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.

This research was conducted to investigate the predictive role of homophobia and unconditional self-acceptance on respect of differences in psychological counselor candidates. Participants were 239 psychological counselor candidates. The Respect of Differences Scale, the Homophobia Scale, and the Unconditional Self-Acceptance Scale were used to collect the data. Path analysis was used to determine the influences of variables on respect of differences. The independent sample t-test and one-way ANOVA were used to determine differences between participants in terms of gender and grade. The results of the analysis indicated that homophobia and unconditional self-acceptance are predictors of respect of differences, and place of living and traditionally have an indirect effect on respect of differences. In addition, female participants reported a higher level of respect of differences than male participants. Similarly, first year college students reported a higher level of respect of differences than fourth year college students.

The aim of this study is to develop an Entrepreneurship Scale to measure the entrepreneurial skills of 5th grade students and to conduct the reliability and validity of the scale. This research is a descriptive survey method. The pilot application was made with 432 students in Amasya City in Turkey. SPSS 23 and LISREL 8.80 programs were used to analyze the data. Exploratory and confirmatory factor analysis was performed to construct the validity. As a result of exploratory factor analysis, a 4-factor structure emerged on the scale. Confirmatory factor analysis confirmed the structure, and it was determined that the developed model was in compliance with the criteria in the literature. These sub-factors were identified as meaningful in terms of self-confidence, need for success, personal benefit and leadership and responsibility. The Cronbach Alpha internal consistency coefficient of the scale was determined as 0.77. At the end of the research, a reliable and valid measurement scale about entrepreneurship was developed for the 5^th grade students.

Computational thinking is a way of thinking that covers 21st century skills and includes new generation concepts such as robotics, coding, informatics and information construction. Computational thinking has reached an important point especially in the field of science in line with the rapid developments in technology. Robotics applications, software-based activities, STEM (Science, Technology, Engineering, Math) education and problem-based studies are some of the areas where this thinking is used. In this study, which is based on this point, it is aimed to develop a scale for computational thinking. Exploratory sequential design, one of the mixed research methods, was used in the study. First of all, a detailed literature review was conducted and needs analysis was carried out. This study consists of two stages. In the first stage, exploratory factor analysis was performed and analyzed with SPSS 23 program. In the second stage, confirmatory factor analysis was performed and analyzed with LISREL 9.2 program. As a result of the study, the goodness of fit indexes of the scale was found. According to this; X²/df value 1.81; NNFI value 0.97; NFI value 0.93; CFI value 0.98; RMR value 0.05; SRMR value 0.04; AGFI value 0.91 and GFI value was found to be 0.93. When the reliability values of the study were examined, Cronbach’s Alpha value was found to be 0.86. As a result of the research, a computational thinking scale consisting of 3 factors and 30 items was developed. This scale was developed for prospective teachers and can be used at all levels of prospective teachers.

The character strengths and virtues approach is a classification system to examine the characteristics of good character in terms of twenty-four strengths and six virtues. This study was designed to investigate the psychometric properties regarding the reliability and validity of the Turkish version of the VIA-Youth. A tool developed to evaluate the character strengths of youth. In addition, character strengths were examined in terms of life satisfaction, values and demographic characteristics. 1963 high school students between 14-19 years participated in this study by completing VIA-Youth and the Human Values and Life Satisfaction inventories. The results confirm the six-factor model in the theoretical framework. It has also been concluded that character strengths affect life satisfaction and values and that socio demographic features are related to strengths. The adaptation of this inventory into Turkish culture contributes to the current understanding of the universal aspects of character strengths for studies within the context of positive youth development. Besides the adaptation, the relationships between character strengths, values, demographic characteristics and life satisfaction were discussed and suggestions were made.

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 quantitative study aims to examine the relationships between enabling school structure, academic optimism and altruistic behaviours as well as to find out whether altruistic behaviours serve as a mediator between enabling school structure and academic optimism. A scale was applied to teachers from primary- schools in Turkey via random sampling. There were 707 teachers participating in this study. Three existing scales, which are enabling school structure, academic optimism, and teachers’ altruistic behaviours scales, were used to collect data from teachers. Descriptive statistics and bivariate correlations were calculated in the study to investigate correlations among all the variables and reliabilities of the measures. Structural Equation Modelling investigated the effects of Enabling School Structure on School Academic Optimism through Teachers’ Altruistic Behaviours. The results confirmed a positive relationship between all variables of the study. The findings also revealed the mediator effect of TAB on the relationship between ESS and SAO. Finally, some recommendations were given based on results.

The objectives of this research were to: 1) Study the suitability of the indicators to be included in the model, 2) Test the consistency of the model developed from the theories and research studies’ empirical data, 3) Evaluate reliability value of the main components, the sub-components and other related indicators. The population used in the research were the teachers in the schools under the local administrative organization of Thailand. The multistage random sampling was used for the selection of 660 samples from a total population of 30,359 teachers across the country. The following results were observed: 1) All of the 52 indicators used in the research were appropriate according to the specified criteria, 2) The theoretical model was found to have been consistent with the empirical data. All of the statistical figures including; Relative Chi-Square, Root Mean Square Error of Approximation, Goodness-of-Fit Index, Adjusted Goodness-of-Fit Index, Comparative Fit Index, and Normed Fit Index: NFI, were found to have met with the specified criteria in both the first and the second confirmation factor analyzes, and 3) The primary element’s factor loading was between 0.73 to 1.48, which is higher than the criteria of 0.70, the sub-element’s factor loading was between 0.67 to 1.72 and the indicators weight was between 0.68 to 1.37, which is higher than the criteria of 0.30. These results indicate that the theoretical model developed in this research can be effectively used with construct validity for the development of the targeted samples in a research study.

This study examined the effect of Yunnan’s ethnic minority college students’ acculturation on their academic achievement under the risk of the Matthew effect. Additionally, the role played by learning motivation in the relationship between ethnic minority college students’ acculturation and academic achievement was explored. A total of 403 valid questionnaires were collected from four areas in Yunnan province, China. Consequently, the Acculturation Scale, Academic Achievement Scale, and Learning Motivation Scale were used for measurement materials. These items of scales were evaluated on a five-point Likert scale ranging from 1 (strongly disagree) to 5 (strongly agree). SPSS (statistical package for the social sciences) and AMOS (analysis of a moment structures) softwares were used for data analyses. In addition, items were analyzed through item analysis, confirmatory factor analysis, reliability analysis and regression analysis. These results indicated that ethnic minority college students with low acculturation and learning motivation or high acculturation and low learning motivation can become objects of the Matthew effect. However, this study also observed that in certain students, high acculturation and high learning motivation can prevent the Matthew effect. Thus, high acculturation is crucial for improving academic achievement in ethnic minority college students. A level of high learning motivation is a powerful moderator promoting the academic achievement of students with high acculturation.

Students' intercultural competence and reading ability are an essential aspect of their education. Intercultural competence, defined as respect for the cultural views, beliefs, and traditions of others, is a necessary skill for effective and appropriate communication. Using a multidimensional model, this study investigated the effect of intercultural competence among Thai junior high school students on their resilience, well-being, and attitudes toward reading. A 2018 Program for International Student Assessment data set relating to 7,411 students from 289 schools in Thailand was analyzed using structural equation modeling. The research findings suggest that improved intercultural competence strengthens resilience, well-being, and attitudes toward reading.

The purpose of the study was to identify how the designed instructional model moderated the vocabulary-related anxieties in students when they communicated in the media internationally. The methodological approach used in the study was aimed at controlling and manipulating variables which were as follows: The level of vocabulary anxiety related to communication in the media, cultural intelligence, and English vocabulary level. The study relied on quantitative and qualitative methods to gather the experimental data and answer the research questions. Insufficient vocabulary was found to be one of the key factors of anxieties in students when they communicated in the media internationally. The major sub-factors of the vocabulary-related anxieties in the students when they communicated in the media internationally (as perceived by the respondents) were spontaneous interaction with the native speakers, guessing the meaning of the words from the context, and paraphrasing ideas using synonyms. The instructional-purpose use of the predesigned vocabulary lists, learning them using the Telegram bot, talking to the foreign speakers in the media, self-analysis, and analysis by peers were proven to be capable to moderate the vocabulary-related anxieties in students when they communicate in the media with the foreign speakers.

Currently, physics education is a science that is still considered abstract by many students and the public. Thus, there is a need for information on the current trends in physics education to adapt to the current situation. Based on the Scopus, the research objective is to explore the ongoing trends in the last ten years and during the COVID-19 pandemic. This research is a bibliometric and bibliometric analysis. The findings show that research related to physics education is dominated by the most developed during the COVID-19 pandemic (2020 – 2021) countries Indonesia. Meanwhile, the Journal of Physics Conference Series is the journal that publishes the most publications (Scopus) related to physics education, followed by the AIP Conference Proceeding. Research implication to research, librarian, and policy maker (1) Research and development need to be carried out in-depth related to the growing trend of physics education so that it can be published in Scopus. (2) Cooperation and collaboration between other universities to increase publications at the international level. (3) The need for continuous research to follow current trends.

The field of studies in metacognition points to some limitations in the way the construct has traditionally been measured and shows a near absence of performance-based tests. The Meta-Text is a performance-based test recently created to assess components of cognition regulation: planning, monitoring, and judgment. This study presents the first evidence on the structural validity of the Meta-Text, by analyzing its dimensionality and reliability in a sample of 655 Honduran university students. Different models were tested, via item confirmatory factor analysis. The results indicated that the specific factors of planning and monitoring do not hold empirically. The bifactor model containing the general cognition regulation factor and the judgment-specific factor was evaluated as the best model (CFI = .992; NFI = .963; TLI = .991; RMSEA = .021). The reliability of the factors in this model proved to be acceptable (Ω = .701 & .699). The judgment items were well loaded only by the judgment factor, suggesting that the judgment construct may actually be another component of the metacognitive knowledge dimension but having little role in cognition regulation. The results show initial evidence on the structural validity of the Meta-Text and give rise to information previously unidentified by the field which has conceptual implications for theorizing metacognitive components.

The purpose of the study is to explore the ways of involving university stakeholders specifically in updating educational services. It combined exploratory and observational research methods which relied on qualitative or quantitative data gathered through the researcher-designed and validated tools which were the empirical and methodological contributions to the previous research. The five most frequent choices that might encourage the stakeholders to donate or invest in an educational institution were as follows: a portfolio of the use of donations, investments, or grants, having a stake in the educational services of more than 7%, having access to budgeting and cost reporting, having a share in the institutions’ profit and being one of the decision-makers. The factors that discouraged investors from investing in education were as follows: distrust of the activity of the educational institutions in terms of addressing the stakeholders’ needs or interests, lack of engagement or cooperation, institutional and government-imposed barriers between them and the institutions, uncertainty concerning the efficiency of the institutions and inefficient use of the resources by the institutions. The initiative was complimentarily perceived by stakeholders in terms of collaboration and investment opportunities. It was also found beneficial by the sampled students.

This study uses structural equation modeling (SEM) analysis techniques, with the aim of testing the structural effect of family support, entrepreneurial training, on entrepreneurial intentions, with self-efficacy and student achievement motivation as mediators. A total of 203 students participated in this study, through a questionnaire distributed online. The SEM analysis was performed using the Amos 24 App. The results showed that the family environment and entrepreneurship training had a direct and indirect effect on entrepreneurial intentions through self-efficacy and student achievement motivation. The model proposed and tested in this study can be a constructive guide for related parties in an effort to promote students' entrepreneurial intentions.

This study investigated college students’ career maturity as a mediator of the effect of professional identity on academic achievement. The researchers developed a structural equation model and a research hypothesis using the Chinese college students’ professional identity scale, career maturity scale, and academic achievement scale. After experts’ revision and confirmatory analysis, the 3 scales had sufficient reliability, validity, and fit. The researchers distributed electronic questionnaires to students in 4 universities in Jilin Province, China, and participants responded using 5-point Likert-type scales. The researchers collected 1,104 valid questionnaires. According to the analysis, college students’ professional identity is a positive predictor of their academic achievement, and career maturity partially mediates the influence of professional identity on academic achievement. Therefore, improving Chinese college students’ professional identity may improve their academic achievement, and professional identity can have a positive effect on academic achievement through career maturity. University administrators and teachers should enhance the career maturity of college students and promote their professional development.

Researchers have recognized the need for updates of test anxiety scales for more measurement accuracy. However, studies that investigated the measurement invariance of the Test Anxiety Inventory (TAI), and identified the latent profiles remain scare not withstanding its wide usage in Nigeria. This might have an impact on how generalizability and reliance on outcomes from such an instrument are handled. We investigated the measurement invariance of TAI and the latent profiles among Nigerian adolescents. Gender constituted our focus in the measurement invariance given its significance in test anxiety research. Adolescent students (n=539) formed the sample of our study. We employed the confirmatory factor analysis (CFA) and the latent profile analysis (LPA) to measure the invariance and identify the class profiles. We found evidence of a measurement invariance across gender in both competing models given that we obtained strict measurement invariance. We also identified a four-class profile model for both male and female students: low (17.50%; 19.00%), moderate (17.50%; 34.40%), high (36.80 %; 32.80%), and very high (12.60%; 13.80%) test anxiety profiles respectively. We concluded that while the composed factors are equivalently scaled across gender that test anxious students were not monolithic given the identified profiles.

Examining the academic locus of control, procrastination, and school satisfaction is crucial for understanding student well-being and educational outcomes. The purpose of this study was to explore the potential mediating role of academic procrastination in the association between academic locus of control and school satisfaction in a sample of adolescents (N = 628; X̄ = 13.30, SD = 1.74) residing in various regions of Azerbaijan. The results revealed that higher levels of internal locus of control were positively related to school satisfaction, while increased levels of external locus of control were negatively associated with school satisfaction. The analysis using structural equation modeling showed that school satisfaction was partially influenced by academic procrastination, which acted as a mediator in the relationship between internal locus of control and school satisfaction. Additionally, academic procrastination fully mediated the relationship between external locus of control and school satisfaction. These findings were further discussed in the context of existing literature, and recommendations were provided for future research in this area.

Evaluation of child-friendly school (CFS) policies is essential to determine the achievements of school efforts in reducing violence cases. This research aims to proving the reliability and validity of CFS policy evaluation instruments in elementary schools with different locations. This investigation uses the Context Input Process Product (CIPP) evaluation model to confirm the factor structure or dimensions of several observed variables (items) to evaluate the reliability and validity of the CFS policy evaluation tool in elementary schools. The validity and reliability of previously created instruments are evaluated quantitatively, but this study utilises different subjects and study sites. There were 320 respondents, with 145 school principals and 175 teachers taken randomly. Confirmatory factors analysis (CFA) results show goodness of fit (GOF), and the model is acceptable. The CFS evaluation instrument can be accepted after eliminating several question items and modifying them. All items of the teal instrument meet the goodness of fit criteria in terms of chi-square and root mean square error of approximation (RMSEA). The instrument for evaluating CFS policies in primary schools using the CIPP model has met a valid and reliable psychometric property test so that it can be applied.

The role of artificial intelligence (AI) in education remains incompletely understood, demanding further evaluation and the creation of robust assessment tools. Despite previous attempts to measure AI's impact in education, existing studies have limitations. This research aimed to develop and validate an assessment instrument for gauging AI effects in higher education. Employing various analytical methods, including Exploratory Factor Analysis, Confirmatory Factor Analysis, and Rasch Analysis, the initial 70-item instrument covered seven constructs. Administered to 635 students at Nueva Ecija University of Science and Technology – Gabaldon campus, content validity was assessed using the Lawshe method. After eliminating 19 items through EFA and CFA, Rasch analysis confirmed the construct validity and led to the removal of three more items. The final 48-item instrument, categorized into learning experiences, academic performance, career guidance, motivation, self-reliance, social interactions, and AI dependency, emerged as a valid and reliable tool for assessing AI's impact on higher education, especially among college students.