Abstract

The data set consists of a selection and organization of pre-existing raw data on students’ future perception. This raw data have been collected in Italian implementations of the Erasmus+ project “I SEE” (GA 2016-1-IT02-KA201-024373, https://iseeproject.eu) and consists of more than 100 anonymized essays on “a typical day in 2030 or 2040”. In these essays, 17-19 years old students describe how they imagine their future (the job, the technologies, the social and natural environments). The dataset includes transcriptions of the most relevant parts of “I SEE” essays and the results of their quantitative and qualitative software analysis. The aims of these analyses are to build a framework on students (15-19 years old) perception of the future and to point out markers for assessing eventual changes in students’ perception of the future, through teaching.