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The Influence of Computer Aided System Teaching on Vocabulary Learning

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Application of Big Data, Blockchain, and Internet of Things for Education Informatization (BigIoT-EDU 2022)

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Abstract

Computer assisted instruction (CAI) has been widely used in the practice of vocabulary learning in classroom teaching. The methods of vocabulary learning in teaching and the modes of vocabulary learning in teaching have diversified Aiming at the main links of vocabulary learning in college classroom teaching, this paper puts forward the design idea of a practical computer-aided system TCAS for vocabulary learning in college teaching, and uses vfp9 0 to reduce teachers’ repeated work and improve the quality of vocabulary learning in teaching. The database design adopts the classic case tool set Sybase PowerDesigner, and gives the main data table structure The experimental results show that when TCAS is used in the actual teaching of operating system and other courses, only a small amount of key information needs to be input or imported into each teaching link of vocabulary learning; At the same time, TCAS has a convenient user interface. In terms of the relationship between vocabulary richness and writing quality, vocabulary variability, vocabulary complexity and vocabulary density are significantly positively correlated with writing quality, and vocabulary errors are significantly negatively correlated with writing quality. TCAS can better meet the needs of College Teaching for vocabulary learning.

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Acknowledgements

Financially supported by Scientific Research Project of Heilongjiang East University: An Empirical Study on the Relationship Between Input Patterns and Output Ability of English Vocabulary (Project No. HDFKY200207).

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Correspondence to Jing Liu .

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© 2023 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Liu, J. (2023). The Influence of Computer Aided System Teaching on Vocabulary Learning. In: Jan, M.A., Khan, F. (eds) Application of Big Data, Blockchain, and Internet of Things for Education Informatization. BigIoT-EDU 2022. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 467. Springer, Cham. https://doi.org/10.1007/978-3-031-23944-1_34

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  • DOI: https://doi.org/10.1007/978-3-031-23944-1_34

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-23943-4

  • Online ISBN: 978-3-031-23944-1

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