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Paper Type
Complete
Abstract
The advent of Artificial Intelligence (AI) is bringing about profound changes, particularly in terms of the new professions involved. These technologies are creating a need for new skills specific to Data. The aim of our contribution is to identify the skills gaps between the higher education courses that train students in the fields of Artificial Intelligence and Data, and the needs of the job market. To do this, we have - extracting Data training programs from the websites of higher education establishments - scraping a job vacancy website. We then developed an analysis based on a text mining approach, using Python code for natural language processing. Our in-depth analysis using natural language processing algorithms provides a better understanding of the components needed to best train new generations in the new professions driven by Data. This study can help shape educational programs to meet the demands of the new professions market.
Paper Number
1586
Recommended Citation
LANG, Daniel, "Is higher education adequately preparing graduates for the new Data professions?" (2024). AMCIS 2024 Proceedings. 3.
https://aisel.aisnet.org/amcis2024/is_education/is_education/3
Is higher education adequately preparing graduates for the new Data professions?
The advent of Artificial Intelligence (AI) is bringing about profound changes, particularly in terms of the new professions involved. These technologies are creating a need for new skills specific to Data. The aim of our contribution is to identify the skills gaps between the higher education courses that train students in the fields of Artificial Intelligence and Data, and the needs of the job market. To do this, we have - extracting Data training programs from the websites of higher education establishments - scraping a job vacancy website. We then developed an analysis based on a text mining approach, using Python code for natural language processing. Our in-depth analysis using natural language processing algorithms provides a better understanding of the components needed to best train new generations in the new professions driven by Data. This study can help shape educational programs to meet the demands of the new professions market.
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