Marta Reis^1,2,3,4,5,*, Catarina Noronha⁶, Gina Tomé^3,4,5, Marina Carvalho^4,6, Nuno Neto Rodrigues⁷, Margarida Gaspar de Matos^3,4,6

International Journal of Mental Health Promotion, Vol.27, No.10, pp. 1457-1470, 2025, DOI:10.32604/ijmhp.2025.070318 - 31 October 2025

Abstract Objectives: Academic Evaluation Anxiety is a significant psychological concern among adolescents, with well-documented impacts on academic performance, emotional well-being, and school engagement. In Portugal, recent evidence suggests growing pressure on students to achieve high academic standards, with psychosocial variables such as resilience, perceived support, and school environment playing a crucial role. This study aims to examine the prevalence and psychosocial predictors of Academic Evaluation Anxiety in Portuguese students, and to identify risk and protective factors that inform educational practice. Methods: This cross-sectional, quantitative study analysed data from 3083 students (5th to 12th grade) from the… More >

Hui Yang¹, Yijie Li^2,*

International Journal of Mental Health Promotion, Vol.27, No.9, pp. 1279-1300, 2025, DOI:10.32604/ijmhp.2025.068399 - 30 September 2025

Abstract Background: Foreign Language Anxiety (FLA) represents a substantial affective barrier that undermines cognitive performance, motivation, and retention in language learners. Emerging evidence highlights mindfulness-based interventions as promising strategies for enhancing emotional regulation and reducing anxiety across educational contexts. This review synthesizes current research on mindfulness as a psychological intervention, aims to evaluate its efficacy in alleviating FLA, and discusses its broader implications for health-focused educational policy and practice. Methods: Following PRISMA guidelines, we systematically reviewed studies examining the relationships between mindfulness and FLA. Our search of four major databases (November 2023) initially identified 346 articles… More >

Abu Saleh Musa Miah¹, Md Mahbubur Rahman Tusher², Md. Moazzem Hossain², Md Mamun Hossain², Md Abdur Rahim³, Md Ekramul Hamid⁴, Md. Saiful Islam⁴, Jungpil Shin^1,*

CMES-Computer Modeling in Engineering & Sciences, Vol.143, No.3, pp. 2573-2614, 2025, DOI:10.32604/cmes.2025.064168 - 30 June 2025

Abstract Advanced artificial intelligence technologies such as ChatGPT and other large language models (LLMs) have significantly impacted fields such as education and research in recent years. ChatGPT benefits students and educators by providing personalized feedback, facilitating interactive learning, and introducing innovative teaching methods. While many researchers have studied ChatGPT across various subject domains, few analyses have focused on the engineering domain, particularly in addressing the risks of academic dishonesty and potential declines in critical thinking skills. To address this gap, this study explores both the opportunities and limitations of ChatGPT in engineering contexts through a two-part… More >

Haohan Zhao¹, Xingchen Zhu², Wencan Li^3,*, Xin Lin^4,*

International Journal of Mental Health Promotion, Vol.27, No.4, pp. 517-540, 2025, DOI:10.32604/ijmhp.2025.062739 - 30 April 2025

Abstract Background: Despite increasing attention to parental educational anxiety in China’s educational system, the underlying mechanisms through which this anxiety affects adolescent academic performance remain unclear. This study aims to investigate how parental educational anxiety influences academic outcomes through depression and self-efficacy while considering the role of problematic social media use in today’s digital age. Methods: Data analysis was conducted using stratified random cluster sampling techniques. Participants for this study were recruited from middle and high schools in China. The sample comprised 2579 traditional two-parent families, each consisting of a pair of parents and one child.… More >

Shaya A. Alshaya^*

CMC-Computers, Materials & Continua, Vol.83, No.2, pp. 3075-3095, 2025, DOI:10.32604/cmc.2025.062360 - 16 April 2025

Abstract The integration of visual elements, such as emojis, into educational content represents a promising approach to enhancing student engagement and comprehension. However, existing efforts in emoji integration often lack systematic frameworks capable of addressing the contextual and pedagogical nuances required for effective implementation. This paper introduces a novel framework that combines Data-Driven Error-Correcting Output Codes (DECOC), Long Short-Term Memory (LSTM) networks, and Multi-Layer Deep Neural Networks (ML-DNN) to identify optimal emoji placements within computer science course materials. The originality of the proposed system lies in its ability to leverage sentiment analysis techniques and contextual embeddings… More >

Khuram Ali Khan¹, Saba Mubeen Ishfaq¹, Atiqe Ur Rahman², Salwa El-Morsy^3,*

CMES-Computer Modeling in Engineering & Sciences, Vol.142, No.1, pp. 501-530, 2025, DOI:10.32604/cmes.2024.057865 - 17 December 2024

Abstract Due to the numerous variables to take into account as well as the inherent ambiguity and uncertainty, evaluating educational institutions can be difficult. The concept of a possibility Pythagorean fuzzy hypersoft set (pPyFHSS) is more flexible in this regard than other theoretical fuzzy set-like models, even though some attempts have been made in the literature to address such uncertainties. This study investigates the elementary notions of pPyFHSS including its set-theoretic operations union, intersection, complement, OR- and AND-operations. Some results related to these operations are also modified for pPyFHSS. Additionally, the similarity measures between pPyFHSSs are More >

Simon White¹, David Tella¹, Bahrom Ostad¹, David Barquin², Caleigh Smith¹,Rebecca King³, Kirsten L. Greene¹, Tracy Downs¹, Nora G. Kern¹

Canadian Journal of Urology, Vol.31, No.1, pp. 11777-11783, 2024

Abstract Introduction: Grant funding to Urology has decreased over the last decade. Documented lack of gender and race diversity at the faculty level raises concerns for funding disparities. This study sought to characterize disparities based upon race and gender in National Institutes of Health (NIH) funding data to Urologic faculty.
Methods and materials: Data from 145 ACGME accredited Urology residency programs incorporating faculty gender and underrepresented in medicine (URiM) status was utilized. The NIH Research Portfolio Online Report Tool was queried between 1985 and 2023 for grants related to current Urology faculty. URiM status, gender, years of practice,… More >

Catalda Corvasce¹, Juan Pedro Martínez-Ramón^2,*, Francisco Manuel Morales-Rodríguez³, Lidia Pellicer-García⁴, Inmaculada Méndez², Cecilia Ruiz-Esteban²

International Journal of Mental Health Promotion, Vol.26, No.9, pp. 709-718, 2024, DOI:10.32604/ijmhp.2024.053599 - 20 September 2024

Abstract Background: Emotional attention refers to the capacity to recognize and properly respond to one’s and others’ emotional states. On another note, family is a primary source of socialization that influences the development of various social skills. In another line, adolescence is a complex stage that has been associated with emotional difficulties that could be related to competences such as prosociability and inclusion. It is inferred that through the family context and the attention that is processed, a series of competencies are transmitted to the youngsters, but this relationship is still unclear. For this reason, the… More >

Mozamel M. Saeed^*

Intelligent Automation & Soft Computing, Vol.39, No.2, pp. 213-231, 2024, DOI:10.32604/iasc.2024.043020 - 21 May 2024

Abstract The study aims to recognize how efficiently Educational Data Mining (EDM) integrates into Artificial Intelligence (AI) to develop skills for predicting students’ performance. The study used a survey questionnaire and collected data from 300 undergraduate students of Al Neelain University. The first step’s initial population placements were created using Particle Swarm Optimization (PSO). Then, using adaptive feature space search, Educational Grey Wolf Optimization (EGWO) was employed to choose the optimal attribute combination. The second stage uses the SVM classifier to forecast classification accuracy. Different classifiers were utilized to evaluate the performance of students. According to… More >

Tao Xu^1,*, Fangqiang Zuo¹, Kai Zheng^2,*

International Journal of Mental Health Promotion, Vol.26, No.2, pp. 93-103, 2024, DOI:10.32604/ijmhp.2023.043226 - 08 March 2024

Abstract Background: This study aimed to investigate the relationship between parental educational expectations and adolescent mental health problems, with academic pressure as a moderating variable. Methods: This study was based on the baseline data of the China Education Panel Survey, which was collected within one school year during 2013–2014. It included 19,958 samples from seventh and ninth graders, who ranged from 11 to 18 years old. After removing missing values and conducting relevant data processing, the effective sample size for analysis was 16344. The OLS (Ordinary Least Squares) multiple linear regression analysis was used to examine… More >