AIMC Topic: Teaching

Clear Filters Showing 21 to 30 of 129 articles

Assessing english Language teachers' pedagogical effectiveness using convolutional neural networks optimized by modified virus colony search algorithm.

Scientific reports
Effective teacher performance evaluation is important for enhancing the quality of educational systems. This study presents a novel approach that integrates deep learning and metaheuristics to assess the pedagogical quality of English as a foreign la...

Research on evaluation model for virtual experiment teaching based on interval-valued fuzzy sets.

Evaluation and program planning
The evaluation of virtual experiment teaching (VET) is a fuzzy assessment problem involving multiple indicators, multiple levels, and interval values, inherently characterized by uncertainties that make accurate evaluation challenging. Interval-value...

The impact of digital competence on pedagogical innovation among nurse educators: The moderating role of artificial intelligence readiness.

Nurse education in practice
AIM: To investigate the relationships between digital competence, AI readiness and pedagogical innovation among nurse educators, with a specific focus on the moderating role of AI readiness.

AI optimization algorithms enhance higher education management and personalized teaching through empirical analysis.

Scientific reports
This research investigates the application of artificial intelligence (AI) optimization algorithms in higher education management and personalized teaching. Through a comprehensive literature review, theoretical analysis, and empirical study, the pot...

Exploring a digital music teaching model integrated with recurrent neural networks under artificial intelligence.

Scientific reports
This study proposes an intelligent digital music teaching model based on Artificial Intelligence (AI) and Long Short-Term Memory (LSTM) networks to enhance personalized assessment and feedback in music education. Within this teaching model, the music...

Exploring the role of moxibustion robots in teaching: a cross-sectional study.

BMC medical education
BACKGROUND: Artificial intelligence has gradually been used into various fields of medical education at present. Under the background of moxibustion robot teaching assistance, the study aims to explore the relationship and the internal mechanism betw...

Application of ChatGPT-assisted problem-based learning teaching method in clinical medical education.

BMC medical education
INTRODUCTION: Artificial intelligence technology has a wide range of application prospects in the field of medical education. The aim of the study was to measure the effectiveness of ChatGPT-assisted problem-based learning (PBL) teaching for urology ...

Twelve tips on applying AI tools in HPE scholarship using Boyer's model.

Medical teacher
AI has changed the landscape of health professions education. With the hype now behind us, we find ourselves in the phase of reckoning, considering what's next; where do we start and how can educators use these powerful tools for daily teaching and l...

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...