University students from diverse language backgrounds encounter some difficulty every day. Often tuition language and culture are different from what they have learned at home. In this article, the term linguistically diverse students will be used to refer to “students whose first language is other language than Latvian. The scientific data collected by the author are from 2013/2014 academic year until 2015/2016 academic year (3 academic years). Machine translation technology is constantly being applied by linguistically diverse students, but a machine cannot assess whether a sentence sounds good or bad. Motivation is a powerful force in second-language learning. The aim of the research is to find out how to solve linguistically diverse 1st year university students' problems using digital technologies and digital learning. Educational support and motivation enhancement are very important. Various courses that use digital learning can be applied as the spectrometers which help to identify and solve the 1st year students' education quality problems and increase learning motivation.