«Can AI Simulation and Machine Learning Improve Career Plans and Educational Expectations? »: concept by I-Chien Chen, Lydia Bradford & Barbara Schneider (Michigan State University)

Anna Shpak; Vladimir Kirko

doi:doi:10.31804/2782-540X-2024-3-1-79-114

VAK Russia 5 UDC 30 CSCSTI 14.00 Russian Classification of Professions by Education 02.00.00 Russian Library and Bibliographic Classification 3 Russian Library and Bibliographic Classification 6 Russian Trade and Bibliographic Classification 7 Russian Trade and Bibliographic Classification 5 BISAC COM BISAC EDU

«Can AI Simulation and Machine Learning Improve Career Plans and Educational Expectations? »: concept by I-Chien Chen, Lydia Bradford & Barbara Schneider (Michigan State University)

Published в Asia, America and Africa history and modernity · Volume 3, Issue 1, 2024 · Pages 79–114 · Rubrics: American culture

DOI 10.31804/2782-540X-2024-3-1-79-114

Received: 01.02.2024 Accepted: 01.03.2024 Published: 13.03.2024

Authors

Anna Shpak ¹ · Vladimir Kirko ²

1 Federal State Educational Institution of Higher Education "Siberian Federal University" (Associate Professor of the Department of Cultural Studies and Art History of the Siberian Federal University)
Krasnoyarsk, Russian Federation

2 Russian Federation

ABSTRACT

An overview of the main ideas of the chapter “Learning Career Knowledge: Can AI Simulation and Machine Learning Improve Career Plans and Educational Expectations?” is provided. by I-Chien Chen, Lydia Bradford and Barbara Schneider. This chapter is part of the collective monograph “AI in Education: Designing the Future”, scientific editors of the publication are Hannele Niemi, Roy D. Pea, Yu Lu. The concept of I-Chien Chen, Lydia Bradford and Barbara Schneider is built on increasing the role of gamification for adequate career plans and educational expectations of students. The point is that students should, long before choosing a profession, present the real requirements for the level of education for their future profession. The capabilities of the Init2Winit application with machine learning technologies to create adequate ideas about the profession and how to study in order to obtain this particular chosen profession in the future are analyzed. The authors of the concept believe that gamification with machine learning will significantly equalize the level of adequacy of career plans and educational expectations, primarily for students from low-income families.

KEYWORDS

modern education career plans artificial intelligence machine learning Init2Winit gamification

Information

Authors:

1. Federal State Educational Institution of Higher Education "Siberian Federal University" (Associate Professor of the Department of Cultural Studies and Art History of the Siberian Federal University)

Krasnoyarsk, Russian Federation

2. Russian Federation

Type:

Article

Pages:

from 79 to 114

Status:

Published

Subject area:

VAK Russia 5
UDC 30
CSCSTI 14.00
Russian Classification of Professions by Education 02.00.00
Russian Library and Bibliographic Classification 3
Russian Library and Bibliographic Classification 6
Russian Trade and Bibliographic Classification 7
Russian Trade and Bibliographic Classification 5
BISAC COM COMPUTERS
BISAC EDU EDUCATION

Language:

Russian

Keywords:

modern education, career plans, artificial intelligence, machine learning, Init2Winit, gamification

Funding

The study was supported by the Russian Science Foundation Grant No. 23–28–00255, https://rscf.ru/en/project/23–28–00255/

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