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Online course learning outcome evaluation method based on big data analysis

机译:基于大数据分析的在线课程学习成果评价方法

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摘要

In order to solve the low credibility and poor timeliness of the online course learning effect evaluation, a method based on big data for online course learning results evaluation is proposed, which can better solve the problems existing in traditional methods. A statistical average analysis model for big data of online course learning outcomes is constructed for learning outcome big data analysis based on the sample regression analysis method; a decision objective function of online course learning outcome evaluation is established. The experimental results show that when the method proposed in this paper is adopted to evaluate online course learning outcomes, the method has relatively high confidence and overall timeliness, and the time taken to evaluate the effectiveness of online courses is 28 s and 29 s less than that of the other two methods, so it can provide accurate and reliable evaluation results.
机译:为了解决在线课程学习效果评价的可信度低,及时性差的问题,提出了一种基于大数据的在线课程学习效果评价方法,可以较好地解决传统方法存在的问题。基于样本回归分析方法,建立了在线课程学习成果大数据统计平均分析模型,用于学习成果大数据分析。建立了在线课程学习成果评价的决策目标函数。实验结果表明,采用本文提出的方法对网络课程学习成果进行评估时,该方法具有较高的置信度和整体时效性,评估网络课程有效性的时间比传统方法少28 s和29 s。这是其他两种方法的结果,因此可以提供准确可靠的评估结果。

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