Hello, short answer is teaching with data (in the U.S., BEA, BLS, and Fed -- via FRED where available) so that it is more real, tangible, practical to students. What connects most easily with students varies, this practical, data method seems to work best with students who are:
* Consumers in every-day life so are buying lots of stuff so can easily identify with data for tangible products
* Naturally analytical
* Exposed to data analytics methods from outside of economics
* Learning systems methods from other courses (whether business, political science polling, biology, or more)
* Being encouraged by you to go into graduate students as the AEA is promoting (I did in a grad program)
It also creates the opportunity to help students learn engaging data visualization software (Excel data animations, Tableau) that are popular.
Hope this helps.