An Investigation of Factors Influencing Middle School Teachers Job Satisfaction: A Case Study of a Middle School in Dazhou City

Universities preparing graduates for technology-enabled financial services need to understand how digital learning conditions relate to students’ career readiness. This study examines the associations of university-based Digital Financial Learning Ecosystem Quality with perceived FinTech Career Readiness among Vietnamese business students. Drawing on Social Cognitive Theory and Social Cognitive Career Theory, ecosystem quality is modelled as a reflective–formative higher-order construct comprising Digital Academic Support, the Digital Learning Environment, and Digital Teaching Innovation. Cross-sectional survey data from 341 students recruited through nonprobability convenience sampling via networks centred on northern Vietnam were analysed using partial least squares structural equation modelling and a disjoint two-stage procedure.All three ecosystem dimensions made significant formative contributions, with the digital learning environment showing the largest estimated weight. Higher ecosystem quality was positively associated with self-efficacy and learning motivation, and self-efficacy was positively associated with motivation. Motivation and career orientation were positively associated with perceived readiness, with motivation having the larger estimated direct coefficient. Career orientation showed no significant additional association with motivation after accounting for ecosystem quality and self-efficacy. Ecosystem quality was indirectly associated with readiness through motivation and through the sequential pathway involving self-efficacy and motivation. The model explained 41.5% of the variance in perceived readiness.The study contributes an integrated operationalisation of university-based digital financial learning quality and distinguishes learning-related associations from those of career orientation. The findings inform potential priorities for coordinating digital platforms, relevant financial content, academic support, practical learning, and competency-based career guidance. For universities and financial institutions, the study offers evidence to guide collaboration on graduate preparation and a foundation for evaluating how perceived readiness relates to demonstrated workplace competence.

This study examined technological self-efficacy and classroom technology use among early childhood teachers at Cabangahan Elementary School, Siaton, Negros Oriental. Employing a quantitative descriptive-correlational design, the researchers collected self-reported data from five teachers using an expert-reviewed, Google Forms questionnaire. Descriptive frequencies, percentages, and five-point weighted means were used to characterize teachers’ profiles, basic technology skills, confidence in pedagogical integration, troubleshooting ability, frequency of technology use, diversity of digital tools, and perceived effects on children’s learning and engagement. The reported mean scores were 4.56 for basic technology skills, 4.56 for pedagogical integration, and 4.52 for technical troubleshooting, all interpreted as highly confident. Classroom technology use was rated 4.60 for frequency, 4.16 for diversity of tools, and 4.76 for perceived learning engagement. The study reported a very strong positive Pearson correlation between self-efficacy and classroom technology implementation (r = .94); no corresponding significance test was provided. Results suggest that the participating teachers perceived themselves as technologically capable and frequent users of digital resources, although the range of tools used was comparatively limited. The proposed action plan prioritizes device access, technical support, targeted professional learning, and classroom monitoring. Given the five-person, single-school sample and reliance on self-report, the findings should be interpreted as local descriptive evidence, not as proof of causal effects on children’s outcomes.

This study aimed to examine the role of self-efficacy and pressure of coach expectations in predicting the performance of adolescent athletes. This study used a cross-sectional survey design involving 142 athletes aged 16–19 years from regional and national sports clubs. Data analysis included Pearson correlation test, independent-samples t-test, and multiple linear regression. The results showed that self-efficacy was positively and significantly associated with athlete performance, while coach expectation pressure was negatively and significantly related to athlete performance. In addition, there were differences in performance by gender, with male athletes reporting higher performance scores than female athletes. When gender was included as a control variable in the regression model, self-efficacy and coach expectations pressure remained significant predictors of athlete performance. Overall, these findings suggest that internal psychological factors and pressures from the sports environment play a role in explaining variations in adolescent athlete performance. This study emphasizes the importance of strengthening self-efficacy and the application of realistic and supportive expectations of coaches in the process of coaching athletes. Further longitudinal research is needed to examine this relationship in more depth.

Background: Fresh graduates face an increasingly difficult school-to-work transition, while artificial intelligence (AI) has become a routine study and job-search companion; yet how the intention to use AI translates into employability, and through which mechanisms, remains unclear. Objective: Grounded in Social Cognitive Theory, this study tests whether behavioral intention to use AI is associated with self-perceived graduate employability directly and indirectly through career adaptability and job search self-efficacy, and whether AI self-efficacy and AI trust moderate these paths. Methods: A cross-sectional online survey of 612 Indonesian fresh graduates who use AI for career preparation was analyzed with partial least squares structural equation modeling (PLS-SEM). Results: AI use intention positively predicted career adaptability (β = 0.305) and job search self-efficacy (β = 0.249), and both resources predicted self-perceived employability. The indirect paths through both resources were significant, and a direct effect of AI use intention on employability remained, indicating partial mediation. AI self-efficacy and AI trust showed significant main effects on their resources, while the interaction-related indirect effects were not significant. Conclusion: AI use intention is associated with self-perceived employability through career adaptability and job search self-efficacy. The cross-sectional findings do not establish causality. Educational institutions and career-service units may use these findings to inform structured AI-supported occupational exploration, skills-gap analysis, résumé refinement, and interview rehearsal, while encouraging critical verification of AI outputs.

The article examines the potential of mindfulness exercises for promoting students’ well-being and improving the effectiveness of English language teaching in higher education institutions of Ukraine. The relevance of the study is due to the increasing levels of stress, anxiety, emotional exhaustion, and reduced motivation among students, particularly in the context of the ongoing war in Ukraine, which highlights the need for educational approaches that support both academic achievement and psychological well-being. The paper reviews contemporary theoretical and empirical research on mindfulness, outlines its core principles, and analyses their application to the foreign language classroom. Particular attention is paid to the contribution of mindfulness to reducing foreign language anxiety, strengthening emotional regulation, increasing resilience, motivation, self-efficacy, concentration, memory, communication skills, and speaking performance. The article also discusses the pedagogical principles underlying effective mindfulness instruction, including intention, attention, attitude, inquiry-based learning, and the creation of a supportive and non-judgemental learning environment. Furthermore, the principles of non-judgement, acceptance, beginner’s mind, patience, non-striving, trust, letting go, and compassion are interpreted in relation to English language learning. Based on the analysed literature, the paper proposes a set of practical mindfulness activities that can be integrated into English language lessons, including mindful breathing, listening, writing, conversations, body scanning, movement, grounding, visualisation, art practices, and savouring. These activities may be used as lesson warm-ups, fillers, transitions, or independent learning tasks to foster students’ emotional well-being while simultaneously developing their communicative competence. It is concluded that mindfulness represents a valuable pedagogical approach capable of creating psychologically safe and engaging learning environments that support both language acquisition and personal development.