Introduction In the rapidly evolving landscape of higher education, the demand for personalized and data driven career guidance has become increasingly critical. Traditional career counseling methods often rely on standardized assessments and static recommendations, which fail to…
Jilin Zou, Fang Yuan, Silin Zhou, Jiaqin Yang, Chunlei Liu
Background and objective Traditional creativity assessments are limited by subjectivity and high labor costs. Although machine learning (ML) offers objective alternatives, its application to EEG-based creativity evaluation remains scarce. This study aimed to classify high and low…
Yukun MEI, Sarawadee Phuchomsri, Jiyu Li
This article develops a cross-cultural theoretical model of moral-psychological transformation by reinterpreting Confucian self-cultivation as a system of ritualized embodiment. Situated within theoretical and philosophical psychology, the article asks how bodily discipline, ritu…
Gilvano Amorim Oliveira, Cláudio Romualdo, Wanderlei Abadio de Oliveira, Laura Soares da Silva, Luciana Bertoldi Nucci, Adriana Scatena, et al.
Introduction Few studies have examined the physical complaints, emotional aspects, behavioral indicators, and quality of life associated with series watching (PCSW) across cultural contexts. Methods This multicenter, cross-sectional study investigated latent profiles of PCSW and…
Yan Cheng, Xinran Liu, Haibo Liu
Introduction The integration of Generative Artificial Intelligence (GenAI) into higher education has raised important questions regarding its influence on student learning outcomes. Drawing on Self-Regulated Learning (SRL) theory, this study examines how learning motivation (LM)…
Hongqing Huang, Qiongxue Zhao, Buling Xia
Background Generative artificial intelligence is increasingly embedded in learning as a source of explanation, feedback, and interactive support. However, it remains unclear how such support shapes learners' cognitive processing and their subsequent willingness to continue learni…