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1
Lu, Jingrong. "Optimization Simulation of Balanced Distribution of Multimedia Network Modular Teaching Resources." Mobile Information Systems 2022 (September 14, 2022): 1–10. http://dx.doi.org/10.1155/2022/5348953.
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The balanced distribution of multimedia wireless network modular teaching resources is improved by optimizing and adjusting the balanced distribution of multimedia wireless network modular teaching resources. Based on block grid balanced scheduling and resource spectrum fusion, a balanced distribution method of multimedia wireless network modular teaching resources is proposed. A blockchain Internet of Things accesses control network architecture system for the balanced allocation of multimedia wireless network modular teaching resources established using the priority business scheduling method. Modular resource allocation of multimedia wireless networks and adaptive forwarding are adjusted to control the data packets. The bandwidth guarantee mechanism is used for the equitable allocation of multimedia wireless network modular teaching resources information flow. Multi-service hierarchical management of multimedia wireless network modular teaching resources spectrum is controlled by block grid balanced scheduling and resource spectrum fusion. The high-energy physical computing system structure is used to allocate the resource spectrum balance of the modular teaching resources of the multimedia wireless networks, ensuring the bandwidth requirements of various services. The classified management and balanced allocation of the multimedia wireless networks’ teaching storage, system, and teaching spectrum resources are made possible. The results of the tests show that this method effectively reduces the delay in the allocation of modular multimedia wireless network teaching resources, improves the utilization rate of modular multimedia wireless network teaching resources, and significantly improves their reading and writing performance.
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Xi Liang, Xi Liang, and Jiesen Yin Xi Liang. "Recommendation Algorithm for Equilibrium of Teaching Resources in Physical Education Network Based on Trust Relationship." 網際網路技術學刊 23, no. 1 (January 2022): 135–43. http://dx.doi.org/10.53106/160792642022012301014.
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<p>Aiming at the problems of poor balance of recommended resources in the recommendation of traditional physical education network teaching resources and low trust degree of recommended physical education network teaching resources, this paper proposes a balanced recommendation algorithm for physical education network teaching resources based on trust relationship. By SVM algorithm, the teaching resources of physical education network are classified, and then the invalid data of teaching resources of physical education network are deleted, and the remaining teaching resources of physical education network are taken as the extraction object to complete the extraction of teaching resources of physical education network. Through Kalman filtering method, the data of sports network teaching resources with noise are reduced, and then the data with high similarity are fused to complete the preprocessing of physical education network teaching resources data. By constructing the trust relationship model, the relationship attribute between the recommended physical education network teaching resources data is determined. The experimental results show that the highest degree of resource equilibrium recommended by the proposed method is about 96 and the recommended resource trust is high.</p> <p> </p>
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Chen, Liying. "The Application of Computer Management System in Physical Education Teaching." E3S Web of Conferences 275 (2021): 03016. http://dx.doi.org/10.1051/e3sconf/202127503016.
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School physical education(PE) is an indispensable part of school education, which plays an important and irreplaceable role in training builders of socialist cause with all-round development of morality, intelligence and sports. Sports network teaching management greatly improves the efficiency and efficiency of school sports teaching, which is a great change of the traditional mode., it provides a solid foundation for the establishment of Sports Network Teaching in Colleges and universities(CAU). This paper mainly studies the application of computer management system(CMS) in physical education teaching(PET). This paper studies and analyzes the method of university teaching computer management resources integration, studies the architecture of sports teaching CMS from four aspects of computing resources, storage resources, backup resources and network system, and uses ant colony algorithm to design and use sports teaching CMS. This paper also uses charts to analyze students’ attitude towards the use of CMS in PET, and the proportion of CMS in PET. The experimental results show that in the CMS of PET, the computing resources account for 38.33%, the storage resources account for 31.76%, the backup resources account for 14.62%, and the network system account for 15.29%.
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Tan, Tin-Wee, and Derek Beng-Kee Kiong. "Computer network resources and advanced level teaching of biochemical sciences." Biochemical Education 22, no. 1 (January 1994): 40–44. http://dx.doi.org/10.1016/0307-4412(94)90170-8.
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Zhao, Guotao, and Jie Ding. "Image Network Teaching Resource Retrieval Algorithm Based on Deep Hash Algorithm." Scientific Programming 2021 (October 11, 2021): 1–7. http://dx.doi.org/10.1155/2021/9683908.
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In order to improve the retrieval ability of multiview attribute coded image network teaching resources, a retrieval algorithm of image network teaching resources based on depth hash algorithm is proposed. The pixel big data detection model of the multiview attribute coding image network teaching resources is constructed, the pixel information collected by the multiview attribute coding image network teaching resources is reconstructed, the fuzzy information feature components of the multiview attribute coding image are extracted, and the edge contour distribution image is combined. The distributed fusion result of the edge contour of the view image of the network teaching resources realizes the construction of the view feature parameter set. The gray moment invariant feature analysis method is used to realize information coding, the depth hash algorithm is used to realize the retrieval of multiview attribute coded image network teaching resources, and the information recombination is realized according to the hash coding result of multiview attribute coded image network teaching resources, thus improving the fusion. The simulation results show that this method has higher precision, better retrieval precision, and higher level of resource fusion for multiview coded image network teaching resource retrieval.
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Du, Yishan, and Tianzhong Zhao. "Network Teaching Technology Based on Big Data Mining and Information Fusion." Security and Communication Networks 2021 (February 8, 2021): 1–9. http://dx.doi.org/10.1155/2021/6629563.
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With the continuous development of modern multimedia technology, the integration of computer technology into the teaching of various subjects has become a trend of the times. The application of computer media and network technology in mathematics teaching improves the integration of mathematics teaching and the integration of resources. A mathematics teaching network media fusion technology is proposed based on big data mining and information fusion, which combines the characteristics of multimedia and network technology in opening, creativity, subjectivity, and so on, and the database model of mathematics teaching is constructed. The multithread integrated scheduling method is used to design the mathematics teaching database model, the fuzzy control method is used to control the multimedia in mathematics teaching, and the big data association rule mining method is used to realize the information fusion of mathematics teaching resources. The optimization and integration of mathematics teaching resources and adaptive scheduling are realized under the technology of computer media and network, and the level of mathematics teaching is improved. The test results show that using this method to design the computer network media of mathematics teaching has a better ability of integrating and dispatching mathematics teaching resources, and the integration of mathematics teaching resources is stronger, which promotes the improvement of mathematics teaching level.
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Rong, Liu. "Design of Ideological and Political Multimedia Network Teaching Resources Integration System Based on Wireless Network." Scientific Programming 2021 (June 10, 2021): 1–15. http://dx.doi.org/10.1155/2021/4293771.
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The main purpose of the integration of network media and middle school ideological and political course is to better realize the moral education function of middle school ideological and political development. The use of resource integration technology to manage distributed teaching resources is conducive to improving the level of information construction in colleges and universities, and so on. This paper puts forward the integration system of ideological and political multimedia network teaching resources based on wireless network. Firstly, it presents an overview of the Radio Resource Management (RRM) problem and projected strategies within wireless network framework, where several Radio Access Technologies (RATs) are collectively controlled and identify the different activities relating to the CRRM issues. Secondly, this paper targets providing a summary of the RRM problem and projected solutions within wireless network. Thirdly, the theoretical elements of the design and the teaching resource management assessment process are clarified by using XML as the data exchange carrier to realize the automatic integration of teaching resources. Fourthly, we have used dSPACE platform, by calling its API function, which then call the subscribe function of dSPACE framework and store the subscription information in the database. Whenever new teaching resources enter the subscribed field, the dSPACE framework will automatically send e-mail to the subscribers. Finally, during the operation of the system, all functions operate normally and have strong security, so as to avoid the illegal theft or leakage of the data about the education system.
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Lv, Haiyan. "Construction and Sharing of Network Education Resources Based on DM Technology." Mobile Information Systems 2022 (June 16, 2022): 1–10. http://dx.doi.org/10.1155/2022/1188942.
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In traditional teaching, teachers mainly rely on books to impart knowledge to students, and students mainly broaden their knowledge and enrich their knowledge reserves through books. In network teaching, network construction is the foundation, resource construction is the core, teaching application is the purpose, teachers or students can query through the network, and transfer the required content from the repository of teaching information resources, teaching or learning. It is a new achievement of modern information technology applied to education, which breaks through the time and space boundaries and is different from the traditional classroom teaching mode. Based on DM technology, this paper studies the construction of network education resources, collects all aspects of attribute information of visitors, recommends the most interesting content to visitors on the premise of grasping the scope and characteristics of visitors’ needs, and adjusts the changes of users’ interests at any time to remove the information never visited. Using DM technology, the mining data source can be obtained by data cleaning. DM technology can be divided into classification and prediction, cluster analysis and association analysis according to functions.
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Feng, Weizhou. "Research on the application of computer network resources in Japanese Teaching." Journal of Physics: Conference Series 1915, no. 3 (May 1, 2021): 032064. http://dx.doi.org/10.1088/1742-6596/1915/3/032064.
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Li, Ya. "Study on the Application of Computer Network Resources in Japanese Teaching." Journal of Physics: Conference Series 1992, no. 3 (August 1, 2021): 032071. http://dx.doi.org/10.1088/1742-6596/1992/3/032071.
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Geng, Yunshan. "Application of Computer Remote Video Technology in Network Assisted Art Innovation by Computer Artificial Intelligence." Journal of Physics: Conference Series 2083, no. 4 (November 1, 2021): 042038. http://dx.doi.org/10.1088/1742-6596/2083/4/042038.
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Abstract In response to the needs of the teaching of art majors in colleges and universities today, this paper constructs a “based on campus network art major’s hybrid auxiliary teaching innovation platform system”. The system uses a perfect campus network to establish a secure network-assisted teaching platform system that integrates B/S structure and advanced ASP. NET technology with multi-level users. The platform provides a complete network-assisted teaching environment and realizes the integration and sharing of teaching resources in the largest range. Practical application shows that the highly operable courses of art majors in colleges and universities can stimulate students’ initiative and improve students’ learning ability under the application of this mode.
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Xiaolong Weng. "Design and Implement of PE Network Education Platform Facing to Network Sports Teaching Resources." International Journal of Advancements in Computing Technology 5, no. 7 (April 15, 2013): 263–71. http://dx.doi.org/10.4156/ijact.vol5.issue7.32.
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Liao, Shuangshuang. "Construction and Application of Music Teaching Resources Based on Recurrent Neural Network." Mobile Information Systems 2022 (July 5, 2022): 1–9. http://dx.doi.org/10.1155/2022/8482265.
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Along with the rapid development of informational techniques, educational techniques are becoming increasingly important in the field of education, encouraging the reform and innovation of traditional educational concepts and teaching methods. Various music teaching aids have also become widely available. However, there is a scarcity of assistive software that is truly appropriate for music classroom instruction. A neural network is an artificial model that models and connects neurons, which are the basic units of the animal or human brain, to stimulate the nervous system’s learning, association, memory, and pattern recognition functions. We propose a recurrent neural network (RNN)-based music teaching resource construction, method, and application in this paper, focusing on the needs of music distance learning, analysing the user role needs of teachers, students, and system administrators involved in teaching and learning, and designing a mobile teaching platform in line with music teaching based on the characteristics of music teaching. The experimental results show that the system’s accuracy increases steadily with the number of iterations, and the accuracy fluctuation is stable, with an average accuracy of 72 percent and good system stability. As a result, research into this topic has significant implications for improving the quality and efficiency of music education in China, reforming the current school music education model, developing social music education, and realising music education for all and lifelong music education.
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Luo, Qi, and Bin Wang. "Research on Physical Network Education Teaching Resources Construction and Knowledge Management Technology." Key Engineering Materials 439-440 (June 2010): 1522–27. http://dx.doi.org/10.4028/www.scientific.net/kem.439-440.1522.
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With the rapid development of multimedia computer and network technology, network learning becomes possible. With network learning, the boundaries of the traditional teaching method are broken, different place and time opening learning can be achieved, which increases the flexibility of learning greatly. At present, many sports colleges and institutions have also established sport education resources database, which has applied in network education. However, due to the particularity of physical education, physical teaching resources construction is still exist some problems. Based on it, knowledge management technology is applied in this paper and physical teaching network resources are constructed. The aim is to analysis physical education network resources characteristics and form standards to manage teaching resources effectively
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Hou, Haibing, and Shenghui Zhou. "Integration and Optimization of Multimedia Network-Assisted English Teaching Resources Based on Association Rule Algorithm." Mobile Information Systems 2022 (August 30, 2022): 1–9. http://dx.doi.org/10.1155/2022/3565891.
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This paper proposes a paradigm of integration and optimization of English teaching resources based on the association rule algorithm and improves the Apriori algorithm by introducing interest measure and manual labeling through semisupervised learning of the neural network to improve the quality of English instruction assisted by the multimedia network. The efficiency of the method is higher than the original Apriori algorithm and the Apriori algorithm based on hash technology, according to experimental results. The new integration and optimization of the algorithm-based teaching model of English teaching resources also guide multimedia and network-assisted English teaching activities.
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Li, Ruipu. "Algorithm Design for Sharing Orchestral Network Teaching Resources Using New Media Platform." Mobile Information Systems 2022 (September 26, 2022): 1–12. http://dx.doi.org/10.1155/2022/7238554.
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The new educational media platforms were introduced to address the problems related to sharing teaching content and promoting students’ learning abilities. However, there are several issues with distributing educational resources on new media platforms, both globally and domestically. In terms of resources, teaching resources are scarce and individual and lack systematization, which affects the implementation and development of our orchestral education and teaching in new media. Regarding technology, there are currently vacancies in data linkage and exchange between different databases when the resource sharing platform is used and the existing system is in operation. The packet loss rate created by the existing technology is far too high. To address this problem, this paper designs a new platform as well as an algorithm, applies to online teaching resource distribution based on a new media platform, plans the teaching resource attributes of orchestral music majors, and studies the optimal solution for the resource sharing game model regarding load balancing and honesty allocation principles in a distributed scenario of heterogeneous networks. Experiments show that our strategy reduces network demand by a significant amount. The results made the designed algorithm applicable to be created, developed, and deployed practically.
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Wang, Shuai, Mengchen Xue, Qi Wang, Dandan Li, and Jianxing Wang. "Multimedia Computer Network Education in Students’ Wisdom Course Teaching." Mobile Information Systems 2022 (July 16, 2022): 1–7. http://dx.doi.org/10.1155/2022/6806151.
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With the development of multimedia related technologies, smart education has entered a new stage. With the support of multimedia computer network education, education is no longer traditional school education, network education can be carried out through smart devices, and knowledge innovation and dissemination can be achieved through the huge teaching resources of the multimedia and the Internet. By investigating the application of multimedia computer network education in smarter course teaching, this paper analyzes the students’ recognition of the use of multimedia tools for smarter course teaching in smarter course teaching activities, students’ participation in smarter course learning activities under multimedia computer network education, and students’ learning effects to prove that multimedia technology is conducive to the improvement of students’ learning quality.
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Liu, Lihong. "Integration and Recommendation of Multimedia Network-Assisted English Instructional Resources Based on Association Rules Mining." Mobile Information Systems 2022 (August 13, 2022): 1–10. http://dx.doi.org/10.1155/2022/8806525.
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The integration of multimedia teaching refers to a novel teaching mode that combines multimedia, information resources, and information methods with content and teaching process in the teaching process with the guidance of contemporary educational ideas and organically unifies them on a spatial and temporal platform, so as to better accomplish the teaching tasks. However, with the deepening of network teaching and school connotation construction, various resources such as media materials, courseware, network courses, and teaching cases generated by education and teaching, as well as academic works, papers, patents, project results, and lectures of experts and professors gathered by scientific research, are increasing. In this situation, how to integrate teaching resources and courses to provide students with an independent learning platform and an information-based learning environment has become an urgent issue. For this problem, data mining has shown a strong vitality, and data mining can find out the potential connection between datasets. Association rule mining is the most researched and widely used data mining method. In this paper, we propose a multimedia network-assisted English integration of educational resources method based on association rule algorithm to give full play to the role of “multimedia technology” and realize the integration of traditional English teaching and information network culture, so as to achieve the purpose of optimizing English teaching. The experimental results show that with the increase of data volume, the average testing time of Apriori is reduced by 56.49 s compared with MapReduce, so the advantage of Apriori algorithm is more obvious. Therefore, this research can effectively provide students with rich and colorful personalized resources, realize high-performance interactive learning, and help students cultivate their independent learning ability as well as their lifelong learning habits.
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Liu, Yue, Dan Dan Ma, Rui Wang, Hua Li, and Hong Zhou. "Study on 3-D Environment Technology of Basic Computer Teaching." Applied Mechanics and Materials 321-324 (June 2013): 2282–85. http://dx.doi.org/10.4028/www.scientific.net/amm.321-324.2282.
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This paper attends to descript the main concepts of Teaching Resources Web platform. Then descripting the feasibility of implementation platform from the technical aspects, designed and constructed 3-D network-based teaching resources combined with Basic Computer course, In the construction of three-dimensional architecture of teaching resources, firstly analysis the characteristic of learner, then design its relevant function module. Finally the paper summarizes and prospects the shortcomings of the study, as well as to make constructive suggestion for later study.
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Guo, Zuhua, and Lixin Xu. "Study on the Integration Mode of Computer Network Technology and College English Curriculum." International Journal of Emerging Technologies in Learning (iJET) 11, no. 08 (September 1, 2016): 40. http://dx.doi.org/10.3991/ijet.v11i08.6046.
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Teachers suffer from educating while students struggle with examination. College English teaching is too time-consuming and inefficient. These have been topics of concern and interest in the reform of college English teaching and learning in China. With the large expansion of the number of universities, the shortage of teaching resources has reached a bottleneck of the quality improvement of higher education in China. In the face of such a dilemma, the integration of computer network technology and curriculum teaching and the realization of the efficient integration of limited resources are an effective way to solve the pressing challenge. In this paper, the problems and advantages of the integrated mode of computer network technology and college English curriculum are discussed.
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Zhang, Yezi. "Development and Application of Artificial Intelligence Multimedia Technology Based on Big Data." Mobile Information Systems 2022 (January 4, 2022): 1–10. http://dx.doi.org/10.1155/2022/2073091.
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Artificial intelligence is an innovative enterprise theme that combines computer science, physiology, science, and other disciplines, including expert programs, technical experiments, games, native language understanding, cognitive rehabilitation, robotics, engineering, recognition, and other fields. The breakthrough growth made the arrival of the era of big data have a fundamental impact on many traditional industries and has also promoted the transformation of teaching methods and methods in the field of education. In the traditional classroom, due to the limitations of teaching resources, teaching time, and location, students are basically passively accepted by the teacher, and the teaching form is single. This will improve in the age of big data with well-developed network message. Modern distance education uses advanced technology such as computer networks, multimedia, and artificial intelligence to build a virtual teaching environment based on the network. It breaks through the limitations of teachers, teaching materials, experimental equipment, and other resources that exist under the traditional teaching model. Using educational resources of the same scale can expand educational capabilities exponentially and at the same time overcomes the unified progress of traditional teaching methods, single teaching methods, and students’ dissatisfaction. The shortcomings of differences and personalities that are not reflected are conducive to the improvement of the quality of education. It is the original intention of education to offer students special study resources and to stimulate students’ enthusiasm for learning. To enhance the current learning environment, the article builds a personalized multimedia network teaching system based on big data and streaming media technology. By recording the teacher’s class process as a video and uploading it to the multimedia network teaching system, students can watch and download related videos online for learning and also communicate online. The system can also provide personalized and intelligent recommendations for students based on student learning habits. The system is developed based on intelligent multimedia method and has the characteristics of security and stability and has done some help for network teaching of educational institutions.
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Ma, Kai. "Research on Basketball Teaching Network Course Resource Recommendation Method Based on Deep Learning Algorithm." Mobile Information Systems 2021 (October 11, 2021): 1–7. http://dx.doi.org/10.1155/2021/3256135.
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To solve the problem of invalid resource recommendation data and poor recommendation effect in basketball teaching network course resource recommendation, a basketball teaching network course resource recommendation method based on a deep learning algorithm is proposed. The objective function is applied to eliminate the noise in the basketball teaching network course resource data. The prominent characteristics of basketball teaching network curriculum resources are extracted using a kernel function and combined into a feature set. A convolution neural network (CNN) was employed to realize the basketball teaching network curriculum resources recommendation model. The model was assessed in terms of computation time and recognition error. To validate the performance, the proposed model was compared with two well-known recommendation models such as the learning resource recommendation method based on transfer learning and the personalized learning resource recommendation method based on three-dimensional feature collaborative domination. Experimental results show that the proposed model achieved the lowest computation time of 15 s and recommendation error less than 0.4% as compared with the existing model.
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Zhang, Jun Hua, Da Ping Wang, Lin Wang, and Xin Guo. "Study on Resource Construction and Management of Multimedia Network Teaching." Advanced Materials Research 756-759 (September 2013): 800–803. http://dx.doi.org/10.4028/www.scientific.net/amr.756-759.800.
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The rapid development of computer technology, internet technology and multimedia technology has an increasingly profound impact on education. The importance of multimedia network teaching has been fully affirmed, and the quality of network teaching resources is the core, which is directly related to the effectiveness of teaching. Some practicable methods on resource construction and management of multimedia network teaching are proposed in this paper, to standardize teaching resources, realize resource sharing, improve teaching quality and management effectiveness and at the same time meet the needs of digital learning.
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He, Ying. "English Multimedia Online Teaching Resource Processing System Based on Intelligent Cloud Platform." Mobile Information Systems 2022 (June 1, 2022): 1–11. http://dx.doi.org/10.1155/2022/9952782.
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In order to improve the quality of online English teaching, starting from English online teaching resources, this paper applies cloud computing technology to the teaching resource integration process to design a comprehensive cloud storage control method based on user habits. Moreover, this paper uses the user habit extraction algorithm to extract the user’s habit information and then realizes the control of cloud storage with the help of these habit information. After that, the system can realize intelligent management of cloud storage in space by analyzing the information and converting it into corresponding cloud storage control instructions. In addition, this paper constructs an integrated system of English multimedia network teaching resources under the support of cloud storage technology. Finally, this paper uses simulation experiments to verify that the integrated system of English multimedia network teaching resources based on cloud storage has a good effect.
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Du, Haibao. "An English Network Teaching Method Supported by Artificial Intelligence Technology and WBIETS System." Scientific Programming 2021 (August 28, 2021): 1–9. http://dx.doi.org/10.1155/2021/8783899.
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The traditional English teaching system has certain problems in the acquisition of teaching resources and the innovation of teaching models. In order to improve the effect of subsequent English online teaching, this paper improves the machine learning algorithm to make it a core algorithm that can be used by artificial intelligence systems. Moreover, this paper combines the WBIETS system to expand the system function, analyzes the needs of the English network teaching system, and constructs the system function modules and logical structure. The data layer, logic layer, and presentation layer in the system constructed in this paper are independent of each other and can be effectively expanded when subsequent requirements change. In addition, this paper solves the problem of acquiring English teaching resources through the WBIETS system. To evaluate the performance of the English network teaching system, this paper performs comprehensive mathematical and experimental analysis. The experimental results show that the system constructed in this paper basically meets the actual teaching requirements.
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Li, Jin. "Research on the Application of Artificial Intelligence Wireless Network Technology in the Optimization of University Resources." Wireless Communications and Mobile Computing 2022 (March 16, 2022): 1–10. http://dx.doi.org/10.1155/2022/7563351.
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With the increase of teaching resources in universities, allocation for teaching resources has gradually attracted people’s attention. How to optimize and reorganize the numerous teaching resources so as to maximize the teaching efficiency and achieve the best teaching effect is a question that the majority of college management workers must think deeply. Due to the development of computer science, artificial neural networks and wireless networks have made considerable progress. This article optimizes the resources of colleges and universities from these two aspects. First, this work proposes an improved artificial neural network to optimize school resources. The algorithm pointed out that the adaptive genetic algorithm itself has problems such as slow evolution speed and poor individual diversity of the population. After that an improved adaptive genetic algorithm is proposed to optimize BP network training process. By introducing individual evolutionary trend adjustment parameters, a new calculation formula for crossover probability as well as mutation probability is constructed. Improved BP algorithm can effectively avoid the shortcomings of local minima. Second, additional momentum and adaptive learning rate strategies are used to optimize BP network to promote the efficiency for network training. Third, the artificial intelligence network is deployed in the wireless network, and the wireless network will complete the work of data collection, processing, and transmission, so as to optimize the resources of colleges and universities.
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Zhang, Chun Mei, and Hai Sheng Shi. "Study on Information Sharing Platform and Network Open Experiment." Applied Mechanics and Materials 484-485 (January 2014): 856–59. http://dx.doi.org/10.4028/www.scientific.net/amm.484-485.856.
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The construction of the computer network experimental platform can effectively solve the existing problems in the computer network teaching, and has the vital significance for promoting the quality education, and improving the students' practical skills. This article mainly discusses the construction of the open experimental platform of the computer network laboratory of the Shandong University, mainly introduces the software and hardware resources of the open experimental platform, and the teaching contents and teaching methods of the open experiment, and sums up the teaching effect of the open experimental platform.
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Liu, Xiaoli, Lei Xiao, and Zhengbiao Jing. "Integration of Network Teaching Resources of a Political Theory Course Based on the Collaborative Filtering Algorithm." Wireless Communications and Mobile Computing 2022 (June 27, 2022): 1–10. http://dx.doi.org/10.1155/2022/4945598.
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With the advent of the information age, the traditional practice teaching model presents many limitations and the popularization of the Internet makes the integration of network resources in the practice teaching of political theory courses begin to attract the attention of scholars. It has become the general trend to realize the integration of network resources in practical teaching. In view of some teachers’ lack of scientific research on the goal orientation of resource integration, there are phenomena of blind accumulation of resources, complex resource structure, and aging resource content in the teaching resource integration of the political theory course. Therefore, based on the excellent performance of the collaborative filtering algorithm in similarity, this paper improves the inaccurate and unstable situation of traditional political theory course network resource integration by modifying parameters such as Pearson similarity function and optimizing the algorithm structure. Strengthening the integration and utilization of practical teaching resources is conducive to improving the effectiveness of political theory course teaching and to alleviating the current situation of serious shortage of practical teaching resources in political theory courses.
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Shuangling, Gai, and Wu Yafen. "Application of the Iot Network and the Deep Learning Concept in Music Teaching." Security and Communication Networks 2022 (April 7, 2022): 1–8. http://dx.doi.org/10.1155/2022/7325660.
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In order to realize students’ in-depth understanding of music teaching content, it is necessary to reasonably allocate teaching materials according to the teaching content. Therefore, this paper puts forward the application of the concept of the Iot network and deep learning in music teaching. After the teaching resources are vectorized, the distinguishing local registration method of the DLA model is used to extract their features. Based on the dimension of the teaching content, the features of the teaching content are output in the DLA model, the music teaching resources are allocated according to the minimum matching error criterion, the hyperbolic tangent function is taken as the activation function, and the feature error is filtered by maximum aggregation. The experimental results show that the design method can, according to the music teaching content, have more than 80% accuracy in the shallow distribution and deep distribution of teaching materials, and play a positive role in promoting students’ in-depth learning.
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Sun, Haoyue, Juan Hao, Yang Yang, and Xinxin Yin. "Design and Implementation of Computer Network Virtual Experiment Education Teaching Platform Based on Mathematical Image and Signal Processing." Mathematical Problems in Engineering 2022 (June 2, 2022): 1–11. http://dx.doi.org/10.1155/2022/6028700.
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Computer network, as the basic course of teaching information majors in colleges and universities, in the process of teaching and learning, shows the characteristics of rich content, abstract theory, and difficulty understanding. This requires us not only to pay attention to theoretical teaching but also to pay attention to experimental teaching in the study of this subject. The current computer network experiment teaching mainly takes the form of computer room as the teaching location, which consumes a lot of manpower and material resources. That computer network experiment teaching based on simulation has lost the practical significance of network teaching. Through the analysis of the characteristics of the experimental teaching of computer network courses, this study studies and designs a set of computer network experimental platforms based on virtualization, aiming at the deficiencies in the existing experimental teaching of computer network courses. When the thread pool is 1, 2, 3, and 4, the average response time of the system is 324873 ms, 279309 ms, 227300 ms, and 221670 ms, respectively.
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YiFei, Sun. "Design of Network-Assisted Teaching of Ideological and Political Courses for College Students Based on Android System." Wireless Communications and Mobile Computing 2022 (January 10, 2022): 1–10. http://dx.doi.org/10.1155/2022/8701947.
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In order to be able to provide learning resources for learners anytime and anywhere and improve the quality of online teaching, a network-assisted teaching system for college students’ ideological and political courses based on the Android system is designed. The characteristics of the Android system platform and its hierarchical structure are analyzed, and the overall structure of the network-assisted teaching system was designed based on it and through the construction of the system user login module, learning resources module, operation management module, unit test module, and teaching interface display module, so as to achieve the effect of network assisted ideological and political course teaching. The preferences of students were fully considered, the needs of students with different resource spaces were matched, and the genetic algorithm is used to share the information of network teaching resources to meet the needs of ideological and political teaching. According to the experimental results, the system designed in this paper has high accuracy in the recommended content of ideological and political education resources and the coverage of resource recommendation is relatively high, indicating that the application effect of the system is better.
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Sarkar, Nurul I. "Enhancing Teaching and Learning Wi-Fi Networking using Limited Resources to Undergraduates." International Journal of Web-Based Learning and Teaching Technologies 8, no. 4 (October 2013): 1–18. http://dx.doi.org/10.4018/ijwltt.2013100101.
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Motivating students to learn Wi-Fi (wireless fidelity) wireless networking to undergraduate students is often difficult because many students find the subject rather technical and abstract when presented in traditional lecture format. This paper focuses on the teaching and learning aspects of Wi-Fi networking using limited hardware resources. It provides a walk-through tutorial on setting up Wi-Fi networks using wireless laptops and access points. Students can easily set up and configure Wi-Fi networks using relatively few computing resources to learn networking concepts more effectively. By measuring the key performance metrics such as network throughput and response times, students are able to gain a deeper understanding of Wi-Fi network performance and related issues. The effectiveness of these Wi-Fi practical learning activities has been evaluated both formally by students and informally in discussion within the teaching team. This paper describes the overall effectiveness of teaching and learning Wi-Fi network fundamentals using limited resources.
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Zhang, Jing. "An English Teaching Resource Recommendation System Based on Network Behavior Analysis." Scientific Programming 2021 (November 30, 2021): 1–9. http://dx.doi.org/10.1155/2021/6191543.
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The sharing of English teaching resources has always been a concern. In order to further improve the value of different English teaching resources, this paper proposes a resource management system based on an improved collaborative recommendation algorithm. The proposed model can predict user behavior based on deep learning models of graph neural network (GNN) and recurrent neural network (RNN). The graph neural network can capture the hidden state of local user behavior and be used as a preprocessing step. Recurrent neural networks can capture time series information. Therefore, the model is constructed by combining GNN and RNN to obtain the advantages of both. In order to prove the effectiveness of the model, we used CNGrid’s real user behavior dataset in the experiment and finally compared the results with other methods. The different deep learning-based models achieved a precision of up to 88% and outperformed other traditional models. The experimental results show that this new deep learning model has good sharing value.
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Du, Lian Yan. "Design on Structure and Integrity for Foreign Language Network Learning Resource Library." Applied Mechanics and Materials 543-547 (March 2014): 4581–84. http://dx.doi.org/10.4028/www.scientific.net/amm.543-547.4581.
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Network learning resources is accompanied by computer technology, communication technology and network technology developed new educational resources, for foreign language teaching providing a variety of teaching materials. For difficult problems in foreign language network learning resources construction, the paper based on SQL Server database management system to study resource library structure and integrity design. It based on requirements analysis and systems involved in language classes, resource types, resources, resource files, resource evaluation five entities, the part of structural design consisted includes conceptual design and logical design, the part of integrity design includes entity integrity design and referential integrity designs. This article provides practical solutions for foreign language learning resource library construction, for improving the quality of teaching foreign language has great significance.
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Wan, Zi. "The Design and Implementation of Resources Sharing System Based on the Cloud Computing." Applied Mechanics and Materials 543-547 (March 2014): 3316–19. http://dx.doi.org/10.4028/www.scientific.net/amm.543-547.3316.
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Accompanying the development of the computer technology and network technology, the sharing of teaching resources is achieved by exploiting the network resources in most schools. The traditional network model for the sharing of teaching resources is likely to result in information island, that result in links among the islands not smooth, it is also difficult to achieve the needs of users. So research approach of the teaching resource sharing system based on cloud computing is given in this paper. The design of this approach combines cloud computing and web development technology, makes full use of the characteristics of cloud computing, and reaches the purpose of the elimination of the information island.
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Chen, Lin, and Xuebo Yan. "Exploration of PBL Teaching Mode of Embedded Design Course Based on Network Teaching Platform." Mobile Information Systems 2022 (August 21, 2022): 1–10. http://dx.doi.org/10.1155/2022/6740561.
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With the rapid development of online courses and continuous development of online courses, the content, functions, and forms of its teaching platform are becoming more and more diversified. Problem-based learning (PBL) is a kind of “problem,” “learner,” and “cooperative learning” as the center, creating a problem-solving learning environment and allowing students to carry out problem-based learning activities. The teaching method based on PBL is also suitable for the network teaching environment. Embedded design refers to the design of embedded application systems with real-time, specificity, and limited resources through different methods. This article primarily presents the investigation of the PBL showing method of inserted plan courses in light of the organization showing stage and means to give a few thoughts and headings to the examination of the organization showing stage under the PBL mode. This study proposes an exploration method for the PBL teaching mode of embedded design courses based on the network teaching platform, including literature research method, survey research method, experience summary method, and embedded system-related algorithms, which are used to carry out the embedded design course PBL based on the network teaching platform teaching mode exploration experiment. The exploratory aftereffects of this study show that 90.18% of understudies like the PBL show stage for implanted plan courses.
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Liu, Yajie. "Research on a New Mode of Oral English Teaching Based on Computer Network Assistance." MATEC Web of Conferences 359 (2022): 01030. http://dx.doi.org/10.1051/matecconf/202235901030.
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Oral English teaching is an important form of cultivating students' English accomplishment and improving their English learning effect. In the context of intelligent education, by giving full play to the advantages of computer network and actively reconstructing the new mode of Oral English teaching, we will, on the basis of optimizing the form of oral English teaching and by integrating high-quality oral English teaching resources, to promote students to participate in oral English learning and speaking practice in a conscious and spontaneous way. Based on the analysis of the existing problems in spoken English teaching, this paper puts forward the construction and implementation of a new spoken English teaching model based on computer network.
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Zhang, Rongfeng. "Grid Architecture and Metadata Model of Computer Education Resources Based on Network Teaching Mode." Journal of Physics: Conference Series 1881, no. 4 (April 1, 2021): 042068. http://dx.doi.org/10.1088/1742-6596/1881/4/042068.
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Luo, Wanshu, and Bin Ning. "Toward Piano Teaching Evaluation Based on Neural Network." Scientific Programming 2022 (January 12, 2022): 1–9. http://dx.doi.org/10.1155/2022/6328768.
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With the rise of piano teaching in recent years, many people participated in the team of learning steel playing. However, expensive piano teaching fees and its unique one-to-one teaching model have caused piano education resources to be very short, so learning piano performance has become a very extravagant event. The factors affecting music performance are varying, and there are many types of their evaluation such as rhythm, expressiveness, music, and style grasp. The computer is used to simulate this evaluation process to essentially identify the mathematical relationship between factors affecting music performance and evaluation indicators. The use of computer multimedia software for piano teaching has become a feasible way to alleviate the contradiction. This paper discusses the implementation method of piano teaching software, the issues of computer piano teaching, the computer teaching as one-way knowledge, and the lack of interaction. The neural network (NN) model is used to evaluate the piano performance and simulate teachers to guide students through their exercise. The performance of the proposed system is tested for the piano music of “Ode to Joy,” which is different from the collection of NN training samples, and is delivered ten times by another piano teacher, student A (piano level 6), and student B (piano level 5).
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Zhang, Su. "Network Interactive Application of High-Performance Computing Platform for Japanese Teaching." Wireless Communications and Mobile Computing 2022 (July 31, 2022): 1–12. http://dx.doi.org/10.1155/2022/4842438.
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With the development of network technology, Japanese teaching is increasingly showing the characteristics of network, and information interaction is becoming more and more frequent. Interactive teaching is a new teaching mode under the network environment. However, traditional interactive teaching cannot meet the flexibility and dynamics of resource allocation in the network environment. In the daily Japanese teaching process, the contradiction between the students’ growing need for learning resources and the unbalanced and insufficient distribution of resources is becoming more and more acute. High-performance computing is a model of swarm computing, which can solve the contradiction between complex student needs and resource allocation. Based on this, this paper proposes a Japanese interactive teaching method based on a high-performance computing platform. Experiments show that the interactive Japanese teaching method based on HPC can effectively improve students’ Japanese performance. Among them, the scores of high-level students increased by 23.3%, and the proportion of middle-level students accounted for more than 70.9%.
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Ning, Jing, and Haidong Ban. "Blended Teaching Strategies of College English Translation under the Background of Internet." Mobile Information Systems 2022 (July 31, 2022): 1–7. http://dx.doi.org/10.1155/2022/7276017.
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Blended learning has taken center stage in higher education because it involves overseeing of “Online learning” and the ongoing growth of teaching reform in colleges and universities. Internet promotes the reconfiguration and integration of educational resources. The Internet has greatly magnified the role and value of high-quality educational resources. Blended teaching combines the advantages of traditional teaching and network teaching to complement each other; it not only gives full play to the flexibility and autonomy of network teaching, but also retains the connection of teacher-student emotional communication in traditional teaching. Translation teaching is an important part of college English teaching. This article mainly introduces the research of college English translation (CET) blended teaching strategies under the Internet background. This paper proposes a research plan for CET blended teaching strategies under the Internet background, including literature research method, questionnaire survey method, analytic hierarchy process, expert interview method, teaching evaluation sentiment classification algorithm based on feature-weighted Stacking algorithm, and analytic hierarchy process of the teaching effect evaluation algorithm. The experimental results of this article show that the average value of the questionnaire Cronbach’s α coefficient is 0.915, demonstrating that the study's information is both extremely plausible and reasonably real.
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Liu, Chao, and Zhian Yi. "Integrating and Sharing of Instructional Resources for Local Colleges Based on Cloud Computing." Advanced Materials Research 591-593 (November 2012): 2232–35. http://dx.doi.org/10.4028/www.scientific.net/amr.591-593.2232.
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As the concept has been recommended in recent years, cloud computing more and more into sight. Centralized its computing and storage to the network, let local application procedures and client simple to only a support scripting browser, the performance of personal computer to minimize, maximize function,on the resources of the distribution of teaching resources integration way is needed. This paper expounds the concept and characteristics of cloud computing,and then it puts forward how to manage the teaching resources of college by cloud computing, in order to base the teaching resources sharing mechanism which relies on cloud technology , integrate the teaching resources, share the resources based on data security, promote the construction of digital teaching resources and the high quality teaching resources sharing.
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Yuanfei, Zhang. "A Personalized Recommendation System for English Teaching Resources Based on Learning Behavior Detection." Mobile Information Systems 2022 (September 7, 2022): 1–8. http://dx.doi.org/10.1155/2022/4531867.
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When confronted with a plethora of resources, many students struggle to quickly filter out the content that is relevant to them. Because there are many English teaching resources and it is difficult to accurately recommend suitable teaching resources for students. Therefore, in this paper we suggest a personalized recommendation system for English teaching resources, which is founded on learning behavior detection. To begin with, a spatiotemporal convolutional network is introduced to effectively identify students’ online classroom behavior, and a global attention module is added to increase the model’s ability to learn global feature information. Furthermore, the identified characteristics of student behavior are incorporated into the recommendation module. Similarly, the differential evolution (DE) algorithm is implemented to the smoothing factor and kernel function center of a generalized regression neural network (CRNN) for resource recommendation mode, while taking into account the strong dependence of the GRNN training effect on the smoothing factor and the kernel function center. The smoothing factor and offset factor are optimized and solved, and the optimized smoothing factor and offset factor are used to recommend GRNN resources. Experiments show that the approach described in this work first has a high precision (i.e., 90.98%) in behavior recognition, and second, the recommendation performance is superior to both of the comparison algorithms (i.e., 85.23% and 78.33%), resulting in better resource recommendation accuracy. The fundamental goal of this work is to deliver several important guidelines for the informatization and intelligence of the English educational resources and services.
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Feng, Jian, Jing Zhao, Hongpeng Tian, Hongmei Jin, and Rong Liang. "Research and Practice Online-offline Blended Teaching Mode on Computer Networks Curriculum." Advances in Education, Humanities and Social Science Research 1, no. 1 (May 10, 2022): 289. http://dx.doi.org/10.56028/aehssr.1.1.289.
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After combing the basic ideas and development processes of the online-offline blended teaching, under regular epidemic prevention and control and in the context of the “Computer Networks” curriculum reform, analyzes the pain point problems of the course, and constructs a problem-oriented online-offline blended teaching mode, explains the design ideas for blended teaching from teaching content and resources, teaching organizations and implementation, assessment methods, etc. Related SPOC is developed on the online learning platform China University MOOC. The implementation process includes before class, during class and after class. The teaching contents are network architecture and hierarchical model, basic communication principle, IP packet forwarding, reliable transmission principle, routing algorithm, mainstream network application, etc.. Verified by teaching practice, a good teaching effect has been obtained. The innovation of this research is to integrate the intelligent education environment, advanced teaching concepts and optimal teaching design to construct a scientific and efficient blended teaching model based on the intelligent teaching platform.
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Fu, Yulan. "Evaluation of College Basketball Teaching Based on Deep Learning." Mobile Information Systems 2022 (July 19, 2022): 1–9. http://dx.doi.org/10.1155/2022/4829191.
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Physical education at college is the final step of school physical education, and it is critical to a student's educational experience. There are numerous issues such as the integration of existing teaching resources, combining the characteristics of basketball teaching to improve teaching quality, and the use of basketball as a means of lifelong physical exercise faced by college basketball teachers. To address these challenges, this research attempts to integrate the backpropagation (BP) neural network technique with its enhanced deep learning algorithm by adjusting the learning rate, adding more momentum items, increasing the excitation function, and other methods. A teacher’s effectiveness as a teacher is examined using numerous variables utilizing the suggested BP neural network assessment model for measuring teaching quality. In addition, the specific implementation of the improved BP neural network algorithm includes the determination of the number of BP neural network layers, the input data preparation method, and the number of neurons per layer. Finally, the simulation experiment evaluates the teacher’s teaching quality using the upgraded BP neural network.
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J. Woodley, Carolyn, Sean Fagan, and Sue Marshall. "Wadawurrung Dya Baap Ngobeeyt: teaching spatial mapping technologies." Campus-Wide Information Systems 31, no. 4 (July 29, 2014): 276–87. http://dx.doi.org/10.1108/cwis-10-2013-0059.
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Purpose – Aboriginal communities in Australia must have mapping information and technology to effectively and independently administer their land holdings and to define, evidence and thus protect their community and cultural identity. The purpose of this paper is to report on a pilot project that developed a customisable education programme to support Indigenous communities in the uptake of spatial mapping technologies to protect and manage cultural heritage in Victoria, Australia. Design/methodology/approach – A training programme to support Wadawurrung capabilities in spatial mapping technologies was developed, delivered and evaluated. Concurrently, the system's database was indigenised by Wadawurrung cultural heritage workers. Types and numbers of culturally significant sites mapped using the technologies were collated. The impact of the training and technologies for students and the Wadawurrung community was gauged through participation levels and evaluations. The approach to indigenous spatial mapping projects is informed by postcolonial theories interrogating neo-colonialist cartographic practices. Findings – Indigenous communities need to be resourced in the uptake of spatial mapping technologies and if universities are going to be involved in co-developing positive learning experiences that encourage the uptake of the technologies, they must have appropriate and respectful relationships with Aboriginal communities. Training programmes need to accommodate learners with diverse educational experiences and technological wherewithal. Research limitations/implications – Findings from the training evaluations are based on a small number of participants; however, they seem to be supported by literature. Practical implications – The education model developed is customisable for any Indigenous community in Australia. Social implications – The social and political importance of spatial mapping technologies for Indigenous Australians is evident as is the need for educational providers to have appropriate and respectful relationships with Aboriginal communities to co-develop positive learning experiences that encourage the uptake of the technologies. Originality/value – The Wadawurrung Dya Baap Ngobeeyt Cultural Heritage Mapping and Management Project developed practical strategies to build community capacity in Aboriginal Cultural Heritage Management and Protection. The educational programme developed supported learners to use technologies in cultural heritage management. Data were collected using community-developed fields for inclusion and culturally appropriate encryption of data.
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Tang, Yangcheng, and Jihong Tang. "Development of On-line Physical Education Teaching Mode Based on Computer Multimedia and Network System." MATEC Web of Conferences 365 (2022): 01006. http://dx.doi.org/10.1051/matecconf/202236501006.
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Online physical education is an important way to promote the high-quality development of physical education in the environment of wisdom education. By giving full play to the advantages of the application of computer multimedia and network system and integrating all kinds of high-quality physical education teaching resources, we can provide students with rich content and vivid process in physical education teaching classes, promote students to better integrate into physical education teaching activities, the real realization of physical education goals of teaching. This paper analyzes the advantages of online physical education based on computer multimedia and network system, and discusses the online physical education teaching mode according to the requirements of Physical Education Innovation.
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Chen, Bo. "Design of Piano Intelligent Teaching System Based on Neural Network Algorithm." Mobile Information Systems 2022 (August 17, 2022): 1–10. http://dx.doi.org/10.1155/2022/5991124.
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In recent years, with the improvement of economic level, music art has become a major focus of extracurricular teaching. Students of all ages are included. However, the high cost of piano teaching and the unique one-to-one teaching method of teachers and students lead to the lack of piano education resources. Learning piano has become a luxury activity. Therefore, using computer multimedia software to teach piano has become a feasible way to alleviate the current contradiction. For piano teaching, the main difficulties are the differences between teachers and students (i.e., the data change at both ends due to the network), the instability of the network system, and the neural network algorithm can solve these difficulties. Based on this point, this work aims to introduce neural network algorithm into piano teaching intelligent system. This paper first introduces the theoretical basis of the neural network algorithm, then expounds the algorithm flow and general framework of the algorithm in speech recognition, and explains the split explanation in combination with five aspects: preprocessing, character extraction, acoustic model, linguistic model, and decoding. Then, it introduces the system design of intelligent piano teaching and describes the general system requirements and product architecture. Finally, the intelligent piano teaching system is tested and applied to prove the effectiveness of the system. I hope this intelligent piano teaching system can provide more convenience for piano teaching.
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Liu, Weiming. "Constructing a Music Network Teaching System by Using Neural Network Model with Wireless Audio Transmission." Wireless Communications and Mobile Computing 2022 (June 18, 2022): 1–11. http://dx.doi.org/10.1155/2022/2805117.
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The purpose is to solve the problems that the traditional teaching methods limit the openness and extension of the music classroom, the interaction between teachers and students, the environment of students’ autonomous learning, and the music teaching situation. Wireless local area networks, Bluetooth, and intelligent transmission channels based on specific frequency can replace wired audio transmission and are widely used in the digital music classroom. Moodle system is used to build a music teaching network system based on the analysis of previous studies and the existing music teaching network platform. The system combines with Convolutional Neural Network (CNN) structure based on cloud computing to effectively identify and create music scores. The system effectiveness is further proved by analyzing the learning effect of the students and teaching effect of teachers in the conservatory of music. The results show that the system makes the experience of teachers and students in the teaching system different from before, and students can freely choose the time and place of class. In addition, the teaching method is flexible, and the teaching methods and resources are real-time. Therefore, in the music teaching network course, it overcomes some shortcomings of the traditional teaching mode. The music class is open and flexible. Teachers and students can have more interactive behavior and realize the students’ self-study and music teaching environment. This exploration can provide a theoretical basis and practical experience for music-related teaching.
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Liu, Fen, and Laiying Deng. "Design of a Multimodal Teaching Method for Business English in a Wireless Network Environment." Scientific Programming 2022 (July 20, 2022): 1–10. http://dx.doi.org/10.1155/2022/5882921.
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In the background of the information age of “Internet+,” the traditional teaching mode of business English has many drawbacks in terms of curriculum, teaching content, teaching methods, and teachers’ backgrounds and cannot adapt to the needs of the times. Therefore, business English teaching should actively follow the trend of “Internet + education” and continue to innovate in a multimodal way. The multimodal teaching mode of “wireless network + business English” is in line with the background of “Internet+,” optimizing teaching resources to the maximum extent and truly realizing the effective combination of Internet and business English teaching. The Internet-based multimodal innovation can be carried out in the four elements of business English teaching: environment, task, learner, and guide teaching. The specialization and modernization of business English teaching can be promoted through the optimization of O2O multisituational classroom, the application of multimodal tasks in three-dimensional teaching materials, the communication of diversified categories of students, and the configuration of multilevel teachers across fields.