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Convolution Neural Network Learning for Course Outcome Attainment Improvement

机译:卷积神经网络学习以提高课程成绩

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The capabilities of connectionist approaches such as Convolutional Neural Networks (CNNs) are used for data analysis. The trained system is used as a recommendation system. ADAMS (Accreditation Data Analysis and Management System) provides the training data in the form of assessment rubrics of course learning outcomes for University level programs. Once the system is trained with this data, it can improvise solutions for untrained cases and help in recommending remedies for weaknesses in the student attainment rates for educational quality.
机译:诸如卷积神经网络(CNN)等连接主义方法的功能可用于数据分析。训练有素的系统用作推荐系统。 ADAMS(认证数据分析和管理系统)以对大学水平课程的课程学习成果的评估指标的形式提供培训数据。一旦使用该数据对系统进行了培训,它就可以为未受过培训的案例提供即席解决方案,并有助于针对学生在教育质量方面的欠缺率提出建议。

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