This paper is based on a research that explored how Inuit community members in Nunavut Territory, Canada, conceptualized quality education in the socio-cultural context of the territory. Data were collected through telephone interviews of 13 Inuit community members in Nunavut and document reviews both of which were conducted in 2010. The data analysis showed that Inuit community members are r gravely concerned with:(1) the low grade twelve graduation rates and high dropout rates in the territory schools;(2) School improvement planning that engages Inuit communities; (3) Integration of school with the larger community; (4) Communicative engagement with parents and other community stakeholders; (5) Culturally relevant school programming and pedagogy; and (6) Culturally appropriate disciplinary methods. In the conclusion, the paper spells out the policy implications of the findings.

Assessment for Learning (AfL) may be conceptualized as minute-to-minute, day-by-day interactions between learners and teachers with the improvement of learning as the principal focus. This paper traces the development of an AfL measurement instrument (scale) that can be used for research purposes prior to, during and following professional development in the area. Rasch measurement procedures were applied to data drawn from a convenience sample of 594 teachers from 44 elementary schools in Ireland to create a scale consisting of 20 items distributed across four key AfL assessment strategies: learning intentions and success criteria, questioning and classroom discussion, feedback, and peer-and self-assessment.  This scale, the Assessment for Learning Measurement instrument (AfLMi), has good psychometric properties and is interpretable in a way that makes it potentially useful during system wide improvement initiatives focused on AfL.

The aim of this study is to compare 2018 Science Course Curriculum (SCC), 2015 Trends in International Mathematics and Science Study (TIMSS) and 2018 High School Entrance Examination (HSE) in terms of content domains, cognitive domains and learning objectives. Qualitative research method, was used in this study. Data were analyzed using document review matrices to determine the similarities and differences between the objectives of SCC, TIMSS and HSE. SCC outcomes and HSE science questions were also classified according to TIMSS cognitive domains. Results show that the learning objectives of the fields of Physics, Biology and Earth Sciences of TIMSS are compatible with those of all grade levels of SCC and that the objectives of Chemistry are compatible with those of the seventh and eighth grades. Most of HSE questions are compatible with the objectives of SCC, however, the latest revision in the curriculum has introduced some eighth grade objectives to other grade levels. HSE science questions measure higher-level skills than TIMSS science questions. The subject domain of the “Organisms and Life” of SCC has the most learning objectives in the levels of “knowing” and “reasoning” while the subject domain of the “Physical Events” has the most learning objectives in the levels of “applying.” Besides, the seventh-, fifth- and eighth-graders have the most objectives in the levels of “knowing,” “applying,” and “reasoning,” respectively. It is hoped that the results will contribute the literature in improvement of science curricula and interpretation of national and international exams.

The aim this qualitative study is to determine current situation of policy on teacher employment model in Turkey from the perspectives of contracted teachers. The sample of the study consisted of 24 forms and branch teachers who were determined with the method of convenience sampling. The inclusion criterion for the sample was being contracted teachers who were employed in the provinces of Erzurum and Sanliurfa in Turkey in the academic year of 2017-2018. The data of the study was collected by using a semi-structured interview form consisting of open-ended questions. The data was analyzed by using the qualitative research method of content analysis. The findings of the study were discussed under the themes of the objective of contracted teaching, its negative aspects, and the future of the practice and solution recommendations. According to the results of the study, the vast majority of the participants were aware of the objectives of the practice of contracted teaching. The participants thought that the practice provided continuity in instruction-teaching and teachers at the schools they were appointed to. The vast majority of the participants were of the opinion that the practice of contracted teaching led to status discrimination as tenured-contracted teachers, and this reduced their motivations and organizational commitment. They stated that this practice carried negative aspects in terms of postgraduate education and being prospective teachers.

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.

E-learning pedagogy is used in many health training institutions in Uganda, However, despite the high investment, e-learning adoption is still low. This study aimed at ascertaining the relevance of on-line quality management in improve e-learning adoption in midwifery schools in Uganda. It used an explanatory sequential mixed methods design to ascertain if on-line quality management was significant at improving e-learning adoption and the on-line quality traits which would be implemented by midwifery schools to improve e-learning adoption. Data collection was conducted in two phases, the first entailed quantitative data collection and analysis to determine if on-line quality management was significant to e-learning adoption. The second embraced a qualitative data collection and analysis to ascertain the detailed traits of on-line quality management relevant to e-learning adoption. Linear regression analysis established on-line quality management had influence on e-learning adoption (p=0.000). On-line quality management accounted for 55.5% of the variance in e-learning adoption with a strong positive statistically significant relationship, and its salient traits included; Compact Disc, Read-Only-Memory materials meets the expectation of users, collaborative improvement of on-line quality, Learning Management System meets expectations of users, providing the best on-line experience, e-learning program being described as an excellent on-line learning experience, and guidelines for improving on-line quality. Midwifery schools therefore have to focus on the six most relevant traits of on-line quality management if they are to improve e-learning adoption.

Many educators hold beliefs that including students, at least to some degree, has academic and social benefits, however, they struggle with fundamental pedagogy. With a global shift from a segregated lens to that of an inclusive lens, special education teachers who once held positive beliefs towards segregated special education are now faced with a new reality of teaching students with disabilities in inclusive classroom settings. This paper highlights the experiences of ten educators who transitioned from teaching in a self-contained class to an inclusive class. Focus group and interview themes indicated that all had experienced a shift in their pedagogy- their overall beliefs and teaching methods- after they taught students with disabilities in inclusive classrooms. Despite their special education training, these educators were challenged by their own beliefs and expectations, the attitudes of others, and systematic barriers within the education system. Highlights of their change process include the positive performance of students with disabilities, the growth and development of the other students, and their overall pedagogical self-reflection. As a result, a framework, the Inclusive Educators’ Continuum of Change, was developed to highlight the change process and connect this research to the literature on inclusion and teacher change. This diagram can provide teacher educators a framework for discussing pedagogical change. Implications for professional development and teacher training for inclusive practice, as well as maximizing the educator skills in Professional Learning Communities (PLC) and mentorship opportunities will be highlighted.

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 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.

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.

Time management for educational leaders has remained highly relevant to scholars, policymakers and practitioners. We analyzed survey responses from 98 public high school principals to examine the congruency between average total hours they worked per week against the sum total of the average hours worked per week in each of five distinct categories of leadership tasks. The observed congruence was 0.32, while Cohen’s kappa coefficient was 0.10. Female principals tended to underreport, and male principals tended to overreport, total work time. Principals with doctorate degrees exhibited higher congruence than those without, and overreporting was inversely related to highest degree. Principals in charge of large teaching staffs were more likely than their counterparts to be congruent and less likely to overreport total work time. Self-report appears to be an inaccurate method to measure time use among high school principals. If time use is a key component of the quality of principal leadership, more detailed and robust techniques for collecting time use data should be utilized in future studies.

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.

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.

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.

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 Coronavirus disease (COVID-19) pandemic has increased anxiety and stress among teacher education managers and has given rise to the question of whether they have the competencies to execute their operational responsibilities productively. The theories of resilience and transformational leadership underpin this study in which teacher education managers’ resilience and their responsiveness to the well-being of staff executing their operational practices in an open distance e-learning context were explored. A qualitative approach was adopted and virtual video conferencing interviews with teacher education managers were used to explore how they mitigated their strategic and operational roles and their managerial functions to ensure the well-being and organisational performance of staff working from home. Results revealed the experiences of distance managers to have been positive in that they implemented organisational strategies to mitigate the challenges faced to ensure wellness and performance among staff working from a distance. Further research applying a mixed-method design should be undertaken to determine how resilient managers and staff working from home are. That may yield different results.

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.

During the period of the Coronavirus disease (COVID-19), the boundaries between the home and the school as study spaces were blurred. School studies entered the home, with the parents present and observing their children’s e-lessons and the teachers’ teaching methods. The purpose of the current study was to explore the explicit and implicit attitudes of the lesson partners: teachers, parents, and students, to e-learning. The study explores whether and to what degree the attitudes of teachers, students, and parents to e-teaching are compatible, and what are the implications for the future. The study shows that although in recent years the relationships between parents and the school and between teachers and students have waned, with regard to the separation of authorities between the home and school, the period of the COVID-19 crisis clarified the need to enhance the relationship and cooperation between the home and the school as two meaningful study spaces for independent learners. The research findings raise the paradox that not only does technology not increase the distance rather it has the potential to strengthen the relationships between parents, teachers, and the school. The study points to the need to prepare holistic guidance sessions and professional development courses.

Despite findings in the literature on its significance, the acclimatization of teachers into school units is not well organized. Hence, many newly appointed teachers fell as a “foreign body” into school, they do not interact with the other members of staff and they are not actively engaged in school life. This study aims to explore the factors involved in social behavior (collegial relations) among members of the educational community. These factors may affect the acclimatization/reception of teachers who, regardless of their teaching experience, are called to teach for the first time in a new school environment. According to the findings, it is essential the attitudes of teaching staff, in matters of cooperation, to be transformed and a collegial climate in schools to be established. To this end, fostering empathy among teachers through educational activities and enhancing opportunities for cooperation and teamwork inside and outside the classroom would be of significant contribution.