scholarly journals Using Artificial Intelligence for the Construction of University Physical Training and Teaching Systems

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Liang Li ◽  
Lu Zhang ◽  
Su Zhang
Keyword(s):  
Artificial Intelligence ◽  
Educational System ◽  
Physical Training ◽  
Teaching Quality ◽  
Educational Systems ◽  
Teachers And Students ◽  
Artificial Intelligence Technology ◽  
Theoretical Application ◽  
And Training ◽  
Training Efficiency

The combination of education and artificial intelligence is the developmental direction of future educational systems. Through the participation of artificial intelligence, an educational system with sensibility and computer rationality can be created. Albeit the advantages and importance of this education system are beyond doubt, nevertheless, at present, the combination of artificial intelligence and education is still in its infancy. This is because the theoretical application, equipment research, and development are neither perfect nor up to the required standard. The research points out the reality that artificial intelligence technology has been widely used in sports and analyzes the specific application of artificial intelligence in sports. In this paper, the knowledge of artificial intelligence is combined with the physical training and teaching in colleges and universities, and an educational system is developed to guide teachers' and students’ training, which improves the teaching quality and training efficiency.

scholarly journals Research on Campus Education Information System Based on Internet of Things and Artificial Intelligence Decision

2021 ◽  
Vol 2021 ◽  
pp. 1-17
Author(s):  
Hetiao Hong
Keyword(s):  
Artificial Intelligence ◽  
Information System ◽  
Original System ◽  
Functional Testing ◽  
Excellent Performance ◽  
Teachers And Students ◽  
Interface Function ◽  
Artificial Intelligence Technology ◽  
Education Platform ◽  
Better Than

Because of the different reasons between regions, the distribution of educational resources is also different, the development of each school is unbalanced, and the degree of campus education informationization is different. The complex functional structure not only does not facilitate teachers and students but also leads to many problems: the prevention and prevention of campus life safety. It is difficult to keep and use multiple cards owned by one person. Software and education platform cannot be seamlessly connected, and there are various barriers between data and data and people and data. The lack of learning materials leads to the inequality of information. There are no good feedback and solution between teachers and students. It is difficult to manage accurately with a large number of people. This study will be based on the Internet and artificial intelligence technology, to explore how to study a large (or super large), concise and efficient, and excellent performance of campus education information system; this system can meet the teachers and students no matter what year, month, and day of a large number of visits. For some problems in the process of building the system, actively optimize and refine them. After functional testing and analysis of the system, the experimental results show that the interface function of the new system is stable, the usability test is better than the feedback experience of the original system, the response time is reduced by 21.6% on average, and the overall power consumption of the system is reduced by about 1.43% on average.

scholarly journals Connotation Analysis and Paradigm Shift of Teaching Design under Artificial Intelligence Technology

2021 ◽  
Vol 16 (05) ◽  
pp. 73
Author(s):  
Jian Huang ◽  
Gang Shen ◽  
Xiping Ren
Keyword(s):  
Artificial Intelligence ◽  
Paradigm Shift ◽  
Learning Ability ◽  
Teaching Activities ◽  
Learning Efficiency ◽  
Teaching Objectives ◽  
Teaching Design ◽  
Teachers And Students ◽  
Artificial Intelligence Technology ◽  
Teaching Efficiency

The influence of artificial intelligence technology on teaching design is explored to improve teaching efficiency. First, artificial intelligence is introduced and its impacts on teaching design are analyzed. Second, the connotation of the paradigm of teaching design and the paradigm shift for teaching design are explored using the paradigm shift analysis framework. Finally, the changes in teaching design under artificial intelligence are analyzed, and the impacts of artificial intelligence on teaching activities are investigated. The results show that the application of artificial intelligence technology has led to different levels of change in the six elements of teaching design, including teaching objectives, service objects (teachers and students), teaching content, teaching media, teaching environment, and teaching evaluation. The connotation and paradigm shift of the teaching design are introduced from the four elements based on the artificial intelligence technology. It is found that artificial intelligence technology can enhance the learning ability and cognitive ability of students to a certain extent while improving the teaching efficiency and learning efficiency. The investigation proves that the teaching design based on artificial intelligence technology can be applied to teaching activities, thereby improving the learning efficiency of students and the teaching efficiency of teachers.

Creating a Personalized Artificial Intelligence Course

2012 ◽  
pp. 31-48
Author(s):  
Elvira Popescu ◽  
Costin Badica
Keyword(s):  
Artificial Intelligence ◽  
Learning Style ◽  
Educational System ◽  
Native Students ◽  
Digital Native ◽  
Adaptation Mechanism ◽  
Teachers And Students

This paper illustrates the use of WELSA adaptive educational system for the implementation of an Artificial Intelligence (AI) course which is individualized to the learning style of each student. Several of the issues addressed throughout this paper are describing similar approaches existing in literature, how the AI course is created, and what kind of personalization is provided in the course including the underlying adaptation mechanism. The authors also focus on whether the course is used effectively by the stakeholders (teachers and students respectively). Results obtained in the paper confirm the practical applicability of WELSA and its potential for meeting the personalization needs and expectations of the digital native students.

Creating a Personalized Artificial Intelligence Course

2013 ◽  
pp. 262-278
Author(s):  
Elvira Popescu ◽  
Costin Badica
Keyword(s):  
Artificial Intelligence ◽  
Learning Style ◽  
Educational System ◽  
Native Students ◽  
Digital Native ◽  
Adaptation Mechanism ◽  
Teachers And Students

This paper illustrates the use of WELSA adaptive educational system for the implementation of an Artificial Intelligence (AI) course which is individualized to the learning style of each student. Several of the issues addressed throughout this paper are describing similar approaches existing in literature, how the AI course is created, and what kind of personalization is provided in the course including the underlying adaptation mechanism. The authors also focus on whether the course is used effectively by the stakeholders (teachers and students respectively). Results obtained in the paper confirm the practical applicability of WELSA and its potential for meeting the personalization needs and expectations of the digital native students.

Design of the Intelligent Computer Assisted Instruction System

2014 ◽  
Vol 687-691 ◽  
pp. 2565-2568
Author(s):  
Shao Hua Nie
Keyword(s):  
Artificial Intelligence ◽  
Teaching Quality ◽  
Computer Assisted Instruction ◽  
Computer Assisted ◽  
Instruction System ◽  
Artificial Intelligence Technology ◽  
Assisted Instruction ◽  
Intelligent Computer ◽  
Analysis And Study

With the introduction of artificial intelligence technology, Intelligent Computer Assisted Instruction (ICAI) not only overcomes many weaknesses of the traditional CAI. But also greatly enhance and improve the teaching quality and efficiency. In this paper, it firstly analysis and study the characteristics and structure of the ICAI, then proposed the method to achieve ICAI system.

scholarly journals A Study of College English Culture Intelligence-Aided Teaching System and Teaching Pattern

2020 ◽  
Vol 13 (3) ◽  
pp. 77 ◽  
Author(s):  
Cao Meng-yue ◽  
Li Dan ◽  
Wang Jun
Keyword(s):  
Artificial Intelligence ◽  
Information Technology ◽  
Teaching Practice ◽  
Teaching Quality ◽  
College English ◽  
English Teaching ◽  
Modern Information Technology ◽  
Cultural Teaching ◽  
Artificial Intelligence Technology ◽  
Modern Information

College English teaching is supposed to cover both language acquisition and culture learning due to the close relationship between language and culture, taking cultural teaching as an indispensible part of college English courses. With the rapid integration of information technology and English curriculum, artificial intelligence has brought new opportunities to college English teaching, and college English cultural teaching methods are now faced with new innovations. In the age of intelligence, to promote teaching quality and learning effect, artificial intelligence technology can be embedded in English teaching practice, exerting its technical advantages and frontier characteristics. In consideration of integrated developing tendency of college English cultural teaching model and modern information technology, the paper is aimed to design and build up an intelligence-aided system so as to extend the depth and width of the application of modern information technology in college English cultural teaching as well as to exploit the great application potential of modern information technology in college English cultural teaching, thus opening a new way and presenting a direction for college English cultural teaching.

scholarly journals Application of Artificial Intelligence (Neural Networks) in Education

2021 ◽  
Vol 19 (1) ◽  
pp. 78-87
Author(s):  
Arman ZAKARYAN
Keyword(s):  
Artificial Intelligence ◽  
Neural Networks ◽  
Artificial Neural Networks ◽  
Significant Role ◽  
Educational Environment ◽  
Educational Systems ◽  
Training Systems ◽  
Teachers And Students ◽  
Artificial Neural

This article focuses on the use of artificial intelligence in the educational environment. We consider the latest technology, which already plays a huge role for both teachers and students. Currently, there are many systems for the development of training systems, among which artificial neural networks occupy a substantial place. The article presents an example of the use of artificial neural networks, which can play a significant role in developing educational systems.

scholarly journals Education Informatization 2.0 in China: Motivation, Framework, and Vision

2020 ◽  
pp. 209653112094492
Author(s):  
Shouxuan Yan ◽  
Yun Yang
Keyword(s):  
Artificial Intelligence ◽  
Action Plan ◽  
Educational Resources ◽  
National Network ◽  
Education Governance ◽  
Education Service ◽  
New Models ◽  
Teachers And Students ◽  
Artificial Intelligence Technology ◽  
New Education

Purpose: This article aims to shed light on a latest education informatization policy blueprint in China, titled Education Informatization 2.0 Action Plan, which was promulgated by the Ministry of Education in China on April 18, 2018. Design/Approach/Methods: The study is an analytical policy review based on the policy documents, theoretical discussion, and development of practice. Findings: This new Chinese education informatization policy was driven by three factors: the promotion of education informatization 1.0 in China, the requirement of education modernization toward 2035, and the response to “Wisdom Education.” The framework for action can be summarized as “One Goal, Three Tasks, and Eight Actions.” The main features involve innovation-driven development rather than technology-driven development, committing to the expansion of digital educational resources rather than the digital presentation of textbooks, and aiming at improving teachers and students’ information literacy rather than the applied skills of information technology. The future vision of the plan involves building new models on talent cultivation, education service, and education governance. The new models on talent cultivation involve establishing “Wisdom Teaching” mode, learning mode, and intelligent learning environment supported by artificial intelligence technology. The new education service models entail building the admission and sharing mechanism of quality educational resources based on National Network for Education and the public service platform and system for educational resources by means of the cloud computing and artificial intelligence. The new education governance models involve achieving precise, flat, and humanized education governance. Originality/Value: This article entails expounding the motivation, framework for action, main features, and vision of the education informatization 2.0 in China, which will be helpful for learning and understanding the current background, stage, and future path of China’s education informatization.

scholarly journals Course of Artificial Intelligence + Composition for Young Backbone Teachers

2020 ◽  
Vol 2 (1) ◽  
pp. 22-26
Author(s):  
Lian LIU
Keyword(s):  
Artificial Intelligence ◽  
Music Education ◽  
Markov Chain Model ◽  
Application Framework ◽  
Chain Model ◽  
Teachers And Students ◽  
Artificial Intelligence Technology ◽  
Music Model ◽  
Intelligent Technology ◽  
Practical Teaching

Based on the analysis of the needs in the education field, the basic application framework scenarios of the current artificial intelligence technology in the field of music education are constructed. The characteristics of various models (typed music model, Markov chain model, genetic algorithm model, neural network model, etc.) are used to improve the rule knowledge to form a practical and effective hybrid model. The innovation lies in combining non-note units (reproducing structures) in music composition to intelligently compose tracks by combining formulas and matrix data combinations. The project conducts in-depth cooperation on the training of composition teachers and students from the fields of curriculum teaching, practical teaching, and innovation competition, and strives to combine theoretical teaching and engineering cases, practical teaching and industrial products, subject competition and intelligent technology. Combination to achieve collaborative education of industry-academia cooperation.

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