AIMC Topic: Students

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From quality of life to sleep quality in Chinese college students: stress and anxiety as sequential mediators with nonlinear effects via machine learning.

Journal of affective disorders
OBJECT: This study examines how quality of life is associated with sleep quality among Chinese university students through sequential mediation by perceived stress and sleep anxiety, using machine learning to uncover nonlinear effects.

Mindset matters: exploring the link between mindsets, learning intentions, and performance in biomedical science students.

Advances in physiology education
Students' "mindset" (self-beliefs and attitudes toward their abilities) can impact academic achievement, with those possessing a growth mindset more likely to succeed. It has been postulated that students with a growth mindset, who believe they can i...

Introducing societal issues in an upper level STEM course increases student engagement and knowledge transfer.

Developmental biology
The ability of students to transfer their knowledge and understanding learned from one context to a novel context is the ultimate goal of education. Creating assignments that engage students through something they care about can help create the envir...

Modeling structured data learning with Restricted Boltzmann machines in the teacher-student setting.

Neural networks : the official journal of the International Neural Network Society
Restricted Boltzmann machines (RBM) are generative models capable to learn data with a rich underlying structure. We study the teacher-student setting where a student RBM learns structured data generated by a teacher RBM. The amount of structure in t...

Impact of perceived ease of use and perceived usefulness of humanoid robots on students' intention to use.

Acta psychologica
The rapid progress of artificial intelligence (AI) has spurred significant changes in education, highlighting the need to explore students' perceptions and acceptance of AI-driven educational tools like humanoid robots. This study builds on an extend...

Examining students' perspectives on the use of artificial intelligence tools in higher education: A case study on AI tools of graphic design.

Acta psychologica
Understanding and utilizing AI tools ensure that designers, particularly students, remain involved in a rapidly evolving industry. This study aimed to investigate students' perspectives on the use of AI tools in graphic design. A pre-post-test contro...

A catalyst for education? A study on the impact of artificial intelligence assisted learning in painting courses on college students' continuous learning intention.

Acta psychologica
This study examines artificial intelligence in college students' painting education and their potential impact on students' continuous learning intention. In this study, two surveys were conducted. The first survey included 793 valid samples, and the...

AI in action: Changes to student perceptions when using generative artificial intelligence for the creation of a multimedia project-based assessment.

European journal of pharmacology
INTRODUCTION: New modes of assessments are needed to evaluate of the authenticity of student learning in an artificial intelligence (AI) world. In mid-2023, we piloted a new assessment type; a collaborative group multimedia assessment with AI allowan...

Generative AI without guardrails can harm learning: Evidence from high school mathematics.

Proceedings of the National Academy of Sciences of the United States of America
Generative AI is poised to revolutionize how humans work, and has already demonstrated promise in significantly improving human productivity. A key question is how generative AI affects learning-namely, how humans acquire new skills as they perform t...

Diverse Teacher-Students for deep safe semi-supervised learning under class mismatch.

Neural networks : the official journal of the International Neural Network Society
Semi-supervised learning can significantly boost model performance by leveraging unlabeled data, particularly when labeled data is scarce. However, real-world unlabeled data often contain unseen-class samples, which can hinder the classification of s...