Features of the Intelligence Structure of Future Digital Technology Professionals

DOI

10.2991/aebmr.k.200502.139How to use a DOI?

Keywords

intelligence, computer thinking, intelligence structure of digital technology specialists, general intelligence, spatial abilities

Abstract

At present, the problem of predictors of successful learning of programming and mastery of computer thinking is becoming especially urgent. The authors proposed to analyze the structure of the intellectual abilities of students of different education profiles to identify the intelligence features of future information technology specialists. The study involved 319 first-year students of the Ural State Pedagogical University of Yekaterinburg. To study the characteristics of computer intelligence indicators, a universal intellectual test was used. The following factors were identified in the structure of the intelligence of computer scientists: 1) probabilistic-mathematical, 2) verbal-informational, 3) visual-spatial. The mathematical intelligence of computer scientists is not associated with verbal-logical thinking because the leading factors are the ability to consistently work out the hypotheses put forward on the basis of an intuitively distinguished general property of a cognizable phenomenon. The authors also found that digital technologists quickly switch to various mental actions, relying on various forms of spatial manipulations with a cognizable object.

Copyright

© 2020, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - S.A. Vodyakha
AU  - Yu.E. Vodyakha
AU  - D.A. Pogadaeva
PY  - 2020
DA  - 2020/05/05
TI  - Features of the Intelligence Structure of Future Digital Technology Professionals
BT  - Proceedings of the 2nd International Scientific and Practical Conference “Modern Management Trends and the Digital Economy: from Regional Development to Global Economic Growth” (MTDE 2020)
PB  - Atlantis Press
SP  - 853
EP  - 858
SN  - 2352-5428
UR  - https://doi.org/10.2991/aebmr.k.200502.139
DO  - 10.2991/aebmr.k.200502.139
ID  - Vodyakha2020
ER  -