In this study, it was aimed to find out the characteristics of inspiring teachers who inspired teacher candidates to do teaching profession properly. In the study, “An Exploratory Sequential Design” a mixed method where qualitative and quantitative approaches are used concomitantly, was employed to determine the inspiring teacher characteristics. In this design, two steps were respectively followed by the researcher. In the first step grounded theory research design as a qualitative research design was used and in the second step survey research model as a quantitative research design was used. Inspiring Teacher Scale (ITS) was developed by the researchers to collect the data. In the second phase, the study group was extended to continue the quantitative studies. Exploratory and confirmatory factor analyses were used first to analyze the data. The results of analysis have demonstrated that the items loaded on four factors, which reflect inspiring teacher characteristics as “teacher communication”, “personal characteristics”, “professional development” and “supporting students in different ways”. Findings suggest that ITS, which has four-factor structures with 36 items, can be suggested as a valid and reliable instrument to determine the characteristics of inspiring teacher. Therefore, in this study the characteristics inspiring teachers were specified according to opinions of teacher candidates and presented to be o model for teacher candidates.

The aim of the study is to examine the pre-service teachers’ problem solving skills and curiosity levels according to different variables and to determine whether there is a relationship between them. The research was designed as a descriptive study in the survey model. The sample of the study consists of 1st and 4th grade pre-service teachers in the departments of German, Science, English, Mathematics, Music, Pre-school, Painting, English, Mathematics, Turkish Language Teaching at a university in Turkey. “Curiosity Scale” adapted into Turkish by Demirel and Diker Coskun, “Problem Solving Inventory” adapted into Turkish by Sahin, Sahin and Heppner  and “Personal Information Form” prepared by the researcher were used as data collection tools. In the analysis of the data obtained, SPSS-Windows 22.00 package program was used and descriptive statistics and parametric tests were applied in accordance with the sub-problems of the study. In addition, a correlation analysis was conducted to determine whether there was a relationship between pre-service teachers’ problem solving skills and curiosity levels. Based on the findings, suggestions about the problem solving skills and curiosity levels of the prospective teachers were presented.

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.

Pearson product–moment correlation coefficient between item g and test score X, known as item–test or item–total correlation (Rit), and item–rest correlation (Rir) are two of the most used classical estimators for item discrimination power (IDP). Both Rit and Rir underestimate IDP caused by the mismatch of the scales of the item and the score. Underestimation of IDP may be drastic when the difficulty level of the item is extreme. Based on a simulation, in a binary dataset, a good alternative for Rit and Rir could be the Somers’ D: it reaches the ultimate values +1 and –1, it underestimates IDP remarkably less than Rit and Rir, and, being a robust statistic, it is more stable against the changes in the data structure. Somers’ D has, however, one major disadvantage in a polytomous case: it tends to underestimate the magnitude of the association of item and score more than Rit does when the item scale has four categories or more.

Contemporary studies related to teacher autonomy mostly deal with research into how autonomy is perceived by teachers and which variables it is associated with. On the other hand, there are very few studies dealing with how teachers’ instructional autonomy over the curriculum is reflected in the education process. The aim of this study is to reveal in depth the practices carried out in the context of instructional autonomy by science teachers who have different levels of autonomy. The study is based on data gathered from eight teachers employed at different schools in the province of Izmir in Turkey. Interviews, observations and documents were used for collecting the data. The results reveal that while teachers with high instructional autonomy successfully apply contemporary teaching methods, alternative evaluation techniques, high-order thinking skills and effective classroom management, teachers with low instructional autonomy fall short in all of these areas.

This research aims to develop the product of the life skill education program (LSEP) which is accurate, credible, and effective. This research used the Plomp model. The model covers the input, process, output, outcome and consists of instrument, scoring guidance, and good or bad criteria. The instruments used in the model are the questionnaire, observation sheet and interview guide. The content validity of the questionnaire and observation sheet was proved by expert judgement and continued by using the Aiken Formula, the construct validity of the questionnaire was proved by the construct validity using the exploratory factor analysis (EFA) and confirmatory factor analysis (CFA). The content validity of the questionnaire and observation sheet involved 9 validity experts. The questionnaire construct was done in two steps; the first step involved 65 students analyzed using EFA and the second step involved 199 students analyzed with CFA. The reliability of the observation sheet and questionnaire was estimated by using the Cronbach Alpha technique. The result of the trial model and its analysis shows that all the instruments are good. LSEP model is tested by involving 15 students in the course and training institute. The result of the trial model shows that the model is effective because the users explains that the model is: a) comprehensive, covering many components and sub component programs such as the input, process, output, outcome, b) practical, simple and easy in usage, c) economical, not needing much cost, energy, and time, also d) supported by valid and reliable data collection instrument.

Work environments are pivotal to teachers’ professional development. However, effective instruments assessing teachers’ perceived work context are still lacking. The principal aim of the present study was to validate a Work Environments Inventory for Teachers (WEIT) constructed using the Job Demands-Resources (JD-R) model. Two studies were implemented on two independent samples totaling 696 (232 for Study 1 and 464 for Study 2) schoolteachers in Mainland China. Both exploratory and confirmatory factor analyses were employed to cross-validate the WEIT. The external construct validity of the WEIT was estimated through investigating its connection with the Thinking Styles in Teaching Inventory. Findings indicated that the WEIT is an adequate measure to map the characteristics of work environments for schoolteachers. Limitations are discussed and implications for future studies are suggested.

Higher education institutions around the world had to implement an emergency remote education (ERE) modality due to the COVID-19 pandemic. This study aimed to determine the individual and relational factors that affect the perception of learning in engineering, education, and health students during emergency distance education. Through a quantitative, non-experimental, and correlational study, an online survey was administered to a sample of 929 higher education students regarding their ERE experience. They were surveyed regarding their perceived learning, empathy, classroom interaction, self-regulation of learning, positive agency, student engagement, learning approaches, and use of digital resources. Data was analyzed using quantitative methods, namely correlations, comparisons of means and a linear regression analysis. Education students showed a more positive perception of learning, used a deep learning approach, and rated more positively the empathy shown by their professors and the possibilities for class participation than other students. Engineering students had the lowest scores on perceived learning and on almost all other variables. In general, students with a better perception of learning presented a higher engagement in their studies and a lower use of surface learning approach.

Social identity is an important social determinant of student outcomes such as mental health and well-being. Currently, no validated social identity measures exist for adolescents in secondary school settings. A new ‘Adolescent Social Identity’ measure was developed by adapting two social identity dimensions from a validated reputation enhancement scale. The Social Identity Measure comprises two scales of 10 items each to measure how adolescents think their peers view them (e.g., reputational status) in terms of their conforming and nonconforming behaviour (Self-perception of Public Self) and how adolescents would ideally like to be viewed (Ideal Public Self) by peers. Exploratory and confirmatory factor analyses were conducted along with assessments of reliability, validity, and measurement invariance. Conforming and Nonconforming subscales for both scales were shown to be reliable, valid, and invariant across age and gender groupings. There were significant but small differences in the latent means for gender.

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.

Knowledge-based economy is an economic model students need to be prepared for a future economic model that uses knowledge as its main resource. Therefore, this study developed and validated instruments for constructing knowledge-based economy readiness among undergraduate students. This study used an online questionnaire with 120 respondents of economic education students in educational universities in East Java, Indonesia, for exploratory factor analysis and 417 respondents for confirmatory factor analysis. Then, statistical analysis was conducted using exploratory factor analysis in SPSS and confirmatory factor analysis in AMOS. This study first developed five factors of knowledge of economics, readiness for economic challenges, readiness for education, readiness for infrastructure, and readiness for innovation, consisting of 27 items. However, one item was removed because the loading factor was below .50. Consequently, 26 items were retained because the loading factor was significantly greater than .50. The Cronbach's alpha value for each item of the knowledge-based economy readiness construct was >.60 and met all goodness of fit index criteria, which means that it meets the requirements and can measure the construct of knowledge-based economy readiness. Since this study meets the validity and reliability requirements of the constructs leading to knowledge-based economy readiness, these results will help students prepare for the current and future knowledge-based economy. They can be used in developing economic education curricula in higher education.

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.

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.