Design of diversified teaching platform of college aerobics course based on artificial intelligence

2021 ◽  
pp. 1-13
Author(s):  
Fengping Huang
Keyword(s):  
Artificial Intelligence ◽  
Design Process ◽  
Experimental Results ◽  
Average Score ◽  
Network Teaching ◽  
Teaching Platform ◽  
Student Grouping ◽  
Function Module ◽  
And Function

In order to improve the diversified teaching effect of a college aerobics course, effectively improve the accuracy of student grouping on the teaching platform, a diversified teaching platform of college aerobics course based on artificial intelligence is designed. First of all, it puts forward the construction idea and design process of the network teaching platform, then designs the interface and function module of the teaching platform, and finally designs the grouping function of teaching objects, so as to complete the design of the diversified teaching platform of a college aerobics course based on artificial intelligence. The experimental results show that the grouping accuracy of students on the diversified teaching platform of college aerobics course based on artificial intelligence is greater than 75%, and the average score of students studying on the platform is 74.66. This explains why the designed platform can effectively provide the accuracy of grouping and the students’ performance.

Reform of English interactive teaching mode based on cloud computing artificial intelligence – a practice analysis

2020 ◽  
pp. 1-13
Author(s):  
Xiufang Liang ◽  
Lv Haiping ◽  
Jie Liu ◽  
Lin Lin
Keyword(s):  
Artificial Intelligence ◽  
Cloud Computing ◽  
Identity Management ◽  
Learning Experience ◽  
Teaching Model ◽  
Interactive Teaching ◽  
Good Learning ◽  
Function Module ◽  
And Function ◽  
Global And Local

Based on the cloud computing artificial intelligence model, the English interactive teaching model summarized and analyzed in an in-depth manner, the characteristics of the smart classroom explored, and the interactive teaching model reform practiced. This article has studied and analyzed the classic teaching model. Finally, based on constructivism, the advantages of the constructivism teaching model, cooperative teaching model, and mastering learning model selected to construct the teaching model of artificial intelligence courses. Through the questionnaire survey of the current teaching status of artificial intelligence courses, and the investigation of each link of the constructed model, according to the results of the survey to optimize the construction of artificial intelligence courses teaching model to make it more perfect. Based on the cloud computing technology, the system architecture and function module division of the network open class platform designed based on the overall needs, and developed and implemented on this basis. Through global and local two-level authentication, user information synchronization, and interconnection between homogeneous clouds, the identity management function realized. With the help of the e-schoolbag function, the learning results continuously and accurately evaluated, so that every learner can get a good learning experience.

Research on Network Teaching Platform Construction Supporting Personalized Learning

2014 ◽  
Vol 1006-1007 ◽  
pp. 1170-1173
Author(s):  
Dan Dan Wei ◽  
Le Xing Qiu
Keyword(s):  
Present Situation ◽  
Personalized Learning ◽  
Learning Needs ◽  
Digital Campus ◽  
Network Teaching ◽  
Teaching Platform ◽  
Existing Problems ◽  
Modern Learning ◽  
Function Module

According to the existing problems by investigating the present situation of the traditional network teaching platform construction, this paper designs the network teaching platform function module for adapting to modern learning needs in micro era and providing some constructive suggestions for the construction of digital campus.

scholarly journals Dimension-Based Interactions with Virtual Assistants: A Co-Design Project with Design Fictions

2021 ◽  
Vol 5 (12) ◽  
pp. 78
Author(s):  
Hebitz C. H. Lau ◽  
Jeffrey C. F. Ho
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Design Process ◽  
End Users ◽  
Daily Lives ◽  
Design Project ◽  
And Function ◽  
Future Technologies ◽  
Design Fiction ◽  
Unrealistic Expectations

This study presents a co-design project that invites participants with little or no background in artificial intelligence (AI) and machine learning (ML) to design their ideal virtual assistants (VAs) for everyday (/daily) use. VAs are differently designed and function when integrated into people’s daily lives (e.g., voice-controlled VAs are designed to blend in based on their natural qualities). To further understand users’ ideas of their ideal VA designs, participants were invited to generate designs of personal VAs. However, end users may have unrealistic expectations of future technologies. Therefore, design fiction was adopted as a method of guiding the participants’ image of the future and carefully managing their realistic, as well as unrealistic, expectations of future technologies. The result suggests the need for a human–AI relationship based on controls with various dimensions (e.g., vocalness degree and autonomy level) instead of specific features. The design insights are discussed in detail. Additionally, the co-design process offers insights into how users can participate in AI/ML designs.

Design of Network Video Teaching Service System

2014 ◽  
Vol 543-547 ◽  
pp. 3049-3052
Author(s):  
Wen Jing Zhang ◽  
Xue Liu ◽  
Chang Ju Xue
Keyword(s):  
Web Service ◽  
Service System ◽  
Teaching Method ◽  
Teaching System ◽  
Network Teaching ◽  
Development System ◽  
Teaching Platform ◽  
Performance Requirements ◽  
And Performance ◽  
Function Module

Presently, the network teaching system has become very important teaching method in college. This paper discusses the development background of network video teaching service system. Web Service technology is used to change the video teaching platform in the background. It solves the problem that the colleges don't repeat development system, analyzes the function and performance requirements of the services provided by system, and designs the function module.

Designing and Practice of a College English Teaching Platform Based on Artificial Intelligence

2017 ◽  
Vol 14 (1) ◽  
pp. 104-108 ◽  
Author(s):  
Shuli Zou
Keyword(s):  
Artificial Intelligence ◽  
College Students ◽  
Average Score ◽  
Learning Abilities ◽  
College English ◽  
English Teaching ◽  
Teaching Platform ◽  
Starting Point ◽  
Core Courses ◽  
Artificial Intelligence Algorithm

College English is one of the basic core courses for all college students in China. The course involves many difficult concepts and grammatical structures, so it is difficult to most of the students. The starting point in any teaching program is to determine whether teaching is needed to specify what that teaching should accomplish. So the students’ need is of vital importance to the success of college English teaching. Traditional college English teaching does not take into account students’ individual learning abilities and feedbacks, which would cause students to grasp the key knowledge not enough, and then make students lose their interest in English. The purpose of this paper is to establish a college English teaching platform, and using artificial intelligence to find the needs of college students and know about mastering knowledge of students. The platform can adjust the teaching schedule and contents through artificial intelligence algorithm. Statistical data of several years show that the average score of students who used the platform to learn college English is far higher than those students who didn’t use the platform. Hence, the platform can improve students’ autonomous learning and English abilities.

Construction of network open teaching platform of analytical chemistry based on facial recognition and artificial intelligence

2020 ◽  
pp. 1-11
Author(s):  
Nie Wenyan
Keyword(s):  
Analytical Chemistry ◽  
Artificial Intelligence ◽  
Genetic Algorithm ◽  
Facial Recognition ◽  
Adaptive Genetic Algorithm ◽  
Improved Genetic Algorithm ◽  
Network Teaching ◽  
Teaching Platform ◽  
Experimental Teaching ◽  
T Distribution

The theoretical and experimental teaching part of analytical chemistry is relatively boring, so it is difficult to improve the teaching results of analytical chemistry through the traditional network teaching mode. In this paper, based on the actual situation and based on the facial recognition algorithm, this paper uses artificial intelligence algorithm to build an open network teaching platform for analytical chemistry. Moreover, this paper improves the traditional adaptive genetic algorithm, and introduces a directional perturbation operator to non-linearize the adaptive adjustment probability. In algorithm design and simulation experiments, an improved genetic algorithm based on t distribution is used as an example to prove the effectiveness of the method in this paper. The platform constructed in this article is mainly applied to the teaching of analytical chemistry. The teaching of analytical chemistry includes theoretical teaching and experimental teaching. In addition, according to the actual needs of teaching, this article conducts research and analysis on the platform through theoretical teaching and experimental teaching. The research results show that the constructed teaching platform has good performance.

Design and Application of "Data Structure" Online Teaching Platform

2014 ◽  
Vol 971-973 ◽  
pp. 2556-2559
Author(s):  
Hong Qing Wu ◽  
Shao Yun Song ◽  
Min Miao
Keyword(s):  
Data Structure ◽  
Online Teaching ◽  
Traditional Classroom ◽  
Classroom Teaching ◽  
Teaching Platform ◽  
Learning Platform ◽  
Function Module ◽  
Traditional Classroom Teaching ◽  
And Function ◽  
Self Learning

The design of "data structure" online teaching platform is described in detail based on the character and requirements of "data structure" course. We discuss the choice of development tools, system architecture, and function module designs for the design of the platform. The design and use of this learning platform will improve inefficiency of traditional classroom teaching, and provide a tool to help students' self-learning and cultivate innovative spirit.

scholarly journals 3DBody Software Experimental Platform for Course of Sports Anatomy

2017 ◽  
Vol 12 (09) ◽  
pp. 4
Author(s):  
Yujia Ren ◽  
Xia Jiang ◽  
Siyuan Tang
Keyword(s):  
Curriculum Design ◽  
Teaching And Learning ◽  
Traditional Teaching ◽  
Teaching Mode ◽  
Network Teaching ◽  
Experimental Platform ◽  
New Type ◽  
Multimedia Network ◽  
Function Module ◽  
And Function

Sports anatomy is one of the important basic subjects of sports colleges and universities. As multimedia network technology increasingly matures and is popularized, it becomes an irresistible trend to transform the traditional teaching mode of sports anatomy into multimedia network teaching mode. Thus, a new-type experimental platform based on action-orientated approach and provided with MVC framework and 3DBody experimental software is put forward in this paper, and it is analyzed and interpreted from the aspects of curriculum design principle and function module of the experimental platform, teaching design model of the experimental platform, and teaching and learning methods. These findings indicate the new-type experimental platform designed in this paper is highly spoken of by students for helping improve students’ practical skill and ability and arouse students’ subjective initiative in learning.

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