Purpose of this research is to determine the perception of value of national boxers who study in physical education and sports department in universities. The research was evaluated with semi-structured interview method which is one of the qualitative research designs. The research group consisted of 11 national boxers studying at Gazi University Faculty of Sport Sciences, Firat University Faculty of Sport Sciences, Selcuk University Faculty of Sport Sciences and Mustafa Kemal University School of Physical Education and Sports in 2016-2017 academic year. Data were accessed through the Personal Information Form (4 questions) and Semi-Structured Interview Form (3 questions) prepared by the researchers. In the analysis of the data, content analysis method was utilized. As a result, national boxers who received sports science education at universities had value perceptions such as discipline, gentlemanship, self-confidence, respect, cooperation, responsibility, empathy, health, ambition, systematic work, tolerance and protection from bad habits and they also do not tolerate discrimination, violence and doping.

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.

This paper sought to investigate the mathematics teachers’ reflection on the role of Productive Pedagogies’ framework in festering effective classroom instruction. Two research objectives were used to discuss the reflection of the four mathematic teachers. A qualitative case study was adopted as the design of the study. Classroom observations, Research Journal and Reflective Interviews were organised to collect data for the study, while the narratives approach to data analysis was used to analyse the data collected. From the study, the mathematics teachers were able to gradually adjust to the new framework through effective reflective meetings with their colleagues and with the support of the researcher. They (mathematics teachers) reflected that, the framework helps them developed confidence, positive attitude and interest to their teaching practice. It helped fostered effective collaboration and created an atmosphere of trust between the mathematics teachers and their students. The study also suggested that the pedagogy influence the mathematics teachers to provide and received feedback from their colleagues and from their students. They were also of the view that there was a gradual shift from the traditional teacher centred instruction they are more conversant with to a more student-centred pedagogy. The implication of the study suggests the need to adopt the Productive Pedagogies framework into the Nigerian mathematics classroom to improve mathematics teacher’s classroom instruction.

This study aimed to investigate whether Thai high school students’ perceived teacher support could enhance their reading ability through self-efficacy and sense of school belonging. The theoretical foundation of this study included the theory of social-motivational processes and social cognitive theory. Structural equation modeling was used for analysis and validation. The student questionnaire from the Programme for International Student Assessment (PISA) 2018 survey questions regarding teacher support, sense of school belonging, self-efficacy, and reading ability. The sample consisted of the data collected from the Thai students in the PISA2018 survey, with an effective sample size totaling 7968. The research results of the overall model showed that the perceived teacher support of Thai high school students’ had no direct effect on their reading ability, but their perceived teacher support had an indirect effect on reading ability through their self-efficacy and sense of school belonging. From the results can be seen that high school teachers in Thailand, in supporting and encouraging their students in learning, must simultaneously develop their perceived self-efficacy and sense of school belonging. Only thus can there be obvious help to their students’ reading ability.

Humans have had to immigrate from one country to another throughout the history because of economic problems, warfare, safety, etc. Warfare and migration definitely bring about traumatic incidents for all humanity. However, they are much more destructive for children. The current study aims to review the warfare-and-migration-themed drawings of the Syrian and Palestinian children living in Turkey as refugees in comparison to the Turkish children’s drawings. A case study design was employed as a qualitative methodology. 19 Syrian, 6 Palestinian and 25 Turkish children aged between 6-10 years studying in various primary schools in City of Istanbul made up the study sample. Children were asked to draw pictures of warfare and migration, observed and interviewed for data collection. Content analysis was used to determine the themes present in the qualitative data. The themes identified in the drawings were discussed referring to the literature and recommendations were made.

Digital storytelling has undergone extensive study in different content-areas, but its naturally-combined use with collaborative writing for skills development, and reflective practice remains underresearched in pre-service EFL teacher education. This study undertook joint tech-enhanced retelling of L2 texts by 56 Turkish EFL teacher candidates, rubric-based peer and teacher assessment of final products, comparative analysis of complexity, accuracy, and fluency (CAF) between outliers, and process evaluation using the significant learning taxonomy to explore impacts on L2 writing performance, academic learning, and personal growth. Despite assigning lower scores than the teacher-assessors, especially to the top-performers, the majority of peers successfully fulfilled the job, effectively performed the future reviewer role, and positively reacted to co-construction, and technology integration. CAF and reflection analyses indicated that the biggest difference between the highest- and lowest-scoring groups lay in grammatical accuracy, and lack of mutual interaction could account for the less cooperative group’s poorer performance. The classification of their post-task responses into six kinds of learning gains (foundational knowledge, application, integration, human dimension, caring, and learning how to learn) also revealed that their collaborative digital storytelling experience (CDS) elicited more procedural, critical, creative and practical thinking on the academic learning front, while disciplinary and integrative thinking may have declined due to more immediate preoccupation with task achievement. Their critical thinking was mainly organised around consensus-reaching, fluctuating membership, and logistical challenges, and most demonstrated a clear understanding of the role of positive group dynamics in group outcomes. Despite heightened awareness of the performance-boosting, character-forming, and motivational benefits of collective scaffolding and multimodal meaning-making, a minority could also discern the instrumentality of innovative teaching techniques in their future classroom practices.

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.

Shared leadership enables employees to develop positive feelings for their organizations and themselves. Especially, their devotional feelings and behaviours towards their organizations increase with the sharing of leadership. In this study, the shared leadership of the school and the organizational commitment levels of the teachers, their relationship with each other and the predictive status were examined. This study is a research within relational survey model. The data of the research were collected from 512 teachers in primary and secondary schools in Malatya districts of Turkey in the 2019-2020 academic year. The data were collected through the Shared Leadership Scale and the Organizational Commitment Scale of Teachers. For the analysis of the data, t-test, ANOVA test, correlation and regression analyzes were performed. According to the results of the research, shared leadership and organizational commitment levels in primary and secondary schools are high. There is a positively significant and moderate correlation between the shared leadership of the school and the organizational commitment of teachers. Shared leadership in primary and secondary schools positively and significantly predicts teachers' organizational commitment. For this reason, in order to increase the organizational commitment of teachers; it is important to create a sharing school life, in order to support teachers for the purposes of the organization and to include them in decision-making processes. According to the results obtained, it is recommended that young teachers with lower organizational commitment be given more duties, powers and responsibilities.

The aim of the present study is to examine the effect level of procrastination on academic achievement. To this end, a meta-analytic approach was applied and the studies published between January 2000 and May 2020 in Education Resources Information Center (ERIC) and Academic Search Ultimate databases were included in the study. The research was limited to articles examining the correlation between the variables and, accordingly, the correlation coefficient was specified as an index to identify the effect size. After reviewing 22 relevant studies with 8307 participants, the meta-analysis was conducted through Comprehensive Meta-Analysis (CMA) software. The findings revealed that the variables were negatively correlated with each other and the overall effect size of procrastination on academic achievement was found -0.61, which can be interpreted as the medium effect size. The findings of the study endorse the main tenets of theoretical framework regarding the aforementioned link.

This study was conducted to investigate prospective teachers' spiritual well-beings and life satisfactions in terms of specified variables. 298 students from various departments of universities participated in the study. The Spiritual Well-Being Scale developed by Paloutzian and Ellison, and adapted to Turkish by Eksi and Kardas, the Life Satisfaction Scale developed by Diener et al. and translated and adapted to Turkish by Koker and a Personal Information Form prepared by the researcher were used in the study. This study was a descriptive study based on survey model. The study data were subjected to normality tests and analyzed accordingly. Mann Whitney U Test, Kruskal-Wallis H Test and Spearman Rho correlation coefficient were used to analyze the data. Results of the study, indicated that spiritual well-being levels of prospective teachers significantly varied by gender, year of study, field of study and educational status of father. Life satisfaction levels of prospective teachers significantly varied by field of study. Furthermore, there was a moderate positive correlation between total score for spiritual well-being and life satisfaction.

Revision constitutes an important component of the writing process that integrates text interpretation, reflection, and production. Although previous studies have offered useful insights into the revision behaviour of L2 writers at different levels of proficiency using off-line measures, little is known about the online processes of revision. In this study, I used keystroke logging to investigate longitudinal changes in the revision processes of postgraduate and undergraduate students in the context of an intensive English for Academic Purposes (EAP) program. Twenty-five postgraduate and 14 undergraduate students participated in this study. The keystroke logging program Inputlog was used during two essay writing sessions at the beginning and at the end of the course to observe how the participants revise their essays and to get insights into their on-line writing processes. Keystroke logging data were coded in terms of the orientation and location of revisions. The results revealed that postgraduates produced more content-oriented revisions at the end of the programme than at the beginning. The opposite trend was observed for the undergraduates, who revised their essays significantly less frequently at the end than at the beginning of the EAP program and made more mechanical revisions than postgraduate writers. The findings highlight fundamental differences in the developmental trajectories of revision processes between postgraduate and undergraduate students. These differences caused by previous academic writing experience and language proficiency should be considered in developing materials for EAP programs. In the paper, I also discuss benefits of using keystroke logging to investigate L2 writers’ revision processes.

This study investigated the link between future L2 selves and Willingness to Communicate (WTC) in the classroom in the UK university context. We applied a mixed methods approach to collect data from 121 Chinese overseas students where a questionnaire was used before semi-structured interviews were conducted with six participants. Two key quantitative findings were: 1) There is a strong positive correlation between ideal L2 self and classroom WTC; 2) A student’s major moderates the relationship between the ought-to L2 self and classroom WTC. Students from non-English-related majors had a greater influence of ought-to L2 self on their WTC in the classroom, while ought-to L2 self does not seem to affect the WTC of English-related majors in the classroom. Follow-up interviews triangulated the quantitative findings with further illustrations in terms of the role of future L2 selves in stimulating WTC in the classroom and the potential differences between students with different academic backgrounds.

Today’s individuals are expected to have skills in many areas as a natural consequence of the advances that have been taking place in society and technology. Particularly in developed countries, these skills are also called 21^st century skills. Critical, creative and reflective thinking, problem solving and keeping up with the digital age (digital literacy) are some of these skills. Universities play a significant role in raising qualified individuals in our country. Updating the training programs, keeping up with the era and having a say in the digital world makes it a necessity for people who give education in these areas to be competent. From this point of view, this study aimed to explore the digital literacy levels of Turkish academics working in faculties of education and the perceptions of students towards technology integration competence of the academics. In this study, quantitative cross-sectional design was preferred. While selecting the participants, purposeful sampling method was used, and two different participant groups (academics and prospective teachers) were included in the process. Two scales with validity and reliability in the literature were used as data collection tools in the research. In the data collection process, firstly, a survey was administered to academics working in faculties of education, and then another one was conducted with prospective teachers. The results obtained were subjected to quantitative data analysis via SPSS 24 and AMOS 24 software, and descriptive and inferential statistics were generated. The results revealed that the variables of department, age and grade level created a significant difference in the digitalization of academics, whereas the gender variable significantly contributed only to the perceptions of prospective teachers.

Speaking is considered as a challenging skill to improve as it is a productive one which requires the learners to be unique and creative in the way they express themselves. Therefore, teaching speaking takes the attention of the researchers in the field of English language teaching. Therefore, the way “speaking” was integrated into the curriculum of a School of Foreign Languages in one of the state universities in Istanbul was investigated by the researcher to find out whether the speaking component of the program helped students improve their oral language proficiency and to learn both efficiency and sufficiency of it from the perspectives of the students as well as the instructors in that institution. For this purpose, eight students within the program were taken into five different speaking tests in five different weeks sequentially and were interviewed by the researcher afterwards. Additionally, six students who had taken this program of the school previously and were taking their departmental courses at the time of the study were also interviewed to give them the chance to reflect back on their past experiences as learners who applied the knowledge they had acquired from this school. Six different instructors working in this institution were also interviewed. One of them was also observed in her real class environment. Results showed that the program was found “efficient” in some aspects such as the importance given to “speaking” but there were some points that needed consolidation just like the materials.

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 purpose of the study is to examine pre-service teachers' impromptu speaking skills on the basis of the evaluations of the instructor, peers and their own. The study employed a descriptive case study design, one of the qualitative research methods. A total of 23 pre-service math teachers taking the course of Art of Effective Speech in a state university in Turkey in the 2016-2017 academic year participated in the study. The data of the study were collected through the observations of the researcher and pre-service teachers. Descriptive analysis was used in the analysis of the data. As a result of the study, it was found that in most of the observation items, the pre-service teachers found themselves inadequate in terms of impromptu speaking skills while they were found to be adequate by their peers and instructor. In addition, it was revealed that the pre-service teachers found themselves inadequate in some items related to the use of voice while they found themselves adequate in most of the items related to articulation/diction and body language and in all of the items related to communication. However, while the instructor observed that the pre-service teachers were generally competent in all the sub-dimensions, she determined that they needed improvement in the sub-dimensions of eye contact, pausing at the appropriate place and speaking without repeating words.  

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.