Preliminary assessments have been conducted for the iJDSP and AJDSP apps on the general functionalities of the software and student perception. In addition, criteria assessed were stability/robustness, visual appeal, ease- ofuse, speed, computational accuracy and usefulness in understanding DSP concepts. A detailed assessment methodology was designed and conducted through workshops held in two phases. One phase comprised of graduate students and the other phase comprised of undergraduate DSP students. The focus of the graduate student workshop was to thoroughly test the software for all the criteria mentioned, while the undergraduate student workshop was geared towards evaluating the value addition brought by the software in teaching key concepts in DSP such as convolution, filtering, FFT and ztransforms (see Fig. (7(a)). An overall improvement of 11 percent in student understanding was observed as illustrated in Fig. 7(b). The exercise described in Section 5.1 was used to test the concepts of FFT and filtering using signals acquired from on-board microphones. To evaluate the new sensor interfaces, detailed assessments will be conducted and presented at the conference. From preliminary assessments, the usefulness of the proposed software as an interactive tool to improve conceptual learning using mobile devices in DSP instruction can be substantiated.