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Construction of Multiple Linear Regression Prediction Model of PRETCO-A Scores and Its Positive Backwash Effect on Teaching

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Data Science (ICPCSEE 2021)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1452))

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Abstract

PRETCO-A is a standardized English proficiency test set up to evaluate the English application ability of the students in higher vocational college. In order to improve the passing rate, a multiple linear regression prediction model is constructed in this paper. A significance test was first performed on the regression model and the regression coefficient to verify a high correlation among the variables. The confirmed model was then put into application to predict the students’ scores and identify the students who may fail the exam, leading to targeted tutoring assistance given to those students in advance. Finally, 60 students with predicted scores lower than 60 points were selected as research samples, and randomly divided into the control group and the experimental group, 30 students in each group. Finally, the experimental group students were given 40 teaching hours of precision assistance and targeted training, while the control group did not engage in any teaching intervention. The experimental results indicate that the pass rate of experimental group is 20% higher than the control group, which means the backwash effect of the test prediction is positive. The prediction model is proved to be scientific and reliable for teaching.

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Acknowledgments

I would like to extend my sincere gratitude to all those who have offered cordial support in writing this paper.

First and foremost, I am extremely grateful to my colleague Li Yuanhui, who has contributed significantly to improving the methods of construction of the prediction model. Thanks to his expertise, patience and encouragement, I finally finish this paper.

Secondly, I am much obliged to my friend, Wu Han, who has assisted me with the revising work.

My thanks also go to my colleagues Li Chao, Liu Xia, Zhan Man and Xian Dan who has helped me a lot during the research process. It’s their generous help and great support make this paper possible.

Last but not least, I’d like to express my heartfelt appreciation to my family members, especially my mother and my husband who has motivated, encouraged, and supported me a lot, which makes me concentrate on the writing of this paper.

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Han, H., Li, Y. (2021). Construction of Multiple Linear Regression Prediction Model of PRETCO-A Scores and Its Positive Backwash Effect on Teaching. In: Zeng, J., Qin, P., Jing, W., Song, X., Lu, Z. (eds) Data Science. ICPCSEE 2021. Communications in Computer and Information Science, vol 1452. Springer, Singapore. https://doi.org/10.1007/978-981-16-5943-0_40

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  • DOI: https://doi.org/10.1007/978-981-16-5943-0_40

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  • Print ISBN: 978-981-16-5942-3

  • Online ISBN: 978-981-16-5943-0

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