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简单来说,就是为了让有余力的同学在社区中形成相互帮助的协同学习模式~
大家有什么问题,都可以在课程的仓库下面,通过 Issue 的形式提出,老师、助教、同学之间,都可以进行回答和相互点赞。这样可以形成一个协作网络图,在这个图上应用一个叫做 OpenRank 的算法(类似 PageRank),就可以得出大家的贡献度了。总评中这 10%,就是这个贡献度。
以另外一门课程的为例:X-lab2017/oss101#21
The text was updated successfully, but these errors were encountered:
所以,如果想提高自己的最终 OpenRank 值,可以考虑:
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简单来说,就是为了让有余力的同学在社区中形成相互帮助的协同学习模式~
大家有什么问题,都可以在课程的仓库下面,通过 Issue 的形式提出,老师、助教、同学之间,都可以进行回答和相互点赞。这样可以形成一个协作网络图,在这个图上应用一个叫做 OpenRank 的算法(类似 PageRank),就可以得出大家的贡献度了。总评中这 10%,就是这个贡献度。
以另外一门课程的为例:X-lab2017/oss101#21
The text was updated successfully, but these errors were encountered: