Since 2020, Shinyscreen has been an integral part of the master's teaching curriculum ISB401 at the University of Luxembourg, where it is used to familiarize students with MS data analysis. The teaching module is centered on targeted and non-targeted analysis of amino acids in Saccharomyces cerevisiae (yeast) wild-type and knock-out strains. The hands on practical session not only provides students with experience in handling complex HRMS datasets but also introduces them to the principles of data exploration, quality control, and annotation. The output of Shinyscreen can be readily used with MetFragWeb (good for students to learn the features and understand the results during teaching) , ), or integrated with MetFrag Command Line itself (better for batch processing) for further analysis, enabling seamless integration into workflows for compound annotation. Notably, Shinyscreen's development was shaped, in part, by feedback and input from the 2019 student cohort, ensuring its relevance as an educational tool both for teaching the subject but also in teaching software development for a non-expert audience. Student feedback has highlighted Shinyscreen as a user-friendly tool that bridges the gap between theoretical knowledge and practical application in MS data analysis while developing a strong foundational understanding of HRMS workflows. These case studies underscore Shinyscreen's flexibility and robustness, making it a valuable tool for advancing research in environmental chemistry, database curation, and education.