Understanding the skills gap between higher education and industry in the UK in artificial intelligence sector

IF 1.9 Q2 EDUCATION & EDUCATIONAL RESEARCH

Industry and Higher Education Pub Date : 2024-09-04 DOI:10.1177/09504222241280441

Khushi Jaiswal, Ievgeniia Kuzminykh, Sanjay Modgil

引用次数: 0

Abstract

As Artificial Intelligence (AI) changes how businesses work, there’s a growing need for people who can work in this sector. This paper investigates how well universities in United Kingdom offering courses in AI, prepare students for jobs in the real world. To gain insight into the differences between university curricula and industry demands we review the contents of taught courses and job advertisement portals. By using custom data scraping tools to gather information from job advertisements and university curricula, and frequency and Naive Bayes classifier analysis, this study will show exactly what skills industry is looking for. In this study we identified 12 skill categories that were used for mapping. The study showed that the university curriculum in the AI domain is well balanced in most technical skills, including Programming and Machine learning subjects, but have a gap in Data Science and Maths and Statistics sk\ill categories.

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了解英国高等教育与工业界在人工智能领域的技能差距

随着人工智能（AI）改变了企业的工作方式，该领域对人才的需求也越来越大。本文调查了英国开设人工智能课程的大学如何为学生在现实世界中就业做好准备。为了深入了解大学课程与行业需求之间的差异，我们查阅了授课课程和招聘广告门户网站的内容。通过使用自定义数据搜刮工具从招聘广告和大学课程中收集信息，并进行频率和奈何贝叶斯分类器分析，本研究将准确显示行业正在寻找的技能。在这项研究中，我们确定了 12 个技能类别，用于绘制地图。研究表明，人工智能领域的大学课程在大多数技术技能方面都很均衡，包括编程和机器学习科目，但在数据科学和数学与统计技能类别方面存在差距。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Industry and Higher Education EDUCATION & EDUCATIONAL RESEARCH-

CiteScore

4.20

自引率

17.60%

发文量

期刊介绍： Industry and Higher Education focuses on the multifaceted and complex relationships between higher education institutions and business and industry. It looks in detail at the processes and enactments of academia-business cooperation as well as examining the significance of that cooperation in wider contexts, such as regional development, entrepreneurship and innovation ecosystems. While emphasizing the practical aspects of academia-business cooperation, IHE also locates practice in theoretical and research contexts, questioning received opinion and developing our understanding of what constitutes truly effective cooperation. Selected key topics Knowledge transfer - processes, mechanisms, successes and failures Research commercialization - from conception to product ''Graduate employability'' - definition, needs and methods Education for entrepreneurship - techniques, measurement and impact The role of the university in economic and social development The third mission and the entrepreneurial university Skills needs and the role of higher education Business-education partnerships for social and economic progress University-industry training and consultancy programmes Innovation networks and their role in furthering university-industry engagement