التفاصيل البيبلوغرافية
| العنوان: |
Does higher education properly prepare graduates for the growing artificial intelligence market? Gaps' identification using text mining. |
| المؤلفون: |
Benhayoun, Lamiae, Lang, Daniel, Trunk, Aleš, Dawson, David |
| المصدر: |
Human Systems Management; 2021, Vol. 40 Issue 5, p639-651, 13p |
| مصطلحات موضوعية: |
ARTIFICIAL intelligence, NATURAL language processing, MARKETING strategy, HIGHER education, PYTHON programming language, ENGINEERING schools |
| مستخلص: |
BACKGROUND: The renewed advent of Artificial Intelligence (AI) is inducing profound changes in the classic categories of technology professions and is creating the need for new specific skills. OBJECTIVE: Identify the gaps in terms of skills between academic training on AI in French engineering and Business Schools, and the requirements of the labour market. METHOD: Extraction of AI training contents from the schools' websites and scraping of a job advertisements' website. Then, analysis based on a text mining approach with a Python code for Natural Language Processing. RESULTS: Categorization of occupations related to AI. Characterization of three classes of skills for the AI market: Technical, Soft and Interdisciplinary. Skills' gaps concern some professional certifications and the mastery of specific tools, research abilities, and awareness of ethical and regulatory dimensions of AI. CONCLUSIONS: A deep analysis using algorithms for Natural Language Processing. Results that provide a better understanding of the AI capability components at the individual and the organizational levels. A study that can help shape educational programs to respond to the AI market requirements. [ABSTRACT FROM AUTHOR] |
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| قاعدة البيانات: |
Complementary Index |
