College English Flipped Classroom Teaching Model Based on Big Data and Deep Neural Networks

Chang, Heli

doi:10.1155/2021/9918433

Cited by 31 publications

(27 citation statements)

References 24 publications

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“…e big data attribute selection method in distributed network fault diagnosis database was proposed by Chang et al through the support vector machine; the distributed network fault diagnosis database is deeply mined, the fault attribute weight is calculated, and the network fault is completed. e attribute classification of the diagnostic database improves the efficiency of network fault diagnosis [13].…”

Section: Literature Reviewmentioning

confidence: 99%

Computer Communication Network Fault Detection Based on Improved Neural Network Algorithm

2022

Mobile Information Systems

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In order to meet the new requirements of fault diagnosis response and intelligent degree in the current computer network, a fault detection of computer communication network based on an improved neural network algorithm is proposed. First, from the perspective of deep learning, based on the KDD99 data set, the network fault diagnosis method based on the convolutional neural network model is studied, and the data conversion operation of grayscale matrixed raw data is proposed. And experiments are carried out, the convolutional neural network structure is designed according to the scale of data features, a series of optimization studies including discarding learning, gradient optimization algorithm, and data enhancement based on this is carried out, and the establishment of the entire fault diagnosis model is completed. The experimental results show that, in the diagnostic model designed in this paper, the Tanh activation function is used in the first fully connected layer to achieve the best convergence speed. During the training process, it can start to converge after about 24 iterations, and the accuracy rate of the model training process can reach 98.1%, verifying the correctness and superiority of the algorithm and model.

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Section: Literature Reviewmentioning

confidence: 99%

Computer Communication Network Fault Detection Based on Improved Neural Network Algorithm

2022

Mobile Information Systems

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“…In order to realize and understand the construction and mathematical design of the effectiveness evaluation model for college teaching activities, the first approach is based on the Web Service platform. Furthermore, in order to realize the effectiveness evaluation of college teaching activities, the second approach is based on the optimized Apriori algorithm [6]. Firstly, an effectiveness characteristic analysis model of college teaching activities is built, and a distributed information perception model of college teaching activities is built by combining the analysis of index parameters of college teaching activities, and the characteristic sequence analysis of the time series of quality constraint parameters of college teaching activities is comprehended by conjoining the fuzzy correlation analysis approach [6,7].…”

Section: Statistical Analysis Of Living Quality Indicators In Collegementioning

confidence: 99%

“…Furthermore, in order to realize the effectiveness evaluation of college teaching activities, the second approach is based on the optimized Apriori algorithm [6]. Firstly, an effectiveness characteristic analysis model of college teaching activities is built, and a distributed information perception model of college teaching activities is built by combining the analysis of index parameters of college teaching activities, and the characteristic sequence analysis of the time series of quality constraint parameters of college teaching activities is comprehended by conjoining the fuzzy correlation analysis approach [6,7]. e overall realization structure of effectiveness evaluation of college teaching accomplishments is given away in Figure 1.…”

Section: Statistical Analysis Of Living Quality Indicators In Collegementioning

confidence: 99%

Construction of the Mathematical Model for Teaching Classroom Evaluation in Colleges and Universities Using an Optimized Apriori Algorithm

Liu

2022

Mobile Information Systems

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In order to increase the effectiveness and teaching quality of numerous classroom activities in colleges and universities, this paper puts forward the effectiveness assessment technique of teaching activities in colleges, universities, and institutions of higher education based on the optimized Apriori algorithm. A mathematical model for assessing the efficacy and usefulness of classroom activities in colleges and universities is constructed. Teaching contents, teaching attitudes, teaching methods, teaching effects, test results, and students’ performance are introduced as comprehensive evaluation factors, and a decision-making model for assessing the success and efficiency of classroom activities in colleges and universities is established by adopting scientific, reasonable, and systematic teaching methods. Through the grey correlation analysis of classroom teaching quality, the delay characteristic analysis and the adaptive parameter adjustment method are adopted. This paper constructs the optimal Apriori algorithm model of college teaching classroom activities, constructs the optimal evaluation function model of college teaching classroom activities effectiveness evaluation by the method of support-confidence joint estimation, extracts the optimal quality parameter set of college teaching classroom activities by the optimization detection method and association rule mining, and realizes the effectiveness evaluation and multi-dimensional parameter estimation of college teaching classroom activities by the optimized Apriori algorithm. The test outcomes confirm that this technique is reliable in evaluating the effectiveness of classroom activities in colleges and universities, and the directional distribution of association rules of classroom quality in colleges and universities is significant, which meaningfully advances the classroom teaching levels and quantitative evaluation abilities.

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“…Students believed that there were positive changes in classroom environment perception, flipping preference, responsibility perception, learning motivation, and so on (23). In college English courses, flipped classroom teaching mode can achieve a high resource sharing rate and good teaching effect (24)(25)(26). In social sciences courses, active learning made the classroom more attractive, put learning into practice, and made materials more unforgettable (27).…”

Section: Introductionmentioning

confidence: 99%

Hot topics and frontier evolution in college flipped classrooms based on mapping knowledge domains

Sun

Wang

et al. 2022

Front. Public Health

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With the outbreak of COVID-19 and the development of online teaching, the online flipping teaching mode has attracted increasing attention. Systematic analysis of the research status and development trend of the flipped classrooms is significant for guiding the improvement of the quality of online flipped teaching. This study used the metrology software CiteSpace to draw a scientific knowledge map of relevant research in the web of science database from 2013 to 2021. It performed visual analysis of research authors, research institutions and countries, keyword clustering, keywords co-occurrence, and keyword time zone distribution. The results showed that: (1) The flipped classrooms research has attracted increasing attention from the social and educational circles, however, the relationship between relevant research authors, institutions, and countries is not close enough, and there is little cooperation. We need to strengthen cooperation further and realize the sharing of high-quality resources; (2) Based on keyword co-occurrence cluster analysis, this study identified three hot topics, namely, preparation before class, classroom activities and consolidation after class; (3) According to the keyword time zone map, this study divided three frontier evolution trends: exploration period, adaptation period, and growth period; (4) Finally, with the spread of novel coronavirus, it is suggested to promote the online flipped classroom teaching mode, and put forward reasonable suggestions from the perspective of teachers, students and researchers, and look forward to the future digital development direction of the flipped classroom.

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College English Flipped Classroom Teaching Model Based on Big Data and Deep Neural Networks

Cited by 31 publications

References 24 publications

Computer Communication Network Fault Detection Based on Improved Neural Network Algorithm

Computer Communication Network Fault Detection Based on Improved Neural Network Algorithm

Construction of the Mathematical Model for Teaching Classroom Evaluation in Colleges and Universities Using an Optimized Apriori Algorithm

Hot topics and frontier evolution in college flipped classrooms based on mapping knowledge domains

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