AIMC Topic: Universities
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Exploring the factors influencing the adoption of artificial intelligence technology by university teachers: the mediating role of confidence and AI readiness.
BMC psychology
Mar 27, 2025
OBJECTIVES: This study aims to explore the mediating role of confidence and artificial intelligence (AI) readiness in university teachers' behavioral intention to adopt AI technology, providing empirical support for enhancing teachers' willingness to...
Leveraging artificial intelligence to assess the impact of COVID-19 on the teacher-student relationship in higher education.
PloS one
Mar 24, 2025
The teacher-student relationship has far-reaching implications for educational outcomes at the tertiary level. Teachers contribute to students' success in various ways, including academic support, career counseling, personal mentoring, etc., that hel...
University students describe how they adopt AI for writing and research in a general education course.
Scientific reports
Mar 14, 2025
University students have begun to use Artificial Intelligence (AI) in many different ways in their undergraduate education, some beneficial to their learning, and some simply expedient to completing assignments with as little work as possible. This e...
Predicting sleep quality among college students during COVID-19 lockdown using a LASSO-based neural network model.
BMC public health
Feb 21, 2025
BACKGROUND: In March 2022, a new outbreak of COVID-19 emerged in Quanzhou, leading to the implementation of strict lockdown management measures in colleges. While existing research has indicated that the pandemic has had a significant impact on sleep...
Development of Evidence-Based Guidelines for the Integration of Generative AI in University Education Through a Multidisciplinary, Consensus-Based Approach.
European journal of dental education : official journal of the Association for Dental Education in Europe
Feb 13, 2025
INTRODUCTION: The introduction highlights the transformative impact of generative artificial intelligence (GenAI) on higher education (HE), emphasising its potential to enhance student learning and instructor efficiency while also addressing signific...
Apriori algorithm based prediction of students' mental health risks in the context of artificial intelligence.
Frontiers in public health
Feb 12, 2025
INTRODUCTION: The increasing prevalence of mental health challenges among college students necessitates innovative approaches to early identification and intervention. This study investigates the application of artificial intelligence (AI) techniques...
Research on the construction of a sustainable scientific research capability evaluation model for university teachers based on the T-S fuzzy neural network.
PloS one
Feb 10, 2025
INTRODUCTION: This study aims to enhance educational quality and academic standards by proposing a model based on critical research ability indicators to objectively evaluate the sustainable scientific research capabilities of university teachers.
Predictors of depression among Chinese college students: a machine learning approach.
BMC public health
Feb 5, 2025
BACKGROUND: Depression is highly prevalent among college students, posing a significant public health challenge. Identifying key predictors of depression is essential for developing effective interventions. This study aimed to analyze potential depre...
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...
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