Geonho Na¹, Ryewon Ma^2,*, Heetae Cho^1,*

International Journal of Mental Health Promotion, Vol.27, No.12, pp. 1867-1882, 2025, DOI:10.32604/ijmhp.2025.073087 - 31 December 2025

Abstract Background: Academic achievement is an important indicator of student development, and its pursuit should be considered alongside students’ mental health and overall quality of life. Traditional martial arts, as an educational activity that emphasizes self-discipline, communal values, and positive emotional experiences, may support key psychological factors related to learning, such as optimism, school belonging, and well-being. However, how these factors are connected to academic achievement has not been fully examined. Therefore, this study investigated the associations between these psychological resources and academic achievement among students participating in traditional martial arts training. Methods: Data were collected from… 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 >

Shaoying Liu^1,2,#, Qian Yu^3,#, Md Mahbub Hossain⁴, Scott Doig⁵, Ran Bao⁶, Yaping Zhao⁷, Jin Yan^8,*, Xun Luo³, Jiaxuan Yang³, Arthur F. Kramer^9,10, Liye Zou³

International Journal of Mental Health Promotion, Vol.24, No.1, pp. 13-24, 2022, DOI:10.32604/IJMHP.2021.017660 - 20 December 2021

Abstract This research is designed to investigate the relationship between the 24-h movement guidelines (24-HMG) and self-reported academic achievement (AA) using nationally representative data derived from the 2019 U.S. National Youth Risk Behaviour Survey. A multiple-stage cluster sampling procedure has been adopted to ensure a representative sample (N = 9127 adolescents; mean age = 15.7 years old; male% = 49.8%). Logistic regression has been adopted to obtain the odds ratio (OR) regarding the associations between adherence to 24-HMG and AA while controlling for ethnicity, body mass index, sex and age. The prevalence of meeting the 24-h… More >