Forecast of Educational Trends in the Role of "Soft Skills" for the Professional Development of Future Specialists in the Conditions of Distance Learning: The Challenges of Our Time.

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Title: Forecast of Educational Trends in the Role of "Soft Skills" for the Professional Development of Future Specialists in the Conditions of Distance Learning: The Challenges of Our Time.
Authors: Tsekhmister, Yaroslav1, Stetsenko, Nataliia2, Volyk, Oleksii3, Gumennykova, Tamara4, Sharov, Oleksandr5
Source: Journal of Higher Education Theory & Practice. 2023, Vol. 23 Issue 10, p210-217. 8p.
Subject Terms: *Career development, *Distance education, Soft skills, Digital technology, Information society
Abstract: The modern requirements of the information society dictate an update on the work of educational institutions, in particular on the formation of soft skills among higher education applicants. The article aims to analyze educational trends and the role of soft skills for the professional development of future specialists in the conditions of distance learning. The article uses general scientific (analysis, synthesis) and special (abstraction, prediction) research methods. In general, it is noted that soft skills are important for career development, but it is difficult to measure them empirically. In European and American universities, the acquisition of soft skills has long been solved by additional classes and additional paid education, but since COVID-19 there are many digital platforms where you can learn them through distance education. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Higher Education Theory & Practice is the property of North American Business Press Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Education Research Complete
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PubType: Academic Journal
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Higher+Education+Theory+%26+Practice%22">Journal of Higher Education Theory & Practice</searchLink>. 2023, Vol. 23 Issue 10, p210-217. 8p.
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  Data: *<searchLink fieldCode="DE" term="%22Career+development%22">Career development</searchLink><br />*<searchLink fieldCode="DE" term="%22Distance+education%22">Distance education</searchLink><br /><searchLink fieldCode="DE" term="%22Soft+skills%22">Soft skills</searchLink><br /><searchLink fieldCode="DE" term="%22Digital+technology%22">Digital technology</searchLink><br /><searchLink fieldCode="DE" term="%22Information+society%22">Information society</searchLink>
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  Data: The modern requirements of the information society dictate an update on the work of educational institutions, in particular on the formation of soft skills among higher education applicants. The article aims to analyze educational trends and the role of soft skills for the professional development of future specialists in the conditions of distance learning. The article uses general scientific (analysis, synthesis) and special (abstraction, prediction) research methods. In general, it is noted that soft skills are important for career development, but it is difficult to measure them empirically. In European and American universities, the acquisition of soft skills has long been solved by additional classes and additional paid education, but since COVID-19 there are many digital platforms where you can learn them through distance education. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Journal of Higher Education Theory & Practice is the property of North American Business Press Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.33423/jhetp.v23i10.6195
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      – Code: eng
        Text: English
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              Text: 2023
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