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Research on Chinese University Students Learning Evaluation Based on Big Data

机译:基于大数据的中国大学生学习评估研究

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There were a series of problems in the Chinese university students' learning evaluation, which were not conducive to the development of students and the cultivation of talents. In based-on Internet course education process, such as MOOCS (massive open online courses), micro class, flipped classroom and so on, a large amount of data has been produced. Big data technologies provided a new evaluation method, technique and means for learning evaluation. Through literature analysis, studied the connotation of education big data evaluation, the relations between big data characteristics and learning evaluation principle, and learning evaluation challenges, trends and countermeasures and other issues in the big data era. Provided a reference path for the university students' learning evaluation reform, the cultivation of the individualized and innovative talents.
机译:中国大学生学习评价有一系列问题,不利于学生的发展和人才的培养。在基于Internet课程教育过程中,如Moocs(大规模开放的在线课程),微类,翻转教室等,已经生产了大量数据。大数据技术提供了一种新的评估方法,技术和方法来学习评估。通过文学分析,研究了教育大数据评估的内涵,大数据特征与学习评估原理的关系,以及学习评估挑战,趋势和对策等大数据时代。为大学生学习评估改革提供了参考路径,培养了个性化和创新人才。

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