We aimed to determine any factors like as smoking, being regular activity affect dietary glycemic index in university students. This study was carried out at Gazi University, Ankara, Turkey. The participants were 577 randomly selected Turkish healthy female university students aged 17-32 years. The survey included a questionnaire that assessed demographic, 3-day self-reported nutrient intake. The dietary intake was based on the of the recipients. The 3 days included 1 weekend day and the previous or next 2 days. A weighted GI was designed to the diet of the participants with the use of values from the 2002 international table of GI values. BMI was calculated from measurements of height and weight. The differences between living area (house or dormitory)/regular physical activity (do or not)/smoking/nutrition education and mean dietary glycemic index was determined by Independent Sample t-Test. Dietary glycemic index was found high (>70) in 98.4% of participants. Mean dietary glycemic index was found 85.1±6.80 and it was significantly (p<0.05) differences between participants staying house or dormitory, doing physical activity or not, smoking or not and educated on nutrition or not. Participant’s who are smoking, staying dormitory and no educated about nutrition dietary glycemix index was found high than who are not smoking, staying house, doing regular physical activity and educated on nutrition. Conclusion and Implication: It’s important that educated students on health and nutrition to prevent their diets content high glycemic index. It can be help to prevent obesity in the future.

The present study aims to explore the experiences of prospective physical education teachers on active gaming. The study, which used qualitative case study design enrolled 2 prospective physical education teachers (1 male, 1 female) who were included in extracurricular activities and physical education classes in 2015-2016 academic year. For data collection, semi-structured interview forms, diaries and extended field notes were used. For data analysis, the content analysis method was used: following the transcription process, coding was performed in two categories and themes and sub-themes were created that reflect common codes. The findings have revealed that according to prospective teachers, active gaming ensures active participation of students and facilitates classroom management in physical education classes, which, in turn contributes to the learning environment where every student can participate. It also has been found that active gaming in the extracurricular activities contributes to the arousal of the initial participation desire in students, and establishment of an environment suitable for the improvement of physical competence. According to prospective teachers, active gaming should be used not in every part, but in certain parts of classes or of extracurricular activities.

The purpose of the present study is to determine if high school students' character strengths composed of twenty-four different features, being virtuous including six dimensions and demographic characteristics predict risky behaviors. The participants of the study were 380 students aged between 14-19 years and enrolled in general high schools. The data was collected by using the Values in Action Inventory of Strengths for Young People and the Risky Behaviors Scale. From the findings, it was determined that the risk of school drop-out score was higher in the ninth grades and the male students had more risky behaviors compared to the their female counterparts. Moreover, it was also determined that the risky behaviors were significantly related to many character strengths. Besides this, as a result of the regression analyses, it was found that the character strengths predicted risky behaviors composed of the areas of anti-social behaviors, use of alcohol/cigarette, eating habits, suicide tendency and school leave at different levels. The findings were discussed within the context of adolescents’ psychological counseling needs and suggestionThe purpose of the present study is to determine if high school students' character strengths composed of twenty-four different strengths, virtues including six dimensions and demographic characteristics predict risky behaviors. The participants of the study were 380 students aged between 14-19 years and enrolled in general high schools. The data was collected by using the Values in Action Inventory of Strengths for Youth and the Risky Behaviors Scale. From the findings, it was determined that the risk of school drop-out score was higher in the ninth grades and the male students had more risky behaviors compared to their female counterparts. Moreover, it was also determined that the risky behaviors were significantly related to many character strengths. Besides this, as a result of the regression analyses, it was found that the character strengths predicted risky behaviors composed of the areas of anti-social behaviors, use of alcohol/cigarette, eating habits, suicide tendency and school dropout at different levels. The findings were discussed within the context of adolescents’ psychological counseling needs and suggestions were proposed.

Current research on self-efficacy beliefs of interdisciplinary science teaching indicates shortcomings in facing recent teaching challenges in secondary education and corresponding valid instruments. Thus, we designed the Self-Efficacy Beliefs of Interdisciplinary Science Teaching (SElf-ST) instrument based on a pedagogical content knowledge model for science teaching. We ensured the factorial validity of ten factors. To bring construct validity down to a round figure, we examined convergent and divergent validity in this paper. For answering the overall research question regarding arguments for the convergent and divergent validity of the interpretation of the SElf-ST instrument’s test values (and related hypotheses), we analyzed data of pre-service, trainee, and in-service biology, chemistry, and physics teachers (n = 590) in a cross-sectional study. While the strong latent correlations of the ten SElf-ST factors with self-efficacy beliefs of interdisciplinary science teaching in primary education (r = 0.40 – 0.63, p < 0.01) indicate convergent validity, the rather weak correlations with self-efficacy beliefs of general teaching (r = 0.17 – 0.54, p < 0.01), self-rated content knowledge in science (r = 0.13 – 0.40, p < 0.01), and perceived stress (r = -0.13 – -0.19, p < 0.01) support different divergent validity intensities. Thus, assumed relations within the nomological net surrounding the self-efficacy beliefs of interdisciplinary science teaching construct were confirmed for secondary education. In sum, we shed light on a rarely explored aspect of construct validity in science education research regarding self-efficacy beliefs. Doing so, we gained strong arguments that the SElf-ST instrument’s test values can serve as indicators of self-efficacy beliefs of interdisciplinary science teaching in secondary education.

The government has imposed social restrictions during the COVID-19 pandemic, affecting the education sector, including the early childhood school. Distance education offers different methods from the conventional methods, as the students are expected to gain the same skills, including critical thinking skills. Therefore, teachers must provide distance learning innovations using relevant learning media, such as multimedia-based learning. This research aims to assess the efficacy of multimedia learning in early childhood distance learning. This research is a quantitative model with a quasi-experimental pretest and posttest design. The data collection technique utilized questionnaires given to 30 samples of early childhood children. The data were statistically analyzed using SPSS software. The results confirmed that multimedia-based learning for distance learning could develop critical thinking skills in early childhood children during the COVID-19 pandemic. The results of this study offer exploration of learning strategies to improve children’s critical thinking.

COVID-19 and the expansion of distance learning pose new challenges to the educational system. Soft skills are imperative in this context, for children's effective and adaptive learning. The following study aims to discover teachers' representations by identifying their common conceptual framework of soft skills in primary school. Semi-structured interviews were conducted with teachers. The teachers' comments helped identify and define a framework of soft skills that would help children learn effectively. The results illustrate that the lack of practice of soft skills activities depends on the teachers' perceptions of the importance of their role in transmitting disciplinary knowledge. The study concluded that the lack of a clear and shared vision of soft skills influences the representations and practice of teachers.

This study aimed to explore the implementation and impact of the Flipped Learning Model (FLM) and STEM Approach in elementary education. The advancement of technology and the Covid-19 pandemic has increased the importance of e-learning, including in elementary schools. The literature review analyzed 193 academic works published in the past six years using NVivo, Mendeley, and VOSviewer software. The validity of the data was verified through the analysis of five online databases. The results showed that STEM research has been well-developed with innovative approaches that improve learning outcomes, while FLM research in elementary schools is limited. The study suggested that combining FLM with STEM Approach (FLM-SA) can optimize learning in the technological era. By integrating FLM-SA, students can engage in active learning experiences in class and acquire fundamental knowledge outside of class, offering a solution to e-learning challenges. The study emphasized the strong connection between FLM and STEM Approach and how they can support each other to enhance student learning.

Psychosocial and educational intervention approaches employ diverse treatment frameworks, most of which involve delivering some form of feedback to participants about their behavior. General conceptions of feedback are well-known to underlie mainstream therapeutic and educational approaches. Recently emerging ‘smart’ approaches also rely on feedback principles. However, little scholarship is available to stitch together evolving strands of feedback principles and no literature characterizes explicitly the diverse landscape of feedback practices employed in education or intervention science. This paper reviews intrinsic conceptions of feedback along with diverse cases of its use in intervention and education. Based on our consideration, we present a typology of feedback modalities that we hope will enrich the efforts of interventionists and educators to design treatment and educational frameworks incorporating feedback.

This research investigated the validity of measurement and causal model of online scam protection behavior (OSPB) among at risk Thai students. The sample comprised 286 high school students from three demonstration schools under the University. Data were analyzed using descriptive statistics, confirmatory factor analysis (CFA), and structural equation modeling (SEM). The factor loadings for all items satisfied the standard criteria with scores ranging from .40 to .80, item-total correlations ranging from .405 to .718, and Cronbach’s alpha coefficients ranging from .773 to .928. The modified model demonstrated a better fit with the empirical data (χ² = 47.62, df = 37, p = .113,  χ²/df = 1.287, RMSEA = .032, SRMR = .028, GFI = .97, CFI = 1.00, NFI = .99). All factors: a) awareness of online risks, b) inhibitory control, c) game-based learning, d) social support, and e) motivation to prevent online scams can predict 81% of OSPB. The motivation to prevent online scams strongly influenced OSPB, with an effect size of .60. Additionally, all factors can predict 88% of the motivation for online scam prevention, suggesting that Protection Motivation Theory (PMT) is a suitable framework for understanding and evaluating Thai students' preventive behaviors in online deception scenarios. This newly developed instrument is highly reliable and can be effectively used by researchers and educators to assess the risk of online fraud victimization among high school students.

Artificial intelligence (AI) has revolutionized higher education. The rapid adoption of artificial intelligence in education (AIED) tools has significantly transformed educational management, specifically in self-directed learning (SDL). This study examines the factors influencing Indonesian higher education students' intention to adopt AIED tools for self-directed learning using a combination of the Theory of Planned Behavior (TPB) with additional theories. A total of 322 university students from diverse academic backgrounds participated in the structured survey. This study utilized machine learning it was Artificial Neural Networks (ANN) to analyze nine factors, including attitude (AT), subjective norms (SN), perceived behavioral control (PBC), optimism (OP), user innovativeness (UI), perceived usefulness (PUF), facilitating conditions (FC), perception towards ai (PTA), and intention (IT) with a total of 41 items in the questionnaire. The model demonstrated high predictive accuracy, with SN emerging as the most significant factor to IT, followed by AT, PBC, PUF, FC, OP, and PTA. User innovativeness was the least influential factor due to the lowest accuracy. This study provides actionable insights for educators, policymakers, and technology developers by highlighting the critical roles of social influence, supportive infrastructure, and student beliefs in shaping AIED adoption for self-directed learning (SDL). This research not only fills an important gap in the literature but also offers a roadmap for designing inclusive, student-centered AI learning environments that empower learners and support the future of SDL in digital education.