Measuring the quality of the ‘product’ is elemental in education, and most studies depend on observational data about student achievement factors, focusing overwhelmingly on quantitative data namely achievement scores, school data like attendance, facilities, expenditure class size etc. But there is little evidence of learner perceptions. 553 students from two different universities, who graduated from 3 high school types, were asked to respond to two fundamental questions to reflect on school and classroom level achievement factors. 2294 responses produced eight categories in question one, teacher factors being the most preferred (n=424), followed by individual factors (n=404) and then family factors (n=395). As for liking towards a course, 1362 responses were produced, most frequent one being teacher’s attitude (n=205). Results indicate student perspective of causes of achievement is somewhat different from those expressed in quantitative studies. Girls attributed more achievement to study habits, family support whereas boys attributed more to school and technology. More emphasis is needed on perceived achievement factors for a sound evaluation of effectiveness in school.

This paper explores the challenges faced by teachers and educators in the online classroom, especially in light of existing learner differences among students stemming from intelligence, socioeconomic status (SES), culture, gender, among other factors. The author examines the characteristics of the online classroom and looks at learner differences as significant factors impacting teacher responsibilities in the online setting. Several challenges common to facilitated online learning (FOL) and independent online learning (IOL) in the online classroom are examined and brought into perspective as the author applies social science theories such as self-efficacy, multiple intelligences theory, social distance theory and comparative homogeneity, pedagogy and classroom management theories in analyzing and addressing these challenges. The author makes several recommendations for online teachers and educators to address the problems and challenges that are present in the online classroom and then explores the implications for teaching and learning. Finally, the author espouses a need for research into the major issue under discussion.

A modern teaching method influences both direct and indirect learning achievement through the student's nonacademic factors. The researcher has an intention to examine the influences of new teaching methodology on mathematics achievement towards mathematics attitude, achievement motivation, and self-efficacy of students as mediating variables (n teacher = 117, n student = 2,205). The Multilevel Structural Equation Modeling revealed that attitude towards mathematics is the most important factor in explaining the academic achievement of individual students. It could be explained the variance with achievement motivation and perceived self-efficacy of students by 60.50%. As for the modern teaching method, there was a positive effect on achievement both directly and indirectly through all three factors with statistical significance and explained conjointly about the variance of student achievement in each classroom by 99.00%. This finding suggests the importance and direction of teaching design that covers the development of relevant factors as proposed in discussions and implementations.

The purpose of this study is to examine the fears of children who are 6-10 years old via drawings. In this study, phenomenology research design which is among qualitative research methods was used. The study group of the study consisted of 314 children aged between 6 and 10 years in three primary schools in Kirsehir city center in 2017-2018 academic year. The data obtained from the participants were analyzed by using the content analysis method. As a result of the research, the drawings were collected under 6 categories according to their similar characteristics .When the drawings obtained from the children were classified, it was seen that the most fear is related to the category of animals, while the least fear is related to the drawings of the category of fears related to medical. In addition, children preferred to use black, red, blue, yellow and green colors in their fear themed drawings.

Boarding schools are the common ‘out-of-home’ placements for adolescents, due to various historical, religiously orthodox, and traditional reasons and due to dysfunction within families. The purpose of the current study is to examine the relationship between a free versus an enforced decision to enroll in a boarding school in terms of personal well-being among emancipated graduates. Ninety alumni graduates (aged range 20-41) of out-of- home boarding schools in Israel were recruited during 2019. Participants were administered a self-report anonymous questionnaire consisting of the following measures: Free versus enforced decision to enroll in a boarding school, retrospective satisfaction with the boarding school, personal well-being and traumatic events. Results indicated that a free decision to enroll in an out-of-home boarding school was associated with current satisfaction with social relationships but not with quality of life. Additionally, the longer the period spent in a boarding school, the higher was the satisfaction from the period at school. Older graduates reported less satisfaction from school retrospectively. It was concluded that involving the adolescent in life changing decisions such as leaving home to a boarding school is likely to influence the person's well-being during and after emancipation.

Traditionally secondary studies on achievement on Programme for International Students Assessment (PISA) tests point to the significant impact of socioeconomic status and cultural backgrounds of families as well as the role of parental involvement, which in some cases has had a negative impact on achievement. For this article, a model of structural regression was tested, with structural modelling software. This model included the following factors: domestic and educational assets, parental support for students, parents’ perceptions about science, and science competencies among 214 high performing Mexican students on PISA tests in 2015. This resulted in a structural regression model with a goodness of fit, where science competencies were a positive significant variable, impacted by domestic and educational assets and parental involvement. An additional restricted model with four variables manifested as mediators, revealed that science competencies were predicted positively and significantly by domestic and educational assets, and by the manifest parental emotional support variable. Variables related to ownership of educational and cultural assets and resources, as well as parental support, particularly emotional parental support, have positive and significant impact on science competencies.

In all years of the Program for International Student Assessment (PISA) in primary mathematics education, Finland ranked in the lower places (44-61) in the dispersion index (the difference in scores between the 95th percentile and the 5th percentile), while Israel ranked in the upper places (1-3) in the same index. In the last PISA test, Israel ranked first (among the 78 participating countries) in grade differences, while Finland ranked 61st. The score for dispersion in Israel is 356 points, the highest among the countries and economic entities of the Organization for Economic Cooperation and Development (OECD). Based on these results, this comparative study between Israel and Finland was conducted to investigate the most important sociological factor in the Pisa test that influences most student achievements in mathematics in Finland and Israel, as well as the reasons for the differences in achievement between mathematics scores. The results of this study show that the differences in achievement in Israel are due to students' socio-economic status and the sector. In contrast, Finland's first sociological factor influencing student performance is socio-economic status. Nevertheless, it has a more negligible influence than in Israel. The second factor is student motivation.

The longitudinal changes of the average grades in four study semesters before and during the COVID-19 pandemic and distance learning are presented in the current study. 11th grade students’ (n=586; age M=17.38, SD=0.53) average grades were assessed, as well as their verbal and non-verbal reasoning abilities, and self-evaluations of problem-solving and self-management skills. The main findings of the study are: 1) There is a general pattern for the grades to increase during the four semesters from the autumn 2019 to the spring 2021; 2) The general tendency of changes in the grades is similar to various students’ groups based on their level of skills; 3) Higher level of students’ skills and cognitive abilities determined that students’ grades were higher and were more likely to increase during the “second wave of the pandemic”, compared to the middle and low-level skill groups. Results of the current study show a tendency for the average grades to increase during the pandemic and distance learning, however, there are group differences in the findings, relating the grade level to the individual level of students’ skills and abilities.

In today's World, data-driven methods are behind the determination of potential action plans in every area of life. These data-driven methods help individuals or policymakers to figure out the strengths and weaknesses on the subject that are worked on and to make a comparison to the best practices. Thus, actions can be taken immediately on the specific factors that have a huge impact on the topic investigated. In the educational area, countries are using the same approach to measure, monitor, and improve the quality of education by attending international studies. In this study, for both Turkish and Singaporean students, Artificial Neural Network (ANN) model is performed to predict the students' mathematics achievement and to identify factors that have a high impact on achievement using Trends in International Mathematics and Science Study (TIMSS) in 2019 with the data of 3,586 Turkish and 4,750 Singaporean students. The reason behind comparing the results of Turkey to Singapore is that Singapore is the best-performing country in terms of mathematics achievement in the TIMSS in 2019. The model results show that the top two crucial factors in both countries are the frequency of absenteeism from school, and students’ confidence in mathematics with the accuracy of 75%. In addition, relevant policy implications are given based on the importance level of significant factors.

A virtual-based disaster learning model was created to enhance understanding of COVID-19 disaster mitigation following the characteristics of elementary school students because the high number of child deaths brought on by the COVID-19 pandemic served as the driving force behind this research. The virtual-based disaster learning model had been deemed valid, but more study is required to ascertain its impact on primary school pupils' comprehension of COVID-19 disaster mitigation. This study sought to determine how the virtual disaster learning model affected elementary school pupils' understanding of COVID-19 disaster mitigation. This study was a quasi-experimental investigation. Non-equivalent control group design was the type of experimental design employed. The t-test showed that students who studied using virtual-based disaster learning models and those who used conventional learning had different average levels of understanding of COVID-19 disaster mitigation. According to the findings, primary school children who learned using virtual disaster learning models had higher scores than students who used conventional methods. This finding revealed that virtual disaster learning models could improve understanding of COVID-19 disaster mitigation. The results of this study's implications can be applied as a different approach to enhancing elementary school kids' comprehension of emergency planning for COVID-19.

Speech therapy uses a combination of approaches to assess speech and language, including analysis of spontaneous speech, use of standardized scales and assessment by the child’s parents and/or preschool teachers. In this paper, we present the Teddy Talk Test. Using a sample of sixteen children aged 4 to 5 years, we examined whether the test provided representative data on child language development. The parent questionnaire included information on the parents’ education, the parents’ native language, the child’s gender and the language the parents speak with their child. It was found that the Teddy Talk Test has the characteristics of screening tests for speech and language: it is time-efficient, it covers receptive and expressive language tasks, and it allows for rapid assessment of speech and language in large numbers of children. However, since the Teddy Talk Test has not yet been evaluated, we do not know its value regarding sensitivity, specificity and predictive validity.