The purpose of the study is to identify how the coverage of topics of the Code of Conduct for Research in Education in Ukraine is consistent with the ones from the United States of America (USA) and Europe. Furthermore, the study attempts to explore coherences in the documents so that these could be reviewed and addressed. The study used the methodology for mixed-methods systematic reviews to respond to the first research question and the survey research methodology to respond to the second one. It was identified that the research integrity and ethics terms were not sufficiently covered by the Codes of education and research organisations from Ukraine compared to the Codes from the USA and European Union (EU). It was found that there was a shift from emphasising the role of the researcher (contributor) in the Codes from the USA and EU to drawing the importance of regulatory and legal instruments for the maintenance of research integrity and ethics in Ukraine. The prescriptive wording in the Codes of professional organisations in the USA and EU was given much greater attention than in the Codes of educational and research institutions in Ukraine. The Codes of the educational and research institutions from Ukraine were considered to be tentatively consistent with the relevant ones from the database from the USA, and Europe.

The main goal of this study is to examine the differences between school-aged children with different chronotypes who are only children or have a sibling in the household, regarding their sleeping habits and performance in intelligence tasks. The main measures used were Chronotype Questionnaire for Children and Raven's Coloured Progressive Matrices. This study analysed 46 Portuguese children (Mean=8.67; SD=1.034, range 7-11 years of age) without sleep or educational/psychological disturbances, attending the first grade. The differences regarding chronotype and whether they were only children or not were examined. Then the performance of the sample in the Raven’s Progressive Matrices tests was evaluated.  The Mann-Whitney U test showed that ‘only’ children had higher fluid intelligence scores only in the afternoon. The chronotype did not differentiate this population and it is concluded that the type of household is the main moderator: Not being an only child was, in general, the best predictor in the test. Results suggest that different sleeping times (e.g., bedtime and wake-up time) and different chronotypes did not have different effects. However, having siblings proved to be an advantage regarding the child’s performance. Re-education of sleeping practices, especially examining the influence of co-sleeping in families, is essential for the intellectual development of children.

The COVID-19 outbreak in the Philippines forced schools to close. Many Filipino students were stranded in their dormitories and boarding houses due to government-imposed lockdowns. As the study's impetus, the researchers explored the phenomenon of stranded students during a pandemic. A transcendental phenomenological inquiry was conducted in Northern Mindanao, Philippines, to disclose the experiences of six stranded students. Stranded students' lifeworld throughout the lockdown was documented through phenomenological interviews. The phenomenological reduction technique was used to transcribe and analyze the data. Provisional codes were used to classify critical statements into themes for the initial analysis of the interview data. The research revealed the themes of (a) groping in the dark, (b) journeying towards the light, and (c) welcoming the breaking dawn. The various stages of reality in the life of the stranded students are shown in these topics. They relate the story of how their confinement experience taught them to be resilient, which covers resilience as a process. The paper discusses numerous pedagogical implications of the phenomenon.

The research emphasized three main objectives: 1) to analyze the propensity score of the research effect size for developing students’ creative thinking, 2) to study the attribute variables effect of the research on the effect size of creative thinking before and after the propensity score adjustments, and 3) to compare the effect size between instructional methods to develop creative thinking before and after the propensity score adjustments. The data were obtained from 400 research studies on creative thinking development in Thailand. The research instrument for data collection included the research attribute record form. They were analyzed by calculating effect size, propensity score matching analysis, and fixed effect and random effect meta-regression analysis. The results indicated two research groups with propensity scores that develop students' creative thinking: the low effect size group of 256 research ( =1.345) and the high effect size group of 144 research ( =7.284) using 26 attribute variables of creative thinking development research. Moreover, the instructional methods with the creative activities had the highest effect size ( =3.88). After the analysis of propensity score matching, the effect of 12 research attribute variables was eliminated as follows: manufacturing research institutions, year of publication, educational institutions, curriculum, creative thinking indicators, instructional materials, types of research, research objectives, research groups, research protocols, statistics used in research, quality of research and it was found that integrated instructional model of knowledge using media and technology had the highest effect size ( =0.41).

Teacher agency is a set of actions that a teacher takes beyond what is generally expected of them. The concept merits examination, as agency can bolster teachers’ ability to set and achieve professional development goals. To better understand how to study, and use, this relatively new concept in the academic literature, a systematic review of 164 publications written by researchers from 41 countries was conducted in order to document the research approaches used to study teacher agency, the participants whose agency was documented in a school setting, the methodology used and the type of analysis performed. The study found that teacher agency has been documented qualitatively in the form of case studies comprising interviews of a small number of individuals, with no consensus in terms of interview protocol. In most cases, the results are analyzed using emergent coding. The way that agency is documented varies but is most often underpinned by an ecological approach.

Guided by the analytical framework in the current literature, whereby ten nature of science (NOS) aspects were targeted, this study aims at assessing the extent to which the three physics textbooks for Cycle 4 of Fundamental Schools in Burundi represent the NOS aspects. The quantitative embedded research design which combines the qualitative and quantitative to both the representations of text and images were applied to collect and analyses data. Three physics textbooks used in this study as textbooks I, II and III (grade 7 textbook, grade 8 textbook and grade 9 textbook) were purposively selected. 65 physics lessons were analyzed in three steps including exploring representations of NOS aspects, representations of NOS teaching approaches and accuracy and completeness of NOS aspects. Data were collected using a guide document analysis and a rubric of NOS scoring and were analysed descriptively. The findings found a considerable deficit of NOS aspects in the physics textbooks. The findings also revealed the critical situation where the few lessons poorly represent the NOS aspects and the majority of them do not include the aspects of NOS. Furthermore, this study suggests the in-charge of quality assurance to evaluate and deliberate on the accuracy and completeness of physics textbooks for Cycle 4 of Fundamental Education in Burundi.

This study aims to analyze the characteristics of social skills, digital literacy disposition, and mathematical literacy abilities of 49 students; to analyze the theoretical model of the direct and indirect influence of digital literacy skills and social skills on mathematical literacy skills. The number of samples is 49 of the 12th-grade students at state high school #1 Southern Konawe. The research instruments consisted of a mathematical literacy ability test, a social skills questionnaire, and a digital literacy disposition questionnaire. The data were analyzed by descriptive statistics and structural equational models (SEM) with a Smart PLS 3.0 application. The results showed that students' mathematical literacy skills tended to be better on content and context indicators but they are weak on competency and process indicators. Students' social skills tend to be better on indicators of peer-relationship skills and self-management skills, but are also weak on indicators of academic skills and compliance skills. Mastery of the digital literacy disposition tends to be better on the internet searching, content evaluation, and information sharing indicators but is still weak on knowledge assembly. Furthermore, it was found that (a) social skills have a direct effect on digital literacy disposition but do not directly affect mathematical literacy skills; (b) the digital literacy disposition has a direct effect on mathematical literacy skills.

Several supporting factors are alleged to influence the performance of teachers. This study aimed to describe the relationship between each research variable and teachers’ performance, either directly or indirectly. This research was conducted through surveys and quantitative approaches that included correlational research types. The research subjects were Hindu religion teachers in 119 state junior high schools, consisting of 517 teachers. The sample of 256 people was determined using the Krejcie and Morgan formula and the Warwick and Lininger formula. The samples from each sub-population were determined with the proportional random sampling technique, and the personal sampling of sample members was determined with the use of lottery techniques. The data were collected using a five-point Likert scale model questionnaire with high validity and reliability. The data analysis technique used in this study was structural equation modelling. The conceptual model met the standards of comprehensive goodness-of-fit requirements. The results of the study show that the average levels of Hindu principals’ leadership, the emotional intelligence of teachers, supervision of school superintendents, school culture, teachers’ work motivation, and the performance of Hindu religion teachers are in the high category. In addition, the hypothesis testing results show there is a significant direct and indirect relationship between the variables in the state junior high school.

The purpose of this study was to explore the factor structure of a measurement and to evaluate its internal reliability. Overall, 525 math-majoring elementary school teachers volunteered to participate in this study by answering online survey questions via Google Form. These samples were randomly partitioned into 262 participants for exploratory factor analysis (EFA) and 263 observations for confirmatory factor analysis (CFA). The EFA tended to largely prefer a four-factor solution, which was proven to explain over 68% of the variation in the data. Awareness, effectiveness, engagement, and opportunity were the provisional labels for these hidden variables. The CFA results verified and validated the four-factor model, with all test measures exceeding the specified thresholds, suggesting an acceptable and excellent fit. The results of this study, on the one hand, provide four key areas for realistic math teachers, educators, and policymakers to discuss as opposed to examining individual indicators, and on the other hand, they serve as a foundation for interested researchers to conduct additional analyses, such as multivariate linear regression or complement for cluster analysis.

Crises like COVID-19 affect organizations as well as employees' well-being. Leaders, in this sense, have a critical role to play in reducing the challenges and promoting a healthy workplace. With employees feeling overwhelmed and anxious to cope, leaders should provide the appropriate support and guidance. This quantitative study examined the relationship between different leadership styles, which are participative, directive, supportive, and Laissez-Faire, and teachers' well-being in the United Arab Emirates (UAE). The study adds insights into the UAE's public school context, where 101 teachers were surveyed following a snowball sampling technique. Findings revealed that Laissez-Faire and directive styles were the most dominant among the four leadership styles examined. In terms of the relationships between leadership styles and well-being, correlation and regression analyses were done through SPSS, and findings from the Generalized Linear Model analysis revealed that although the four styles correlated positively with well-being, the participative leadership style had the most decisive influence. The results showed that none of the demographics had any significant influence on well-being, and no differences in well-being in terms of demographics were reported.

Teachers play an important role in helping students improve their learning and achieve the intended curriculum outcomes. Therefore, it is essential to look at teachers’ knowledge, understanding, and perceptions of any educational innovation. The present study aims to examine knowledge, understanding and perceptions of Rwandan science teachers with respect to the competence-based curriculum (CBC) introduced in 2015. The 2015 curriculum framework included features like the rationale for its adoption, the concept of competence, different competences to be developed by learners upon CBC implementation, principles guiding CBC implementation, and cross-cutting issues to be addressed by CBC implementation. This research is a multiple case study that adopted a qualitative approach with interpretivism paradigm. Twelve science teachers from three secondary schools, selected based on their differing teaching experience, participated in the study. Data were collected through semi-structured face-to-face interviews. The data were transcribed and qualitatively analyzed using content analysis. The findings revealed some satisfactory knowledge, understanding and perceptions of science teachers. Further, knowledge and understanding gaps as well as negative perceptions of CBC were identified. Towards the effective and efficient implementation of the CBC, this research suggests appropriate training and establishment of the school community of practices for improving teachers’ experience of the CBC.

Diagnostic tests are generally two or three-tier and based on classical test theory. In this research, the Four-Tier Diagnostic Test (FTDT) was developed based on modern test theory to determine understanding of physics levels: scientific conception (SC), lack of knowledge (LK), misconception (MSC), false negatives (FN), and false positives (FP). The goals of the FTDT are to (a) find FTDT constructs, (b) test the quality of the FTDT, and (c) describe students' conceptual understanding of physics. The development process was conducted in the planning, testing, and measurement phases. The FTDT consists of four-layer multiple-choice with 100 items tested on 700 high school students in Yogyakarta. According to the partial credit models (PCM), the student's responses are in the form of eight categories of polytomous data. The results of the study show that (a) FTDT is built on the aspects of translation, interpretation, extrapolation, and explanation, with each aspect consisting of 25 items with five anchor items; (b) FTDT is valid with an Aiken's V value in the range of 0.85-0.94, and the items fit PCM with Infit Mean Square (INFIT MNSQ) of 0.77-1.30, item difficulty index of 0.12-0.38, and the reliability coefficient of Cronbach's alpha FTDT is 0.9; (c) the percentage of conceptual understanding of physics from large to small is LK type 2 (LK2), FP, LK type 1 (LK1), FN, LK type 3 (LK3), SC, LK type 4 (LK4), and MSC. The percentage sequence of MSC based on the successive material is momentum, Newton's law, particle dynamics, harmonic motion, work, and energy. In addition, failure to understand the concept sequentially is due to Newton's law, particle dynamics, work and energy, momentum, and harmonic motion.

Recent educational policy initiatives in Ireland have focused on improving outcomes in reading and mathematics among students, particularly those experiencing educational disadvantage. However, science achievement in Irish primary schools has received much less research attention, especially in the context of educational disadvantage. This article examines science achievement and its relationship to school compositional effects in primary schools at the national level, including school-average indicators of the school context, as well as examining factors associated with science achievement in three distinct categories of schools (those with high, moderate, or minor levels of educational disadvantage). The data are drawn from the Fourth grade Trends in International Mathematics and Science Study (TIMSS) 2015 database for Ireland. Multilevel analyses were implemented in a stepwise manner. Findings suggest the relevance of school contexts with regard to science achievement. Before including school-level contextual variables, students from ‘minor disadvantaged’ schools achieved significantly higher science scores than students from schools with ‘moderate’ or ‘high’ levels of disadvantaged. However, this difference disappears after controlling for predictors at the school level. The findings highlight the importance of the home environment, including early numeracy activities and skills before children start school. Results are discussed with regard to educational policy and educational practice in Ireland.

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.

The various intuitive reasoning types in many cases comprise the core of students’ misconceptions about concepts, procedures and phenomena that pertain to natural sciences. Some researchers support the existence of a relatively closer connection between the right hemisphere and intuitive thought, mainly due to a notably closer relation of individual intuitive cognitive processes with specific right hemisphere regions. It has been suggested that individuals show a different preference in making use of each hemisphere’s cognitive capacity, a tendency which has been termed Hemisphericity or Hemisphere Preference. The purpose of the present study was to examine the association between hemispheric preference and students’ misconceptions. A correlational explanatory research approach was implemented involving 100 seventh grade students from a public secondary school. Participants completed a hemispheric preference test and a misconceptions documentation tool. The results revealed that there wasn’t any differentiation in the mean score of misconceptions among the students with right hemispheric dominance and those with left hemispheric dominance. These findings imply a number of things: (a) the potential types of intuitive processes, that might be activated by the students, in interpreting the biology procedures and phenomena and their total resultant effect on students’ answers, probably do not have any deep connection with the right hemisphere; (b) it is also possible that students might use reflective and analytic thought more frequently than we would have expected.

The purpose of the current study was to analyze social media content related to physical education. In the context of summative qualitative content analysis, I took advantage of big data analytics to access the data. Machine learning of this big data mapped the large content volume from four major social media platforms. The data was collected by extracting social media posts from January to December 2020. The big data analysis process sorted, categorized, and classified the enormous data into several preeminent topics regarding PE. These computerized analyzes were used to identify themes that were further analyzed using qualitative methods. The results revealed two overarching themes. These themes were (a) PE representation as a school subject and (b) the images of PE teachers on social media. The second theme consisted of three subthemes: masculine traits of PE teachers and negative and positive sentiments toward these teachers. I concluded that key aspects of PE discourse in virtually mediated reality share topical characteristics with what people have previously socially constructed. However, the themes offer a new addition to the literature in that the analysis offers a new perspective on ongoing debates about the social construction of PE through enormous large data sets.

This study aimed to evaluate the effect of online social support (OSS) on the psychological well-being (PWB) of caregivers of children with autism spectrum disorder (ASD). The role of gender as a moderator variable in the relationship between online social support and psychological well-being was also investigated. A quantitative research design was used to collect data from 154 caregivers of children with ASD in Indonesia using PWB and OSS questionnaires adapted into Bahasa Indonesia. Data were analyzed using SMART PLS 3.0. Online social support influences the psychological well-being of caregivers of children with ASD. At the dimension level, several OSS dimensions also affect PWB. The effect of online social support on psychological well-being is the same in both the male and female groups. This means that male and female groups benefit equally from online social support. Future research should combine the study with a qualitative method to gather data from caregivers on how OSS affects their PWB in order to gain a holistic perspective. It could be a suggestion to policymakers to provide beneficial online social media for caregivers of children with ASD.

The teaching of experimental sciences in high school contributes to the development of a set of cognitive, methodological, and psychomotor skills among learners. Combining, both theoretical and practical aspects, it involves an important use of scientific experiments in the process of knowledge construction. With the help of appropriate tools that include interviews and observation of teaching practices, data related to the constraints encountered in the implementation of scientific experiments in the high school life sciences classroom was collected as well as proposals of solutions to overcome these constraints. The results show the existence of a set of constraints that oppose the realization of experiments in class. These constraints are not only limited to insufficient or deficient external factors but also to the teachers' relationship to knowledge which influences their choice of teaching activities within a predefined curriculum.

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.

Motivation is essential in shaping how much a student is interested in learning and also affects how much students will learn from a learning activity or how much students' ability to capture the information presented by the teacher. Well-motivated students will produce a vibrant learning atmosphere and a better success rate. This research aims to determine whether the motivating active learning in physical education (MALP) model can help kids in elementary school develop their capacity for critical thinking. The design used is experimental. The research subjects were grade 6 elementary school students representing five sub-districts in the Tasikmalaya district. One elementary school was taken from each sub-district through a probability sampling technique using the cluster random sampling approach. The total sample taken was 137 people. The results of the study prove that applying the MALP model can greatly influence improving the critical thinking skills of elementary school students. The result of the study is proven by the significance test using the paired sample t-test; the results obtained from sig. (2-tailed) of .001< .05. So applying motivating active learning in the physical education model influences increasing elementary school students’ critical thinking skills.