精确教育评论:前馈神经网络预测学生表现的案例研究

Mohammad Mubarrak Mohd Yusof, Ilyani Abd Khalid
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引用次数: 3

摘要

精准教育采用精准医学的原则。运用算法、机器学习和数据处理技术进行预测,最终参考设计个性化教育干预方案。本研究回顾了精确教育研究中的各种主题和应用,随后通过在马来西亚苏丹阿兹兰沙大学进行的实地研究中应用其技术之一深度学习设计了一个预测模型。这项研究是为了预测学生在乌苏鲁丁学士和伊斯兰学士的英语课程中的表现。对所提出的深度学习模型进行文件夹分类测试,在3个测试数据集上运行时,准确率达到93%。
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Precision Education Reviews: A Case Study on Predicting Student’s Performance using Feed Forward Neural Network
Precision education adopted the principles of precision medicine. It applies algorithm, machine learning and data manipulation technique for prediction and ultimately will be referred to design individualized education intervention program. This study has reviewed various themes and applications in precision education research and subsequently design a prediction model by applying one of its technique which is deep learning in a field study conducted at Universiti Sultan Azlan Shah, Malaysia. The study is to predict student’s performance in an English course taken by Bachelor of Usuluddin and Bachelor of Syariah students. Folder classification testing of the proposed deep learning model, when it was run against 3 testing dataset, it gives 93% accuracy.
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