The potential of using artificial intelligence in developing individual human intelligence profiles

Maria Pietrzak & Ryszard Ząbkowski

Online Journal of Applied Knowledge Management2024https://doi.org/10.36965/ojakm.2024.12(2)1-14article
AJG 1
Weight
0.40

What the paper says

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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https://doi.org/https://doi.org/10.36965/ojakm.2024.12(2)1-14

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@article{maria2024,
  title        = {{The potential of using artificial intelligence in developing individual human intelligence profiles}},
  author       = {Maria Pietrzak & Ryszard Ząbkowski},
  journal      = {Online Journal of Applied Knowledge Management},
  year         = {2024},
  doi          = {https://doi.org/https://doi.org/10.36965/ojakm.2024.12(2)1-14},
}

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Evidence weight

0.40

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.24 × 0.4 = 0.10
M · momentum0.53 × 0.15 = 0.08
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.