AIMC Topic: Students

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Predicting academic performance with fuzzy logic in prospective physical education and sports teachers.

Scientific reports
Numerous factors contribute to student success in educational settings, with academic support and learning strategies identified as key influences. Existing research highlights that various academic assistance and individual learning approaches shape...

Generative AI-Powered Mental Wellness Chatbot for College Student Mental Wellness: Open Trial.

JMIR formative research
BACKGROUND: Colleges have turned to digital mental health interventions to meet the increasing mental health treatment needs of their students. Among these, chatbots stand out as artificial intelligence-driven tools capable of engaging in human-like ...

Teaching postsecondary students about the ethics of artificial intelligence: A scoping review protocol.

PloS one
The field of AI carries inherent risks such as algorithmic biases, security vulnerabilities, and ethical concerns related to privacy and data protection. Despite these risks, AI holds significant promise for social good, with applications ranging fro...

Machine learning-based academic performance prediction with explainability for enhanced decision-making in educational institutions.

Scientific reports
Education is crucial for the growth of effective life skills and the allocation of needed resources. Higher education institutions are adopting advanced technologies, such as artificial intelligence (AI), to enhance traditional teaching methods. Pred...

Decoding student cognitive abilities: a comparative study of explainable AI algorithms in educational data mining.

Scientific reports
Exploring students' cognitive abilities has long been an important topic in education. This study employs data-driven artificial intelligence (AI) models supported by explainability algorithms and PSM causal inference to investigate the factors influ...

Educational impacts of generative artificial intelligence on learning and performance of engineering students in China.

Scientific reports
With the rapid advancement of generative artificial intelligence (AI), its potential applications in higher education have attracted significant attention. This study investigated how 148 students from diverse engineering disciplines and regions acro...

An illustration of multi-class roc analysis for predicting internet addiction among university students.

PloS one
The internet is one of the essential tools today, and its impact is particularly felt among university students. Internet addiction (IA) has become a serious public health issue worldwide. This multi-class classification study aimed to identify the p...

Analysis of the mechanism of physical activity enhancing well-being among college students using artificial neural network.

Scientific reports
This study explores the impact mechanism of college students' sports behavior on their well-being by constructing an Artificial Neural Network (ANN) model. The study employs an ANN architecture that combines a Long Short-Term Memory (LSTM) network an...

Utilizing CBNet to effectively address and combat cyberbullying among university students on social media platforms.

Scientific reports
Cyberbullying can profoundly impact individuals' mental health, leading to increased feelings of anxiety, depression, and social isolation. Psychological research suggests that cyberbullying victims may experience long-term psychological consequences...

School-Based Online Surveillance of Youth: Systematic Search and Content Analysis of Surveillance Company Websites.

Journal of medical Internet research
BACKGROUND: School-based online surveillance of students has been widely adopted by middle and high school administrators over the past decade. Little is known about the technology companies that provide these services or the benefits and harms of th...