大数据背景下课程评价方法探析

On Curriculum Evaluation Methods under the Background of Big Data

大数据与课程评价方式进行结合可以有效地提高课程评价的真实性和有效性,更好地实现教育目标。在传统课程评价中,仍存在着评价对象单一,评价过程交互性不强,评价手段不足的情况。大数据在诊断性评价、形成性评价以及总结性评价三个阶段中能通过增加评价对象、增强交互方式、创新评价手段三个方面对课程评价进行改革。

The combination of big data and curriculum evaluation method can effectively improve the authenticity and effectiveness of curriculum evaluation, and better achieve the educational goal. In the traditional curriculum evaluation, there is still a single evaluation object, weak interactivity of the evaluation process, and insufficient method of evaluation. In the three stages of diagnostic evaluation, formative assessment and summative evaluation, big data can be reformed in three aspects： increasing the evaluation object, enhancing the interactive mode and innovating the evaluation method.