Information Technology for Constructing Individual Educational Trajectories Based on Latent-Semantic Analysis of Motivational Letters and Professional Achievements of Students

Kovaliuk, Tetiana and Kobets, Nataliya and Dvornyk, Victoria (2020) Information Technology for Constructing Individual Educational Trajectories Based on Latent-Semantic Analysis of Motivational Letters and Professional Achievements of Students CEUR Workshop Proceedings Volume 2740: Proceedings of the 16th International Conference on ICT in Education, Research and Industrial Applications. Integration, Harmonization and Knowledge Transfer. Volume I: Main Conference Kharkiv, Ukraine, October 06-10, 2740. pp. 115-128. ISSN 1613-0073

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Abstract

The article considers the possibility of constructing of individual educational trajectories by students, the significance of self-determining the way of self-development. The construction of individual educational trajectory is reduced to the problems of analyzing students' motivation and determining academic disciplines which will constitute the variable part of student's individual curriculum. Students' motivations were analyzed by the applying content analysis to students ' motivational letters. As a result, the data on students’ priority fields of knowledge and activity directions were obtained. Determination of academic disciplines is carried out on the basis of Latent semantic analysis (LSA). The results of the content analysis of the students' motivational letters, the results of the students' career focus survey and the results of tests on students’ current knowledge levels are the input of the LSA. The output of Latent semantic analysis is a list of knowledge areas relevant for the student’s profession. Ontologies of subject areas are built based on the list of knowledge areas. Ontology of subject areas is proposed to be built in the form of a thesaurus, describing the categorically-conceptual apparatus of the subject area. Determination of the key words of the subject area topics chosen by the student is carried out by using the Latent Dirichlet allocation. Defined keywords are the criteria for selecting the disciplines which will constitute the student's individual curriculum. Approbation of proposed information technology has shown its reliability.

Item Type: Article
Uncontrolled Keywords: individual educational trajectory; motivation letter; content analysis; latent semantic analysis; Latent Dirichlet allocation; student
Subjects: Статті у наукометричних базах > Scopus
Divisions: Факультети > Факультет інформаційних технологій та управління > Кафедра комп'ютерних наук і математики
Depositing User: Наталія Михайлівна Кобець
Date Deposited: 24 Nov 2020 07:21
Last Modified: 26 May 2021 07:00
URI: https://elibrary.kubg.edu.ua/id/eprint/32863

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