Abstract
In the context of the ongoing digitalization in engineering education, this study presents the development and validation of a soil pH monitoring algorithm. Laboratory tests were performed on soils treated with various additives to monitor the pH trends over a 14-day period. These empirical results served as the foundation for designing a simulation that models the observed dynamics of the soil behavior. The simulation algorithm supports the core learning in the "Soil Mechanics" module by providing a structured view of how the pH varies over time. According to an expert evaluation, it achieved 97% accuracy (88 out of 90 points), confirming both its technical validity and educational relevance. The resulting simulation algorithm can be tailored for different instructional and research applications. These findings underscore the importance of integrating experimental data into digital learning environments and demonstrate the potential of such approaches to enhance applied learning, particularly in settings where the access to laboratories is limited.