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Precision Education Reviews: A Case Study on Predicting Student’s Performance using Feed Forward Neural Network

机译:精确教育评价:采用饲料前向神经网络预测学生绩效的案例研究

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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.
机译:精密教育采用了精密药的原则。 它适用于预测的算法,机器学习和数据操纵技术,并最终将被提及设计个性化教育干预计划。 本研究审查了精密教育研究中的各种主题和应用,随后通过应用其在马来西亚大学苏丹阿兹兰沙河(Malaysia Universits)进行了深入学习的技术中设计了预测模型。 这项研究是预测学生在乌拉内德学士学位和锡拉丽亚学生学士学位的英语课程中的表现。 文件夹分类测试建议的深度学习模型,当运行3个测试数据集时,精度为93%。

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