Content Planning for Educational Programs in the IT Field
Using Estimation of the Prospects of Technologies Based on Patent Data
Abstract
Problems of content planning for educational programs and disciplines, as well as ensuring their relevance, arise in all areas of education. Changes take place in the field of IT education frequently, which is determined by the speed of development of the technological base. The thematic content of the educational program is commonly determined by the opinion of the professional expert community and advice from employers, however, it is desirable to have numerical estimates of various topics in order to make well-founded decisions about the content of the program or course. Currently, a significant amount of research is devoted to analyzing the prospects for technology development and forecasting the demand for professional skills based on patent analysis. The article proposes a procedure for analyzing patent data in a given IT field, based on the dynamics of changes in the frequency of mention of key phrases in patents. It is assumed that each key phrase reflects a specific topic or technology, the dynamics of which in the last years under study may have one of three state options - stable state, stable growth, steady decline. Numerical parameters have been proposed that characterize the prospects of technologies: the mean number of mentions in patents in last segment of stability and the rate of change in the number of mentions. As an example, the area of "Digital Marketing" is considered. A set of key phrases has been selected that are eligible for inclusion into the educational program as topics. A patent analysis of key phrases was carried out based on patent database data for the period from 2000 to 2021. As a result, time series were formed that show the frequency of mention of key phrases in patent texts. Based on the developed procedure, a set of numerical estimates for the topics was formed. As a result, a well-founded thematic content of the educational program in this area has been formed.
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