THE IMPACT OF AI USAGE ON THE DEVELOPMENT OF PROBLEM-SOLVING SKILLS FOR DIGITAL TALENT HUMAN RESOURCES
DOI :
https://doi.org/10.63786/jipower.v1i3.27Mots-clés :
Artificial Intelligence (AI), Problem Solving, Digital Talent, Workforce Development, Digital EconomyRésumé
The rapid adoption of Artificial Intelligence (AI) in various industries has significantly impacted the development of digital talent, particularly in enhancing problem-solving skills. This study aims to examine the impact of AI on the development of problem-solving abilities in digital talent. A quantitative research approach was used, with participants undergoing AI-assisted training designed to improve their problem-solving capabilities. Pre-test and post-test evaluations were conducted to measure changes in participants' problem-solving skills. The data were analyzed using statistical methods to identify significant differences before and after the AI intervention. The findings indicate that the use of AI positively contributes to the improvement of problem-solving skills among digital talent, providing insights into how AI can be leveraged to better prepare the workforce for the demands of the digital economy.
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Références
Bessen, J. E. (2019). AI and Jobs: The Role of Demand. NBER Working Paper No. 24235. National Bureau of Economic Research.
Brynjolfsson, E., & McAfee, A. (2017). The Business of Artificial Intelligence: What It Can — and Cannot — Do for Your Organization. Harvard Business Review.
Chui, M., Manyika, J., & Miremadi, M. (2018). What AI Can and Can’t Do (Yet) for Your Business. McKinsey Quarterly.
Esteva, A., Kuprel, B., Novoa, R. A., Ko, J., Swetter, S. M., Blau, H. M., & Thrun, S. (2017). Dermatologist-level classification of skin cancer with deep neural networks. Nature, 542(7639), 115–118.
He, J., Zhang, Y., & Weng, C. (2018). An intelligent tutoring system for problem-solving in mathematics with self-regulated learning support. Journal of Educational Computing Research, 56(4), 435–461.
Huang, C., Chen, Z., & Lin, S. (2019). Artificial Intelligence in Education: The Impact of AI Tools on Enhancing Problem-Solving Skills. Journal of Educational Technology, 43(2), 105-118.
IBM Watson. (2018). Transforming the Workforce: How IBM Watson Is Revolutionizing Corporate Training. IBM Press.
Jonassen, D. H. (2000). Toward a design theory of problem solving. Educational Technology Research and Development, 48(4), 63–85.
Jordan, M. I., & Mitchell, T. M. (2015). Machine learning: Trends, perspectives, and prospects. Science, 349(6245), 255–260.
Kane, G. C., Palmer, D., Phillips, A. N., & Kiron, D. (2019). The Technology Fallacy: How People Are the Real Key to Digital Transformation. MIT Press.
Manyika, J., Chui, M., Miremadi, M., Bughin, J., George, K., Willmott, P., & Dewhurst, M. (2017). A Future That Works: Automation, Employment, and Productivity. McKinsey Global Institute.
JPMorgan Chase. (2019). AI for Risk Management and Financial Analysis: A Case Study in Corporate Training. JPMorgan Press.
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© Febri Pramudya Wardani, K.P.Suharyono Soemarwoto Hadiningrat, Dewanto Soedarno 2024
Cette œuvre est protégée sous licence Creative Commons Attribution - Partage dans les Mêmes Conditions 4.0 International.
