This quantitative study aims to examine the relationships between enabling school structure, academic optimism and altruistic behaviours as well as to find out whether altruistic behaviours serve as a mediator between enabling school structure and academic optimism. A scale was applied to teachers from primary- schools in Turkey via random sampling. There were 707 teachers participating in this study. Three existing scales, which are enabling school structure, academic optimism, and teachers’ altruistic behaviours scales, were used to collect data from teachers. Descriptive statistics and bivariate correlations were calculated in the study to investigate correlations among all the variables and reliabilities of the measures. Structural Equation Modelling investigated the effects of Enabling School Structure on School Academic Optimism through Teachers’ Altruistic Behaviours. The results confirmed a positive relationship between all variables of the study. The findings also revealed the mediator effect of TAB on the relationship between ESS and SAO. Finally, some recommendations were given based on results.

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 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.

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.

In the field of education, globally, teachers are recognised as important contributors in shaping learners’ interaction in a cooperative learning environment through effective lesson planning. There is a plethora of research conducted internally on lesson planning, as a critical instructional competency for good teaching and as a purposeful activity that precedes the delivery of instruction. This study aimed to explore Life Orientation teachers’ lesson planning incorporating a cooperative teaching and learning approach in secondary schools in De Aar, South Africa. The researchers adopted a mixed-methods phenomenological research design. Seven Grade 10 Life Orientation teachers were purposely selected to collect semi-structured interviews data, non-participatory observation, and document analysis. Data were analysed using inductive thematic analysis and supported with the literature review and the theory underpinning this study. This paper suggests an enactment between teachers’ subject and pedagogical content knowledge and instructional material. Lastly, it is also evident that many teachers lack knowledge, insufficient instructional resources, and an understanding of effective lesson planning to implement a cooperative teaching approach.

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.

The early phase is the decisive period for the teachers’ career. Intellectual styles (particularly thinking styles) play a vital role in teachers’ professional development. With the purpose of measuring thinking styles of teachers at the early phase, this study was designed to validate a revised inventory of thinking styles (TSI-R2) for pre-service and early career teachers. A sample of pre-service teachers (n = 248) were invited to join the pilot study and a sample of teachers with one year work experience (n = 252) participated in the main study. Exploratory factor analysis, confirmatory factor analysis and reliability analysis were performed. The results suggested that with slight modification, TSI-R2 was a reliable and valid instrument to measure thinking styles of pre-service teachers and early career teachers, which has some implications to enhancing teacher education and development.

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.

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.

The teaching and learning of mathematics in South Africa are conducted through the authorised Language of Learning and Teaching (LoLT). South Africa has eleven official languages, and English is a Language of Learning and Teaching (LoLT) from the Intermediate and Further Education and Training (FET) Phase. This study explores teachers' views on code-switching as a communicative technique to enhance teaching mathematics in Grade 4 in selected primary schools in South Africa. This qualitative single case study employed the interpretivist paradigm and social constructivism theory. A convenient purposive sampling technique was used to sample six grade 4 mathematics teachers from three primary schools in the Alexandra township in South Africa. Researchers collected data through the use of semi-structured interviews, which were later analysed and discussed using themes. Findings indicate that teachers often code-switch from LoLT (English First Additional Language) into Home Language (H.L.) to enhance learners' understanding of the mathematics concepts. Researchers suggested the integration of code-switching into the curriculum policy and followed by in-service training for Grade 4 mathematics teachers in code-switching.

To explore their role in enhancing graduate employability, the study investigated the effectiveness of student internships as pedagogical practices in promoting employability skills amongst graduating students in four Social Science Degree programmes of selected universities in Zambia. Qualitative and quantitative data were collected from 162 participants through the questionnaires and interview guides using a mixed-methods approach. The participants included different actors in the labour industry as critical informants; graduating students taking Social Science Degree Programmes; Lecturers, and Employers. The quantitative and qualitative data were analysed using the SPSS version 24 and Atlas. Ti. Version 8, respectively. This study employed the Human Capability Approach and Human Capital theories. Findings indicated that although internship practices were considered an essential component in the social science degree programmes for skills development, their effectiveness in promoting employability skills amongst graduating students varied from one programme to the other. The findings have implications on how universities and the labour industry could work together to design and implement internship experiences for students in social science degree programmes that are more effective in promoting the acquisition of employability skills in Zambia.

What are missing in the U.S. education policy of “college for all” are supporting data and indicators on K-16 education pathways, i.e, how well all students get ready and stay on track from kindergarten through college. This study creates synthetic national longitudinal education database that helps track and support students’ educational pathways by combining two nationally-representative U.S. sample datasets: Early Childhood Longitudinal Study- Kindergarten (ECLS-K; Kindergarten through 8th grade) and National Education Longitudinal Study (NELS; 8th grade through age 25). The merge of these national datasets, linked together via statistical matching and imputation techniques, can help bridge the gap between elementary and secondary/postsecondary education data/research silos. Using this synthetic K-16 education longitudinal database, this study applies machine learning data analytics in search of college readiness early indicators among kindergarten students. It shows the utilities and limitations of linking preexisting national datasets to impute education pathways and assess college readiness. It discusses implications for developing more holistic and equitable educational assessment system in support of K-16 education longitudinal database.