There is a degree of correlation between poverty and literacy rates given a geographical area. This is an abject, cyclical problem: impoverished areas with poor school systems produce less literate students resulting in less educational funding.
Augmented reality technology combined with machine vision and language techniques can be used to provide a platform that teaches children reading skills using physical books. Each one of the required skills for literacy (phonemes, phonics, vocabulary, comprehension) is a problem that has a well defined solution within the realm of machine learning. However in order to accommodate the target demographic the platform will not require a data connection and will be low cost. In this way we can leverage affordable technology to amplify the effectiveness of literacy instructors but keep the context of the learning appropriate.