AIMC Topic: Students

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What factors enhance students' achievement? A machine learning and interpretable methods approach.

PloS one
Prior research on student achievement has typically examined isolated factors or bivariate correlations, failing to capture the complex interplay between learning behaviors, pedagogical environments, and instructional design. This study addresses the...

Generative artificial intelligence in secondary education: Applications and effects on students' innovation skills and digital literacy.

PloS one
As generative artificial intelligence (AI) rapidly transforms educational landscapes, understanding its impact on students' core competencies has become increasingly critical for educators and policymakers. Despite growing integration of AI technolog...

Dissecting the Predictors of Cyber-Aggression Through an Explainable Machine Learning Model.

Aggressive behavior
The general aggression model (GAM) suggests that cyber-aggression stems from individual characteristics and situational contexts. Previous studies have focused on limited factors using linear models, leading to oversimplified predictions. This study ...

Machine Learning Models for Predicting Cycloplegic Refractive Error and Myopia Status Based on Non-Cycloplegic Data in Chinese Students.

Translational vision science & technology
PURPOSE: To develop and validate machine learning (ML) models for predicting cycloplegic refractive error and myopia status using noncycloplegic refractive error and biometric data.

Quality and Effectiveness of AI Tools for Students and Researchers for Scientific Literature Review and Analysis.

Studies in health technology and informatics
This study scrutinizes free AI tools tailored for supporting literature review and analysis in academic research, emphasizing their response to direct inquiries. Through a targeted keyword search, we cataloged relevant AI tools and evaluated their ou...

[Subverting the Future of Teaching: Artificial Intelligence Innovation in Nursing Education].

Hu li za zhi The journal of nursing
Artificial intelligence (AI) technologies, including machine learning, deep learning, natural language processing, generative AI, the metaverse and other iterations, are rapidly changing the landscape of education. Related technologies not only enhan...

[Embracing the Era of Artificial Intelligence: Innovation and Preparation in Nursing Education].

Hu li za zhi The journal of nursing
Rapid recent advances in information technology have opened the door for artificial intelligence (AI)-related technologies to be applied extensively across many industries. The Ministry of Education has emphasized the importance of cultivating advanc...

Ethical Dilemmas in Current Uses of AI in Science Education.

CBE life sciences education
The purpose of the Current Insights feature is to highlight recent research and scholarship from outside the LSE community. In this installment, I review a series of recently published articles which examine ethical dilemmas concerning the use of art...

Assessing Learning of Computer Programing Skills in the Age of Generative Artificial Intelligence.

Journal of biomechanical engineering
Generative artificial intelligence (AI) tools such as ChatGPT, Bard, and Claude have recently become a concern in the delivery of engineering education. For courses focused on computer coding, such tools are capable for creating working computer code...