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This study aims to reveal the mediating role of teachers' moral courage (MC) behaviours in the relationship between school principals' authentic leadership (AL) behaviours and teachers' positive psychological capital (PPC) according to the views of teachers working in primary and secondary schools. In this study "AL Questionnaire", "PC Scale" and "PMC (Professional Moral Courage) Scale" were used. 8665 teachers working in primary and secondary schools in Antalya city centre comprise the population of this study. The sample of the study consists of 474 teachers reached by using the convenient sampling method. Confirmatory Factor Analysis (CFA) and (Cronbach Alpha Coefficient) alpha coefficients were benefited from the validity and reliability analysis of the scales, and Spearman's Correlation Coefficient, which was used for data that were not normally distributed, was used to determine the relationships between the variables, and structural equation modelling (SEM) was used for mediating analysis. A low-level positive and significant relationship was found between school principals' authentic leadership behaviours and teachers' psychological capital and moral courage behaviours. Following the results of the Structural equation modelling (SEM) analysis, it has been determined that the moral courage behaviours of the teachers have a mediating role in the relationship between the authentic leadership behaviours of the school principals and the positive psychological capital of the teachers.

This study explores the dynamics of accountability and responsibility among mathematics educators as they integrate Social and Emotional Learning (SEL) into their teaching practices. Utilizing a hermeneutic transcendental approach, the research examines the lived experiences of teachers, their challenges, and the strategies they employ to balance academic rigor with SEL objectives. This case study captures the voices of educators who are at the forefront of this integration. It examines their pedagogical adjustments, collaborative efforts with colleagues and administrators, and the reflective practices they engage in to enhance their teaching. The research also sheds light on the systemic barriers that hinder the seamless integration of SEL, such as limited resources, lack of training, and lack of accountability measures. The study focuses on teacher connectedness, exploring how strong relationships with students and peers influence the successful integration of SEL. The study highlights how connectedness fosters a supportive and empathetic classroom environment, enhances student engagement, and promotes students' sense of belonging and well-being. Ultimately, this study advocates for a more comprehensive approach to teacher accountability, one that recognizes the multifaceted role of educators in shaping both the educational and emotional needs of their students. This research aims to inform policymakers, educational leaders, and teacher training programs about the critical need for balanced and holistic educational practices, by providing insights into the practical realities of SEL integration in mathematics education.

Predictive learning analytics has been widely explored in educational research to improve student retention and academic success in an introductory programming course in computer science (CS1). General-purpose and interpretable dropout predictions still pose a challenge. Our study aims to reproduce and extend the data analysis of a privacy-first student pass-fail prediction approach proposed by Van Petegem and colleagues (2022) in a different CS1 course. Using student submission and self-report data, we investigated the reproducibility of the original approach, the effect of adding self-reports to the model, and the interpretability of the model features. The results showed that the original approach for student dropout prediction could be successfully reproduced in a different course context and that adding self-report data to the prediction model improved accuracy for the first four weeks. Wealso identified relevant features associated with dropout in the CS1 course, such as timely submission of tasks and iterative problem solving. When analyzing student behaviour, submission data and self-report data were found to complement each other. The results highlight the importance of transparency and generalizability in learning analytics and the need for future research to identify other factors beyond self-reported aptitude measures and student behaviour that can enhance dropout prediction.

The task of verifying credible and original information is now more complicated, especially for undergraduate students. This study uses information literacy and discourse analysis to develop English as a foreign language learners' critical reading skills while verifying information on social media. A reading test including false news was used to assess the learners' awareness of the credibility of social media information. Then, they were divided into experimental and control groups. The experimental group was trained in evaluating a set of false news using information literacy and discourse analysis skills. The control group did not receive any training. The experiment was conducted again on both groups. The results show a significant improvement among the experimental group compared to the control group. The findings of this study shed light on the growing need for creating a pedagogical space in English as a foreign language classroom that focuses on raising learners' awareness of information literacy and discourse analysis skills to read with critical perspectives.

Regular physical activity and balanced nutrition are important in maintaining a healthy weight. Nonetheless, minority populations, like Hispanics, face challenges (e.g., language barriers and transportation unavailability) that limit their participation in intervention programs to receive benefits. Furthermore, dog companionship has been shown to relate to adolescents' behavioral and socio-emotional development positively, and it has been shown to have the potential to increase physical activity in adolescence. Therefore, this study aimed to examine the feasibility, i.e., program adaptation, limited efficacy, and acceptability, of the two exercise and nutrition education interventions to improve body composition, motivation, and well-being in overweight and obese Hispanic adolescents. This pilot study was a quasi-experimental trial with eight pediatrician-referred participants (M[subscript age] =11.75±1.48) assigned to two parallel arms: (1) BRAVO! and (2) BRAVO!+. Both share identical exercise (24 hours) and nutrition (12 hours) programs centered on the self-determination theory for 12 weeks. The results suggested, first, acceptable attendance (BRAVO! = 56.25%; BRAVO!+ = 64.58%) but poor retention (BRAVO! = 33.33%; BRAVO!+ = 63.63%). Second, the findings suggested promising limited efficacy in BRAVO!+ group, with small but statistically non-significant reductions in participants' BMI (M[subscript baseline] = 33.08±6.13; M[subscript post] = 32.23±6.88; t[3] = 1.633, p = 0.201) and weight (M[subscript baseline] = 78.13±16.22; M[subscript post] = 77.62±17.64; t[3] = 0.485, p = 0.661). In addition, the results suggested high satisfaction and acceptable suitability for both programs and providing important suggestions for the future. In conclusion, our pilot study findings only partially supported the feasibility of the pet-dog-enhanced lifestyle intervention. Although this study found evidence that pet-dog companionship can improve program satisfaction and acceptability of pediatric lifestyle interventions, including a pet-dog in the intervention may contribute to high dropout evidenced in this study.

Faculties of Fine Arts in Turkey train artists and designers by using the universal language of art, taking into account scientific, artistic and cultural developments, developing students' creativity and productivity. In addition to the problems encountered by fine arts students and artists, who have creative personality elements, during the performance of art and the application of methods and techniques available in the literature, the level of use of technology will directly affect their artistic performances and activities. The aim of this study is to examine the creative personality traits and internet usage status-purposes of university students studying in Fine Arts Faculties on a relational basis. The study, which was conducted in the relational survey model, included 205 students studying at the fine arts faculties. Creative personality traits scale and internet usage intentions questionnaire were used to collect the data of the study. According to the findings of the study, the creativity personality traits of the participants are at a high level. In addition, creative personality traits of the students show partial differences according to gender variable. According to another result of the study, it was seen that the students of the Faculty of Fine Arts use "Social networking sites", "Video sharing sites", "Photo sharing sites" applications at a high level. Again, the internet usage purposes of the participants differ according to the gender variable. Finally, significant relationships were found between the participants' creative personality traits and their internet usage purposes.

This paper aims to assess the impact of the reciprocal teaching strategy on the academic performance of student-teachers enrolled in the Higher Professional Diploma (HDE) program at Ajman University, United Arab Emirates. The study adopts a quasi-experimental design, employing pre- and post-tests and a control-experimental group configuration. The sample comprises 80 student-teachers selected from Ajman University during the second semester of the academic year 2022-2023. An academic achievement test in a multiple-choice format serves as the research instrument. The study's outcomes reveal noteworthy differences, indicating significant mean variations in the post-test scores between the experimental and control groups, favoring the control group in the context of the Reciprocal Teaching strategy. These results hold implications for international students, prompting considerations about the transferability and generalizability of teaching strategies across diverse cultural and educational settings. The findings suggest the broad effectiveness of the reciprocal teaching method, emphasizing the necessity of aligning teaching strategies with international students' specific needs and preferences. The research underscores the importance of tailoring teaching approaches to meet the unique requirements of a diverse cohort of global learners. It suggests that reciprocal teaching demonstrates efficacy across varied groups of international students, emphasizing the importance for instructors to select instructional methods that cater to the distinct needs of their diverse international student body.

One of the main objectives of international large-scale assessments is to make comparisons between different countries, education policies, education systems, or subgroups. One of the main criteria for making comparisons between different groups is to ensure measurement invariance. The purpose of this study was to test the measurement invariance of the mathematics intrinsic motivation scale across 14 countries. For this purpose, the "students like learning mathematics" scale, which measures intrinsic motivation for mathematics, was included in the TIMSS 2019 cycle. The study sample consisted of a total of 152992 students, 70192 4th grade and 82800 8th grade students from 14 different countries participating in the TIMSS 2019 cycle. Measurement invariance was tested with Multi-Group Confirmatory Factor Analysis (MG-CFA) and Alignment Method. The mathematics intrinsic motivation scale provides only configural invariance according to MG-CFA at the 4th grade level, whereas the scale provides approximate invariance according to the alignment method. At the 8th grade level, the scale provides configural and metric invariance according to MG-CFA, whereas the scale provides approximate invariance according to the alignment method. The results indicate that the mathematics intrinsic motivation scale provides approximate measurement invariance at both grade levels and that comparisons can be made between the scores of the identified countries.

In the digital age in which we live, one of the primary goals of education is to nurture individuals who are capable of thinking creatively, solving problems, and being innovative and productive. Computational thinking is an analytical process that requires defining problems and at the same time solving these problems by proceeding in creative ways. Based on this possible pattern of relationship between computational thinking and creativity, the aim of this study was to determine how two different versions of the computational thinking approach (plugged and unplugged) affect 6th-grade students' creative problem-solving skills (CPSS). Thus, two different teaching modules were designed on the circulatory system with a focus on plugged and unplugged computational thinking. A quasi-experimental design was used. Experiment group 1 utilized the plugged teaching module, experiment group 2 worked with the unplugged teaching module, and the control group in the Turkish middle school science curriculum's inquiry-based science activities. All three groups participated in 16 h of lessons over a 4-week period. We utilized the Creative Problem Solving Skills Inventory (CPSSI) for data collection. The results demonstrated that both the plugged and unplugged teaching modules were more successful at enhancing the CPSS than the inquiry-based science activities. Furthermore the unplugged teaching module was significantly more successful in developing CPSS compared to inquiry-based science activities. Hence, this empirical study demonstrated that both plugged and unplugged computational thinking approaches can enhance CPSS, but also reveals the greater effectiveness of unplugged approaches in fostering middle school students' CPSS.

Mechanistic reasoning about an artifact or system involves thinking about its underlying entities and the properties, activities, and cause-effect relationships of those entities. Previous studies of children's mechanistic reasoning about engineering solutions have mostly focused on specific mechanical systems such as gear trains. Yet there is growing interest in more contextualized, community-connected engineering design experiences for elementary students. Important questions remain about how the specific features of community contexts influence student opportunities for engineering design practice and reasoning. In this study, we explore whether comparisons in students' mechanistic reasoning can be made across a range of five different community design contexts. For this qualitative descriptive study, we focus on interview data collected after each of five community-connected engineering-enriched science curriculum units: accessible playground design (3rd grade, N = 8, district A, schools 1 and 2), displaced animal relocation design (3rd grade, N = 10, district A, school 1), migration stopover site design (4th grade, N = 4, district A, school 2), retaining wall design (4th grade, N = 13, district B, school 1), and water filter design (5th grade, N = 9 students, district A, school 3). The findings showed that all students "named entities" and "described entity factors" for the design solutions for all five units. For the playground, displaced animals, and stopover sites units, some students described the design artifacts without explicitly expressing "connections between entity factors" and/or the way factors "linked up to the design performance." We argue that particular features of the design tasks influenced students' approaches to explaining their design solutions. Therefore, we can claim that comparisons can be made across different community-connected engineering design contexts in terms of children's mechanistic reasoning.

Chatbots represent a promising technology for engaging students in math learning. Guided by Jerome Bruner's constructivism and Lev Vygotsky's Zone of Proximal Development, we designed and developed a chatbot that incorporates scaffolding strategies and social-emotional considerations, and we integrated it into ASSISTments, an online math learning platform. We conducted an experimental study to examine the influence of learning math with the chatbot compared to traditional learning with hints. This study involved 85 middle and high school students from three diverse school settings in the United States. The results revealed no significant differences in students' math learning performance and perceived helpfulness and interest between the chatbot and traditional hints conditions. However, students in the chatbot condition displayed significantly lower confidence in solving a similar problem after the intervention, likely due to the removal of the high level of support provided by the chatbot. Despite this, students' open responses indicated that a significantly higher number of students had positive attitudes towards chatbots. They appreciated the chatting feature, breaking down a problem into steps, and real-time support. The study concludes with a discussion of the findings and implications for chatbot designers and developers and presents avenues for future research and practice in chatbot-assisted learning. In support of Open Science, this study has been preregistered and both the data and the analysis code used in this study are publicly available at https://osf.io/am3p8/.