The boiling temperatures of 1-alkanols and short-chain, branched, monovalent alkanols are discussed here. With the help of a haptically supported data organization, the students analyze how molecular structural features influence the boiling temperature. The algorithm used is didactically reduced and mathematically simplified in such a way that it can be understood at upper secondary level without any programming knowledge. The method also allows an introduction to the basic principles of machine learning without being tied to a specific programming language. In this way, current developments in digital education and AI can be integrated into chemistry lessons in a didactically meaningful way in order to promote the handling of data and convey a deeper understanding of chemical relationships.