AIMC Topic: Students

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Psychological safety and trust as drivers of teachers' continued use of AI tools in classrooms.

Scientific reports
Despite AI tools hold significant potential to enhance English language teaching in primary education, their sustained adoption by teachers remains inconsistent. A key gap in current research is the lack of understanding of how psychological factors ...

Near viewing behaviors predict educational system in a machine learning model.

Scientific reports
Intensive education systems are believed to contribute to high rates of myopia. This study examined whether near-viewing behaviors in college students differ based on their pre-college educational systems and whether these behaviors can be used to cl...

Predicting art university students' entrepreneurial intention: A hybrid SEM-ANN approach.

PloS one
In recent years, academics and policymakers have increasingly focused on entrepreneurial behavior among university students. While existing studies have explored the entrepreneurial intention (EI) of students from various academic disciplines, few ha...

University english teaching evaluation using artificial intelligence and data mining technology.

Scientific reports
This work intends to drive reform and innovation in English teaching evaluation and support personalized English instruction. It utilizes deep learning (DL) and artificial intelligence (AI)-driven data mining technology to explore a reliable and effi...

The role of personality traits in predicting educational use of generative AI in higher education.

Scientific reports
Generative Artificial Intelligence (Gen-AI) systems offer significant opportunities for personalized learning in higher education. Studying the effects of personality traits on the use of Gen-AI is crucial for understanding the role of individual dif...

Acceptance of AI-Powered Chatbots Among Physiotherapy Students: International Cross-Sectional Study.

JMIR medical education
BACKGROUND: Artificial intelligence-powered chatbots (AI-PCs) are increasingly integrated into educational settings, including health care disciplines. Despite their potential to enhance learning, limited research has investigated physiotherapy (PT) ...

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...