AIMC Topic: Teaching

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The analysis of dance teaching system in deep residual network fusing gated recurrent unit based on artificial intelligence.

Scientific reports
The purpose of this study is to investigate how deep learning and other artificial intelligence (AI) technologies can be used to enhance the intelligent level of dance instruction. The study develops a dance action recognition and feedback model base...

Conceptual understanding and cognitive patterns construction for physical education teaching based on deep learning algorithms.

Scientific reports
To improve students' understanding of physical education teaching concepts and help teachers analyze students' cognitive patterns, the study proposes an association learning-based method for understanding physical education teaching concepts using de...

Teaching design students machine learning to enhance motivation for learning computational thinking skills.

Acta psychologica
The integration of computational thinking (CT) to enhance creativity in design students has often been underexplored in design education. While design thinking has traditionally been the cornerstone of university design pedagogy and remains essential...

Audio-visual aesthetic teaching methods in college students' vocal music teaching by deep learning.

Scientific reports
In recent times, characterized by the rapid advancement of science and technology, the educational system has continuously evolved. Within this modern educational landscape, Science, Technology, Engineering, Arts, and Mathematics (STEAM) education ha...

Ethical and pedagogical implications of AI in language education: An empirical study at Ha'il University.

Acta psychologica
This study aims to evaluate the role of AI as an educational tool from an ethical and pedagogical perspective as it delves into the perceptions of the teaching community whose resistance to technology integration into conventionally managed classroom...

Application of Electroencephalography Sensors and Artificial Intelligence in Automated Language Teaching.

Sensors (Basel, Switzerland)
This study developed an automated language learning teaching assessment system based on electroencephalography (EEG) and differential language large models (LLMs), aimed at enhancing language instruction effectiveness by monitoring learners' cognitiv...

Pedagogy and generative artificial intelligence: Applying the PICRAT model to Google NotebookLM.

Medical teacher
Healthcare educators (HPE) are challenged by rapid developments in Generative Artificial Intelligence (GenAI) tools. They need a standardized model to evaluate these new tools and to guide them in pedagogically-sound integration in the curriculum. PI...

Evaluation of influencing factors of China university teaching quality based on fuzzy logic and deep learning technology.

PloS one
Nowadays, colleges and universities focus on the assessment model for considering educational offers, suitable environments, and circumstances for students' growth, as well as the influence of Teaching Quality (TQ) and the applicability of the skills...

Integration of ChatGPT Into a Course for Medical Students: Explorative Study on Teaching Scenarios, Students' Perception, and Applications.

JMIR medical education
BACKGROUND: Text-generating artificial intelligence (AI) such as ChatGPT offers many opportunities and challenges in medical education. Acquiring practical skills necessary for using AI in a clinical context is crucial, especially for medical educati...

Finding the Needle in the Haystack: Can Natural Language Processing of Students' Evaluations of Teachers Identify Teaching Concerns?

Journal of general internal medicine
BACKGROUND: Institutions rely on student evaluations of teaching (SET) to ascertain teaching quality. Manual review of narrative comments can identify faculty with teaching concerns but can be resource and time-intensive.