Construction of Double-Precision Wisdom Teaching Framework Based on Blockchain Technology in Cloud Platform

Han

Journal of Environmental and Public Health

2022

In the processing of rhythmic gymnastics resources, there are inefficiency problems such as confusion of teaching resources and lack of individuation. To improve the health access to teaching resource data, such as videos and documents, this study proposes a cloud computing-based personalized rhythmic gymnastics teaching resource classification algorithm for health promotion. First, personalized rhythmic gymnastics teaching resource database is designed based on cloud computing technology, and the teaching resources in the database are preprocessed to obtain a meta-sample set. Then, the characteristics of teaching resources are selected by the information acquisition method, and a vector space model is established to calculate the similarity of teaching resources. Finally, the distance-weighted k-NN method is used to classify the teaching resources for health promotion. The experimental results show that the classification accuracy of the proposed algorithm is high, the recall rate is high, and the F-measure value is high, which verifies the effectiveness of the algorithm.

Section: Introductionmentioning

confidence: 99%

[Retracted] Sport Resource Classification Algorithm for Health Promotion Based on Cloud Computing: Rhythmic Gymnastics’ Example

Han

Journal of Environmental and Public Health

2022

Mobile Information Systems

“…Liu et al proposed a CF recommendation method based on user influence relationship for a personalized recommendation of learning resources. is method is not limited by the organizational heterogeneity and diversity of learning resources [9]. Yu and Li analyzed the working principle of the clustering algorithm and genetic algorithm, understood the advantages and disadvantages of the algorithm, and introduced the genetic K-means algorithm.…”

Section: Related Workmentioning

confidence: 99%

College English Precise Teaching Model Using Combination Optimization Collaborative Filtering Algorithm

Yang

2022

With the rapid development of the Internet and various learning platforms, the explosive growth of resources in the field of education has made the recommendation of learning resources increasingly important, and it has gradually become the research focus of academic circles. This article develops an English precision teaching platform based on the CF algorithm of combinatorial optimization to accurately recommend English learning materials that meet the learners’ personal preferences and achieve precision teaching. This optimization algorithm takes full advantage of the background information of users, calculates the similarity between users, and forms the best neighbor set, and then recommends the learning resources evaluated by neighbors with similar interests to the target users, addressing the problem of data sparseness and cold start, which leads to a decline in recommendation accuracy. On different data sets, experimental results show that this method’s recommendation accuracy is 94.6%, which is higher than the CF algorithm of multifeature fusion by 4.5% and the traditional CF algorithm by 9.7%. The findings show that when applied to English instructional resources, this method is accurate and practical and that it can effectively recommend resources that are appropriate for users to achieve accurate CET.

Mobile Information Systems

“…Literature [20] refers to the composition of service-oriented enterprise framework, improves the three-tier framework by using business process management technology, and designs a five-tier framework based on SOA. Literature [21] has completed the functional structure and service architecture design of educational resource management system based on SOA. Literature [22] analyzes the current situation of the construction of teaching resource database at home and abroad and deeply studies LOM standard, CELTS standard, SOA architecture, and Web services.…”

Section: Related Workmentioning

confidence: 99%

An Optimization Model of English Teaching Resources Based on Distributed SOA

Du¹,

Wang²,

et al. 2022

As a result of the growth and development of digital education, many educational resources have appeared on the Internet. On the other hand, these educational resources are scattered, unorganised, duplicated, isolated, and closed. Based on a detailed study of the characteristics and design ideas of SOA software system architecture, this paper develops an integrated and optimized system of English teaching resources based on SOA. SOA is a new service model for sharing and integrating educational resources from disparate sources that is characterized by loose coupling, platform independence, interoperability, and openness. This paper explains the system’s overall structural framework and design flow. It also explains how each layer structure’s function is realized through technology and process. Different service interfaces are used to realize various system functions, and an abstract service interface is left for future system expansion, allowing the system to be reused as much as possible. The system proposed in this paper is an open sharing platform for educational resources that has unified standards and rich content, greatly improving the situation of previously isolated educational information resources.