AIMC Topic: Universities
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The ChatGPT Fact-Check: exploiting the limitations of generative AI to develop evidence-based reasoning skills in college science courses.
Advances in physiology education
Jan 17, 2025
Generative large language models (LLMs) like ChatGPT can quickly produce informative essays on various topics. However, the information generated cannot be fully trusted, as artificial intelligence (AI) can make factual mistakes. This poses challenge...
Widespread use of ChatGPT and other Artificial Intelligence tools among medical students in Uganda: A cross-sectional study.
PloS one
Jan 9, 2025
BACKGROUND: Chat Generative Pre-trained Transformer (ChatGPT) is a 175-billion-parameter natural language processing model that uses deep learning algorithms trained on vast amounts of data to generate human-like texts such as essays. Consequently, i...
Generative AI in Higher Education: Balancing Innovation and Integrity.
British journal of biomedical science
Jan 9, 2025
Generative Artificial Intelligence (GenAI) is rapidly transforming the landscape of higher education, offering novel opportunities for personalised learning and innovative assessment methods. This paper explores the dual-edged nature of GenAI's integ...
What is the influence of psychosocial factors on artificial intelligence appropriation in college students?
BMC psychology
Jan 4, 2025
BACKGROUND: In recent years, the adoption of artificial intelligence (AI) has become increasingly relevant in various sectors, including higher education. This study investigates the psychosocial factors influencing AI adoption among Peruvian univers...
Utilising AI technique to identify depression risk among doctoral students.
Scientific reports
Dec 30, 2024
The phenomenon that the depression risk among doctoral students is higher than that of other groups should not be ignored. Despite this, studies specifically addressing depression risk in doctoral students are relatively scarce, and existing findings...
How do machine learning models perform in the detection of depression, anxiety, and stress among undergraduate students? A systematic review.
Cadernos de saude publica
Dec 20, 2024
Undergraduate students are often impacted by depression, anxiety, and stress. In this context, machine learning may support mental health assessment. Based on the following research question: "How do machine learning models perform in the detection o...
Hybrid SEM-ANN model for predicting undergraduates' e-learning continuance intention based on perceived educational and emotional support.
PloS one
Dec 13, 2024
Based on the Expectation Confirmation Model (ECM), this study explores the impact of perceived educational and emotional support on university students' continuance intention to engage in e-learning. Researchers conducted a survey using structured qu...
The analysis of generative adversarial network in sports education based on deep learning.
Scientific reports
Dec 5, 2024
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...
Machine learning evaluation of a hypertension screening program in a university workforce over five years.
Scientific reports
Dec 4, 2024
The global prevalence of hypertension continues excessively elevated, especially among low- and middle-income nations. Workplaces provide tremendous opportunities as a unique, easily accessible and practical avenue for early diagnosis and treatment o...
Use of machine learning for simplification of University Personality Inventory (UPI).
Acta psychologica
Dec 4, 2024
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...
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