An Optimized Decision Method for Smart Teaching Effect Based on Cloud Computing and Deep Learning

Abstract

In order to improve the effect of intelligent teaching and give full play to the role of intelligent technology in modern physical education, in this paper, cloud computing and deep learning methods are used to comprehensively evaluate the teaching effect of colleges and universities, and calculate the evaluation effect and accuracy. Cloud computing and deep learning algorithm combine the teaching evaluation scale, teaching content, and characteristics to formulate teaching plans for different students and realize targeted teaching evaluation. The results show that the teaching evaluation method proposed in this paper can improve students’ learning interest by about 30%, enhance learning initiative by about 20%, and the matching rate between the actual teaching effect and the expected requirements is 98%. Therefore, cloud computing and deep learning model can improve the accuracy of teaching effect evaluation in colleges and universities, provide support for the formulation of teaching evaluation schemes, and promote the development of intelligent teaching in colleges and universities.

Multitask Multi attention Residual Shrinkage Convolutional Neural Network Personalized Assessment Model of Tennis Teaching Based on Data Mining and Intelligent Recommendation

“…The ZOA algorithm principle can be divided into five major stages, which are includes in given steps. (15) where, m denotes zebra population, n and j signifies number of population.…”

“…The assessment technique is utilized to test planned volleyball player health assessment method, outcomes display that method is dependable. But investigational data is too little, not sufficiently considerable [15]. Yulin utilized bibliographic data techniques, mathematical statistical approaches, DT prediction methods to conduct statistical exploration data of 198 unemployed women from four areas [16].…”

Retracted: An Optimized Decision Method for Smart Teaching Effect Based on Cloud Computing and Deep Learning

“…This article has been retracted by Hindawi following an investigation undertaken by the publisher [ 1 ]. This investigation has uncovered evidence of one or more of the following indicators of systematic manipulation of the publication process: Discrepancies in scope Discrepancies in the description of the research reported Discrepancies between the availability of data and the research described Inappropriate citations Incoherent, meaningless and/or irrelevant content included in the article Peer-review manipulation …”

“…Tis article has been retracted by Hindawi following an investigation undertaken by the publisher [1]. Tis investigation has uncovered evidence of one or more of the following indicators of systematic manipulation of the publication process:…”