This study aims to conduct Turkish adaptation, validity and reliability studies of the Teacher Rating Scales of Early Academic Competence. This study also aims to examine and improve early academic competence thoroughly on the basis of teachers’ ratings in Turkey, and lastly to contribute an assessment and measurement instrument to the literature which will enable to conduct further research in the field. This study was designed in a general survey model. The study included normally developing 619 36-72 month-old preschoolers attending to nursery classes and kindergartens affiliated to Afyonkarahisar Ministry of National Education in 2015-2016 academic year. The validity and reliability studies of the data obtained following the implementation of TRS-EAC, was completed. The Cronbach Alpha, split half test, test-retest reliability of the scale and its subscales were measured. TRS-EAC was found to be valid and reliable for 36-72 month-old children. It can be considered that the various studies that can be used TRS-EAC in Turkey will provide important contributions to the measurement power of this test.

In general, teacher educators are considered to be educational specialists whose main task is to communicate content-based concepts to prospective teachers. However, unfortunately, most studies on teacher professional development overlook this specific language-oriented aspect of content-based teaching. Therefore, we address the aforementioned research gap and argue that teacher educators’ evaluation of their language-oriented performance in educational communication enhances the quality of their content-based teaching. Accordingly, we examine how the language-oriented performance of teacher educators is evaluated by both individual teacher educators (sample size N=3) and their students (N=32) in a small-scale intervention study. The findings of the study reveal that there is a relationship between the order of application of five language focus areas (i.e., language awareness, active listening, formalizing interaction, language support, and language and learning development, as noticed by the students), and teacher educators’ ability to apply these areas in accordance with their objectives related to content-based teaching.

This study describes the development and validation of a psychometrically-sound instrument, the Active Learning Strategies Inventory (ALSI), designed to measure learners’ perceptions of their active learning strategies within an active learning context. Active learning encompasses a broad range of pedagogical practices and instructional methods that connect with an individual learner's active learning strategies. In order to fulfill the study's goals, a conceptual framework on learners’ active learning strategies was developed and proposed, drawing upon the research literature on active learning. The development and construct validation of the Active Learning Strategies Inventory (ALSI), based on the conceptual and methodological underpinnings, involved identifying five scales of learners’ active learning strategies: engagement, cognitive processing, orientation to learning, readiness to learn and motivational orientation. An item pool of 20 items was generated following an extensive review of the literature, standardized card sorting procedures including confirmatory factor analysis and scale validation of a pilot (n = 407) survey. The ALSI scale demonstrated strong internal consistency and reliability with a Cronbach's alpha ranging from 0.81 to 0.87. High item loading scores from the factor analysis provided initial support for the instrument's construct validity of the five-factor model. The ALSI scale provides a reliable and valid method for researchers and academicians who wish to measure learners' perceptions of their active learning strategies within an active learning context. Finally, we discuss the implications and address the limitations and directions for future research.

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.

This study focused on teachers' awareness of students' learning situations during distance learning. It took place at the Nueva Ecija University of Science and Technology (NEUST) - Gabaldon Campus during the academic year 2021-2022. The study employed descriptive-comparative and descriptive-correlational designs. The 249 students were selected using a stratified sampling technique, whereas the 25 teachers were selected using a purposive sampling technique. Findings revealed that teachers are aware of their students' situations. The students believe that they faced learning challenges during distance learning. There is a significant difference between male and female teachers in terms of student learning environment awareness, but no statistically significant difference in the teacher's awareness of the student's learning situation across age groups, service years, and academic rank. There is a significant difference in the learning anxiety of male and female students but not in the learning environment and blended learning readiness. The learning environment and readiness for blended learning do not differ significantly across age groups of students, but anxiety does. A statistically significant difference in student readiness in blended learning was observed based on students' courses but not on the learning environment or anxiety. There is no significant difference in students' learning situations based on family income or parental educational attainment. There was no significant difference in student achievement based on the teachers' level of awareness. Achievement is positively correlated with learning environment and readiness but negatively associated with anxiety. In addition, the study discussed its theoretical and practical implications.  

The purposes of this research are (a) to make an instrument to measure the achievement of project-based digitalpreneurship learning in students; (b) to describe the quality of the project-based digitalpreneurship learning achievement assessment instrument for vocational high school students; (c) to measure the competence and skills. This study employed to research and development as its methodology, using a combination procedure between Oriondo and Antonio and, Mardapi. The development procedure includes three stages: instrument design, instrument testing, and measurement. A total of 795 students who participated in the study at 5 vocational high schools in Yogyakarta's special region served as responders. Data analysis in this development uses the content validity of the formula Aiken V Index, confirmatory factor analysis establishes the construct's validity, and construct reliability. Measurement instrument development. Research findings that (a) the instrument is ready to be used in the measurement; (b) the quality of the project-based digitalpreneruship learning achievement assessment instrument for vocational high school students is well tested. This is evidenced by the validity test which has a high score >.8; The proof of construct validity in this study using CFA > .5; GOF chi-square value with a critical value of df = 289, X2 = 323, p-value with a critical value of .079, RMSEA with a critical value of RMSEA .019 (≤ .08), SMRM with a critical value of SRMR 0.030 (≤ .05), CFI with a critical value of CFI .990 (> .97), and an NFI with a critical value of NFI .989 ( > .90); (c) the measurement results are identified in the process that needs to be improved again regarding the digitalpreneurship skills of vocational high school students.

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.

Many education and learning experts currently recommend the flipped classroom model as an alternative to learning after the COVID-19 pandemic. This study aims to explore the impact of the flipped classroom model on social skills and problem-solving skills for cadets. This research used a sequential mix method involving 50 maritime students in semester 7 of the Engineering Study Program at the Maritime Sciences Polytechnic Makassar, South Sulawesi, Indonesia. Researchers used two main instruments, namely problem-solving skill tests and interviews. Furthermore, in the quantitative analysis, the researcher ran paired sample t-tests and one-way Multivariate Analysis of Covariance (MANCOVA) using the SPSS 25.00 program. In addition, researchers also analysed qualitative data from interviews using thematic analysis techniques. The results showed that the flipped classroom model proved to have a positive effect on the problem-solving skills of maritime students. Other findings state that the cadets also respond positively to the flipped classroom model. Researchers recommend that teachers use the flipped classroom model, especially in dealing with learning in the post-pandemic era, like today.

Increasing the number of entrepreneurs is not just a school task, it requires joint work between educational institutions and the community. Using structural equation modeling, this research aims to investigate the role of community in promoting entrepreneurial careers for students, by adding achievement motivation, entrepreneurial attitudes, and entrepreneurial intentions as predictor variables. The population of this research was high school students in urban areas, and the sample was taken based on convenience sampling, with a total of 300 students participating. Data were analyzed using EFA, CFA, and structural model evaluation using SPSS 24.0 and AMOS 24.0. The research results show that all hypotheses are accepted, meaning that community support influences students' entrepreneurial career choices, as do other predictor variables. This study can provide guidance for developing educational strategies and policies that support the development of young entrepreneurs in the future, through predictor variables.

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.