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Statistical Approach To Optimizing Kirkpatricks Model For English Performance Evaluation In Higher Vocational Education |
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PP: 961-973 |
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doi:10.18576/jsap/130310
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Author(s) |
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Xiaoya Zhou,
Fwu-Yuan Weng,
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Abstract |
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With the increasing process of economic globalization and the integration of the world economy, society has put forward new requirements for English. Learning English well is very important and necessary for the development of future graduates of higher vocational colleges and universities themselves and even for the development of the country. In this paper, we will build an optimized English performance evaluation model, which is based on a statistical approach, for higher vocational education from the Kirkpatrick model and evaluate its effect. The main use of the questionnaire survey method and data analysis tools (e.g., Excel, SPSS, and RStudio) to analyze the data, and according to the results of the analysis of the learners to give the next stage of learning advice, to help them quickly find their own shortcomings, to improve the learning performance and sense of acquisition.
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