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DOI: 10.18503/2658-3186-2021-5-4-16-21

Abstract. Author has made an attempt to identify some features of the computer terminology’s functioning within an individual lexicon among representatives of different age categories. There has been noticed a large number of verbal means which were provisionally called associative computer terminology. Also, the author has developed the following hypothesis: traditional computer terminology prevails in the elderly generation’s use while the associative computer terminology dominates in young generation’s individual vocabulary. The data for the experimental research was  lexemes identified as a result of a quantitative analysis of computer terminology in various types of discourse. These include computer, photo gallery, technology, machine, robot, neural network, algorithm, data, artificial intelligence. Achieving the goal of the study became possible in response to the experiment using the method of personality constructs and the use of repertory grid technique. This method had been developed by the American psychologist George Alexander Kelly. The participants in the experiment are representatives of different generations, whose age ranges from 27 to 69. The number of participants was 50. Their occupation was connected with sector of industry, nuclear energy, healthcare and education. Also, the participants’ group included a separate category of people without official employment. Google Forms application program was used in the experimental research. Interpretation of the experiment results made it possible to reveal the presence of age-dependent computer terminology in the individual lexicon. We assume that it depends on the living conditions and activities of the younger generation and the predominance of the world view, which can be called computer.

Keywords: method of personality constructs, experiment, repertoire grid technique, individual lexicon, associative terminology, associative computer terms.

 

Author:

Elena V. Dmitrieva, Postgraduate Student at the Department of Foreign Languages and Professional Communication, Kursk State University, Kursk, Russia; This email address is being protected from spambots. You need JavaScript enabled to view it.

 

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For citation

Dmitrieva E. V. Age Conditionality of Computer Terminology in Individual Lexicon (Experimental Research), Gumanitarno-pedagogicheskie issledovaniya [Humanitarian and pedagogical Research], 2021, vol. 5, no. 4, pp. 16–21.