Three methodological approaches were applied to understand the role of interest and self-efficacy in reading and/or writing in students without and with persisting specific learning disabilities (SLDs) in literacy. For each approach students in grades 4 to 9 completed a survey in which they rated 10 reading items and 10 writing items on a Scale 1 to 5; all items were the same but domain varied. The first approach applied Principal Component Analysis with Varimax Rotation to a sample that varied in specific kinds of literacy achievement. The second approach applied bidirectional multiple regressions in a sample of students with diagnosed SLDs-WL to (a) predict literacy achievement from ratings on interest and self-efficacy survey items; and (b) predict ratings on interest and self-efficacy survey items from literacy achievement. The third approach correlated ratings on the surveys with BOLD activation on an fMRI word reading/spelling task in a brain region associated with approach/avoidance and affect in a sample with diagnosed SLDs-WL. The first approach identified two components for the reading items (each correlated differently with reading skills) and two components for the writing items (each correlated differently with writing skills), but the components were not the same for both domains. Multiple regressions supported predicting interest and self-efficacy ratings from current reading achievement, rather than predicting reading achievement from interest and self-efficacy ratings, but also bidirectional relationships between interest or self-efficacy in writing and writing achievement.  The third approach found negative correlations with amygdala connectivity for 2 reading items, but 5 positive and 2 negative correlations with amygdala connectivity for writing items; negative correlations may reflect avoidance and positive correlations approach. Collectively results show the relevance and domain-specificity of interest and self-efficacy in reading and writing for students with persisting SLDs in literacy.

The purpose of this research is to assess the sports and socialization of the students studying in different sports branches in Gumushane University. “Socialization- Sports and Socialization Scale” developed by Sahan was used in this research. A total of 742 students composed of 316 females and 426 males studying in Gumushane University participated in this survey modelled research. Data obtained were evaluated in SPSS package program. Reliability coefficient of the scale was found to be 0.896. T-Test, Kruskall Wallis and Anova were used in statistical assessment of data. Pearson Product-Moment Correlation analysis was used to determine whether there was a significant relation between socialization and sports-socialization scores and the causal relations between two variables were tested with simple linear regression analysis. The study was analyzed in terms of certain variables and it was concluded that the variables of gender, age, place of residence and type of sports done by the participants didn’t make a difference on sports-socialization and socialization scores. It is also observed that there is a positive and significant relation between the variables of socialization and sports-socialization (r= .624, p<.01). In other words, it can be stated that the higher the socialization scores of the participants are, the higher their sports-socialization scores become, accordingly.  

The aim of this study has been to identify school managers’ leadership styles and levels in terms of teachers’ perceptions. The focus of the study includes primary, secondary and high schools in Şahinbey and Şehitkamil districts of Gaziantep. In the study, the selection of the sample, which consists of 228 teachers, was carried out by using the disproportionate cluster sampling method. The data have been collected via change leadership scale and multi-factorial leadership scale. For analysis of data Pearson Correlation coefficients have been used. According to the research results, teachers believe that among the multi-factorial leadership styles their managers show mostly transformational, transactional and change leadership behaviors, while they show laissez-faire leadership behaviors less frequently. It was also found out that there is a moderate relation between transformational and change leadership styles; a low-level weak relation between transformational and transactional leadership; and a low-level relation between transformational and laissez-faire leadership. On the other hand, there is a respectively low and meaningful relationship between change leadership and transactional leadership; a negative and very low relationship between change leadership and laissez-faire leadership. Finally, a low level relation has been detected between transactional leadership and laissez-faire leadership.

The purpose of this study was to investigate a predictive power of prospective teachers’ self-efficacy sources on their teaching self-efficacy and attitude towards the teaching profession. Design of the study was the correlational research. The study was conducted on 315 prospective teachers studying pedagogical formation education in a 2017-18 academic year. Instruments were “Prospective Teachers’ Self-Efficacy Sources Scale”, “Teaching Self-Efficacy Scale” and “Attitude Scale of Teaching Profession”. Pearson Product Moment Correlation Coefficient and PATH analysis methods were used to analyze the data. Results indicated that emotional states, mastery experience, and verbal persuasion were significant predictors of prospective teachers’ teaching self-efficacy and attitudes towards teaching profession. 

There has been an increased interest in L2 learners’ motivation and autonomy over the past several decades, and both variables are recognized as characteristics of successful language learners. The L2 motivational self system (L2MSS) is a recent approach to L2 motivation research that sheds light on many aspects of a language learners’ self. Additionally, autonomy is known to promote long-term foreign language learning success. Understanding these measures and what variables influence them can help educators determine how to best help their students achieve success in language learning. This study examines Taiwanese university students’ ideal L2 selves and autonomy as measured on questionnaires. This study seeks to examine whether any differences exist between Taiwanese students who attended normal, comprehensive, or vocational high school programs in Taiwan. The results show that while differences exist and several of the L2MSS and autonomy variables are strongly correlated, there are no significant differences between students in these three groups. The results suggest that there may be other variables not measured in this study which do have an impact on a learners’ L2MSS and/or autonomy.

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.

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.

The study's goal was to examine the correlation between the computer programming self-efficacy and computational thinking skills of gifted and talented students. The capacity of the computer programming self-efficacy of gifted and talented students to predict their computational thinking skills were also examined. The relational screening model has been implemented in the research. The participants of the study were composed of 106 secondary school gifted and talented students studying the Individual Ability Recognition Program (IAR) at the Science and Art Center in the city center. Typical case sampling was applied for the student identification of the participants, 46 are female and 60 are male. Gifted and talented students' computational thinking skills were assessed using the "Computational Thinking Skills Scale” and the computer programming self-efficacy was measured by using the "Computer Programming Self-Efficacy Scale". Data were analysed by Pearson correlation analysis and simple linear regression analysis in statistical software SPSS 22. Research results found that there was a positive and high correlation between the computer programming self-efficacy and computational thinking skills. The gifted and talented students' computer programming self-efficacy demonstrated 31.5% of the total variance in computational thinking skills. This finding supports the claim which is present in the literature that self-efficacy in computer programming is the affective aspect of computational thinking skills. To predict computational thinking skills, it may be recommended to build multiple models for cognitive and affective skills of gifted and talented students.

A new index of item discrimination power (IDP), dimension-corrected Somers’ D (D2) is proposed. Somers’ D is one of the superior alternatives for item–total- (Rit) and item–rest correlation (Rir) in reflecting the real IDP with items with scales 0/1 and 0/1/2, that is, up to three categories. D also reaches the extreme value +1 and ‒1 correctly while Rit and Rir cannot reach the ultimate values in the real-life testing settings. However, when the item has four categories or more, Somers’ D underestimates IDP more than Pearson correlation. A simple correction to Somers’ D in the polytomous case seems to lead to be effective in item analysis settings.  In the simulation with real-life items, D2 showed very few cases of obvious underestimation and practically no cases of obvious overestimation. With certain restrictions discussed in the article, D2 seems to be a good alternative for these classic estimators not only with dichotomous items but also with the polytomous ones. In general, the magnitudes of the estimates by D2 are higher than those by Rit, Rir, and polychoric correlation and they seem to be close of those of bi- and polyserial correlation coefficients without out-of-range values.

Within the scope of the research, which aims to determine the leisure literacy and leisure exercise levels of the university students who volunteer in sports organizations, it is aimed to analyze the relationship and the differences of certain variables with measurement tools, as well as to examine the relationship and impact between leisure literacy and leisure exercise. In this context, 207 sports organization volunteers who participated in the study participated in the data collection, as well as a demographic information form, as well as the “Leisure Literacy Scale” and “Leisure-Time Exercise Scale" was used. In this study, the internal reliability coefficient for the Leisure literacy scale was .94 and .70 for the leisure exersice questionnaire. Descriptive statistics, independent sample t test, one-way analysis of variance (ANOVA) test and Tukey (HSD-LSD) test and Pearson Correlation test and regression analysis were used for data analysis. The findings reveal that participants have high leisure literacy (81.25 ± 14.04) and men exhibit more active leisure exercise levels, certain variables change leisure literacy and leisure exercise levels. On the other hand, positive strong relationships between leisure literacy and leisure exercise were determined, and leisure literacy was found to have a positive effect on leisure exercise level. As a result of the research, it can be stated that the volunteer participants who take part in sports organizations and evaluate their leisure time actively, the literacy knowledge, background and action level for their leisure time is an important factor that makes individuals spend their leisure by exercising.

The purpose of this study is to investigate the effect of Personalized Book Advice Smart Application on secondary school students’ motivation as well as determining the views of students, teachers, and parents regarding the application. In the research, a mixed method approach, in which quantitative analysis and qualitative analysis methods are used together, was adopted. In the quantitative part, 585 secondary school students, 300 of whom are in the experimental group and 285 in the control group; In the qualitative part, 105 students, 6 teachers and 247 families were included in the research. Similarly, the qualitative of the study involved 105 students, 6 teachers, and 247 parents. In the quantitative part of the research, data collected with the Reading Motivation Scale developed by Durmus. In the qualitative part, the data were collected through a questionnaire. The quantitative data were analyzed using parametric descriptive statistics, while the qualitative data were analyzed using descriptive analysis technique. According to the findings obtained from the research, there is a significant difference in reading motivation of secondary school students in terms of post-test scores. It is seen that the students like to read adventure books and think that the books proposed by the application are suitable for their interests. Teachers state that they find the application successful, and they like that the application forms reading habits, and recommends books according to their interests, moreover, the recommended books are suitable for the students’ levels. On the other hand, the teachers think that teacher control is necessary. Additionally, parents state that they like the application because it recommends books according to the children’s interests and those recommended books were suitable for their levels, however, they added that the number of the books needs to be increased.

Although Goodman–Kruskal gamma (G) is used relatively rarely it has promising potential as a coefficient of association in educational settings.  Characteristics of G are studied in three sub-studies related to educational measurement settings. G appears to be unexpectedly appealing as an estimator of association between an item and a score because it strictly indicates the probability to get a correct answer in the test item given the score, and it accurately produces perfect latent association irrespective of distributions, degrees of freedom, number of tied pairs and tied values in the variables, or the difficulty levels in the items. However, it underestimates the association in an obvious manner when the number of categories in the item is more than four. Towards this, a dimension-corrected G (G2) is proposed and its characteristics are studied. Both G and G2 appear to be promising alternatives in measurement modelling settings, G with binary items and G2 with binary, polytomous and mixed datasets.

The aim of this study is to examine the motivation levels and future expectations of preservice teachers studying in Mathematics and Science Teaching Departments comparatively. The population of study consisted of preservice teachers studying at Mathematics and Science Teaching Departments at Education Faculties of Mehmet Akif Ersoy University and Akdeniz University. The sample consisted of 470 preservice teachers. In research, the correlational survey model was used. Research data were collected with "Adult Motivation Scale" and "Future Expectations Scale". In data analyzing, statistics package program was used. Accordingly, t-test was used for variables with two categories and One Factor Analysis of Variance (ANOVA) was used for more than two categories. Sheffe multiple comparison test was used if it was significant. Pearson Correlation was used to determine whether there is a significant relationship between preservice teachers' motivation levels and future expectations. According to analysis results, motivation levels of preservice teachers were found to be high. Likewise, it was concluded that preservice teachers' expectations for future were highly positive. In preservice teachers' motivation levels and expectations for future, gender, major, type of high school they graduated and major satisfaction they study were found to be effective.

The aim of this study is to investigate the relationship between the levels of occupational professionalism and occupational alienation in kindergarten teachers. Correlational survey model among the quantitative research models was used in the research. In this context, 224 kindergarten teachers were reached via convenience sampling model. The data of the research was collected via the Teacher Information Form, Teachers’ Occupational Professionalism Scale and Occupational Alienation of Preschool Teachers Scale. SPSS software and statistical measures such as independent samples t-test, ANOVA and Pearson’s Product-Moment Correlation were used to analyse the obtained data. According to the research findings, both occupational professionalism and occupational alienation levels of kindergarten teachers were found to be high. Levels of occupational professionalism and occupational alienation may differ according to some demographic variables among teachers. The relationship between occupational professionalism and occupation alienation was found to be statistically significant. The same is also true for the sub-dimensions of the scales. Lastly, the findings and results obtained during the research were discussed in the light of the literature and suggestions were made.

Teacher morale affects all aspects of the school and education system. Yet, the current status of teaching does not provide a rosy picture as teachers are reported to be demoralized and stressed. This qualitative study explored teachers’ experiences that influence their morale. The study was guided by the research question: How do workplace experiences affect teacher morale in selected primary schools? Qualitative data were gathered through six focus group interviews with 36 teachers in four primary schools and were analyzed using a content analysis framework. Data revealed that teacher morale was low. Participants identified school climate factors such as inappropriate professional development activities and violence as threats to their morale. Furthermore, a lack of parental involvement in the affairs of the school was regarded as a setback by teachers. This study highlighted specific issues that influence teacher morale and contribute to the understanding of the state of their morale. The study recommends that more attention is given to ensuring that teacher morale is enhanced for educational goals to be realized. Improving teacher morale has many benefits in that it helps teachers to maintain a positive attitude and be happy at work.

This research was aimed to determine the level of knowledge, skills and attitude of pre-service Mathematics teachers in Universiti Pendidikan Sultan Idris (UPSI) towards higher-order thinking skills (HOTS) and whether the elements of HOTS were translated into the teaching courses. The research was also designed to analyze the relationship between the pre-service Mathematics teachers’ exposure to HOTS through the teaching courses and their level of knowledge, skills and attitude towards HOTS. The study utilized a quantitative approach by administration of a survey to a simple random sample of 110 pre-service Mathematics teachers from UPSI. A questionnaire with five different parts was used as the research instrument with a reliability value of .979. The collected data were then analyzed using descriptive and inferential statistics. The descriptive statistics were used to determine the mean scores of the level of knowledge, skills and attitude among the pre-service Mathematics teachers, whereas inferential statistics using Pearson-r correlation was implemented to describe the relationship between the studied variables. The findings demonstrated that the knowledge and skills of pre-service Mathematics teachers towards HOTS were at a moderate level as opposed to their attitude and exposure to HOTS which were found to be at a high level. The data analysis using Pearson correlation illustrated a significant positive relationship with r = .727, r = .757 and r = .667 between the exposure to HOTS through the teaching courses and the level of knowledge, skills and attitude regarding HOTS of pre-service Mathematics teachers at UPSI, respectively. In conclusion, the research here indicates that pre-service Mathematics teachers in general, are positive towards the implementation of HOTS but they are lacking in terms of knowledge and skills. This research is useful in the field of Mathematics education as it can serve as a guidance to further enhance the knowledge, skills and attitudes especially for future Mathematics teachers in implementing HOTS effectively and improving the quality of the teaching program offered by the university indirectly.

This exploratory and descriptive study aims to theoretically promote the schema of pseudo-thinking processes in mathematical problem-solving by students. The participants in this study were 36 eighth graders and one math teacher. The researchers collected the data using tests and interviews. The results showed that the structure of pseudo-thinking based on the processes of assimilation and accommodation is theoretically composed of five hierarchical components, namely (a) the structure of the problem, (b) the structure of the subject's thinking, (c) the analytic process, (d) the integration of structures or substructures, and (e) the complete integration of structures. When the subject integrates incomplete substructures into existing thinking schemes, assimilation or accommodation becomes imperfect, resulting in cognitive disequilibrium. The results of such a thought process are called pseudo-thinking. Pseudo-thinking processes can be refined and improved into actual thinking processes through reflection and scaffolding. Assimilation and accommodation occur through defragmentation or organization to rearrange the internal schema so that full structural integration occurs. In the end, the subject experiences cognitive equilibrium so that it becomes an actual student thought process.