This study aimed to develop a valid and reliable measurement tool to enhance ethical evaluation literature. The tool consists of two subscales named ‘Bases of ethical evaluation’, and ‘Grounds of ethical evaluation’. In order to determine the factor structure of the scales, both exploratory and confirmatory factor analyses were applied. The results revealed that Ethical Evaluation Questionnaire is a valid and reliable scale. The results presented that there was a positive correlation between the factors and the total ‘Bases of ethical evaluation’ scale. Similarly, there was a positive correlation between the factors and the total ‘Grounds of ethical evaluation’ scale. Since the Ethical Evaluation Questionnaire is a valid and reliable scale, it can be generalized for the other professions. The instrument is developed with respect to Islam religion in Turkish culture. However, scholars and managers can use the instrument for different cultures and religions. While there have been many studies examining ethical decision-making with different factors, intentions for examining religiosity as an underlying reason for ethical evaluation has been inadequate. So, studying Muslims in Turkey, this study is supposed to contribute to the literature related to ethical ideology and religiosity with regard to Islamic perspective.

The purpose of this research is to examine the opinions of bodybuilding sportsmen regarding the use of doping by comparing them with the sportsmen values dimension. The research was carried out with qualitative research pattern, and interview method was used. The study group was consisted of 2 women, 10 men in total of 12 national sportsmen in bodybuilding branch from Turkey. The data were obtained through face to face interviews with bodybuilding sportsmen using the interview form. Then, the data were analyzed through content analysis method. As a result, it was determined that success without doping is difficult in bodybuilding sport, and almost all of the sportsmen use doping in this sports branch, yet doping causes health problems and unfair competition.

A sample of 327 engineering bachelor students from a public university in Mexico took part in an information integration study to explore systematic thinking underlying propensity for cheating during a course exam. All study participants were provided with written descriptions of 12 scenarios pertaining to the academic evaluation criteria and were asked to rate the likelihood that they would cheat under such circumstances. The 12 scenarios reflected the experimental manipulation of three orthogonal factors: teacher’s teaching style, type of exam, and modality of assessment. Analysis results revealed four distinct attitudes toward cheating among students, two of which were independent of context (low and high desire to cheat) while the remaining two were context-dependent (low and moderate desire to cheat). All groups showed systematic thinking underlying their possible desire to cheat that was typified by the use of a summative cognitive rule for integrating information related to academic cheating. However, evaluation of factor relevance varied across the groups.

Since the 2008/2009 school year, every primary school in Slovenia has had to prepare its own “school moral education plan” and undertake its moral education activities on the basis of this plan. Although the basic content areas of the moral education plan are prescribed by law, the openness of the legal provisions allows schools to exercise professional autonomy. After a decade of the implementation of moral education plans we conducted an empirical quantitative-qualitative study aimed at analysing them in terms of content. The objective was to determine the extent to which the plans include and how they define the prescribed content areas, as well as the extent to which they include and how they define additional content areas that are not prescribed by law but could be included by schools depending on their individual particularities and the specific challenges of their environment. Data were collected through publications on the websites of a representative sample of randomly selected schools and analysed with a specially prepared instrument. The research shows that upgrading moral education activities through the school moral education plan would require (1) reconsideration and upgrading of the concept, (2) continuous state support for the self-evaluation of schools specifically in this area, and (3) support for schools to gain a deeper professional understanding of current moral education challenges and of forming moral education strategies that differ with regard to the content differences in the reasons for individual moral education challenges.

Online counseling is a mental health intervention between the counselee and the counselor using digital technologies computers or smartphones. A growing number of counselors have been providing counseling via the Internet. However, there are mixed findings regarding the effectiveness of online counseling when compared traditional face-to-face counseling and other modalities. Thus, the main purpose of the study was to investigate the effectiveness of online individual counseling compared to face-to-face counseling, and a control group regarding subjective well-being. To that end, a total of 60 college students were assigned to one of the three groups (21 online, 24 face-to-face, and 15 control). The instruments of the study were the Satisfaction with Life Scale, the Positive and Negative Affect Schedule, and the Brief Symptom Inventory. In order to examine the effectiveness of online counseling comparing to face-to-face counseling and control group, Mixed design (split-plot) ANOVA was employed. The findings of mixed ANOVA revealed that there was no significant interaction effect for the subjective well-being of the participants in different groups indicating that the three groups did not differ regarding subjective well-being scores measured over three times (pre-test, post-test, and follow-up). Nevertheless, the main effect for the group was significant indicating that the scores of the participants in the face-to-face counseling group regarding positive and negative affect changed significantly. Findings and implications were discussed regarding the relevant literature and some suggestions were offered.

The purpose of this paper is to determine the relevance of turning the camera on or off during distance learning as an argument for active or passive student participation. Seventy-five (75) students participated in the study and were divided into five groups (1-5) according to teaching method (i.e., synchronous instruction online with camera (1) and without camera (2), synchronous transmission of the recording online with camera (3) and without camera (4) and received the online instruction (5)) only. In the beginning and at the end, all students were tested with the same adapted test to determine general physical and motor status. All groups had the same training program twice a week for 45 minutes for 7 weeks. The first training of the week was dedicated to strength development, the second to endurance. In the end, all participants completed a questionnaire to determine their additional physical activity and how they felt about using a camera. The camera being turned on was identified as a factor that made participants uncomfortable but contributed significantly to the effectiveness of the course. However, 94.6 % of all participants cited non-camera methods as their favourite.

A socio-scientific issue is one of the learning techniques used today, which uses various scientific sources to make students think scientifically to conduct a dialogue and discuss solving a problem. Various problems in socio-scientific are controversial, requiring reasoning, and ethical evaluation in the decision-making process. A conflict between chemical reason and students' social point of view will cause students' different assessments and attitudes towards the socio-scientific issue. This study is a research and development (R&D) that focuses on the instrument's validity with the factor analysis technique to assess attitudes towards the socio-scientific issue in chemistry learning. CFA and EFA analysis found five factors in the tool: anxiety, interests, likes, benefits, confidence, validity, and reliability. The total reliability coefficient is .853. Of the eight instrument feasibility analysis requirements, seven instruments were declared fit to meet construct validity.

The primary goal of this study was to explore the effectiveness of Quizizz in enhancing students' motivation, interest, and achievement in physics. This study was conducted at the Nueva Ecija University of Science and Technology (NEUST) – Gabaldon campus during the second semester of the academic year 2021-2022. This study used both a descriptive and a quasi-experimental one-group pretest-posttest design. The descriptive design was used to describe the student's motivation and interest in learning waves and optics before and after the intervention of Quizizz. The quasi-experimental one-group pretest-posttest design was used to determine the effectiveness of Quizizz in increasing students' motivation, interest, and achievement in physics. The study included 20 students pursuing a bachelor's degree in secondary education with a major in science. According to the findings, before the intervention of Quizizz, students agreed that they are motivated and interested in learning physics, and their performance was average. Following the intervention, students unanimously agreed that they are more motivated and interested in learning physics, and their scores in a specific unit increased. According to the t-test, the intervention of Quizizz significantly increases student motivation, interest, and achievement in physics. It demonstrates that using Quizizz in physics instruction improved students' motivation, interest, and achievement in physics.

The greatest impact of the COVID-19 pandemic on Indonesian education was the decline in teacher performance. In light of this information, this study analyzes the role of supervision, salary and benefits, school climate, training and development, and perceived organizational support in moderating the impact of competence on teacher performance during the COVID-19 pandemic. This study also compares the relationships between employed government and private teachers. Data were collected through questionnaires to teachers with a sample of 166 government teachers and 175 private teachers in primary and secondary schools through a Google form and analyzed using moderated Structural Equation Modeling-Partial Least Square (SEM-PLS), multigroup, and multilevel analysis. The results showed that salary and benefits, training, and development did not affect the performance of public school teachers. In contrast, only salary and benefits did not affect teacher performance for private teachers. Moreover, only supervision significantly moderated the effect of competence on the performance of public school teachers. However, supervision, salary, benefits, school climate, training and development, and perceived organizational support did not affect private teachers' performance. The Ministry of Education or the Foundation needs to review and improve the mechanisms of training and development, supervision, and school organizational climate to promote optimal teacher performance during the pandemic.

This study aimed to investigate the effect of character teaching on college student socioemotional character development. The study was conducted at IAIN Pontianak, Universitas Tanjungpura and Universitas Muhammadiyah Pontianak. The sample was 1284 students, 388 male and 896 female. Partial least square-structural equation modeling (PLS-SEM) data analysis using SmartPLS was used. The findings reveal that character teaching has a significant and positive effect on college student honesty, prosociality, respect at home, respect at school, self-control, and self-development. This study suggests that colleges/universities ensure that lecturers supervise student assignments, seriousness and discipline, check students’ attendance strictly, give course assessment samples, and grade their assignments on schedule. At the end of the conclusion, implications and suggestions are given.

The central focus of this study is exploring the potential of Artificial Intelligence (AI) Chatbots in enhancing digital dialogue for students. The study investigates the key attributes of Chatbots that can contribute to the feasibility of facilitating digital dialogue to improve students' communication skills through discussions and dialogues. The study employed a descriptive method using a questionnaire to gather the perspectives of 35 educational experts on the use of AI Chatbots in digital dialogue skills. This study revealed that using AI Chatbots plays a crucial role in enhancing digital dialogue skills and can be effectively integrated into instructional practices to facilitate meaningful dialogue among students. Finally, the study recommends that educational technology specialists leverage new technologies, such as Al Chatbots to help improve student performance and facilitate digital dialogue in education.

The world eagerly anticipates advancements in AI technologies, with substantial ongoing research on the potential AI applications in the domain of education. The study aims to analyse publications about the possibilities of artificial intelligence (AI) within higher education, emphasising their bibliometric properties. The data was collected from the Scopus database, uncovering 775 publications on the subject of study from 2000 to 2022, using various keywords. Upon analysis, it was found that the frequency of publications in the study area has risen from 3 in 2000 to 314 in 2022. China and the United States emerged as the most influential countries regarding publications in this area. The findings revealed that “Education and Information Technologies” and the “International Journal of Emerging Technologies in Learning” were the most frequently published journals. “S. Slade” and “P. Prinsloo” received the most citations, making them highly effective researchers. The co-authorship network primarily comprised the United States, Saudi Arabia, the United Kingdom, and China. The emerging themes included machine learning, convolutional neural networks, curriculum, and higher education systems are co-occurred with AI. The continuous expansion of potential AI technologies in higher education calls for increased global collaboration based on shared democratic principles, reaping mutual advantages.

The wide use of the Internet of Things (IoT) in all spheres of life has led to a surge of cyberbullying among learners worldwide. That is why it cannot be denied that underlying factors, manifestations, consequences, and preventive measures of cyberbullying improve the welfare and overall mental development of students. This systematic literature review examines the causes, effects, and preventive measures of cyberbullying based on empirical studies conducted on learners in various situations. The review will focus on existing material published between 2015 and April 2024. For the inclusion and exclusion of literature, the Scopus online database was employed, along with the guidelines of the PRISMA model. Of 1004 studies, 51 were closely reviewed to determine the responses to the objectives of this study. NVIVO-12 was used for both thematic and content analysis in this study. The results show that there are 29 causes, 12 forms, 31 effects, and 41 different preventives for cyberbullying. The results of this study will not only enhance the comprehension of various concerns for parents, guardians, policymakers, educators, and governments but also provide valuable insights to researchers for addressing this issue.

The integration of AI tools in education is reshaping how students view and interact with their learning experiences. As AI usage continues to grow, it becomes increasingly important to understand how students' perceptions of AI technology impact their academic performance and learning behaviours. To investigate these effects, we conducted a correlational study with a sample of 44 students to examine the relationship between students' perceptions of ChatGPT’s utility—focusing on usage frequency, perceived usefulness, accuracy, reliability, and time efficiency—and key academic outcomes, including content mastery, confidence in knowledge, and grade improvement. Additionally, we explored how these perceptions influence student behaviours, such as reliance on ChatGPT, procrastination tendencies, and the potential risk of plagiarism. The canonical correlation analysis revealed a statistically significant relationship between students' perceptions of ChatGPT's utility and their academic outcomes. Students who viewed ChatGPT as reliable and efficient tended to report higher grades, improved understanding of the material, and greater confidence in their knowledge. Furthermore, the bivariate correlation analysis revealed a significant relationship between dependency on ChatGPT and procrastination (r = 0.546, p < .001), indicating that a higher reliance on AI tools may contribute to increased procrastination. No statistically significant association was identified between ChatGPT dependency and the risk of plagiarism. Future research should prioritize the development of strategies that promote the effective use of AI while minimizing the risk of over-reliance. Such efforts can enhance academic integrity and support independent learning. Educators play a critical role in this process by guiding students to balance the advantages of AI with the cultivation of critical thinking skills and adherence to ethical academic practices.

This study examines how work well-being is addressed in Finnish leadership education programs. The data consist of 91 publicly available course descriptions from Finnish leadership education programs in 2023, including those for master’s degrees from universities of applied sciences, traditional university-level leadership programs, and specialist vocational qualifications in leadership and business management. The study uses content analysis to examine the role of work well-being in leadership training. The results indicate that work well-being is often linked to organizational performance and treated as a tool for achieving economic goals, with less emphasis on the inherent value of employee well-being. This instrumental approach is prevalent across the different types of leadership training programs, including those found in the universities of applied sciences, traditional universities, and programs for specialist vocational qualifications in leadership and business management. The study also finds that leadership training programs often emphasize self-leadership and personal development, which can perpetuate a culture of individual responsibility for well-being and may lead to superficial leadership practices. The study concludes that Finnish leadership educators should prioritize holistic approaches to work well-being in leadership training, emphasizing its intrinsic value alongside its role in organizational performance, while researchers could explore methods to integrate and evaluate these balanced perspectives in diverse educational contexts.

This research aims to systematically review the integration of artificial intelligence (AI) in English language teaching and learning. It specifically seeks to analyze the current literature to identify how AI could be utilized in English language classrooms, the specific tools and pedagogical approaches employed, and the challenges faced by educators. Using the PRISMA-guided Systematic Literature Review (SLR) methodology, articles were selected from Scopus, Science Direct, and ERIC, and then analyzed thematically with NVivo software. Findings reveal that AI enhances English teaching through tools like grammar checkers, chatbots, and language learning apps, with writing assistance being the most common application (54.55% of studies). Despite its benefits, challenges such as academic dishonesty, over-reliance on AI (27.27% of studies), linguistic issues, and technical problems remain significant. The study emphasizes the need for ethical considerations and teacher training to maximize AI’s potential. It also highlights societal concerns, including the digital divide, underscoring the importance of equitable access to AI-powered education for learners of all socioeconomic backgrounds.

Integrating generative artificial intelligence (GenAI) in education has gained significant attention, particularly in flexible learning environments (FLE). This study investigates how students’ voluntary adoption of GenAI influences their perceived usefulness (PU), perceived ease of use (PEU), learning engagement (LE), and student-teacher interaction (STI). This study employed a structural equation modeling (SEM) approach, using data from 480 students across multiple academic levels. The findings confirm that voluntary GenAI adoption significantly enhances PU and PEU, reinforcing established technology acceptance models (TAM). However, PU did not directly impact LE at the latent level—an unexpected finding that underscores students’ engagement’s complex and multidimensional nature in AI-enriched settings. Conversely, PEU positively influenced LE, which in turn significantly predicted STI. These findings suggest that usability, rather than perceived utility alone, drives deeper engagement and interaction in autonomous learning contexts. This research advances existing knowledge of GenAI adoption by proposing a structural model that integrates voluntary use, learner engagement, and teacher presence. Future research should incorporate variables such as digital literacy, self-regulation, and trust and apply longitudinal approaches to better understand the evolving role of GenAI inequitable, human-centered education.