I have pointed students here, as a way of finding answers to their more frequent questions -- especially when they needed information quickly (I'm just not around much at 3am on Sunday). In each case they were students with a couple of stats courses already, but I'd consider it with introductory level students if they clearly understood how to use it as a resource (i.e. mostly via search).
It can be a valuable source of basic explanations, intuition, examples and motivation.
It has many useful counterexamples to common errors of understanding.
These might be incorporated into learning in a variety of ways; it's hard to say more without knowing how your subject is organized and what topics you cover.
There are some excellent answers - mostly, but not all non-community-wiki - that provide insight on a number of topics. Both internal and external searches can turn up some very useful posts (I suggest using both, as they often tend to turn up different answers).
Some of those might be used as additional reference material, or supply you with different explanations that would be useful in cases where the more common discussion of an issue isn't working as well.
Some might suggest exercise-type questions for students to consider, or more extensive investigations.
Excellent questions and answers cover a variety of levels from basic (at least the questions seem so -- the answers usually reveal subtleties not obvious to the beginner):
Why square the difference instead of taking the absolute value in standard deviation?
Which "mean" to use and when?
through introductory-level but highly important:
confidence intervals
The meaning of a t-value and a p-value
CLT intuition
insight on covariance
centering and scaling
normal residuals vs normal y in regression
to numerous intermediate topics and beyond ...
You can also search up a tag or tags and find highly rated questions or answers.
For example, if you're discussing histograms, you can find the histogram
tag, and click it to get a list of upvoted questions with the tag (though keep in mind that tagging is incomplete).
I can suggest:
1) rather than just plug it, suggest ways to make use of it (perhaps a one-page resource on using it)
explain how to search it both internally and via external search engines (such as Google).
explain how to use tags to search
point to information on how to ask questions if they aren't answered here
2) reference parts of it in materials where it's relevant
3) depending on how your subject is organized you may be able to base questions of some of the content