Work-in-Progress: DSP education through web-based selective concept retrieval

In the age of user experience defined by big data, digital presence, and social media, education is increasingly pursued on-line where the cognitive footprint of each student can be easily tracked, analyzed, and assessed. In this environment, learners seek to personalize their education by focusing on concepts and skills which are of immediate interest or utility which is experienced tailored to specific tastes and needs. In this paper, we present a web-based concept-centered educational platform, which has been deployed in the sophomore-level introductory Digital Signal Processing (DSP) with the goal of developing DSP problem solving skills and comprehension. We discuss it in the context of recent research on learning which supports the importance of repeated concept retrieval practice, with an emphasis on relevance during problem solving. By data-mining student activity the system can develop assistance for learners during the concept discovery.