基于SVR的程序设计能力预测研究与实践

2021 International Symposium on Computer Technology and Information Science (ISCTIS) Pub Date : 2021-06-01 DOI:10.1109/ISCTIS51085.2021.00051

Fuken Zhou, Li Bin

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引用次数: 0

摘要

学生学业状况的预警在整个教学实践中起着重要的作用。现在，大多数学生都是通过编程平台来练习问题，从而提高自己的编程水平。平台上的各种提交记录可以通过二次处理获得多种特征数据;使用SVR算法分析考试成绩的数据特征，找出成绩与教学环节的相关性，为教师提供教学指导，提前提醒学生提高学习质量。

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Research and Practice of Program Design Ability Prediction Based on SVR

Early warning of students' academic conditions play an important role in the entire teaching practice. Nowadays, most students learn programming through the programming platform to practice problems, and then improve their programming level. Various submission records on the platform can obtain a variety of characteristic data through secondary processing; SVR algorithm is used to analyze the data characteristics of test scores, find out the correlation between scores and teaching links, provide teaching guidance for teachers, and remind students to improve the quality of learning in advance.

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2021 International Symposium on Computer Technology and Information Science (ISCTIS)

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