By using multi-level modeling, this study explores the impact of students’ perception of the quality of the teacher-student relationship and family structure on student achievement after controlling for socioeconomic status (SES), school urbanicity, and school control. The data from 750 schools and 17,000 10th grade students were analyzed. Family structure and student’s perception of teacher-student relationship, and SES were student-level; school urbanicity and school control were school-level variables. The findings indicated that students, who had a positive perception about their relationship with their teachers, came from families including two biological parents, and had high SES and high math achievement. Students’ SES and attending public school in urban areas were found to be significantly related to students’ math achievement. The math score for public school students was lower than students from private and Catholic schools. The further research should have a design addressing the impact of these variables in a longitudinal term.

The aim of this study is to compare 2018 Science Course Curriculum (SCC), 2015 Trends in International Mathematics and Science Study (TIMSS) and 2018 High School Entrance Examination (HSE) in terms of content domains, cognitive domains and learning objectives. Qualitative research method, was used in this study. Data were analyzed using document review matrices to determine the similarities and differences between the objectives of SCC, TIMSS and HSE. SCC outcomes and HSE science questions were also classified according to TIMSS cognitive domains. Results show that the learning objectives of the fields of Physics, Biology and Earth Sciences of TIMSS are compatible with those of all grade levels of SCC and that the objectives of Chemistry are compatible with those of the seventh and eighth grades. Most of HSE questions are compatible with the objectives of SCC, however, the latest revision in the curriculum has introduced some eighth grade objectives to other grade levels. HSE science questions measure higher-level skills than TIMSS science questions. The subject domain of the “Organisms and Life” of SCC has the most learning objectives in the levels of “knowing” and “reasoning” while the subject domain of the “Physical Events” has the most learning objectives in the levels of “applying.” Besides, the seventh-, fifth- and eighth-graders have the most objectives in the levels of “knowing,” “applying,” and “reasoning,” respectively. It is hoped that the results will contribute the literature in improvement of science curricula and interpretation of national and international exams.

The purpose of this study is to evaluate the effects of Instructional Technologies and Material Design (ITMD) course on pre-service mathematics teachers’ attitudes, efficacy beliefs about using concrete materials, and their opinions regarding the material preparation process. A total of 73 pre-service teachers were participated in this study. The scale developed by Bakkaloglu was used to determine efficacy beliefs of pre-service teachers about using concrete materials, and the attitudes scale developed by Cetin, Bagceci, Kinay and Simsek was used to determine the attitudes towards ITMD course. A written form was also used to reveal the opinions of pre-service teachers regarding the material preparation process. The qualitative data collected from 16 pre-service teachers was analyzed with the MAXQDA. Using content analysis, codes and themes were created separately by the researchers and analyzed through several iterations. As a result of this study, positive changes were found in the attitudes and efficacy beliefs of pre-service teachers. The results obtained from the opinions of the pre-service teachers support this positive change. In other words, it is possible to argue that the attitudes of pre-service teachers towards the material development process changed positively with the positive change in the efficacy beliefs about preparing materials after taking the ITMD course.

Teacher-made tests (TMT) are the most used instruments for assessment and evaluation. This study investigates the cognitive requirements, test construction errors, and item types of TMTs. Content analysis technique is used in order to analyze and classify TMT items based on TIMSS-2019 assessment framework and based on criteria that is constructed to determine test construction errors. The data is consisted of 548 items in 30 exam papers of 18 mathematics teachers from 13 distinct schools. The distribution of TIMSS-2019 cognitive demands of all TMTs indicates that there is a strong emphasis on knowing or applying cognitive domains, with a total percentage of 93. Since 83% of all questions are of multiple choice and 17% are constructed-response type, teachers mostly prefer multiple choice item type. Findings also reveal that except face validity, there are errors concerning test constructions. Consequently, it is suggested that teachers should give more care on preparing items of higher cognitive levels, on tests of mixed type items, and on tests that involve lesser construction errors for more reliable tests. Finally, it is also suggested that measurement and evaluation specialists should be employed in each school or in each local Ministry of National Education Authority at least, in order to support teachers, but if this is not possible in a close time, there must be in-service training programs on measurement and evaluation for teachers to participate in.

In the current study, the problems posed by pre-service primary school teachers within the context of semi-structured problem formation were analyzed according to their type, cognitive structure, and content knowledge. A total of 134 pre-service primary school teachers attending a state university in Turkey participated in the current study designed in line with the case study design. The pre-service teachers were presented with a table and they were asked to establish a problem suitable for the elementary level using the data given in the table. The data were collected through the established problem statements and written explanations of the participants. The collected data were analyzed by using both content and descriptive analyses. The findings have revealed that the pre-service teachers less preferred real-life problems than routine type of problems and the problems at the level of reasoning than the problems at the levels of knowing and applying. Moreover, nearly half of the pre-service teachers erroneously expressed the grade level for which they established their problem. The results have shown that the pre-service teachers do not adequately use real-life problems and problems at the level of reasoning and that there are deficiencies in their mathematical content knowledge depending on their knowledge of the curriculum.

Positive attitude towards statistics is a desirable aspect in developing statistical thinking and understanding statistical concept. The attitude towards statistics instrument in previous study on rural school students lacked evidence in the validity analysis. Therefore, there is a need to provide a valid instrument that can assess rural secondary school students’ attitude toward statistics. For this purpose, this study was carried out to investigate the validity and reliability analysis of the Survey Attitude towards Statistics (SATS-36) instrument from a sample of rural secondary school students. The SATS-36 is a 7-point Likert type scale questionnaire, used to measure students’ attitude towards statistics. The SATS-36 instrument was distributed to 217 Tenth grade science stream students from a rural district in Sabah, Malaysia, which comprised of 66 (30.4%) boys and 151 (69.6%) girls. A second order Confirmatory Factor Analysis (CFA) was carried out to analyze the validity of the SATS-36 instrument as well as to confirm the 6-factor model of SATS-36. The reliability of SATS-36 instrument was assessed through the Cronbach’s Alpha value. Overall, the analysis showed that the SATS-36 instrument shows favorable indices for both its validity and reliability. Thus, it can be concluded that the SATS-36 was a valid and reliable instrument for measuring students’ attitude towards statistics among rural science stream secondary school students.

This study aimed to investigate whether Thai high school students’ perceived teacher support could enhance their reading ability through self-efficacy and sense of school belonging. The theoretical foundation of this study included the theory of social-motivational processes and social cognitive theory. Structural equation modeling was used for analysis and validation. The student questionnaire from the Programme for International Student Assessment (PISA) 2018 survey questions regarding teacher support, sense of school belonging, self-efficacy, and reading ability. The sample consisted of the data collected from the Thai students in the PISA2018 survey, with an effective sample size totaling 7968. The research results of the overall model showed that the perceived teacher support of Thai high school students’ had no direct effect on their reading ability, but their perceived teacher support had an indirect effect on reading ability through their self-efficacy and sense of school belonging. From the results can be seen that high school teachers in Thailand, in supporting and encouraging their students in learning, must simultaneously develop their perceived self-efficacy and sense of school belonging. Only thus can there be obvious help to their students’ reading ability.

The aim of this study is to identify whether high school students encounter any difficulties in mathematics and reveal the reasons for such difficulties. The participants of the study, which was a descriptive case study based on qualitative understanding, were a total of 164 students, including 85 students from Anatolian High Schools and 79 students from Science High Schools. Approximately 11% of the participants said they had no difficulties in math, whereas 99% of the students from Anatolian High Schools and 78% of the students from Science High Schools said they had difficulties in mathematic. Their thoughts about the reasons for such difficulties were analyzed by content analysis method considering the type of high school they attended. The findings obtained revealed that the difficulties encountered by the participants in mathematics were teacher-, content- and student-based. Anatolian High School students stated that they intensely faced teacher-based difficulties, whereas Science High School students stated that they faced content-based difficulties. It's expected that the results of this study may contribute to studies to be conducted to increase student success in mathematics education and provide ideas for further studies.

This article introduces the concept of the carrying capacity of data (CCD), defined as an integrated, evaluative judgment of the credibility of specific data-based inferences, informed by quantitative and qualitative analyses, leavened by experience. The sequential process of evaluating the CCD is represented schematically by a framework that can guide data analysis and statistical inference, as well as pedagogy. Aspects of each phase are illustrated with examples. A key initial activity in empirical work is data scrutiny, comprising consideration of data provenance and characteristics, as well as data limitations in light of the context and purpose of the study.  Relevant auxiliary information can contribute to evaluating the CCD, as can sensitivity analyses conducted at the modeling stage. It is argued that early courses in statistical methods, and the textbooks they rely on, typically give little emphasis to, or omit entirely, discussion of the importance of data scrutiny in scientific research. This inattention and lack of guided, practical experience leaves students unprepared for the real world of empirical studies. Instructors should both cultivate in their students a true respect for data and engage them in authentic empirical research involving real data, rather than the context-free data to which they are usually exposed.

The article focused on the use of assessment for learning in promoting active learning and learner participation in mathematics. Assessment for learning (AfL) has been found to enhance learning and improve performance. However, teachers’ use of AfL to enhance active learning has not been clearly outlined. This study is part of the broader research study that explored mathematics teachers’ use of AfL to enhance mathematics teaching and learning in primary schools in Alexandra Township, Johannesburg. A case study research-type and a qualitative approach were used to collect data from mathematics teachers. Nine teachers were purposefully selected from whom data were collected using semi-structured interviews and non-participant observation. The findings revealed that teachers had limited pedagogical knowledge in using AfL to promote active learning in their classrooms. They failed to apply a learner-centred approach that promotes effective learner participation in mathematics classrooms. Therefore, it is recommended that teachers undergo ongoing continuous development on classroom time management and planning for the effective use of AfL.

Science literacy, which is included in Programme for International Student Assessment (PISA) as an assessment area, is an important research and discussion area of science education literature with all its dimensions. In this study, the clustering results of the students from 34 Organization for Economic Cooperation and Development (OECD) countries participating in the PISA 2015 test and sampled by systematic sampling method are obtained by K-Means Clustering and Two-Step Cluster Analysis using the factor scores and PISA science literacy average scores. It is thought that the study is of great importance in terms of dividing individuals into clusters according to science instruction methods and the mean of plausible values and having an idea about how each cluster is defined. As a result of the K-means cluster analysis, it was determined that the input variable with the highest level of importance in the formation of the first and third clusters in which the students with the highest scores were included was teacher-directed science instruction, and after this variable, the input variable with the highest level of importance was the perceived feedback from science teachers. Within the scope of the Two-Step Clustering Analysis, it was determined that teacher-directed science instruction has the most importance in terms of the decomposition of clusters, followed by adaptive instruction in science lessons in terms of importance level.

For United States of America (USA) and other developed countries, science achievement gaps begin to emerge in elementary and primary school. Such gaps between USA student groups typically are connected to socio-economic status (SES) and issues such as students still learning the English language. Through an experimental design, this National Science Foundation funded study explores how integrating the arts into science, technology, engineering, and mathematics (STEM) curriculum and leading with a more STEAM-first approach (e.g., curriculum which integrates science, technology, engineering, arts, and mathematics) might provide more equitable science learning opportunities for elementary or primary grade level students. More specifically, the project’s research efforts seek to also examine how integrating the arts into science instruction might help emerging bilingual (EB) students who are simultaneously learning the English language and science. Although results provide somewhat conflicting findings of statistical significance with small to moderate effect sizes, outcomes provide initial evidence that leading with STEAM science instruction before STEM efforts can be beneficial to early readers, and for EB students this benefit is magnified. As the title of this study suggest, sometimes finding nothing is something.

The importance of literacy is a competency requirement that must be possessed by students to face competition in the 21st century. This is directly related to the extent to which students' scientific thinking processes understand and solve problems. This study aims to describe how literacy is trained in learning in junior high schools. The approach used is a qualitative approach with the type of phenomenological research. The participants in this study were 5 junior high school teachers who teach in the Special Region of Yogyakarta. Data was collected through virtual interviews with the help of the Google Meet platform. The data analysis model used is the model of Bogdan and Biklen with data collection procedures, data reduction, verification and conclusion. The results showed that literacy was trained on students with the habit of reading textbooks for 15 to 30 minutes every day by reporting their readings in student journals, teacher efforts in changing project and problem-based learning methods and strategies according to student conditions, and teacher habituation in providing HOTS level questions to train students' critical thinking processes, balance theoretical understanding and understand the surrounding environment.

The study discussed in this paper is a systematic literature review related to the role of dual language programme (DLP) in mathematics education which has been published within the last 5 years. This study was conducted to identify the distribution of DLP studies in terms of year of publication, the study context covered in previous studies, the context of study areas used, focus and trends of past studies, research methods used in previous studies and the role of language in school mathematics education. This review study followed the guidelines of Preferred Reporting Items for Systematic Reviews and Meta-Analyzes (PRISMA) to analyze articles from Scopus and Web of Science. The findings of the study indicate that research trends in the implementation of the DLP on mathematics education for secondary school students showed an increase from 2017 to 2019. Most DLP-related articles are widely developed in the United States and Germany. The findings indicate that previous studies are more interested in studying the implementation of DLP in rural areas. Past studies have also preferred to use the design of either a qualitative study or a quantitative study to be implemented. Questionnaires, tests and interviews are among the research instruments that are often used for a study.

This study aims to investigate the relationship between the science learning skills of primary school teacher candidates and various variables. A correlational survey design was used in the study as a research methodology. With the correlational survey design, the relationships between the science learning skills of the primary school teacher candidates and some variables were examined and their effectiveness in predicting their science learning skills was determined. This study was conducted on 160 teacher candidates in the spring term of the 2019-2020 academic year. As a result of the study, a high level of correlation was found between the science learning skills of the primary school teacher candidates and their self-efficacy belief in science education. In addition, it was found that 38% of science learning skills were explained by attitudes and beliefs. In other words, it was seen that the affective characteristics of pre-service teachers about science significantly affected their science learning skills. In the light of these results, it is recommended to carry out studies in the education process to develop the necessary skills before considering the cognitive competencies of primary school teachers about science. They should also develop positive feelings towards science and gain the understanding that science is not a field of memorization, but a fun field necessary to make sense of the world.  

The purpose of this study was to compile and statistically analyze the results of research studies that examined students' problem-solving skills in worksheets. The research method used was a meta-analysis. The study search was conducted from 2013 to 2022 in Google Scholar and the Garuda portal databases. The search yielded 40 studies that met the inclusion criteria for extraction from research and development, experimental, and quasi-experimental. From the extracted results, 45 comparisons of data were examined. Microsoft Excel was used to calculate the effect size of the problem-solving worksheet. This study yielded a value of 1.281 for the entire study, indicating that the worksheet had a significant and positive impact on students' problem-solving skills. The results indicate the need to develop worksheets to improve students' problem-solving skills.

The purpose of this systematic literature review (SLR) is to identify: (a) the topic of the study, (b) the research methods used, and (c) the results of research on Mathematics education in Malaysia. This study discusses the use of teaching aid (TA) in the field of syllabus and geometry for Form 2 students. The use of TA is considered highly successful and relevant for educators to improve the quality of the teacher’s instructions and students’ understanding. Therefore, using the rules of optional reporting items for systematic review and meta-analysis (PRISMA) by Moher et al. (2015), a review system was carried out to determine the appropriate strategies and variables for the field. Four stages constitute the PRISMA paradigm used in this study: identification, screening, qualification, and admission. Using criteria opted by researchers from multiple searches, including Google Scholar, Researchgate, Scopus, and Emerald, over 20 papers were identified for additional investigation. The data were then analysed quantitatively to describe the research's findings. From the results, two main research themes were found, namely (a) learning to use TA; and (b) the field of measurement and geometry of Mathematics. The results of the article analysis indicate that Mathematics education in Malaysia is currently at a moderate level and is ineffective at fostering students' understanding and interest. These results are anticipated to serve as the foundation for teachers, students, schools, and the Ministry of Education to undertake more engaging and interactive learning, particularly in the subject areas of mathematics and geometry.

The mathematical literacy ability of Indonesian pupils is still relatively low, as indicated by Indonesia's score of 379 for mathematical literacy in PISA 2018. Paying attention to the learning process such as the teaching materials used in learning, is one of ways to increase mathematical literacy skills. To strengthen students' mathematical literacy skills, it is great for building qualified mathematics teaching materials with the nuances of science, technology, engineering, and mathematics (STEM) which are supported by the information and communication technology (ICT)-assisted Preprospec (Prepare, Problem Solving, Presentation and Conclusion) Learning Model. The research method used in this study is research and development (R&D), with the main reference of 4D-model development by Thiagarajan, whose stages are limited to define, design, and develop. The results showed that the feasibility test on teaching materials obtained the total average percentage of validator I to validator V, respectively, 90.19, 95.45, 93.90, 91.95, and 97.95 with very eligible criteria. It is easy to understand by students with a readability score of ρ = .109 > α = .05 or Cochran's Q = 13.091, and it can improve students' mathematical literacy skills, as evidenced by the Wilcoxon test and a gain normalization result of 485.

The pedagogical and didactic guidance of teachers has been linked, in the relevant literature, to the school management’s adoption of the model of pedagogical leadership as well as to the assurance of a series of factors that influence it. This study aims at investigating the pedagogical role of the principal in Greek primary schools. Data were collected through an anonymous questionnaire completed by 133 Greek primary school head teachers. Results show that head teachers consider that their pedagogical role has mainly to do with the pedagogical climate, psychosocial and pedagogical guidance of the school unit. Additionally, the research results show that head teachers carry out their pedagogical role cooperating and communicating mainly with the members of the educational community of the school. Another noteworthy finding of the present study is that the factors that support head teachers in their pedagogical leadership role, are hard to exist in hierarchical educational realities such as Greece. The originality of the paper draws attention to the school's socio-economic environment, which significantly influences school leadership. Conclusions on the implications of the study are made and directions for future research are suggested.

This study is designed to illuminate the role of four key constructs—teacher-student relationships, peer networks, satisfaction with support services, and employability trust—in shaping the social capital within universities. Utilising a sample of 1902 working students derived from the Eurostudent VII survey data, this research applies both exploratory and confirmatory factor analysis to validate the proposed model. The findings indicate that all four constructs demonstrate statistically significant and positive associations with university social capital. Crucially, the measures of reliability and validity are within an acceptable range, lending credibility to the findings. The teacher-student relationship was found to be the most influential factor, highlighting its crucial value in the functioning of social capital inside universities. Along with providing a framework for future studies on the ever-changing nature of social capital in universities, the results highlight the significance of cultivating an interconnected academic community, which enriches the educational organisation as a whole.