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.

The purpose of this study is to examine the mediator role of cognitive flexibility and difficulties in emotion regulation in the relationship between resilience and distress tolerance amongst college students. The sample of the study involved 1114 students (771 females, 343 males) from various universities in Turkey. The mean age of the sample was 20.65 (Sd=2.77). The Resilience Scale, Distress Tolerance Scale, Cognitive Flexibility Scale, and Difficulties in Emotion Regulation Scale (DERS) had been used to collect data. In this study, a Serial Multiple Mediation Model was used, as proposed by Hayes. The findings showed that people with a higher level of distress tolerance possess higher degrees of cognitive flexibility and that cognitively more flexible individuals experience less difficulty in emotion regulation, and thus, lower levels of difficulty in emotion regulation were associated with an increase in resilience. Furthermore, the model in its entirety had proven to be statistically significant, accounting for 42% of the total variance.

Two new instruments were created to assess secondary students’ (ages 14-18) spatial learning attitudes and their interest in science and technology, related careers ideas and perceptions about geospatial technologies. These instruments were designed to evaluate the outcomes of a geospatial learning curriculum project. During a two-year period, we explored the use of these instruments during the prototype testing and pilot testing of a series of socio-environmental science investigations. The instruments were implemented with 664 ninth grade urban students from a population traditionally underrepresented in STEM-related fields. Both classical and Rasch analyses were conducted each year to optimize the instruments. The resulting 24-item Student Interest in Science, Technology and Geospatial Technology (STEM-GEO) measure and 9-item Spatial Learning Attitudes (SLA) measure had high internal consistency reliabilities (Cronbach’s Alpha) as well as acceptable Rasch reliabilities. Content validity and construct validity evidence were also summarized and discussed.

This study aimed to develop an instructional design that focuses on programming teaching for gifted and talented students and to investigate its effects on the teaching process. During the development of the instructional design; the steps of Morrison, Ross and Kemp Instructional Design Model were followed. Embedded experimental design, one of the mixed-method research designs, was used in the modeling of the study. The participants consisted of students studying at the Science and Art Center (BILSEM) (experimental group: 13 girls and 12 boys, control group: 10 girls and 15 boys). While the instructional design developed by the researchers was applied to the gifted and talented students in the experimental group, the standard activities used in Information Technologies and Software Courses at BILSEM were applied to the gifted and talented students in the control group. “Computational Thinking Scale (CTS)”, “Torrance Creative Thinking Test (TCTT-Figural)” and “Computer Programming Self-Efficacy Scale (CPSES)” were used to collect the data of the quantitative phase of the study. Qualitative data were gathered by using interview form, observation forms, and design thinking rubric. Two-Factor ANOVA Test, Bonferroni Adjustment Multiple Comparisons Test, and interaction graphs were used to analyze quantitative data while qualitative data were analyzed by content analysis. The quantitative results of the research showed that the instructional design was effective on students' computational thinking and creative thinking skills, but not on programming self-efficacy. Qualitative findings revealed that the instructional design helped the students learn the computational concepts, use computational applications, and develop computational-perspectives. Also, students improved their design thinking skills to a certain level and expressed that they enjoyed the design thinking process, learned the course content, and experienced some difficulties.

Kelley’s Discrimination Index (DI) is a simple and robust, classical non-parametric short-cut to estimate the item discrimination power (IDP) in the practical educational settings. Unlike item–total correlation, DI can reach the ultimate values of +1 and ‒1, and it is stable against the outliers. Because of the computational easiness, DI is specifically suitable for the rough estimation where the sophisticated tools for item analysis such as IRT modelling are not available as is usual, for example, in the classroom testing. Unlike most of the other traditional indices for IDP, DI uses only the extreme cases of the ordered dataset in the estimation. One deficiency of DI is that it suits only for dichotomous datasets. This article generalizes DI to allow polytomous dataset and flexible cut-offs for selecting the extreme cases. A new algorithm based on the concept of the characteristic vector of the item is introduced to compute the generalized DI (GDI). A new visual method for item analysis, the cut-off curve, is introduced based on the procedure called exhaustive splitting.

Motivation for school is an important concept which influences students’ academic, social and cultural development. Leadership behaviours to be displayed by school principals can be thought to affect the network of social relations in school and to support the climate of trust in school for students to develop positive attitudes towards the school. In this context, this paper aims to analyse the correlations between school principals’ social justice leadership behaviours, students’ trust in school principals and motivation for school. The study group was composed of 762 secondary school students from Altindag district of Ankara. The data were collected with social justice leadership scale, trust in the school principal scale and motivation for the school scale. The data were put to descriptive analysis, correlation analysis and multiple linear regression analysis. The findings demonstrated that students had moderate level of perceptions of school principals’ social justice leadership behaviours and trust in school principals and high level of motivation for school. Besides, significant correlations were also found between the variables. Additionally, it was found that social justice leadership predicted significantly trust in school principals and motivation for school. The findings showed that the social justice leadership behaviors of the school principal play a key role on students’ motivation and their trust in the principals.

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.

The self-report and think-aloud approaches are the two dominant methodologies to measure metacognition. This is problematic, since they generate respondent and confirmation biases, respectively. The Meta-Performance Test is an innovative battery, which evaluates metacognition based on the respondent's performance, mitigating the aforementioned biases. The Meta-Performance Test consists of two tests, the Meta-text, which evaluates metacognition in the domain of reading comprehension, and Meta-number, in the domain of arithmetic expressions solving. The main focus of this article is to present the development of the battery, in terms of its conceptual basis, development strategies and structure. Evidence of its content validity is also presented, through the evaluation of three experts in metacognition, two experts in Spanish language, two experts in mathematics and five students who represent the target population. The results of the judges' evaluations attested to the Meta-Performance Test content validity, and the target population declared that both the battery understanding and taking are adequate. Contributions and future research perspectives of the Meta-Performance Test in the field of metacognition are discussed.

This study aims to develop a learning model based on 4C skills to improve high school students’ mathematical critical thinking skills. Research & development is the design used in this research by applying Plomp’s development theory which consists of three phases, namely needs analysis, design and implementation, and evaluation. This research was conducted at Madrasah Aliyah Negeri 2 Parepare, South Sulawesi, Indonesia involving five experts, four teachers, and 20 students. Data collection and analysis were carried out qualitatively and quantitatively. Analysis of interviews’ data and observations qualitatively with the thematic analysis technique. We also analyse data from validation sheets, questionnaires, and mathematical essay tests with the help of SPSS 20.00. The results show that students and lecturers need a learning model to improve mathematical critical thinking skills. In addition, other findings stated that the learning model developed was proven to be valid, practical, and effective to be used in general. Developing your learning model can further improve students' learning outcomes and mathematical critical thinking skills because they are designed based on the actual needs and problems. For this reason, a teacher must be able to design his learning model.

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 this study was to establish the factor structure and dimensionality of the Metacognitive Orientation Learning Environment Scale – Science (MOLES-S) in the Thai context. The metacognitive orientation of a science classroom learning environment is defined as the extent to which psychosocial conditions that are known to enhance students’ metacognition are evident in a specific science classroom. This study builds on earlier work in the research areas of science education, metacognition, and learning environments. A sample of 5418 Thai science students in grades 10 to 12, from 40 schools across Thailand, completed the MOLES-S that had been translated into Thai. Exploratory factor analysis was undertaken and Rasch analysis was used to calibrate the scale and explore its dimensionality. The results suggest that the MOLES-S(T), where (T) represents Thailand, has the same factor structure as the original MOLES-S, is reliable, and can be used with confidence in research into metacognition in Thai high school science classrooms.

This study aims to develop a schoolpreneur model appropriate for Malaysia's secondary school environment. The current study surveyed students participating in the Program Tunas Commerce (PROTUNe) and the Young Entrepreneurs Association (PUM) in the states of Perak, Selangor, and Negeri Sembilan to accomplish these purposes. A survey-based technique was used to collect data, and 400 students participated. With a cross-sectional research design, this research uses a quantitative research methodology. This research employed exploratory factor analysis (EFA), confirmatory factor analysis (CFA), and structural equation modeling (SEM) for statistical analysis. The study's findings show that six highlighted factors can be incorporated to develop a schoolpreneur model. These factors all significantly affect the schoolpreneur model. A significant correlation of the schoolpreneur model of more than 60% indicates the significance of talent skills, mentors, incubators, individual personality, role models, and family background in the development of the schoolpreneur model. As a result, secondary schools can conduct entrepreneurial activities better due to the development of the schoolpreneur model.

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.

Private universities in Indonesia need to urgently enhance the lecturers' organizational citizenship behavior (OCB), especially in overcoming a transition period of learning patterns after the COVID-19 pandemic from online to offline. Therefore, this research explores employability, personality, and talent management affect OCB and proves job involvement mediates employability, personality, and talent management influences OCB. It was conducted through a survey using a Likert scale questionnaire with 230 participants of lecturers from Indonesian private universities. Path analysis supplemented by descriptive and correlational analysis was used as a data analysis technique. The results showed that employability, personality, talent management, and job involvement significantly affect OCB. In addition, job involvement mediates employability, personality, talent management influences OCB. Therefore, a new empirical model regarding employability, personality, and talent management affect OCB with job involvement mediation was developed. Accordingly, researchers and practitioners can utilize for the model in their future activities.

Teacher well-being is a stimulating topic frequently appearing in studies over long periods. Teachers are typically exposed to stress that, when addressed, can lead to low morale and positively impact their work. This study examined the relationship between job satisfaction and well-being among preschool teachers in Selangor. We used a quantitative research method and correlational research design to test the hypotheses and answer the research questions. The current study involved 977 government preschool teachers selected using a cluster random sampling method. After data cleaning, a data set of 610 respondents was used for this study. This study used exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) using AMOS for data analysis. SEM Analysis showed that job satisfaction positively influences teachers' well-being. However, our results also showed that the subconstruct of job satisfaction with students did not significantly influence preschool teachers' well-being.

This study investigated the influence of CThink4CS² Module on computational thinking (CT) skills of form four chemistry students. The CThink4CS² Module integrated CT with the Engineering Design Process (EDP) in chemistry class. This study utilized quantitative research methods and quasi-experimental design. Quantitative data were collected using the Computational Thinking Skill Test (CTST) which consisted of algorithmic reasoning, abstraction, decomposition, and pattern recognition constructs. A total of 73 students were in the treatment group (n=39) and control group (n=34). Experimental data were described by means of descriptive analysis and inferential analysis employing two-way MANOVA analysis. The results of the analysis indicated significant differences in CT skills between groups; students in the treatment group demonstrated better results compared to those in the control group. The paper provides insight into the integration of CT and EDP as effective pedagogical strategies for inculcating CT skills.

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 review article presents an analysis of the literature on environmental literacy in sustainable development. By utilizing techniques to examine multiple documents published between 2013 and 2023, including citation analysis, co-authorship analysis, subject area analysis, and keyword analysis, this study aims to provide valuable information and insights into the research landscape surrounding environmental literacy and its contribution to promoting sustainable development. A systematic search was conducted to gather several scientific articles, conference papers, and publications from the Scopus database from 2013 to 2023. The findings of this analysis shed light on authors, influential institutions, and active research groups that contributed to the study of environmental literacy and sustainable development. This comprehensive review offers an understanding of the state of research in this field while identifying areas for further exploration and research gaps. The insights gained from this study can be highly beneficial for researchers, policymakers, and practitioners seeking to advance knowledge and take action toward promoting literacy's role in sustainable development. This analysis is a foundation for advancing our understanding of literacy's significance while emphasizing its vital role in sustainable development efforts.

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.