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Classification of Schoolchildren on Professional Trajectories using Experience of Successful Specialists

  • Svetoslav Zverev
  • , Mikhail Alexandrov
  • , Angels Catena
  • , John Cardiff
  • , Elena Shushkevich
  • , Dmitry Stefanovskiy

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In the paper, we propose a new approach to vocational guidance of schoolchildren based on classification of pupil wishes between given professional trajectories, which are presented by profiles of successful professionals. Both wishes and profiles are replies in free text form on a questionnaire proposed by skilled psychologists. Such an approach avoids the well-known deficiencies of traditional methods including binary questioning, talks about concrete professions, and interviews with school psychologists. We use the simple terms selection for preprocessing and the traditional method of voting for classification. The mentioned procedures are discussed and the proposed approach is preliminary checked on invited specialists. This joint Russian-Irish research has been carried out with Moscow schoolchildren (2 schools) and Moscow specialists (2 trajectories). The results of presented pilot study look very promising. It is the basis for current applied research in Moscow and the future activities in Dublin.

Original languageEnglish
Title of host publicationIEEE 2019 14th International Scientific and Technical Conference on Computer Sciences and Information Technologies, CSIT 2019 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages215-219
Number of pages5
ISBN (Electronic)9781728108063
DOIs
Publication statusPublished - Sep 2019
Event14th IEEE International Scientific and Technical Conference on Computer Sciences and Information Technologies, CSIT 2019 - Lviv, Ukraine
Duration: 17 Sep 201920 Sep 2019

Publication series

NameInternational Scientific and Technical Conference on Computer Sciences and Information Technologies
Volume1
ISSN (Print)2766-3655
ISSN (Electronic)2766-3639

Conference

Conference14th IEEE International Scientific and Technical Conference on Computer Sciences and Information Technologies, CSIT 2019
Country/TerritoryUkraine
CityLviv
Period17/09/1920/09/19

Keywords

  • classification
  • education
  • text processing
  • vocational guidance

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