2026-05-31T08:20:40Zhttps://riuma.uma.es/rest/oai/request

oai:riuma.uma.es:10630/314492026-02-03T11:32:58Zcom_10630_2254col_10630_37953

Improving the Learning of Superheterodyne Demodulation of Frequency-Division Multiplexing Signals via the Educational Software Tool DOSHER. Pardo-Quiles, Domingo Rodríguez, José-Víctor Juan-Llácer, Leandro Morales-Sánchez, Juan Rodríguez-Rodríguez, Ignacio Electrónica - Estudio y enseñanza Software - Diseño The knowledge of signal demodulation processes using superheterodyne receivers is of great importance in the field of telecommunications. Superheterodyne receivers receive the current focus of many scientists in a wide variety of applications. This topic is part of the syllabus of the Communication Theory course at the School of Telecommunications of the Polytechnic University of Cartagena, Spain. The authors found that the academic performance of the students had not been entirely satisfactory in recent years. This situation was aggravated during the COVID-19 lockdown. Students had to reinforce their knowledge independently at home, despite the support provided by teachers. To the best of the authors’ knowledge, there is a noticeable lack of educational tools in this area; of those that are available, they exhibit a mismatch with the specific needs of this subject. This manuscript shows how the design of the educational software tool DOSHER, tailored to enhance the understanding of superheterodyne receivers, successfully alleviated the aforementioned drawbacks. DOSHER was designed, developed, and applied during the 2020–2021 academic year (during the COVID-19 lockdown). The results show that students were not only very satisfied with its use, but they also improved their marks. Analysis of students’ academic performance in the year of DOSHER implementation showed an average improvement in their marks of between 9–12% compared with previous years. In 2021–2022, when DOSHER was fully operational from the start, the improvement in terms of pass rate (31%) at the first mid-term was significant compared to previous years (<20%). 2024-05-31T06:16:44Z 2024-05-31T06:16:44Z 2024-05-31T06:16:44Z 2023-08-08 journal article Pardo-Quiles, D., Rodríguez, J., Juan-Llácer, L., Morales-Sánchez, J., & Rodríguez-Rodríguez, I. (2023). Improving the Learning of Superheterodyne Demodulation of Frequency-Division Multiplexing Signals via the Educational Software Tool DOSHER. Electronics, 12(16), 3381. https://doi.org/10.3390/electronics12163381 https://hdl.handle.net/10630/31449 10.3390/electronics12163381 eng http://creativecommons.org/licenses/by/4.0/ open access Atribución 4.0 Internacional MDPI