Sunday, February 16, 2025
Volume 12, 2024: Issue 2 |
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Title: |
The potential of using artificial intelligence in developing individual human intelligence profiles |
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Author(s): |
Maria Pietrzak, Warsaw School of Economics, Poland Ryszard Ząbkowski, Poland |
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Abstract: |
It seems that most educational systems nowadays are focused on just part of human intelligence (basically logical, mathematical, and lingual), which implies a lot of general assumptions and actions in the teaching process. As a result, many students are treated as untalented because their dominant intelligence is not the one valued in today’s schools. This causes both frustration and educational problems, not to mention the fact that many great abilities are being wasted due to being undiscovered. This article aims to investigate the possibility of using Artificial Intelligence (AI) to define individual intelligence profiles, which can be used to outline personal development paths in line with the specific set of talents of every human being. Based on the literature review, the authors have identified a need for further qualitative research aimed at projecting a roadmap focused on discovering the complete personality profile of everyone with the use of AI and then creating the optimal development path for people to reach their full potential. This will be very advantageous for both individuals and the whole society. We kindly invite all the researchers interested in implementing AI in holistic talent diagnosis and development to contribute to a common, systematic, and interdisciplinary research project that would aim at taking full advantage of AI opportunities for individuals, specific communities, and the whole society. |
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Keywords: |
Artificial Intelligence (AI), individual potential, talent, personal development, educational system, teaching |
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DOI: |
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Type: |
Research paper |
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Journal: |
The Online Journal of Applied Knowledge Management (OJAKM), ISSN: 2325-4688 |
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Publisher: |
International Institute for Applied Knowledge Management (IIAKM) |
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Received: |
12 March 2024 |
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Revised: |
10 May 2024; 4 July 2024; 16 July 2024; 19 September 2024; 29 October 2024; 31 October 2024 |
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Accepted: |
31 October 2024 |
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Accepting Editor: |
Meir Russ |
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Pages: |
1-14 |