AIMC Topic: Students

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The analysis of generative adversarial network in sports education based on deep learning.

Scientific reports
The importance of mental health is increasingly emphasized in modern society. The assessment of mental health qualities among college and university students as the future workforce holds significant significance. Therefore, this study, aiming to str...

Use of machine learning for simplification of University Personality Inventory (UPI).

Acta psychologica
BACKGROUND: Rapid diagnosis of mental health problems is crucial for college students. The University Personality Inventory (UPI) is a commonly used tools for assessing mental health in college students; however, it has certain limitations. This stud...

The effectiveness of using artificial intelligence in improving academic skills of school-aged students with mild intellectual disabilities in Saudi Arabia.

Research in developmental disabilities
WHAT THIS STUDY ADDS: Teaching academic skills to students with intellectual disabilities can be a challenge for educators. This study explored the role of AI in the field of special education and provided a novel framework for educational integratio...

Teaching design students machine learning to enhance motivation for learning computational thinking skills.

Acta psychologica
The integration of computational thinking (CT) to enhance creativity in design students has often been underexplored in design education. While design thinking has traditionally been the cornerstone of university design pedagogy and remains essential...

Audio-visual aesthetic teaching methods in college students' vocal music teaching by deep learning.

Scientific reports
In recent times, characterized by the rapid advancement of science and technology, the educational system has continuously evolved. Within this modern educational landscape, Science, Technology, Engineering, Arts, and Mathematics (STEAM) education ha...

Predictive analysis of bullying victimization trajectory in a Chinese early adolescent cohort based on machine learning.

Journal of affective disorders
BACKGROUND: The development of bullying victimization among adolescents displays significant individual variability, with general, group-based interventions often proving insufficient for partial victims. This study aimed to conduct a machine learnin...

The relationship between artificial intelligence anxiety and unemployment anxiety among university students.

Work (Reading, Mass.)
BackgroundThe idea that people will lose their jobs because of robots with artificial intelligence is one of the biggest recent concerns about artificial intelligence technology. There are predictions that unemployment will increase with the introduc...

Assessment of non-fatal injuries among university students in Hainan: a machine learning approach to exploring key factors.

Frontiers in public health
BACKGROUND: Injuries constitute a significant global public health concern, particularly among individuals aged 0-34. These injuries are affected by various social, psychological, and physiological factors and are no longer viewed merely as accidenta...

How sociodemographic factors relate to trust in artificial intelligence among students in Poland and the United Kingdom.

Scientific reports
The article aims to determine the sociodemographic factors associated with the level of trust in artificial intelligence (AI) based on cross-sectional research conducted in late 2023 and early 2024 on a sample of 2098 students in Poland (1088) and th...

Machine learning insights into scapular stabilization for alleviating shoulder pain in college students.

Scientific reports
Non-specific shoulder pain is a common musculoskeletal condition, especially among college students, and it can have a negative impact on the patient's life. Therapists have used scapular stabilization exercises (SSE) to enhance scapular control and ...