Abstract

This study explores the effect of foundational exercises, FIR and IIR DSP systems, and simulation tools on the learning outcomes and research attitudes of students studying Digital Signal Processing (DSP). A quantitative approach was used to investigate how these educational interventions affect students' understanding of DSP theories and practical skills. Data were collected over one semester using questionnaires and assessments of surveys carried out in DSP classes to track any shifts in understanding and attitudes. Results show that organized foundation exercises greatly improve conceptually, while inclusion of FIR and IIR systems better both theoretical and practical know-how. Lastly, tools such as Matlab and Simulink enable increased and better understanding and application of the concept of DSP. These findings indicate that the curriculum integrating these elements can actually promote deeper understanding and engagement in DSP education. Finally, the study concludes with recommendations for refining DSP teaching methods and exploring the long-term impact of these strategies on student learning.