I recently wrote a paper for my Hierarchical Linear Modeling class on using Ordinal Logistic HLM to detect unfavorable biases on test questions (DIF detection in Item Response Theory Language). Since there is not much info about this on the internet (except a couple recent disserations, which are very good) I have made it available. If you are interested reading it, here it is in PDF form.
I wrote another more basic paper introducing how to interpret HLM coefficients using an example. Find it here, in PDF form.
I am interested in any feedback or comments on them.

In a very provocative research seminar at GSU yesterday, 

Open innovation in education, OLEDs, and Nature
Mozilla, Creative Commons, and P2P University announced a new open innovation initiative to partner with educators in extending Mozilla’s role in the education space. This post has more about Mozilla’s strategic position to engage in the open innovation process build educational materials.
Innocentive and Nature just announced a partnership of somekind to engage scientists in solving global scientific challenges. It is refreshing to see this large publisher getting involved in such a worthwhile endevor. Perhaps this is in response to MIT’s announcement to make all it’s faculties scientific papers available for free on the internet.
Lastly, Novaled, an OLED maker, and Holst Centre, an open innovation R&D company announced a partnership.
Read Pascal Finette’s blog about the interesting name change for the LinkedIn Open Innovation group.