Search Results (1,256)

Background/Objectives: Obesity among university students is a growing concern, often influenced by biological, psychological, and social factors. Few studies in Saudi Arabia have addressed this issue using a comprehensive framework. This study aims to examine the prevalence of obesity and its biopsychosocial predictors among university students, as well as their perceptions, behaviors, and comorbidities. Methods: A cross-sectional study was conducted at Jazan University during the 2024–2025 academic year. A total of 819 undergraduate students completed a structured, self-administered Arabic questionnaire. The tool assessed sociodemographic variables, body mass index (BMI) (calculated from self-reported height and weight), biological and psychological factors, social influences, lifestyle behaviors, and comorbidities. Bivariate associations were tested using chi-square analyses, and multivariate logistic regression was used to identify independent predictors of obesity. Results: The prevalence of obesity was 19.6%, and 22.6% of students were overweight. Obesity was significantly more prevalent among males (26.7%) than females (9.6%, p < 0.001) and among students aged 24 years and above (24.0%, p = 0.024). Independent predictors of obesity included being overweight in childhood (AOR = 5.23, 95% CI: 3.47–7.90), belief in a genetic predisposition (AOR = 4.66), emotional eating (AOR = 2.57), academic or personal stress (AOR = 5.36), and social pressures related to body image (AOR = 2.96). Comorbidities significantly associated with obesity included high cholesterol (AOR = 5.40), sleep disorders (AOR = 2.99), and joint pain (AOR = 1.96). More than 80% of students with obesity reported current or past weight loss attempts, and nearly 60% received medical advice to lose weight. Conclusions: Obesity among Jazan University students is significantly associated with male gender, early-life weight history, emotional and academic stress, and social pressures. Students with obesity also experience a higher burden of comorbid conditions, even at a young age. These findings highlight the need for integrated, student-centered interventions that address both the psychological and social dimensions of weight management in university settings. Full article

This narrative inquiry explores a vibrant classroom knowledge community in a Chinese normal university. By examining the teacher’s interactions, we analyze the community’s development through three perspectives: (1) the author’s narrative of the course outline, (2) the teacher’s narrative of classroom culture, and (3) students’ narratives of their growth. The author presents a student-centered model and seven steps for enacting the course, outlining the environment for cultivating the knowledge community. The teacher’s narrative reveals clues to his success, emphasizing his use of storytelling to foster the community and share educational ideas. Students’ narratives reflect their growth, validating the classroom as a safe space for development and language learning. The significance of this research is that the classroom knowledge community consisted of the teacher, his undergraduate students, and his post-graduates. The three layers existed because of this unrestrained character, devoid of conflicts of interest, created a safe place for students’ development. This research study adds to the literature on how knowledge communities form in school contexts. It focuses on a particular space and time and involves multiple layers of participants, which is prerequisite to the conceptualization of classroom knowledge community. This research has important implications for college language education. Full article

Science teachers continue to face decreased motivation, lower achievement levels, and decreased enrollment in post-secondary science programs. Teachers ask themselves this question: How do I motivate my students to achieve? Student-centered pedagogies, such as an in-depth pedagogy informed by Self-Determination Theory, can improve students’ motivation by addressing students’ basic psychological needs for autonomy, competency, and relatedness. Problem-based learning presents students with relevant situations and actively engages them in developing plausible solutions to problems. Environmental sustainability encompasses issues concerning our ecological and social environments. Teachers can focus on these issues to develop authentic problem-based learning units that offer a student-relevant pathway to improve motivation and scientific literacy. We propose a pedagogical framework, drawing on Self-Determination Theory, to promote students’ motivation to engage keenly with environmental sustainability education through problem-based learning. This framework is designed for secondary science classrooms to inform science teachers’ pedagogical practice. Full article

Meaning-centered coping is regarded as an effective strategy for managing stress and preventing mental disorders. However, it remains unclear how it influences mental health by affecting both the self and social connection dimensions. This study investigated 856 college students through a questionnaire, examining how meaning-centered coping affects their mental health (depression and anxiety). Additionally, this study explored the roles of interdependent self-construal and school connectedness as mediators in this process. The results indicate that meaning-centered coping influences mental health either via the mediation of school connectedness alone (indirect effect for depression: β = −0.08, 95% CI [−0.11, −0.04]; for anxiety: β = −0.06, 95% CI [−0.10, −0.03]) or via the sequential mediation of interdependent self-construal and school connectedness (indirect effect for depression: β = −0.08, 95% CI [−0.11, −0.05]; for anxiety: β = −0.06, 95% CI [−0.10, −0.04]). This study reveals that college students who are skilled at seeking and reconstructing their sense of meaning can effectively cope with stress and alleviate related depression and anxiety. This coping mechanism operates through perceived school connectedness or through activated interdependent self-construal followed by perceived school connectedness, subsequently reducing anxiety and depression induced by chronic stress. This study theoretically deepens the comprehension of the mechanism on meaning-centered coping, while practically, the findings provide valuable insights for educating training college students to leverage the wisdom of meaning theory to sustain their mental health in future challenges. Full article

Digital transformation has profoundly impacted engineering education, demanding new pedagogical approaches that ensure effective and sustainable learning. Educational psychology plays a fundamental role in strategically integrating educational technologies, fostering more inclusive, interactive, and efficient learning environments. This article explores the intersection of technological innovation, engineering education, and educational psychology, analyzing how digital tools such as Artificial Intelligence, virtual reality, gamification, and remote laboratories can optimize the teaching–learning process. It also examines the psychopedagogical impact of these technologies, addressing challenges like cognitive load, student motivation, digital accessibility, and emotional well-being. Finally, the article presents guidelines for sustainable implementation aligned with the Sustainable Development Goals (SDGs), promoting efficient, equitable, and student-centered education. As a theoretical and exploratory study, it also points to directions for future empirical investigations and practical applications. The insights provided offer strategic guidance for academic managers and educational policymakers seeking to implement sustainable, inclusive, and pedagogically effective digital innovation in engineering education. Full article

The growing prevalence of AI chatbots in everyday life has prompted educators to explore their potential applications in promoting student success, including support for classroom engagement and communication. This exploratory study emerged from semester-long observations of class participation apprehensions in an introductory educational psychology course, examining how chatbots might scaffold students toward active and independent classroom contribution. Four students experiencing situational participation anxiety voluntarily participated in a pilot intervention using AI chatbots as virtual peer partners. Following comprehensive training in AI use and prompt design given to the entire class, participants employed systematic consultation frameworks for managing classroom discourse trepidations. Data collection involved regular instructor meetings documenting student experiences, challenges, and developmental trajectories through qualitative analysis emphasizing contextual interpretation. While students reported general satisfaction with chatbot integration, implementation revealed three critical complexities: temporal misalignment between AI consultation and real-time discussion dynamics; feedback inflation creating disconnects between AI reassurance and classroom reception; and unintended progression from supportive scaffolding toward technological dependency. Individual outcomes varied, with some students developing independence while others increased reliance on external validation. AI-assisted participation interventions demonstrate both promise and limitations, requiring careful consideration of classroom dynamics. Effective implementation necessitates rehearsal-based rather than validation-focused applications, emphasizing human mentorship and community-centered approaches that preserve educational autonomy while leveraging technological scaffolding strategically. Full article

Higher education in tourism plays a pivotal role in the development of the tourism sector in Portugal—one of the country’s most vital economic pillars. In recent years, there has been growing interest in the adoption of innovative teaching methodologies by higher education institutions, aiming to foster more dynamic and student-centered learning environments. This article analyzes, through a qualitative approach grounded in educational and social science research, the main pedagogical and didactic strategies employed in leading tourism programs across Portugal. Drawing on a content analysis of curricular unit descriptions and all relevant public pedagogical information available on official institutional websites, this study provides a critical overview of current didactic practices. Finally, the research reflects on the degree to which innovative teaching and research practices are integrated and discusses their alignment with recognized international standards and best practices. This study contributes to bridging a significant research gap by systematically linking pedagogical practice in Portuguese tourism programs with global educational standards. Full article

This study explores how Black student leaders (BSLs) at public historically white institutions (HWIs) in Florida and Georgia navigate racial battle fatigue (RBF) in the context of anti-DEI legislation. Amid rising political hostility toward diversity, equity, and inclusion (DEI) efforts, this research examines the lived experiences of 11 BSLs as they respond to racialized campus climates that are increasingly ambiguous and unsupportive. Using a critical qualitative approach, data were collected through two in-depth interviews per participant and analyzed using inductive and deductive coding. Four major findings emerged: (1) BSLs experience heightened psychological, physiological, and emotional forms if stress linked to their identity and leadership roles; (2) anti-DEI policies contribute to institutional erasure and confusion; (3) students express emotional withdrawal, hypervigilance, and disillusionment with performative leadership; (4) students employ culturally grounded coping strategies centered on self-care, spirituality, and community. This study underscores that BSLs are both empowered and burdened by their leadership, especially under politically restrictive conditions. The findings call for student affairs educators to prioritize engagement and belonging and offer identity-affirming support. Further, scholars with academic freedom are urged to continue documenting racialized student experiences. These insights are critical to protecting Black student leadership and equity-centered educational transformation. Full article

Data mining-based student consumption behavior analysis is an important part of smart campus construction, which could find students’ eating patterns and consumption levels. Therefore, data mining-based student consumption behavior analysis became a hot topic both in research and industry areas. For an increasing amount of data, traditional data mining algorithms are not suitable. The clustering algorithm is becoming more and more important in the field of data mining, but the traditional clustering algorithm does not take the clustering efficiency and clustering effect into consideration. In this paper, the algorithm based on k-means and clustering by fractional-order firefly algorithm (FFA-k-means), which optimizes the clustering centers algorithm, is proposed. This method is used to cluster students from colleges. The experiment shows that the algorithm proposed in this paper has better clustering results compared with the traditional k-means clustering algorithm. Additionally, through the analysis results, it can be found that the problem of the group of students with too few times of consumption, the problem of a low number of students’ consumption of three meals, and the proportion of living diets is too low. The causes and characteristics of these problems are used as a reference for colleges to take corresponding measures timely. Full article

The rapid spread of artificial intelligence (AI) in education means that students need to master both AI literacy and personal agency. This study situates a sample of 425 Slovenian secondary technical students within a three-tier framework that maps psychological empowerment onto AI literacy outcomes within a cultural–historical activity system. The agency competence assessments yielded four profiles of student agency, ranging from fully empowered to largely disempowered. The cluster membership explained significant additional variance in AI literacy scores, supporting the additive empowerment model in an AI-rich vocational education and training context. The predictive modeling revealed that while self-efficacy, mastery-oriented motivations, and metacognitive self-regulation contributed uniquely—though small—to improving AI literacy, an unexpectedly negative relationship was identified for internal locus of control and for behavioral self-regulation focused narrowly on routines, with no significant impact observed for grit-like perseverance. These findings underscore the importance of fostering reflective, mastery-based, and self-evaluative learning dispositions over inflexible or solely routine-driven strategies in the development of AI literacy. Addressing these nuanced determinants may also be vital in narrowing AI literacy gaps observed between diverse disciplinary cohorts, as supported by recent multi-dimensional literacy frameworks and disciplinary pathway analyses. Embedding autonomy-supportive, mastery-oriented, student-centered projects and explicit metacognitive training into AI curricula could shift control inward and benefit students with low skills, helping to forge an agency-driven pathway to higher levels of AI literacy among high school students. The most striking and unexpected finding of this study is that students with a strong sense of competence—manifested as high self-efficacy—can achieve foundational AI literacy levels equivalent to those possessing broader, more holistic agentic profiles, suggesting that competence alone may be sufficient for acquiring essential AI knowledge. This challenges prevailing models that emphasize a multidimensional approach to agency and has significant implications for designing targeted interventions and curricula to rapidly build AI literacy in diverse learner populations. Full article

Background and Objectives: During exam sessions, many students experience high levels of stress caused by the large volume of material to study, tight deadlines, and pressure to achieve top grades. This study aimed to examine the relationship between academic stress, sleep disturbances, and eating behaviors by using validated questionnaires administered to a student sample. As stress levels increased, the data revealed a higher frequency of insomnia symptoms and disordered eating, including behaviors such as compulsive eating and irregular meal patterns. Materials and Methods: This cross-sectional, correlational study was conducted on a convenience sample of 317 university students from various academic centers across Romania. Participants were recruited via online distribution of a self-administered questionnaire during a four-month period, including exam sessions. The survey included the Perceived Stress Scale (PSS), the Insomnia Severity Index (ISI), and the Eating Disorder Examination Questionnaire (EDE-Q), alongside additional items assessing perceived links between stress, sleep, and eating behaviors, and the use of medication. Data were analyzed using SPSS with Spearman correlations, t-tests, and linear regression. Results: Statistical analyses revealed significant and positive associations between perceived stress levels and insomnia, as indicated by Spearman’s correlation (p < 0.01). A similar significant correlation was identified between perceived stress and disordered eating behaviors among students. Specifically, the feeling of being overwhelmed by academic workload showed a strong positive correlation with a lack of control over eating behaviors (r = 0.568). Furthermore, linear regression analysis confirmed a significant predictive relationship between feeling overwhelmed and the tendency to eat excessively beyond initial intentions, with a standardized regression coefficient B = 0.581 (p < 0.001). A separate regression analysis focusing on exam-related stress and episodes of compulsive eating behavior demonstrated a comparable result (B = 0.573, p < 0.001), indicating a robust positive association. Additionally, independent samples t-tests demonstrated that students experiencing high levels of stress during the exam period reported significantly greater difficulties with sleep initiation and higher levels of disordered eating compared to their peers with lower stress levels. The difference in insomnia scores was highly significant (t = 11.516, p < 0.001), as was the difference in eating behavior scores (t = 10.931, p < 0.001). Conclusions: These findings underscore the need for emotional support services and effective stress management strategies, enabling students to navigate academic demands without compromising their mental or physical well-being. Full article

The model upon which acceptance and commitment therapy is based posits that its outcomes are mediated by increased psychological flexibility as a core process. Of the six subprocesses contributing to psychological flexibility, self-as-context has been investigated the least due to a lack of adequate assessment. An evaluation of the psychometric properties of at least one such measure—the Self-as-Context Scale (SACS)—has been primarily limited to nonclinical populations. To address this omission, we administered the SACS to students (N = 132) seeking psychological services from their university counseling center. A confirmatory factor analysis failed to find an adequate fit for a previously reported two-dimensional model of the SACS, suggesting that only total scores may be appropriate in research and practice involving clinical samples. All 10 items satisfactorily loaded on a single factor to produce reliable total scaled scores, which were, as expected, significantly lower for our participants than those from a general college student sample. Even lower scores were obtained for outpatients of a psychology training clinic compared to our sample, which provided additional support for the known-groups validity of the SACS. The limitations of the findings and implications for further investigations of the measure’s psychometric and functional properties are discussed. Full article

Contemporary educational literature suggests that academic emotions and emotion regulation should be explored in tandem, while academic motivation has been discussed both as a self-regulation metacognitive construct and as a construct inherently tied to motivation. The present study uses a person-centered approach to explore profiles of university students based on academic emotions, emotion regulation, academic self-regulation, and approaches to learning. In addition, the impact of students’ profiles on academic performance (GPA) is investigated. The sample consists of 509 university students studying at a Greek university social science department. Cluster techniques and multivariate analysis of variance are used to identify the profiles and test for differences among them. Students were grouped in clusters that revealed both consistent and dissonant patterns of scores on the relevant variables. Analysis reveals three distinct profiles: (a) the “Anxious, effectively-engaged, and organized learners”, (b) the “Deep, Happy, and intrinsically motivated learners” and (c) the “Disengaged, Bored, and Suppressing Learners”. These profiles open new insights into educational literature, revealing links among learning, emotional, and motivational factors. Practical implications and directions for future research are discussed. Full article

Background: As population aging continues to accelerate, it is increasingly important to promote a positive perception of older adulthood from an early age. Service-Learning (SL), when integrated into Physical Education (PE), offers an opportunity to foster critical and prosocial awareness in primary school students, encouraging attitudes of respect and empathy toward older adults. Method: A qualitative study was conducted with 40 sixth-grade students who participated in an SL project at an adult day care center. Through weekly adapted PE sessions, the students engaged in direct interaction with older adults. Data were collected through reflective journals and analyzed using content analysis techniques. Results: The findings reveal a positive impact on students’ perceptions of older adults. Significant development of prosocial competencies, such as empathy, collaborative leadership, and communication skills, was observed. Furthermore, students expressed an enhanced sense of usefulness and social commitment. Conclusions: Intergenerational SL in PE is an effective strategy for improving academic learning, transforming attitudes, promoting civic values, and contributing to more inclusive education. Full article

Introduction: Thyroid cancer and obesity are prevalent conditions with significant global health implications. Differentiated thyroid cancer (DTC) is influenced by various molecular pathways, including those involving Transforming Growth Factor-Beta (TGF-β), a cytokine implicated in cell proliferation, differentiation, immune regulation, and fibrosis. Obesity (BMI > 30) has been associated with thyroid dysfunction and an increased incidence of nodular goiter. However, the relationship between TGF-β levels, thyroid malignancies, and metabolic disturbances remains unclear. This study aimed to analyze TGF-β1, -2, and -3 concentrations in blood serum before and after thyroidectomy in patients with DTC and obese individuals with nodular goiter to evaluate their potential role in thyroid pathology and obesity-related metabolic changes. Methods: A prospective study was conducted at a high-volume surgical center where over 700 thyroidectomy procedures are performed annually. Seventy-six consecutive patients (aged 26–79 years) were included: 21 with DTC and 55 with euthyroid nodular goiter. The latter group was subdivided based on BMI into obese (BMI > 30, n = 26) and non-obese (BMI < 30, n = 29) cohorts. Blood samples were collected preoperatively and on the first postoperative day for TGF-β quantification using the Bio-Plex Pro™ Human Cytokine Assay. Statistical analysis was performed using the Student’s t-test. Results: Postoperatively, patients with DTC exhibited significantly higher TGF-β1 (210,000 pg/mL), TGF-β2 (360 pg/mL), and TGF-β3 (170 pg/mL) levels compared to obese patients with nodular goiter (p < 0.05). In the nodular goiter group, BMI did not significantly influence preoperative TGF-β levels (p > 0.05). However, postoperatively, obese patients showed lower TGF-β1 (100,000 pg/mL) and TGF-β2 (30 pg/mL) levels compared to normal-weight individuals (p = 0.03), while no significant difference was observed for TGF-β3 (p > 0.05). Conclusions: The study highlights distinct alterations in TGF-β isoform levels in thyroid cancer and obesity. Elevated postoperative TGF-β levels in DTC patients suggest a role in tumor progression and response to surgical intervention. In contrast, the reduction of TGF-β1 and TGF-β2 levels in obese patients postoperatively may indicate a complex interplay between obesity, surgical stress, and cytokine regulation. These findings underscore the need for further research into the molecular mechanisms governing TGF-β dynamics in thyroid disorders and obesity, with potential implications for therapeutic interventions. Full article