity and its implications for developing readers. This research found EMMA method revealed specific nuances for understanding children’s reading practices in response to the complexity of the text at hand. Drawing together an internationally established reading teaching resource, the text complexity guide (Pinnell & Fountas, 2007) with miscue analysis reading assessment and eye movement technology, this research sought to gain insights into potential areas of complexity or challenge in picturebooks commonly available in Australian school libraries and classrooms. The method shared here examines text complexity ratings, children’s reading performance, and eye movements, as they read in natural classroom settings. Analysis of children’s reading miscues revealed that readers encountered challenges not anticipated through the use of the text complexity guide. Argued in this paper is that EMMA methodologies could extend understandings about text complexity beyond established frameworks and hence guide future assessments.