The present research aims to develop a theory on teacher–student interaction in the first year of primary school period. The present research was designed in grounded theory research which is one of the qualitative research traditions. A total of 18 primary school children started the first year of primary school. Data were collected through participant observation. Participant observation was launched after all necessary ethical permissions were taken from local education authority, the participant children, their teacher, and parents. Data were analyzed through constant comparison within three stages as open coding, axial coding, and selective coding. It was reported that the teacher and the first graders mutually developed strategies and there were several circumstances in the interaction that nested behavioral problems.
Background:The purpose of the present study is to develop the Moral Identity Test (MIT) which measures the moral identity of primary school children.Methods: The present study was designed as survey research and 516 primary school children were included in the sample. Data were analysed with corrected item-total correlation, exploratory factor analysis (EFA), internal consistency analysis, convergent validity analysis, and item response theory (IRT).Results: As a result of the data analysis, it was found that the MIT consists of one construct with ten items and its internal consistency coefficient is .93.Conclusions: It was concluded that the MIT can generate reliable and valid results in measuring the moral identity of primary school children whose ages vary between 7 and 11 years.
The purpose of the present research was to disclose the impact of school closures due COVID-19 on phonemic awareness of first-grade primary school students. The research sample comprised two cohorts. Cohort-1 consisted of 59 first-grade primary school students, while there were 193 students in Cohort-2. A total of 252 first-grade primary school students were recruited into the research sample. Data were collected with the Phonemic Awareness Test which was specifically designed for the research. Mediation analysis was used for data analysis. Results of the mediation analysis indicated that school closures due to COVID-19 led to significant decreases in phonemic awareness of first-grade primary school students. Results are also discussed along with student–teacher interactions.
The present research aimed to reveal how the COVID-19 pandemic influenced the mathematical reasoning of primary school students through mediation analysis. It was designed as ex post facto research. The research sample consisted of two cohorts. Cohort 1 included 415 primary school children who received face-to-face instruction by attending school for six months until COVID-19 emerged. Cohort 2 included 964 children who were taught curricular skills through distance education due to COVID-19 and school closures. In total, 1,379 primary school children were recruited into the research sample. Data were collected through a mathematical reasoning test by sending items from the instrument via Google Docs. The data were analysed with mediation analysis. Results demonstrated that the school closures due to the COVID-19 pandemic negatively influenced mathematical reasoning skills. Findings are discussed in the light of human interaction and Cattell’s intelligence theory.
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