Title: EFL Learners’ Use of Automated Corrective Feedback in Saudi Tertiary Education

Abstract:This study investigated the effectiveness of automated written corrective feedback (AWCF) in supporting learning of English as a foreign language (EFL) among undergraduate students in Saudi tertiary education, with particular focus on how learners responded to and benefited from AWCF. Drawing on a mixed-methods approach, data were collected from students’ written drafts before and after using AWCF, as well as from a structured questionnaire designed to capture their perceptions and patterns of engagement. The findings revealed that AWCF significantly assisted students in identifying and revising grammatical and spelling errors, supporting claims about AWCF utility in enhancing surface-level linguistic accuracy. Moreover, students exhibited strong engagement with the tool, critically assessing its feedback- particularly in instances involving local proper nouns and context-specific language use. While students generally trusted AWCF, they did not accept all suggestions uncritically, reflecting the development of self-monitoring skills and greater writing autonomy. The findings underscore the essential role of teacher alongside AWCF, particularly in addressing higher-order writing concerns and promoting students’ critical thinking. The study recommends an integrated feedback approach that combines the advantages of both AWCF and teacher feedback to enhance learning outcomes.




Title: Implementation of English Curriculum Standards in Chinese Senior High Schools Using Structural Equation Modelling

Abstract:Regional disparities in English education in various parts of China are apparent among students at senior high schools in the province of Sichuan, China. However, it is crucial to reach consistently high English standards across China to advance China’s economic development. To investigate the implementation of English curriculum standards (ECS) management in schools, this study used structural equation modelling to examine linguistic, teaching, social and assessment factors. Using a simple random-sampling technique, 384 respondents, including administrators, teachers and students from senior high schools in the urban and rural areas of Sichuan, completed a questionnaire. Statistical analysis was conducted using Statistical Package for the Social Science IBM-Analysis of Moment Structure. The findings showed that all four factors positively impacted the ECS, leading to gaps between the urban and rural education systems. These findings are instructive in terms of their contribution to means of improving curriculum development, implementation, and the application of English education in China.




Title: GAMIFICATION AND CLINICAL SIMULATION IN UNDERGRADUATE EMERGENCY MEDICAL EDUCATION: AN INTEGRATIVE REVIEW OF OUTCOMES

Abstract:Introduction: Undergraduate Emergency Medicine education requires innovative methodologies that enhance the acquisition of clinical competencies and student engagement. Clinical simulation and gamification are emerging strategies with promising applications in this context. Method: This Integrative Literature Review was conducted through a systematic search in the PubMed, Scopus, Web of Science, ERIC, and SciELO databases, including publications from 2020 to 2025 in English, Portuguese, and Spanish. Empirical studies investigating the use of clinical simulation and gamification in Emergency Medicine education and evaluating their pedagogical and clinical impacts were selected. Results: A total of 20 studies were included, demonstrating the effectiveness of clinical simulation in promoting active learning, formative assessment, and the development of technical and interpersonal skills. Gamification was found to be effective in increasing motivation, personalizing learning, and facilitating the integration of complex content, although contextual implementation remains challenging. Discussion: Clinical simulation stands out as an essential tool for students’ integral development by combining technical and ethical dimensions. Gamification, in turn, enhances the attractiveness and adaptability of the educational process but requires solid pedagogical grounding and curricular alignment. Methodological limitations and the need for longitudinal studies were identified. Final considerations: The findings highlight the transformative potential of these methodologies for medical education, emphasizing the importance of their reflective and structured incorporation into curricula. Investment in faculty development and further research is recommended to deepen the understanding of the real impact of these strategies on clinical practice.




Title: Development of a “Pictorial Values Scale for Children”: A Validity and Reliability Study

Abstract:The aim of this study is to develop a valid and reliable measurement tool—the Pictorial Values Scale for Children (PVSC)—to assess the level of awareness of values among preschool and primary school-aged children. Conducted using a descriptive survey design, the research process included the stages of content validity assessment, pilot testing, exploratory factor analysis (EFA), and confirmatory factor analysis (CFA). To establish content validity, expert opinions were obtained from ten specialists in the fields of values education, child development, and educational measurement and evaluation. A pilot study was then conducted with 250 primary school students, followed by EFA performed on data collected from a sample of 517 students. Results from the EFA revealed a two-factor structure comprising Social and Societal Values (SSV) and Personal, Moral, and Emotional Values (PMEV). This structure was further validated through CFA conducted with an independent sample of 500 students. The scale includes a total of 15 values: friendship, love, respect, patriotism, responsibility, justice, helpfulness, self-control, patience, honesty, compassion, diligence, empathy, family, and kindness. For each value, the scale includes five items—three correct and two distractors—evaluated using a symbol-based pictorial Likert-type format appropriate for children. In the net scoring system, points obtained from distractor items are subtracted from the total score to determine the student’s ability to correctly recognize and differentiate the value. The findings indicate that the PVSC demonstrates acceptable levels of content validity, construct validity, and internal consistency. The CFA fit indices (CFI = .98, RMSEA = .060, SRMR = .039) confirm the robustness of the two-factor model. In conclusion, the Pictorial Values Scale for Children is presented as a valid, reliable, and original instrument for measuring children's awareness of values.




Title: Factors affecting college life satisfaction and loneliness of early childhood education major college students in South Korea

Abstract:This study aimed to identify psychological factors that influence university life satisfaction and loneliness among university students majoring in early childhood education. A total of 96 undergraduate students from a four-year university in South Korea participated in the study. The variables examined included self-efficacy, self-esteem, resilience (with subcomponents: endurance of negative emotions, positive supportive relationships, sense of control, and autonomy), life satisfaction, and loneliness. Descriptive statistics, correlation analysis, and stepwise multiple regression analyses were conducted using SPSS 23.0. The results showed that life satisfaction and positive supportive relationships significantly predicted university life satisfaction, while self-esteem, life satisfaction, positive supportive relationships, and autonomy were significant negative predictors of loneliness. Interestingly, sense of control was positively associated with loneliness. These findings suggest that students' overall psychological well-being and the presence of supportive interpersonal relationships are critical for enhancing their satisfaction with university life and reducing feelings of loneliness. Based on the results, this study highlights the importance of implementing university-based programs that promote life satisfaction, social support, self-esteem, and autonomy among students. Practical implications and recommendations for psychological support and intervention programs in higher education settings are discussed.




Title: The moderating effects of regional GDP in the relationship between intellectual capital and marketing performance: A study of Chinese SMEs

Abstract:Intellectual capital has become an important aspect in determining a company's competitiveness in knowledge-based economies. However, little is known about how its different components, such as human, relational, structural, informational, and social capital, interact to influence marketing success, particularly among Chinese SMEs operating in a variety of regional economic environments. Previous research, which mostly focuses on large enterprises or certain industries, has not provided a complete understanding of how intellectual capital effects SME marketing outcomes in China's fragmented macroeconomic environment. This study closes this gap by experimentally examining the impact of five characteristics of intellectual capital on marketing performance, with a particular emphasis on the moderating role of regional GDP. Partial least squares structural equation modeling (PLS-SEM) was used with SmartPLS 4.0 to analyze survey data from 78 Chinese SMEs. This study provides both practical insights for SME resource allocation and theoretical breakthroughs in intellectual capital management under environmental heterogeneity. One moderating variable and a short sample size are among the drawbacks. In order to capture evolving relationships between intellectual capital and performance over time, future research should employ longitudinal designs, increase the sample size, and incorporate more contextual factors (such as company size and industry type). Informational and structural capital considerably improve marketing effectiveness, but regional GDP has no discernible moderating influence, emphasizing the importance of internal intangible assets over external economic conditions for Chinese SMEs.




Title: CURRICULUM CO-CREATION IN EDUCATING CITIES: PATHWAYS TO MEANINGFUL LEARNING, SUSTAINABILITY, AND INCLUSIVE SOCIETIES

Abstract:This article proposes an analysis of the concept of Educating Cities, exploring both formal and nonformal spheres of education and their essential role in the co-creation of curricula and practices within and beyond school contexts. The investigation centers on the pursuit of building sustainable societies through education, emphasizing the potential of cities as conducive environments for the implementation of innovative educational strategies. In this regard, the article examines how the cocreation of curricula and practices contributes to social sustainability, considering the diversity of urban contexts, its citizens and the school stakeholders? Methodologically, the corpus of analysis was constructed through content analysis. The findings reveal that cities provide a rich and diverse context for implementing such innovative strategies. The results suggest that Educating Cities play a fundamental role in promoting sustainable societies, specifically, through the co-creation of curricula and educational practices. The integration of formal and non-formal educational spheres, both within and beyond the school environment, emerges as an effective strategy to address contemporary challenges and prepare citizens for active participation in community life.




Title: Research on the Application of Data-Driven Smart Teaching in Programming Courses

Abstract:The insufficient data collection and low teacher-student interaction efficiency in programming courses are common problems encountered. In order to solve the problems, this study presents a data-driven smart teaching model (DD_STM) with a four-layers architecture, which are teaching interaction layer, data collection and storage layer, intelligent computing layer and intelligent decision application layer. Moreover, a smart teaching platform has been developed to support the implementation of DD_STM. Empirical study from “Foundations of Python Programming instruction” indicates that the smart teaching model significantly improves teacher-student interaction efficiency and promotes higher level of students learning participation. The positive outcomes may be attributed to the timely response from the smart platform and the effective feedback on students’ difficulties, which enhance students’ initiative in learning and thereby promote greater engagement in the learning process.




Title: The Role of Values Education in Addressing Peer Bullying Among Refugee Students: Challenges and Educational Strategies in Primary School

Abstract:This study explores the challenges primary school teachers face working with refugee children, focusing on peer bullying and the broader context of refugee students' integration into educational settings. The research highlights significant adaptation difficulties, communication barriers, and developmental disadvantages among refugee children. Nearly half of the refugee children reported communication issues, and many exhibited deficits in social-emotional and language development. The study also reveals a high prevalence of peer bullying, with 38.5% of refugee children engaging in bullying behavior and 48.7% being victims. Teachers emphasized the need for values education programs to address peer bullying, with 94.9% of participants supporting such initiatives. Love, respect, fairness, and friendship were identified as key values to be imparted. The study underscores the importance of comprehensive educational interventions, including teacher training, family involvement, and community awareness, to promote refugee children's social integration and well-being in primary schools.




Title: ARTIFICIAL INTELLIGENCE IN CARDIOLOGY: A BIBLIOMETRIC ANALYSIS OF BRAZILIAN RESEARCH

Abstract:This study presents a bibliometric analysis of Brazilian scientific production on the application of artificial intelligence (AI) in cardiology between 2013 and 2023. A total of 31 publications indexed in the Scopus database were analyzed, involving 334 authors, with a notable increase in studies after 2018. The most productive and influential researcher was Antonio Luiz Pinho Ribeiro, from UFMG. A high level of collaboration among authors was observed, forming clusters based on coauthorship. The main types of documents were journal articles, conference papers, and reviews, primarily in the fields of medicine and computer science. The most frequent publication source was Arquivos Brasileiros de Cardiologia, with the most cited work focusing on photoplethysmography signal analysis. Funding came mainly from national institutions such as CNPq and FAPEMIG. The most recurrent keywords were “artificial intelligence,” “machine learning,” and “cardiology.” International collaboration was strongest with the USA, China, and Portugal. The upward trend suggests growing interest and investment in the field.