AIMC Topic: Universities
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Modeling student satisfaction in online learning using random forest.
Scientific reports
Jul 2, 2025
The rapid expansion of online education has intensified the need to investigate the multifactorial determinants of university students' satisfaction with digital learning platforms. While prior studies have often examined technical or pedagogical com...
Comparing ChatGPT and validated questionnaires in assessing loneliness and online social support among college students: a cross-sectional study.
Scientific reports
Jul 1, 2025
The capability of ChatGPT to understand and generate human-readable text has prompted the investigation of its potential as mental health assessment tools. This study aims to explore the validity of ChatGPT in assessing loneliness and online social s...
Statistical and machine learning models for predicting university dropout and scholarship impact.
PloS one
Jun 25, 2025
Although student dropout is an inevitable aspect of university enrollment, when analyzed, universities can gather information which enables them to take preventative actions that mitigate dropout risk. We study a data set consisting of 4,424 records ...
The effects of learning experience on college students' deep english learning: a study of the chain mediation effect of motivation and strategy.
PloS one
Jun 4, 2025
This study focuses on the impact of learning experience on college students' deep learning of English and the chain-mediated effects of motivation and strategy. In the context of globalization, English is crucial for university students, but traditio...
Detection of Depressive Symptoms in College Students Using Multimodal Passive Sensing Data and Light Gradient Boosting Machine: Longitudinal Pilot Study.
JMIR formative research
Jun 3, 2025
BACKGROUND: Depression is the top contributor to global disability. Early detection of depression and depressive symptoms enables timely intervention and reduces their physical and social consequences. Prevalence estimates of depression approach 30% ...
A qualitative analysis of college students' interest in mHealth solutions.
Frontiers in public health
May 30, 2025
This study explores college students' perceptions of an AI-driven mHealth application designed to promote well-being. With rising mental health challenges in academic settings, students increasingly seek digital tools that provide holistic support fo...
Machine learning based identification of suicidal ideation using non-suicidal predictors in a university mental health clinic.
Scientific reports
Apr 22, 2025
Suicide causes over 700,000 deaths annually worldwide. Mental disorders are closely linked to suicidal ideation, but predicting suicide remains complex due to the multifaceted nature of contributing factors. Traditional assessment tools often fail to...
Evaluating the agreement between ChatGPT-4 and validated questionnaires in screening for anxiety and depression in college students: a cross-sectional study.
BMC psychiatry
Apr 10, 2025
BACKGROUND: The Chat Generative Pre-trained Transformer (ChatGPT), an artificial intelligence-based web application, has demonstrated substantial potential across various knowledge domains, particularly in medicine. This cross-sectional study assesse...
Development of a Mobile Intervention for Procrastination Augmented With a Semigenerative Chatbot for University Students: Pilot Randomized Controlled Trial.
JMIR mHealth and uHealth
Apr 10, 2025
BACKGROUND: Procrastination negatively affects university students' academics and mental health. Traditional time management apps lack therapeutic strategies like cognitive behavioral therapy to address procrastination's psychological aspects. Theref...
Enhancing student-centered walking environments on university campuses through street view imagery and machine learning.
PloS one
Apr 9, 2025
Campus walking environments significantly influence college students' daily lives and shape their subjective perceptions. However, previous studies have been constrained by limited sample sizes and inefficient, time-consuming methodologies. To addres...
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