大数据给高校课程教学发展带来了丰富的运用想象.然而,通过对网络课程使用

大数据给高校课程教学发展带来了丰富的运用想象.然而,通过对网络课程使用状况的调查,我们发现,大数据技术人才的缺失、大量虚假学习"数字脚印"的存在,都提示我们必须对现阶段网络课程的迷思保持应有的警惕.高校网络课程建设应鼓励原创,又不固执于原创;集中用力,协同创新;建立产品思维,增强用户意识;细分接入端口,实现分众解析,让真正公平的教育成为大数据背景下教学场景中的常态.

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结果 (英语) 1: [复制]

复制成功！

Big Data to the development of university teaching curriculum brings extensive use of imagination. However, the investigation of network usage course, we find that missing big data and technical personnel, there is a "digital footprint" of a large number of false learning, we must have prompted the myth of the stage online course to maintain proper vigilance network should encourage the construction of university courses originality, not stubborn in the original; centralized force, collaborative innovation; the establishment of product thinking, enhance user awareness; subdivided access ports for focus resolution, so that education becomes truly fair education scene at big data in the background norm.

正在翻译中..

结果 (英语) 2:[复制]

复制成功！

Big data has brought a wealth of application imagination to the development of curriculum teaching in colleges and universities. However, through the investigation of the use of online courses, we find that the lack of big data technology talent, a large number of false learning , "digital footprint" existence, All prompts we must be vigilant about the myths of the current online curriculum. The construction of online courses in colleges and universities should encourage originality and not be stubborn to originals; . ...

正在翻译中..

结果 (英语) 3:[复制]

复制成功！

Big data has brought rich application imagination to the development of college course teaching. However, through the investigation of the use of network courses, we find that the lack of big data technical talents and the existence of a large number of false learning "digital footprints" all prompt us to be vigilant against the myth of network courses at this stage. The construction of network courses in Colleges and universities should encourage the original, but not be stubborn in the original; focus on the original Efforts, collaborative innovation; building product thinking, enhancing user awareness; subdividing access ports, and achieving focus analysis, so that truly fair education becomes the normal in the teaching scene under the background of big data<br>

正在翻译中..

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