| 摘要: |
| 学科评价是高等教育评价的重要内容，是高校学科建设的重要组成部分。在智能化时代，利用人工智能、大数据技术对学科数据进行深度挖掘和科学分析，可以将学科评价从基于小样本或不完整信息的评价转化为基于整体信息的多元化科学化评价。本文通过应用聚类、神经网络分析、关联规则分析等数据挖掘方法对学科数据进行建模分析的思考，对智能化时代高校学科评 价进行探索。 |
| 关键词: 智能化 数据挖掘 人工智能 大数据 学科评价 |
| DOI： |
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| 基金项目: |
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| Exploration on Discipline Evaluation Tools in theEra of Intelligence |
| Xia Yan |
| (Education Evaluation Research Department, Shanghai Education Evaluation Institute, Shanghai 200031) |
| Abstract: |
| Discipline evaluation plays an important role in higher education evaluation. It is a significant part in discipline construction in universities. In the era of intelligence, by using artificial intelligence and big data technology to conduct deep mining and scientific analysis of discipline data, we can transform discipline evaluation from the mono-evaluation based on incomplete information to the diversified scientific evaluation based on the overall information. Through the data mining technologies, such as clustering, neural network, association rule analysis, et al., we can explore the discipline evaluation in the era of intelligence. |
| Key words: Intelligence Data mining Artificial intelligence Big data Discipline evaluation |
