基于学生学习行为序列的成绩预测模型构建研究

Research on the Construction of the Performance Prediction Model Based on the Student Learning Behavior Sequence

叶伊 ¹许新华 ¹叶晓晓 ²汪琛玉 ¹鲁月³

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作者信息

1. 湖北师范大学计算机与信息工程学院湖北黄石,435002
2. 湖北工业大学工程技术学院湖北武汉,430068
3. 江汉大学湖北武汉,430056
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摘要

基于学习投入理论,依据学习者在线学习过程中产生的行为数据,采用滞后序列分析法与GSEQ工具进行行为序列分析,利用PSO-BP算法在Matlab编程软件中构建基于学习行为序列的成绩预测模型.实验结果表明,训练集与预测集的准确率均大约为80％,基于学习行为序列的成绩预测模型具有一定实用意义.

Abstract

Based on the learning behavior input theory and learning behavior data generated by learners'online learning,this paper used the lag sequence analysis method and GSEQ tool,constructed the performance prediction model based on the Matlab programming software.The experimental results showed that the accuracy of both training set and prediction set were about 80％,and the performance prediction model based on learning behavior sequence had some practical significance.

关键词

学习行为序列/滞后序列分析/成绩预测模型/PSO-BP/学习行为投入

Key words

Learning Behavior Sequence/Lag Sequence Analysis/Performance Prediction Model/PSO-BP/Learning Behavior Engagement

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出版年

2024

考试研究

天津市教育招生考试院,天津人民出版社

考试研究

CHSSCD

ISSN：1673-1654

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