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篇名 |
基于教育数据挖掘的在线学习者学业成绩预测建模研究
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並列篇名 | Research on Prediction Model of Online Learners' Academic Achievement Based on Educational Data Mining |
作者 | 陳子健、朱曉亮 |
英文摘要 | The purpose of this study is to explore the factors that influence online learners’ academic achievement and to build prediction model of online learners’ academic achievement by means of data mining and machine learning. The study determines the influence factors of academic achievement by calculating the correlation coefficients between data attributes and academic achievement categories and calculating the information gain rate for all data attributes. We propose building integrated prediction model for academic achievement classification. The performance of the single classification models and the integrated classification models constructed by several algorithms are compared. Finally, we use a nested ensemble learning method to construct online learners’ academic achievement classification prediction model, and evaluate the model performance. The research results can provide a reference for the study of exploring the factors that influence online learners’ academic achievement and modeling online learners’ academic achievement, The research contributes to the practice of e-learning academic warning, also to the practice of academic achievement prediction and evaluation. |
起訖頁 | 075-081 |
關鍵詞 | 教育数据挖掘、机器学习、预测建模、学业成绩、在线学习、Educational Data Mining、Machine Learning、Predictive Modeling、Academic Achievement、e-Learning |
刊名 | 中國電化教育 |
期數 | 201712 (371期) |
出版單位 | 中國電化教育雜誌社 |
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