Intelligent Network Teaching Research Articles

Retracted: Intelligent Network Teaching of Product Design Specialty Based on Video Image Processing.

[This retracts the article DOI: 10.1155/2022/6448995.].

The Impact of Teachers’ Instructional Design on the Development of Young Children’s Sense of Innovation: An Algorithmic Perspective Analysis

In the development of education, each new technology applied to the teaching process provides a new dimension of development in line with human needs. In national education, intelligent network teaching plays a role in promoting education informatization, education reform, and the smooth implementation of new curriculum standards, and the quality of education technology is an essential part of the quality structure of teachers and helps to optimize teaching and training innovative talents. Genetic algorithms play an important role in the design of intelligent network teaching systems, so the application of genetic algorithms is of great importance to the development of national education in China. The purpose of the design is to cultivate children’s interest and enthusiasm in computer technology from an early age and to form a preliminary understanding of computer technology. In recent years, with the popularity of computers and smart phones, the wave of information technology has accelerated in China. Early childhood IT teaching should be combined with the characteristics of the subject and the special understanding characteristics of the elementary school student group, to help students develop their abilities through technological innovation. This thesis starts from the characteristics of multimedia technology. Combined with the process of teaching design, several thoughts are given on how the teaching design based on multimedia technology can be more scientific and reasonable, hoping to be helpful to the pedagogues.

Intelligent Network Teaching of Product Design Specialty Based on Video Image Processing.

The product design major was formally established in 2011 and has been an important part of Chinese art education since then. At the same time, it has laid a solid foundation for the development of China's higher education. Therefore, the product design major occupies an important position in China's higher education and plays an irreplaceable role in cultivating industrial design talents for the country. With the continuous development and progress of national education, the teaching of product design is also constantly innovating, in order to better improve the teaching effect of product design and cultivate more product design professionals for the country. The purpose of this paper is to study the teaching of product design major based on intelligent network teaching, establish an intelligent network teaching system, and carry out intelligent network teaching experiment of product design major based on this system. The experiment concluded that the overall satisfaction of the students majoring in product design on the intelligent network teaching reached 82%, and the intelligent network teaching mode also increased the outstanding performance rate of the students majoring in product design by 30%.

Multimedia English teaching analysis based on deep learning speech enhancement algorithm and robust expression positioning

In multimedia English teaching, learners face such an indifferent computer screen without emotion and feel the fun of interaction and emotional stimulation, which will cause resentment and affect the learner’s learning effect. In order to improve the efficiency of multimedia English teaching, aiming at the lack of emotion in multimedia English education, this study proposes an intelligent network teaching system model based on deep learning speech enhancement and facial expression recognition. Moreover, this study uses emotional calculation as the theoretical basis and uses facial expression recognition as the core technology to judge and understand the emotional state by capturing and recognizing the facial expressions of online learners. In addition, this study has carried out experimental tests on the effect of the identification method of this paper and verified that the method has good detection effect on the real smile micro-expressions through two sets of experiments and can provide theoretical reference for subsequent related research.

Network education recommendation and teaching resource sharing based on improved neural network

Intelligent network teaching system provides learners with abundant teaching resources and convenient, excellent and efficient learning environment. However, network teaching resources are widely distributed and difficult to centralize. Resource sharing has become a key problem to be solved in the network environment. The current research on online education resource recommendation mainly focuses on offline education, and there are few studies on online education resources. Based on this, this study studies the link prediction methods in online education and establishes appropriate models for online education. In the research, through improved analysis of traditional algorithms, an improved neural network path sorting algorithm based on path sorting method is proposed. At the same time, we use the path sorting algorithm based on random walk model and neural network-path sorting algorithm to realize the link prediction problem in the online learning knowledge base. In addition, the performance analysis of the algorithm is carried out by contrast method, and the performance comparison analysis is carried out by combining various common traditional recommendation algorithms with the research algorithm of this study.

The construction of internet + piano intelligent network teaching system model

The construction of internet + piano intelligent network teaching system model

The Research and Design of Intelligent Tutoring System in Intelligent Turtoring System Based on Campus Grid

Grid technology has become the computer and network technologys research hotspot and frontier, Grid technology development and the consummation will promote the development of educational information. The intelligent has shortcoming which are resource isolated, update difficulty etc, Based on the grid technology research and application, using OGSA (Open Grid Services Architecture) grid system structure, Taking GLOBUS as the grid middleware to build grid platform. This paper discuss the educational grid minimum implementation unit - - teaching system of campus grid and put forward the network teaching system model based on the grid technology. Then establish a distributed, heterogeneous sharing information resources of the library, it provides an efficient, fully shared virtual teaching space for network tutoring system. Finally, intelligent network teaching system and the grid binding laid certain foundation.