In this study, in-class lesson observations were made with volunteer teachers working in primary and secondary schools using alternative observation tools regarding the scope of contemporary educational supervision. The study took place during the fall and spring semesters of the 2015-2016 and 2016-2017 academic years and the class observations were made with six alternative volunteer teachers in the primary and secondary schools in the provincial and district centers using alternative observation tools. In the classroom observations, the teacher's verbal flow scheme, teacher's movement scheme and student behaviors both during tasks and not, were analyzed. Observations were made during the two classes with teacher's permission. After the first observation, an information meeting was held and then the second observation was made. Following the observations, interviews were held with the teachers. In interviews, the information about the class observations was shared with teachers and their opinions about research were asked. It has been found that alternative observations, in general, have a positive effect on the professional development of teachers. It is concluded that this type of observation approach positively affects teachers' in-class activities, helps in classroom management and teaching arrangements and positively affects student's unwanted behaviors.

In this study it is aimed to analyze the smartphone addiction, fear of missing out (FoMO), and perceived social and academic competence that predict social media addiction on high school students. Study group consists of 296 (136 females and  160 males) high school students studying in Anatolian High Schools and Vocational High School in Mersin during the 2017-2018 academic year. Simple random sampling was used. In the study, descriptive survey method was used. As data collection tools, Personal Information Form, Social Media Addiction Scale, Smartphone Addiction Scale, Fear of Missing Out Scale (FoMO), Perceived Competence Scale developed by Ozer et al. were used. In analyses of data, regression was used. According to stepwise regression analysis, smartphone addiction (β = .34), fear of missing out (β = .26) and perceived academic competence (β = -.12) predict social media addiction level on high school students. As the result of the study, smartphone addiction, fear of missing out, and perceived academic competence predict social media addiction on high school students. When the smartphone addiction level and fear of missing out decrease, and also perceived academic competence improve, students’ smartphone addiction levels reduce.

This study aims to adapt teachers’ classroom practices for teaching thinking scale from Turkish to English culture. The scale includes 21 items. Each item has 5-point Likert type. It has 4 factors: Effectiveness of Teaching Thinking, Loyalty to Curriculum, Teacher Dependence and Encouraging Thinking.  In the first step, statistical analyses were administrated to achieve linguistic equivalence. To do that, the data were collected from 30 English teachers with 20 day intervals. In the second step, the data collected from 148 native English teachers were analysed by Confirmatory Factor Analyses. Good level fitting indices were found at the end of this process. Cronbach Alpha coefficient value was found to be .90. For Convergence and Discriminating validity, which means construct validity, correlations between sub-dimensions and average explained variance values were calculated and found good sufficient levels. Items in the scale were discriminating. As a result of this study, it was found that English translation of the scale was statistically valid and reliable.

Environmental learning in the 21st century must be contextual and require the ability of Higher Order Thinking Skills (HOTS) to solve environmental problems such as green consumerism. The purpose of this study was to implement an Android-based Supplementary Book of Green Consumerism (SBGC) to improve students' HOTS abilities in environmental learning. The method used experiment with a sample of 144 students in 8th grade of Junior High School. Students divided into 72 students in control classes and 72 students in experimental classes. The treatment given was in the form of using SBGC in the experimental classes. The results showed that the students HOTS score increased significantly in the pre-post test in the experimental class or when compared to the control class. Increased in the experimental classes from a score 15.7 (very low) to 32.73 (low). Meanwhile, when compared between the experimental classes with a score 32.73 (low) and control classes with a score 25.25 (very low). This showed that SBGC is easy to understand. SBGC is also interesting so that makes students become active in learning. The conclusion of this study was that SBGC can increased students' HOTS in environmental learning.

In the last decade, learning from computer-supported collaborative technologies has been combined with social media (SM) and this has gotten a lot of attention. Also, there is a growing body of literature that suggests that SM is gaining a lot of attention because it has the perceived pedagogical affordances that could be used as a potential tool for teaching and learning. These perceived pedagogical affordances allow people to interact, communicate, collaborate and share resources among others. Most of the studies published on SM in education have focused on higher education (colleges and universities) with a relatively small body of literature on secondary education. Despite the wide use of SM in education, its benefits are still not clear across studies. We conducted a systematic literature review using the EBSCOhost database. Screening of abstracts and full texts resulted in the selection of 10 papers for the review. Seven approaches to using SM in learning in high schools have been identified: (1) interaction, (2) information dissemination, (3) communication, (4) collaboration, (5) teaching, learning, and resource sharing, (6) socialization, and (7) entertainment. Most of the articles claimed that the educational use of SM has a strong positive effect on social skills, but the evidence presented was rather weak. Subject-specific outcomes were not in focus in using SM in education. All studies followed a constructivist philosophical perspective. Based on this we provide a theory-based scenario for using SM in learning social skills and subject-specific outcomes.

Owing to the rapid expansion and development of newly upgraded undergraduate colleges and universities in China, the Ministry of Education implemented the College English Language Teaching Reform (CELTR) to improve College English language teaching and learning at higher institutions. This reform aims to improve the quality of teaching and learning of English as a Foreign Language (EFL). The present study aims to identify potential factors influencing the EFL teachers’ professional development in the context of the College English language curriculum reform in mainland China. In total, 92 EFL college teachers from a newly upgraded university located in Nanyang City, Central China participated in this study, and data were collected using a survey questionnaire. Overall, the findings indicate that the EFL teachers’ professional development improved during the implementation process of CELTR and the potential factors that contributed to their professional development were teachers’ understanding, self-reflection, and teaching practice.

The purpose of the study was to identify how debates effected the analytical thinking abilities of tertiary students and how the debates as an instructional approach were perceived by the students. The study used quantitative data collection methods such as tests and observation checklists and qualitative data collection methods such as a focus group discussion. The data was yielded from the measurements of students’ analytical thinking, critical thinking, problem-solving skills, and decision-making skills. The pretest and posttest measurements were administered using the test of analytical skills, the quiz entitled “Get Ready to Test Your Analytical Skills!”, and the problem-solving test. The study found that the debates improve the students’ analytical thinking abilities and are perceived positively by them. The pretest and posttest measurements results, observation reports, and a focus group discussion showed that the debate-driven instructional model brought positive change to students’ analytical thinking, critical thinking, problem-solving skills, and decision-making skills which are supported by the statistically significant Mean differences in all the variables. The findings from observations implied that the lessons were organised in a way that could sufficiently challenge the students, engage them in the search of information, and presenting their findings based on the facts and statistics. The results obtained from the students’ responses in the outline focus group discussion found that the students appreciated participation in the debates as they associated the experience with job benefits, the practical value of the debates, learning engagement, and research.

People have needed mental health services more and more during Coronavirus disease (COVID-19) pandemic. Due to the contagious nature of the COVID-19 virus, online counseling has been preferred more during the COVID-19 pandemic. Those who need such mental health services might take actions to seek help by demanding psychological assistance from psychological counselors or mental health institutions. However, these people might avoid seeking and receiving such help when they think that they have a weak personality or they somehow will be criticized by the society or experience social stigma because they seek psychological help. This study aims to examine the mediating role of self-disclosure between attitudes towards online counselling and perception of social stigma due to receiving psychological help. Participants of the study consist of 519 adults who live in Turkey and are older than 18 years old.  The data for the study were collected through “Distress Disclosure Index”, “Online Counseling Attitudes Scale (OCAS)”, “Stigma Scale for Receiving Psychological Help (SSRPH)” and “Personal Information Form”. The hypothetical model developed in order to determine whether self-disclosure mediates in the relationship between perception of social stigma due to receiving psychological help and online psychological counselling attitudes was tested through SEM (Structural Equation Modeling). The results of the study revealed that self-disclosure play partial mediating role between perception of social stigma and value of online counselling and discomfort with online counselling.

Citizenship education has been recognised as a desirable attribute of students both by the educational system and Sultan Qaboos University in Oman. The aims of citizenship education will be difficult to achieve unless teacher educators incorporate citizenship education as a main outcome of their courses. Yet, that mainly depends on their understanding of the meaning of citizenship and what the component is that they ought to develop. The current article aims to analyse the perceptions of teacher educators about citizenship and their related teaching practices. Study adopted a qualitative method to collect the data by interviewing five teacher educators from college of education, Sultan Qaboos University. The findings showed that those educators associated citizenship with patriotism and a personally responsible vision of citizenship. In addition, they reported limited practices pertinent to citizenship education and clearly expressed their need for professional development in citizenship education.  

Academic failure and school dropout, or early school leaving, are two of the situations that most concern countries and educational institutions worldwide, because of their prevalence and also their economic and social implications. Despite this prominent role that academic failure and school dropout have in societies, there seems to be no consensus on the literature on their conceptualization, definition, and relationship. Moreover, it is frequent to observe how both concepts are confused or overlap in the scientific literature and how many authors avoid defining these constructs, using them indistinctly. Therefore, this work analyses whether educational research considers them as two different concepts or if they are used indistinctly. For this purpose, 2,051 keywords from 450 articles were subjected to a systematic review and classified into the Education Resources Information Center (ERIC) thesaurus´ descriptors. The results reveal statistically significant differences in the descriptors according to the type of paper to which they correspond (academic failure or dropout). Thus, academic failure is associated with sociocultural, personal, and academic factors, while dropout is linked to employment and educational trajectories. These differences evidence that, although academic failure and school dropout refer to closely related educational problems, there are remarkable differences between them and between the treatment given to each of them in the scientific literature. Therefore, they should be considered as two different concepts. For all this, keyword analysis has proved to be a relevant element for the study of the structure of knowledge, allowing to clearly establish the differences between the two closely related concepts.

Ursula von der Leyen identifies diverse classrooms have different knowledges and ‘epistemologies’. A typology of epistemologies for democratising knowledge ‘A Blueprint for Character Development for Evolution’ (ABCDE) is offered to mainstream policy benefits for all by Higher Education as hubs i) credentialing educational leaders by doctoral-study and ii) propelling networks of Professional Educators and Administrators Committees for Empowerment (PEACE) across professions credentialed by Higher Education and chaired by educational leaders. PEACE builds robust evidence bases to inform redesigning curriculums and culturally responsive pedagogies as policy benefits that empower students to use ABCDE with Assessment for Personal and Social Learning (APSL) to problem solve across the quadruple-helix. Education Outcomes include students’ self-management of personal and social understanding and wellbeing for resilience within sustainable circular, entrepreneurial, green and digitised economies with products and means of production regulated by professions credentialed by Higher Education. Impacts include communities developing responsible historical social consciousness to reinvigorate democratic governance, accountability, transparency, effectiveness and trustworthiness of rule-of-law based institutions and policies to expand active and inclusive citizenship empowered by safeguarding human rights. Further research, building on the powerful European Commission funded platform ‘DocEnhance’ is recommended to inform effective and efficient investment into high quality education and training.

The purpose of the current study was to analyze social media content related to physical education. In the context of summative qualitative content analysis, I took advantage of big data analytics to access the data. Machine learning of this big data mapped the large content volume from four major social media platforms. The data was collected by extracting social media posts from January to December 2020. The big data analysis process sorted, categorized, and classified the enormous data into several preeminent topics regarding PE. These computerized analyzes were used to identify themes that were further analyzed using qualitative methods. The results revealed two overarching themes. These themes were (a) PE representation as a school subject and (b) the images of PE teachers on social media. The second theme consisted of three subthemes: masculine traits of PE teachers and negative and positive sentiments toward these teachers. I concluded that key aspects of PE discourse in virtually mediated reality share topical characteristics with what people have previously socially constructed. However, the themes offer a new addition to the literature in that the analysis offers a new perspective on ongoing debates about the social construction of PE through enormous large data sets.

This study sought to investigate the current state of innovative teaching research and identify emerging themes and trends in the field from 2013 to 2023. The Scopus database was searched for the term “innovative teaching,” resulting in 1005 documents. After manual screening, 903 articles were exported in the BibTeX format for further processing in Bibliometrix using three bibliometric analysis types: network analysis, science mapping, and performance analysis. Performance analysis revealed bursts in publication output in 2015 and 2021, with a moderate boost in 2018. Ten top-cited journal papers were identified. The citation rates were low between 2019 and 2021, but there has been an upturn since 2022. The top keywords included simulation and nursing education, and there was a shift in research topics from broad educational concepts to more specific approaches, such as e-learning. Innovative teaching has been predominantly investigated in higher education, particularly in nursing education, with themes like “teaching/learning strategies” suggesting an emphasis on enhancing teaching practices not just through technology infusion. This study can aid educators and researchers in staying current with innovative teaching developments and inform their teaching practices.

Analytical thinking is crucial for developing problem-solving, decision-making, and higher-order thinking skills. Many researchers have consistently developed learning management models to enhance students' analytical thinking, resulting in extensive knowledge but lacking clear systematic summaries. This study aims to: (a) explore the effect sizes and research characteristics influencing students' analytical thinking, and (b) compare the effect sizes of learning management models after adjusting for propensity score matching. In exploring 131 graduate research papers published between 2002 and 2021, the research utilized forms for recording research characteristics and questionnaires for assessing research quality for data collection. Effect sizes were calculated using Glass's method, while data analysis employed random effects, fixed effects, and regression meta-analysis methods. The findings indicate that (a) research on learning management models significantly impacts students' analytical thinking at a high level (d̅ = 1.428). Seven research characteristics, including year of publication, field of research, level, duration per plan, learning management process, measurement and evaluation, and research quality, statistically influence students' analytical thinking, and (b) after propensity score matching, learning through techniques such as KWL, KWL-plus, Six Thinking Hats, 4MAT, and Mind Mapping had the highest influence on students' analytical thinking. Recommendations for developing students' analytical thinking involve creating a learning management process that fosters understanding, systematic practical training, expanding thinking through collaborative exchanges, and assessments using learning materials and tests to stimulate increased analytical thinking.

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 aims to design, produce, and validate an information collection instrument to evaluate the opinions of teachers at non-university educational levels on the quality of training in artificial intelligence (AI) applied to education. The questionnaire was structured around five key dimensions: (a) knowledge and previous experience in AI, (b) perception of the benefits and applications of AI in education, (c) AI training, and (d) expectations of the courses and (e) impact on teaching practice. Validation was performed through expert judgment, which ensured the internal validity and reliability of the instrument. Statistical analyses, which included measures of central tendency, dispersion, and internal consistency, yielded a Cronbach's alpha of .953, indicating excellent reliability. The findings reveal a generally positive attitude towards AI in education, emphasizing its potential to personalize learning and improve academic outcomes. However, significant variability in teachers' training experiences underscores the need for more standardized training programs. The validated questionnaire emerges as a reliable tool for future research on teachers' perceptions of AI in educational contexts. From a practical perspective, the validated questionnaire provides a structured framework for assessing teacher training programs in AI, offering valuable insights for improving educational policies and program design. It enables a deeper exploration of educational AI, a field still in its early stages of research and implementation. This tool supports the development of targeted training initiatives, fostering more effective integration of AI into educational practices.