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.

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.

In this study in which case study – one of the qualitative research methods - was used, it was aimed to assess the effects of covid-19 pandemic on preschool education by teachers. Preschool teachers working in 14 provinces where the number of cases is high form the universe of the study. Sample group is 140 teachers in total. So as to get data for the study, survey questions prepared by the researcher and submitted to expert opinion and structured interview forms were used. The findings of the study are as follows: preschool children had feelings of anxiety, fear and longing all together during this process and they wanted to return to their schools as soon as possible. Similarly, most of the teachers were highly concerned and worried. The teachers attended online educations related to their professional development during the process of staying home. Before Covid-19 came to Turkey, the schools did not take any measures; then, when distance education started, all schools were disinfected, the materials and toys in the classrooms were put aside after disinfection. Distance education process was quite difficult in preschool education; all the teachers taught in line with their own initiatives. During this process, while the activities most preferred by the teachers were games and art activities, the activities having pandemic theme were experiments and dramas about hygiene. Distance education increased parent participation to preschool education and this had a positive effect on parent-child interaction. In the distance education process, by establishing platforms intended for preschools, suggestions to make more and professional activities, to have common actions in cooperation with schools and to train parents were made.

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 paper investigated how puppetry could be used to improve the standards of early childhood science education. This study determined the effect of a puppet-making and puppetry workshop on preservice preschool teachers’ beliefs and attitudes towards science education and looked into their experiences during and after puppet-making. Although participants faced some difficulties during the workshop, they developed numerous socioemotional skills. Puppetry activities can help preservice teachers learn how to deliver child-centered, stimulating, and interactive classes. Using puppets in early childhood science education can help teachers develop positive attitudes towards science and offer students high-quality, engaging, and creative activities.

The research aims were to examine the relationship among psychological resilience, patience, and happiness levels of physical education teachers employing in İzmir, Afyonkarahisar, and Muğla provinces in the Aegean Region and was to explain whether psychological resilience and patience levels predict happiness. The research was a descriptive study in the relational scanning model. The study participants consisted of 336 PE teachers, 182 (54.2%) were males, and 154 (45.8%) were females.. The data were obtained using the Brief Resilience Scale (BRS), Patience Scale and Oxford Happiness Questionnaire. In the analysis of data were used SPSS 25 statistical program. The analysis of the data descriptive statistics, correlation, and statistical regression methods were used. As a result of the research, it was determined that the psychological resilience, patience, and happiness levels were at medium levels according to the average score the PE teachers got from the scales. It was found that there is a moderate positive relationship between PE teachers' psychological resilience, patience, and happiness levels, and psychological resilience and patience levels are a significant predictor of happiness.

In modern times, the importance of education cannot be overstated. Beyond the acquisition of knowledge, perhaps the most important aim of education may be the development of character in individuals, including vitality, courage, sensitiveness, and intelligence, from which our society may experience increased prosperity, peace, and freedom. In this paper we address the daunting challenge of achieving successful, widespread, and inclusive university education. How do we enliven and engage the students in our classrooms? How can we help each and every student in the class self-actualize and reach the highest potential for learning? Active learning is one well-established and potent solution for accelerating the accumulation of knowledge. In this paper, an experiment in active learning utilizing team-based adaptive online quizzes in an introductory math finance course involving 378 undergraduate students over two years is conducted to explore the potency of this active learning methodology compared to a control group with traditional teaching. We find active learning unambiguously improves knowledge accumulation in the individual students, while simultaneously bolstering inclusive excellence across all students in the class, as measured by a relevant and meaningful quantitative metric. The paper concludes with a discussion comparing the quality of active vs. traditional teaching methods and offers interpretations of the quantitative results. The results of this paper support the widely accepted theme in the literature that active learning has a positive effect on student performance in STEM (Science, Technology, Engineering, and Math) courses.

The aim of the research was to investigate the relation between middle school students' perceptions of school climate and school motivation, whether school climate perceptions have a significant power on school motivation as well as to see if those perceptions and motivation differ significantly depending on gender, grade level, and school location variables. The sample of the study consisted of 674 middle school students studying in two state schools, which were located in the central district and village in Kosk province in Aydin in Turkey. Data were collected by using School Climate Perceptions Scale and School Motivation Scale with three questioned personal information form. Results showed that there were significant medium-level correlations between school climate perceptions and school motivation of middle school students. While grade-level variables had significant differences in both school climate perceptions and school motivation of middle school students, the location did not create a difference. On the other hand, gender had a significant difference only with school motivation. Finally, the model tested student-teacher relation significantly predicted 18% of the school motivations of middle school students.

This study aimed at investigating the outcomes of the cooperation practices, which were utilized to enhance the quality of work-integrated learning at Nong Khai Technical College. The investigation covered the following three aspects: 1) the changes that had arisen from the development of specified indicators; 2) the learning that occurred, and 3) the body of knowledge, which had been obtained from the practice. A participatory action research methodology was adopted during two semesters. There were 19 teachers and 30 students involved in the project. The results of the study revealed three key features. Firstly, the post-practice evaluation in both the first and the second cycles was higher than in the pre-practice evaluation. Secondly, the researcher, research participants and the college learned from various issues of the practice. This learning included gaining an awareness of the importance of collaborative work, the importance of studying the theoretical perspective in order to enhance the existing knowledge and experiences, and the importance of planning, practice, observation, and reflection in comprehensive work. Finally, the knowledge gained was found to correlate with Kurt Lewin's Force-Field Analysis which consists of the following elements: 1) expected change, 2) driving factors for change, 3) resistance to change, and 4) overcoming resistance.

Individuals’ engagement with reading and maintaining it depends on personal motivations. Having a multidimensional structure, reading motivation is affected by intrinsic factors. Studies on reading motivation can make a significant contribution to identifying students’ intrinsic motivation profiles closely, encouraging them to read, and increasing their reading engagement. The present study aimed to determine the individual and socioeconomic variables predicting middle school students’ intrinsic reading motivations. Employing the predictive correlational design, the study was carried out with 459 students attending six different public schools in the city of Sanliurfa. The participants were determined by stratified purposeful sampling method. The study data were collected by the Intrinsic Reading Motivation Scale and the Personal Information Form. According to the hierarchical regression analysis results, all the models constructed in the study were significant. All of the variables explained the intrinsic reading motivation with a 22% variance explanation percentage. As a result, it can be said that the change observed in intrinsic reading motivation variance mostly stemmed from reading engagement (ΔR²=.12), family (ΔR²=.07), demographic characteristics (ΔR²=.03), and school (ΔR²=.01), respectively. It can be stated that the predictors of the intrinsic reading motivation determined in this study should be taken into consideration by educators.

This study aims to produce empirical evidence of the validity and reliability of instrument items for the competency framework of agricultural teaching staff in Malaysian agricultural vocational colleges. The validity and reliability of the framework were analyzed using Rasch Model Measurement assisted by Winsteps 3.72 software. This research instrument contained 116 items, which was distributed to 30 instructors at the Teluk Intan Agricultural Vocational College, Malaysia. The selection of respondents was made by strata random where the researcher makes the strata of the population according to the percentage and then selects randomly based on the desired percentage. Validity analysis of the instrument was done through four functional testings. For reliability and separation of respondents, it was found that the individual reliability value was very good and acceptable. The results of the item polarity analysis detected no negative value (-) in the Point Measure Correlation value. Item matching analysis found that 11 items had to be dropped as they failed to meet the required conditions. From the analysis on local dependence that determines dependent items based on the standardized residual correlation value, it was discovered that the correlation value for the items used was detected; 13 items need attention. The results of the data analysis checking the functionality of the items suggested that some items should be dropped. The omission of these items has provided evidence that the instrument of competence of agricultural instructors is crucial to have a high level of validity and reliability for use in actual studies.

This article introduces the concept of the carrying capacity of data (CCD), defined as an integrated, evaluative judgment of the credibility of specific data-based inferences, informed by quantitative and qualitative analyses, leavened by experience. The sequential process of evaluating the CCD is represented schematically by a framework that can guide data analysis and statistical inference, as well as pedagogy. Aspects of each phase are illustrated with examples. A key initial activity in empirical work is data scrutiny, comprising consideration of data provenance and characteristics, as well as data limitations in light of the context and purpose of the study.  Relevant auxiliary information can contribute to evaluating the CCD, as can sensitivity analyses conducted at the modeling stage. It is argued that early courses in statistical methods, and the textbooks they rely on, typically give little emphasis to, or omit entirely, discussion of the importance of data scrutiny in scientific research. This inattention and lack of guided, practical experience leaves students unprepared for the real world of empirical studies. Instructors should both cultivate in their students a true respect for data and engage them in authentic empirical research involving real data, rather than the context-free data to which they are usually exposed.

An empirical investigation of elementary school teacher candidates on classification activities dealing with animate and inanimate objects in terms of being living or non-living demonstrates that as the size of the objects increases, subjects are more likely to classify them correctly as either being an animal or having living characteristics. Despite a variety of misconceptions having an impact on the results, size magnitude is shown to play a significant role on proper classification. The subjects’ performance on these activities at an advanced stage of their preparation suggests that their factual and procedural knowledge are deficient due to a lack of opportunities for conceptual development of the items tested. The identification of the role of size on the proper classification of objects in the activities bears significantly on the science curricular structure at the elementary school level. As the results of this study indicate, both pre-service elementary school teachers and by extension their prospective students need longer practice dealing with living and non-living classification activities, particularly in tasks where the microscopic features of matter can be investigated so that the proclivity to regard size as the defining characteristic is effectively addressed.

The article focused on the use of assessment for learning in promoting active learning and learner participation in mathematics. Assessment for learning (AfL) has been found to enhance learning and improve performance. However, teachers’ use of AfL to enhance active learning has not been clearly outlined. This study is part of the broader research study that explored mathematics teachers’ use of AfL to enhance mathematics teaching and learning in primary schools in Alexandra Township, Johannesburg. A case study research-type and a qualitative approach were used to collect data from mathematics teachers. Nine teachers were purposefully selected from whom data were collected using semi-structured interviews and non-participant observation. The findings revealed that teachers had limited pedagogical knowledge in using AfL to promote active learning in their classrooms. They failed to apply a learner-centred approach that promotes effective learner participation in mathematics classrooms. Therefore, it is recommended that teachers undergo ongoing continuous development on classroom time management and planning for the effective use of AfL.

Science literacy, which is included in Programme for International Student Assessment (PISA) as an assessment area, is an important research and discussion area of science education literature with all its dimensions. In this study, the clustering results of the students from 34 Organization for Economic Cooperation and Development (OECD) countries participating in the PISA 2015 test and sampled by systematic sampling method are obtained by K-Means Clustering and Two-Step Cluster Analysis using the factor scores and PISA science literacy average scores. It is thought that the study is of great importance in terms of dividing individuals into clusters according to science instruction methods and the mean of plausible values and having an idea about how each cluster is defined. As a result of the K-means cluster analysis, it was determined that the input variable with the highest level of importance in the formation of the first and third clusters in which the students with the highest scores were included was teacher-directed science instruction, and after this variable, the input variable with the highest level of importance was the perceived feedback from science teachers. Within the scope of the Two-Step Clustering Analysis, it was determined that teacher-directed science instruction has the most importance in terms of the decomposition of clusters, followed by adaptive instruction in science lessons in terms of importance level.

The study aims to analyze, in terms of content and process, the math talks between the mother and child during the shared book reading of the illustrated storybooks with math contents. The study group under the research is comprised of nine pairs of mother and child. The process of the study 18 videos which were recorded when two storybooks with math contents were read by the mothers. In the data collection process, each pair of mother and child together read two storybooks given to them in their home environment, and the entire process was video-recorded. Subsequently, interviews were held with mothers for identifying their views about supporting their children’s math skills. It was shown that the content of mother-child math talks in the home environment was mostly about the learning area of numbers and counting skills. It was a remarkable result that math concepts such as sorting/ranking and properties/features of objects were not in the contents of mother-child math talks. The results from interviews with mothers, it was inferred that the mothers viewed themselves as inadequate for talking to their children about math concepts, and performed the math talks mostly on the basic skills such as counting the numbers.

In this article, we present some core ideas underpinning research that takes a Designs for Learning (DFL) approach guided by theoretical considerations and choices, as well as by practitioners’ challenges and inquiries. These choices shape, and are shaped by, DFL’s research goals and motives, theoretical orientation, research objectives, questions, and practitioners’ participation and ethical considerations. Further, we present and discuss how DFL as a research approach compares to other design-oriented research strategies. Even if a DFL research approach shares several similarities with other approaches of inquiry, we argue that it remains primarily oriented towards knowledge areas that relate to understanding and developing learning and teaching – both in formal education and in informal settings such as museums.

This article examines how the crisis of Coronavirus disease (COVID-19) became a crucible, or a means of transformation, for global educators. How teachers leverage their lived experience of teaching through the implications of COVID-19 to transform identity and practice is a new phenomenon and merits examination. Through a collection of interviews, the ways in which the life experiences of teaching through COVID-19 worked to create new identities in teachers and new practices within the classroom is examined. Data was gathered through informal interviews from eleven educators teaching through the crisis of COVID-19 across the world, including four continents and six countries. Drawing on simple thematic analysis, a narrative approach was utilized to examine the process of transformation in teachers across the globe. The findings and analysis of this research will help those working with teachers better understand how teachers leverage a crisis be it COVID-19, or another disruptive force, as a crucible for transformation.

Response times are one of the important sources that provide information about the performance of individuals during a test process. The main purpose of this study is to show that survival models can be used in educational data. Accordingly, data sets of items measuring literacy, numeracy and problem-solving skills of the countries participating in Round 3 of the Programme for the International Assessment of Adult Competencies were used. Accelerated failure time models have been analyzed for each country and domain.  As a result of the analysis of the models in which various covariates are included as independent variables, and response time for giving correct answers is included as a dependent variable, it was found the associations between the covariates and response time for giving correct answers were concluded to vary from one domain to another or from one country to another. The results obtained from the present study have provided the educational stakeholders and practitioners with valuable information.