Teaching Signal Processing Concepts to Digital Natives

Abstract

Teaching is increasingly migrating to digital platforms, where relevant content can be quickly accessed and explored in small chunks within the appropriate context. A variety of on-line systems have been developed to cater to educational experience that is predominantly digital, contextually accurate, and personalized to learner's conceptual understanding and needs. In this paper, we provide an update on our continuing efforts at Georgia Tech to transform an undergraduate signal processing course into a data-mining teaching environment that structures student learning through concept driven content and personalized programmed instruction.