Abstract
With the advent of the information and artificial intelligence era, prediction methods have made significant advancements. This paper proposes a method for predicting final exam scores based on formative performance using machine learning techniques. The study collects three years of grades of College English for non-English majors, constructs dataset, and utilizes a fully connected neural network to predict final exam scores. The average error achieved is 0.73 points, demonstrating promising results.
This work is supported by Basic Research Projects of Liaoning Province Department of Education in 2022 (LJKQZ20222441)
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Zhang, H., Ge, C., Li, Y., Yang, A., Zheng, L. (2024). Prediction of College English Final Exam Scores Based on Formative Performance Using Machine Learning Methods. In: Wang, W., Mu, J., Liu, X., Na, Z.N. (eds) Artificial Intelligence in China. AIC 2023. Lecture Notes in Electrical Engineering, vol 1043. Springer, Singapore. https://doi.org/10.1007/978-981-99-7545-7_37
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DOI: https://doi.org/10.1007/978-981-99-7545-7_37
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