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Effectiveness Analysis of English Newspaper Reading Teaching Based on Deep Learning from the Perspective of Online and Offline Hybrid Teaching.

Computational and mathematical methods in medicine
In recent years, China's higher education has developed rapidly, and the overall English proficiency of college students has improved significantly. In order to improve the English proficiency of students in higher education, English newspaper readin...

Teachers' Teaching Ability Promotion Strategies Based on Lightweight Deep Learning Combined with Target Detection Algorithm.

Computational intelligence and neuroscience
With the popularization of standardized classrooms in colleges and universities, it is possible to collect video data of students' class status through the camera device in the classroom. With abundant video data sources, it is easy to obtain big dat...

Deep Learning-Based Mental Health Model on Primary and Secondary School Students' Quality Cultivation.

Computational intelligence and neuroscience
The purpose was to timely identify the mental disorders (MDs) of students receiving primary and secondary education (PSE) (PSE students) and improve their mental quality. Firstly, this work analyzes the research status of the mental health model (MHM...

Construction of a Prediction Model for College Students' Psychological Disorders Based on Decision Systems and Improved Neural Networks.

Computational intelligence and neuroscience
Modeling and prediction of psychological disorders is a hot topic in current research. Neural networks are very important factors in improving the accuracy and precision ratios of the models which are developed for the prediction of the psychological...

Student Education Management Strategy Based on Artificial Intelligence Information Model under the Support of 5G Wireless Network.

Computational intelligence and neuroscience
With the popularity of the Internet and the advancement of information technology, more and more people are accepting the teaching and sharing of knowledge through the digitalization of information. The widespread adoption of 5G technology has pushed...

Study on OBE Teaching Concept in the Context of Deep Learning for the Construction of University Mathematics Microcourses.

Computational intelligence and neuroscience
Outcome-Based Education (OBE) is a goal-based educational system in which each part of education is around outcomes. By the end of the course, every student should have achieved the goal. Outcome-Based Education (OBE) involves various teaching method...

Artificial Intelligence-Based Translation Technology in Translation Teaching.

Computational intelligence and neuroscience
With the advent of the era of artificial intelligence revolution, deep learning is undoubtedly injecting new vitality into machine translation technology. In the context of artificial intelligence, teachers must find new and effective teaching ideas ...

Analysis on the Reform and Development of Physical Education Services in the Context of 5G Connected Communication.

Computational intelligence and neuroscience
With the continuous growth of science and technology, mankind has entered the fifth-generation (5G) era. In this background, the development of many fields will face great opportunities and challenges, including the field of physical education (PE). ...

Influence of Artificial Intelligence in Education on Adolescents' Social Adaptability: A Machine Learning Study.

International journal of environmental research and public health
This study aimed to investigate the influence of artificial intelligence in education (AIEd) on adolescents' social adaptability, as well as to identify the relevant psychosocial factors that can predict adolescents' social adaptability. A total of 1...

An Intelligent System for Detecting Abnormal Behavior in Students Based on the Human Skeleton and Deep Learning.

Computational intelligence and neuroscience
With the use of an intelligent video system, this research provides a method for detecting abnormal behavior based on the human skeleton and deep learning. To begin with, the spatiotemporal features of human bones are extracted through iterative trai...