scholarly journals Theoretical research on deep integration of artificial intelligence and school physical education

2019 ◽  
Author(s):  
Dongxu Liu ◽  
Jiayi Li
Keyword(s):  
Artificial Intelligence ◽  
Physical Education ◽  
Theoretical Research ◽  
Deep Integration

scholarly journals Deep Integration of Physical Health Education Based on Intelligent Communication Technology

2021 ◽  
Vol 2021 ◽  
pp. 1-6
Author(s):  
Min Liu ◽  
Jianjun Bu
Keyword(s):  
Artificial Intelligence ◽  
Physical Education ◽  
Online Education ◽  
Communication Technology ◽  
Current Trend ◽  
Scientific Data ◽  
Survey Method ◽  
Intelligent Communication ◽  
Deep Integration ◽  
Education Platform

In recent years, intelligent medical communication technology has developed rapidly, and the advancement of hardware technology has accelerated the development of software technology. Physical exercise breaks the limits of all aspects of the human body and requires scientific and reliable information. Industrial cameras realize collection and high-resolution image processing functions and use artificial intelligence to create conditions for collecting scientific data. With the powerful driving force of artificial intelligence, it is believed that physical education will develop to a new height. The intellectualization of physical education makes people expect that it will also bring some inevitable problems, but as long as we continue to overcome and improve, we believe that artificial intelligence will better serve physical education and benefit mankind. Artificial intelligence is the current trend of social development. This paper takes physical education as a breakthrough point to discuss the application of artificial intelligence in physical education. This paper uses the grey GM prediction model and questionnaire survey method to build an online education platform and develop an effective education model, which can integrate the country’s best educational resources and reduce time and space constraints. Providing a relaxing learning environment for education, one can learn anytime, anywhere. In a typical physical education system, the average self-efficacy score is converted from 20.48 points to 68.37 points, and the average self-score of physical education in the integrated artificial intelligence environment is converted from 30.25 points to 75.54 points. The data show that the quality of education has greatly improved.

Reform and innovation of artificial intelligence technology for information service in university physical education

2020 ◽  
pp. 1-11
Author(s):  
Jianye Zhang
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Physical Education ◽  
Information Service ◽  
Management Decision ◽  
Negative Effects ◽  
Education Management ◽  
Depth Analysis ◽  
Artificial Intelligence Technology ◽  
The Difference

This article analyzes the reform of information services in university physical education based on artificial intelligence technology and conducts in-depth and innovative research on it. In-depth analysis of the relationship between big data and the development and application of information technology such as the Internet, Internet of Things, cloud computing, to clarify the difference and connection between big data, informatization and intelligence. Artificial intelligence will bring opportunities for changes in data collection, management decision-making, governance models, education and teaching, scientific research services, evaluation and evaluation of physical education in our university. At the same time, big data education management in colleges and universities faces many challenges such as the balance of privacy and freedom, data hegemony, data junk, data standards, and data security, and they have many negative effects. In accordance with the requirements of educational modernization, centering on the goal of intelligent and humanized education management, it aims existing issues in college physical education management.

An AI based design of student performance prediction and evaluation system in college physical education

2020 ◽  
pp. 1-9
Author(s):  
Zhang Yangsheng
Keyword(s):  
Neural Network ◽  
Artificial Intelligence ◽  
Physical Education ◽  
Student Performance ◽  
Internal Structure ◽  
Process Evaluation ◽  
Performance Prediction ◽  
Evaluation System ◽  
Evaluation Model ◽  
Good Effect

College physical education is too one-sided, which makes the teaching process evaluation meaningless. Based on this, based on neural network technology, this article combines artificial intelligence teaching system to build an artificial intelligence sports teaching evaluation model based on neural network. The artificial intelligence model starts from the process evaluation and the final evaluation. Moreover, it uses a recurrent neural network for data training and analysis, and introduces a new decoder to perform data processing, and introduces a simplified gated neural network internal structure diagram to build the internal structure of the model.In addition, this study designs a control experiment to evaluate the performance of the model constructed in this study. The research results show that the artificial intelligence model constructed in this paper has a good effect in the performance prediction and evaluation of college sports students.

scholarly journals New explainability method for BERT-based model in fake news detection

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Mateusz Szczepański ◽  
Marek Pawlicki ◽  
Rafał Kozik ◽  
Michał Choraś
Keyword(s):  
Artificial Intelligence ◽  
Social Media ◽  
Language Processing ◽  
High Performance ◽  
Real Life ◽  
Contemporary Society ◽  
Fake News ◽  
Interpretable Model ◽  
Deep Integration ◽  
The Impact

AbstractThe ubiquity of social media and their deep integration in the contemporary society has granted new ways to interact, exchange information, form groups, or earn money—all on a scale never seen before. Those possibilities paired with the widespread popularity contribute to the level of impact that social media display. Unfortunately, the benefits brought by them come at a cost. Social Media can be employed by various entities to spread disinformation—so called ‘Fake News’, either to make a profit or influence the behaviour of the society. To reduce the impact and spread of Fake News, a diverse array of countermeasures were devised. These include linguistic-based approaches, which often utilise Natural Language Processing (NLP) and Deep Learning (DL). However, as the latest advancements in the Artificial Intelligence (AI) domain show, the model’s high performance is no longer enough. The explainability of the system’s decision is equally crucial in real-life scenarios. Therefore, the objective of this paper is to present a novel explainability approach in BERT-based fake news detectors. This approach does not require extensive changes to the system and can be attached as an extension for operating detectors. For this purposes, two Explainable Artificial Intelligence (xAI) techniques, Local Interpretable Model-Agnostic Explanations (LIME) and Anchors, will be used and evaluated on fake news data, i.e., short pieces of text forming tweets or headlines. This focus of this paper is on the explainability approach for fake news detectors, as the detectors themselves were part of previous works of the authors.

scholarly journals Features of legal regulation of artificial intelligence as a guarantee of sustainable development of society

2020 ◽  
Vol 208 ◽  
pp. 06010
Author(s):  
N.V. Mishina ◽  
I.R. Shikula ◽  
S.A. Afanasyeva
Keyword(s):  
Artificial Intelligence ◽  
Sustainable Development ◽  
A Priori ◽  
Legal Regulation ◽  
Theoretical Research ◽  
Axiomatic Method ◽  
The Sustainable Development ◽  
Modeling And Forecasting ◽  
Analysis And Synthesis ◽  
Legal Model

The authors of the article consider the features of the legal regulation of artificial intelligence that guarantee the sustainable development of society in the era of global digitalization. The artificial intelligence-induced transformation of the world-building is leading to a change in the legal landscape. In this regard, the authors investigate artificial intelligence as a subject and object of legal regulation. The article provides an overview of foreign and Russian legislation in artificial intelligence, based on which a legal model of a single codified act is proposed. The authors advert to the need for technical and public control when introducing artificial intelligence into operation, and also for a priori legal regulation of artificial intelligence. Based on theoretical research methods, such as the axiomatic method, analysis and synthesis, systematization, modeling and forecasting, the authors conclude that a comprehensive, consistent, systemic and prospective legal regulation can remove the possible risks of introducing AI technologies, the threat of human destruction and provide a guarantee for the sustainable development of society.

scholarly journals Theoretical Research and Technical and Tactical Practice of Basketball Teaching in Colleges

2020 ◽  
Vol 4 (9) ◽  
Author(s):  
Weifeng Huang
Keyword(s):  
Physical Education ◽  
Colleges And Universities ◽  
Theoretical Research ◽  
College Sports ◽  
Practical Application ◽  
College Basketball ◽  
Teaching Reform ◽  
Research And Teaching ◽  
Theory Research

Nowadays, colleges and universities in our country pay more and more attention to physical education. Basketball is one of the most popular sports in colleges and universities, and its teaching theory research and teaching reform have gradually become the key content of college physical education. This article first explains the current problems in college basketball teaching, and then puts forward some suggestions on how to improve the basic theoretical teaching level of college basketball, and analyzes the practical application of basketball techniques and tactics in colleges and universities in order to provide a broad range of college sports Teachers provide some useful suggestions in basketball teaching.

Sign in / Sign up

Export Citation Format

Share Document