We present an intelligent tutoring system called REAP that provides reader-specific lexical 
practice for improved reading comprehension. REAP offers individualized practice to 
students by presenting authentic and appropriate reading materials selected automatically 
from the web. We encountered a number of challenges that must be met in order for 
the system to be effective in a classroom setting. These include general challenges 
for a system that uses authentic materials, as well as more specific challenges that 
arise from integrating the system with pre-existing classroom curricula. We discuss 
how these challenges were met, and present evidence that REAP has gained acceptance 
into the classroom at the English Language Institute at the University of Pittsburgh.