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 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.

The aim of this cross-sectional study is to determine the fundamental motor skills (FMS) proficiency of children with mild intellectual disabled (MID) and to compare their FMS proficiencies in terms of age and gender. This study has three purposes. These are a) Defining the FMS proficiencies of the participants, b) Examining the FMS proficiencies of the participants in terms of gender variable, c) Examining the FMS proficiencies of the participants in terms of the age variable. Participants consisted of 122 MID students aged 7-10 years (M = 8.25, SD = 0.92). FMS proficiency was evaluated with the Gross Motor Development Test-Second Edition (TGMD-2). Independent Samples t test and ANOVA test were used to test the differences between groups. As a result: a) It was observed that the participants could not perform the FMS at the mastery level. Participants failed to demonstrate FMS proficiency appropriate for their age and showed delays in FMS compared to the TGMD-2 normative sample. Most of the participants performed “below average” and “poor” for LOC and OC skills. It was determined that the participants obtained higher scores in LOC subtest compared to OC subtest, b) It was determined that males were more proficiency in FMS and subtests than females, c) No difference was found in FMS proficiency in terms of age. These results show that opportunities need to be increased to develop the FMS proficiency.

Individuals’ engagement with reading and maintaining it depends on personal motivations. Having a multidimensional structure, reading motivation is affected by intrinsic factors. Studies on reading motivation can make a significant contribution to identifying students’ intrinsic motivation profiles closely, encouraging them to read, and increasing their reading engagement. The present study aimed to determine the individual and socioeconomic variables predicting middle school students’ intrinsic reading motivations. Employing the predictive correlational design, the study was carried out with 459 students attending six different public schools in the city of Sanliurfa. The participants were determined by stratified purposeful sampling method. The study data were collected by the Intrinsic Reading Motivation Scale and the Personal Information Form. According to the hierarchical regression analysis results, all the models constructed in the study were significant. All of the variables explained the intrinsic reading motivation with a 22% variance explanation percentage. As a result, it can be said that the change observed in intrinsic reading motivation variance mostly stemmed from reading engagement (ΔR²=.12), family (ΔR²=.07), demographic characteristics (ΔR²=.03), and school (ΔR²=.01), respectively. It can be stated that the predictors of the intrinsic reading motivation determined in this study should be taken into consideration by educators.

The study aims to analyze, in terms of content and process, the math talks between the mother and child during the shared book reading of the illustrated storybooks with math contents. The study group under the research is comprised of nine pairs of mother and child. The process of the study 18 videos which were recorded when two storybooks with math contents were read by the mothers. In the data collection process, each pair of mother and child together read two storybooks given to them in their home environment, and the entire process was video-recorded. Subsequently, interviews were held with mothers for identifying their views about supporting their children’s math skills. It was shown that the content of mother-child math talks in the home environment was mostly about the learning area of numbers and counting skills. It was a remarkable result that math concepts such as sorting/ranking and properties/features of objects were not in the contents of mother-child math talks. The results from interviews with mothers, it was inferred that the mothers viewed themselves as inadequate for talking to their children about math concepts, and performed the math talks mostly on the basic skills such as counting the numbers.

What are missing in the U.S. education policy of “college for all” are supporting data and indicators on K-16 education pathways, i.e, how well all students get ready and stay on track from kindergarten through college. This study creates synthetic national longitudinal education database that helps track and support students’ educational pathways by combining two nationally-representative U.S. sample datasets: Early Childhood Longitudinal Study- Kindergarten (ECLS-K; Kindergarten through 8th grade) and National Education Longitudinal Study (NELS; 8th grade through age 25). The merge of these national datasets, linked together via statistical matching and imputation techniques, can help bridge the gap between elementary and secondary/postsecondary education data/research silos. Using this synthetic K-16 education longitudinal database, this study applies machine learning data analytics in search of college readiness early indicators among kindergarten students. It shows the utilities and limitations of linking preexisting national datasets to impute education pathways and assess college readiness. It discusses implications for developing more holistic and equitable educational assessment system in support of K-16 education longitudinal database.

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 research analyzes the effects of restricting face-to-face classes during the lockdown and students' preparation for face-to-face instruction. During the academic year 2021-2022 break, it was conducted at Nueva Ecija University of Science and Technology (NEUST)-Gabaldon Campus's College of Education. This study employed a descriptive correlational and descriptive comparative research design. The 151 education students who participated in this study were chosen using a stratified sampling method. According to the study, students received satisfactory to very satisfactory grades during the lockdown. The study also showed that after the lockdown and after the Commission on Higher Education recommended face-to-face classes, the majority of respondents agree that they are academically, socio-emotionally, and physically prepared to go through a face-to-face mode of learning. The majority of them prefer face-to-face classes to any other form of distance learning. The general weighted average of a student is a predictor of academic readiness in face-to-face classes. In addition, students' general weighted averages have direct link to their socio-emotional readiness. Students' profiles, on the other hand, have no impact on their physical readiness. There is no significant difference in student preparation in face-to-face classes when students are grouped by gender, year and section, and civil status. There is no association between the student profile and their preferred mode of learning. The theoretical and practical ramifications of the research were also addressed.

This qualitative study explored the possibility of implementing the happy school model (HSM) in the context of Vietnamese higher education, with a focus on the socio-cultural perspectives of nine tertiary English as a foreign language (EFL) teachers at different career stages. Through semi-structured interviews, thematic analysis, and theoretical underpinning by constructivist paradigm and humanistic education theory, the study illuminated multifaceted insights. Key themes emerged, including aligning the HSM with holistic student development, recognizing challenges and potential benefits, balancing traditional Confucian values, and adapting the model to Vietnam’s unique socio-cultural and economic landscape. The findings provide valuable guidance for educational innovation in Vietnam, highlighting complexities of aligning a new educational paradigm with existing practices and cultural norms. While the study’s focus on a specific cultural context and limited participant pool presents certain limitations, the insights offer rich contributions to the broader global dialogue on education and human development. Future research directions and practical implications are also discussed, making this study a valuable resource for educators, policymakers, and researchers interested in the intersection of universal educational principles and specific cultural contexts like Vietnam.