On the link between Education and Industry 4.0: a framework for a data-driven education design

The fast pace of technological evolution, pushed by the Industry 4.0 and accelerated by the COVID-19, is in contrast with the slow change of the education institutions. Indeed, they struggle to promptly update their programs to be aligned with the labour market needs. In such a dynamic environment, a rethinking of the education design process is fundamental to support schools, universities and learning centres through a faster digitalization of their services. The emerging perspectives in curriculum design propose the use of data to develop and deliver better courses to students taking advantage of technological evolution. In this paper, we attempt to present a framework for using data as a support of education design, with a focus on textual data. The aim is to delineate a framework to exploit Natural Language Processing (NLP) and Named Entity Recognition (NER) techniques in data-driven strategies for designing courses. To support these techniques, we disclose a map of the most relevant concepts that can aid education design and can be mined with NLP.