This article from Nature is an excellent primer on the concerns surrounding the use of p-values as the great gate keeper of statistical significance. The article includes historical perspective on how p-values came to be so widely used as well as some discussion on solutions and alternative measures of significance.
This article also provides good examples failed attempts at replication (good examples of Type I errors) and a shout out to Open Science Framework folks.
Personally, I have revised my class for the fall to include more discussion of and use of effect sizes. I think this article may be a bit above an undergraduate, introduction to statistics class but it could be useful for us as instructors as well as a good reading for advanced undergraduates and graduate students.
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