Pedagogical experiment demonstrates that interactive models enhance student engagement and algorithmic understanding in cyclic codes.
The present study examines the application of interactive software models for training on the topic of “Cyclic Codes” in order to increase the success rate and engagement of students in technical disciplines. Two models have been developed—based on the polynomial method and the LFSR approach—through an established methodology adapted to the specifics of the content. A pedagogical experiment with a control and experimental group was conducted, and ANCOVA analysis was applied to eliminate the influence of initial grades. The results show a statistically significant advantage of the experimental group in terms of final grades, which confirms the positive effect of using interactive models. The analysis of engagement and solved tasks reveals that the polynomial model is used more widely and contributes to the systematic application of algorithmic steps, while the LFSR model has an illustrative nature and supports intuitive understanding through visualization of processes. The feedback received from students shows high satisfaction and points to improvements in the interface and functionality. In conclusion, interactive models prove their effectiveness as complementary tools for learning complex technical concepts, and prospects for future development through the integration of artificial intelligence and enhanced gamification are also discussed.
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Aliev et al. (2025) studied this question.
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