Creativity: Mining of Innovative Thinking Using Educational Data

Ritambhara, S. Singh
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Abstract

Innovation i.e., the process of new ideas that are useful or effective in different types of domains. Innovation should be taught in schools, homes, and other extra places. Innovative will be increased or improved with the help of Education Data Mining (EDM), which will improve the quality of Information. By employing BERT- type, objectives are to train representation from sequence process data, then fine-tunes these representations on subsequent prediction tasks, by WEKA and machine learning algorithms. In addition, we investigated students’ performance in exams using machine learning and symmetry-based learning algorithms. This article highly predicts female students pass more than boys students.
创造力:利用教育数据挖掘创新思维
创新,即在不同类型的领域中有用或有效的新想法的过程。应该在学校、家庭和其他地方教授创新。在教育数据挖掘(EDM)的帮助下,创新将会增加或改善,这将提高信息的质量。通过使用BERT类型,目标是从序列过程数据中训练表征,然后通过WEKA和机器学习算法对后续预测任务中的这些表征进行微调。此外,我们使用机器学习和基于对称的学习算法调查了学生在考试中的表现。这篇文章高度预测女生的通过率高于男生。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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