Teaching Design Optimization and Application Research of College Students’ Education Evaluation Data Analysis Based on Big Data

Liu, N.; Ruan, Yanchun

doi:10.1007/978-981-16-8052-6_72

Cited by 1 publication

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“…Use of Big Data Technology for Network Classroom Teaching Quality Management Big data technology collects and analyzes the data associated with the teaching process, including but not limited to learning behaviors of students, academic performance, teaching contents, teaching behaviors of teachers and so on [9][10][11][12][13][14]. The teaching effect can be deeply understood through data analysis, thus identifying teaching problems and providing data support for optimizing teaching design and improving teaching methods [15][16][17][18]. In addition, big data technology monitors the teaching quality in real time and enables teaching managers to adjust teaching strategies in time to improve the teaching effect.…”

Section: Introductionmentioning

confidence: 99%

Use of Big Data Technology for Network Classroom Teaching Quality Management

Xie

2023

Int. J. Emerg. Technol. Learn.

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Quality management of network classroom teaching has always been an urgent problem to be solved. Big data technology handles massive amounts of data and provides new quality management methods and means for network classroom teaching. However, data integration and fusion is a complex task and existing methods may not be able to deal with data fragmentation effectively, because data is often distributed across different systems and platforms in the network teaching environment. Therefore, this research aimed to study the quality management of network classroom teaching based on big data technology. This study provided a framework diagram of teaching quality evaluation criteria and factors affecting the teaching quality in the big data environment, explained complex relationships and effects among the factors, and described teaching quality prediction problems. The dimensionality reduction method of Least Absolute Shrinkage and Selection Operator (LASSO) was used for comprehensive status data integration of factors affecting teaching quality. An unequal-interval grey Riccati-Bernoulli model was constructed to study the internal relationships between various variable factors and network classroom teaching quality. Then the execution process of the prediction model, detailed modeling steps and teaching quality management steps were provided. The experimental results verified that the constructed model was effective.

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Section: Introductionmentioning

confidence: 99%

Use of Big Data Technology for Network Classroom Teaching Quality Management

Xie

2023

Int. J. Emerg. Technol. Learn.

View full text Add to dashboard Cite

show abstract

Teaching Design Optimization and Application Research of College Students’ Education Evaluation Data Analysis Based on Big Data

Cited by 1 publication

References 3 publications

Use of Big Data Technology for Network Classroom Teaching Quality Management

Use of Big Data Technology for Network Classroom Teaching Quality Management

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