Research on Voluntary Intelligent Reporting System of College Entrance Examination Based on Big Data Technology

Guo, Shuxin; Li, Lin

doi:10.1007/978-3-030-67871-5_10

Cited by 2 publications

(3 citation statements)

References 13 publications

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“…e consistency and asymptotic normality of the estimates can be obtained by using the proof steps similar to those in [15]. erefore, this paper only considered the estimation algorithm.…”

Section: Linear Mixed-effects Model and Its Estimation Methodmentioning

confidence: 99%

“…Second, the variance component is estimated. We use the principle of [15] to estimate the variance component σ 2 , .…”

Section: Linear Mixed-effects Model and Its Estimation Methodmentioning

confidence: 99%

“…According to the estimation procedure in [15], further considering the influence of the estimated value of the coefficient β 0 , the estimation of the variance can be constructed similarly:…”

Section: Linear Mixed-effects Model and Its Estimation Methodmentioning

confidence: 99%

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A Novel Massive Big Data Analysis of Educational Examination Research Using a Linear Mixed‐Effects Model

Zhao

Wang

2021

Complexity

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To further solve the problems of storage bottlenecks and excessive calculation time when calculating estimators under two different formats of massive longitudinal data, an examination data analysis and evaluation method based on an improved linear mixed-effects model is proposed in this paper. First, a three-step estimation method is proposed to improve the parameters of the linear-effects model, avoiding the complicated iterative steps of maximum likelihood estimation. Second, we perform spectral clustering based on test data on the basis of defining data attributes and basic evaluation rules. Finally, based on cloud technology, a cross-regional, multiuser educational examination big data analysis and evaluation service platform is developed for evaluating the proposed method. Experimental results have shown that the proposed model can not only effectively improve the efficiency of test data acquisition and storage but also reduce the computational burden and the memory usage, solve the problem of insufficient memory, and increase the calculation speed.

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“…e consistency and asymptotic normality of the estimates can be obtained by using the proof steps similar to those in [15]. erefore, this paper only considered the estimation algorithm.…”

Section: Linear Mixed-effects Model and Its Estimation Methodmentioning

confidence: 99%

“…Second, the variance component is estimated. We use the principle of [15] to estimate the variance component σ 2 , .…”

Section: Linear Mixed-effects Model and Its Estimation Methodmentioning

confidence: 99%

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A Novel Massive Big Data Analysis of Educational Examination Research Using a Linear Mixed‐Effects Model

Zhao

Wang

2021

Complexity

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Research on Intelligent Evaluation of College Students’ Mental Health Based on Decision Tree Algorithm

Qi¹,

Cai²

2023

Application of Big Data, Blockchain, and Internet of Things for Education Informatization

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Research on Voluntary Intelligent Reporting System of College Entrance Examination Based on Big Data Technology

Cited by 2 publications

References 13 publications

A Novel Massive Big Data Analysis of Educational Examination Research Using a Linear Mixed‐Effects Model

A Novel Massive Big Data Analysis of Educational Examination Research Using a Linear Mixed‐Effects Model

Research on Intelligent Evaluation of College Students’ Mental Health Based on Decision Tree Algorithm

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