Abstract
Business English practical teaching evaluation based on decision tree is a tool to help teachers evaluate their teaching effect. This helps them identify and prioritize areas for improvement. Decision trees are used by many companies, educational institutions and governments as evaluation tools to improve the quality of education provided. The tool can be applied to any type of business environment that requires English skills, such as retail, banking or tourism. It can be applied to any type of educational institutions, such as schools and universities. The main purpose is to understand whether the students have mastered all the necessary skills for effective English communication during their college years. Since its first introduction in 2003, this method has been adopted by many institutions. The evaluation process includes three stages: pre-test, post test and analysis. In these three stages, students are required to complete the task of testing their specific knowledge. Based on the advantages of decision tree in data processing, this paper makes an effective evaluation of the problems existing in the current business English practice teaching in Colleges and universities, and improves the practice teaching strategies according to the evaluation results, so as to cultivate more qualified English talents for the society.
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© 2023 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Lai, X. (2023). Evaluation of Business English Practical Teaching Based on Decision Tree. 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 466. Springer, Cham. https://doi.org/10.1007/978-3-031-23947-2_59
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DOI: https://doi.org/10.1007/978-3-031-23947-2_59
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