大数据环境下过程性教学评价产品开发的可行性分析

Feasibility Analysis of Product Development of Process Teaching Evaluation in Big Data Environment

当今社会发展迅速,技术发达,生活方便,大数据已成为当今信息时代盛行的产物。大数据的运行分为采集、存储、处理、实践、形成结果这样几个过程。我们大多数人对大数据的利用仍然停留在数据的采集存储和简单的使用上,要想利用大数据进行数据的深度融合和处理,实践过程中评价产品的出品尤为重要,尤其在教学方面,对学生的发展更需要过程性的评价产品做支撑,以此来对学生的学习进行更全面的评价。

Nowadays,with the rapid development of society,advanced technology and convenient life,big data has become a popular product in the information age. The operation of large data can be divided into several processes,such as collection,storage,processing,practice and result formation. Most of us still use big data for data collection,storage and simple use. In order to use big data for deep data fusion and processing,it is particularly important to evaluate the products produced in practice. Especially in teaching,the development of students needs process evaluation products to support. In order to make a more comprehensive evaluation of students’ learning.