Empowering undergraduates through machine learning

IF 1.9 Q2 EDUCATION & EDUCATIONAL RESEARCH
Ainhoa Urtasun
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引用次数: 0

Abstract

This report describes a teaching experience with undergraduates to approach, in a simple and practical way, artificial intelligence (AI) and machine learning (ML) – general-purpose technologies that are highly demanded in any industry today. The article shows how business undergraduates with no prior experience in coding can use AI and ML to solve business-related problems, particularly human resource management (HRM) problems. AI and ML are powerful technologies that can improve the analytical skills and employability of those who understand them.
通过机器学习增强大学生的能力
本报告描述了本科生的教学经验,以简单实用的方式介绍人工智能(AI)和机器学习(ML) -当今任何行业都高度需要的通用技术。这篇文章展示了没有编码经验的商业本科生如何使用AI和ML来解决与业务相关的问题,特别是人力资源管理(HRM)问题。人工智能和机器学习是强大的技术,可以提高理解它们的人的分析技能和就业能力。
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
Industry and Higher Education EDUCATION & EDUCATIONAL RESEARCH-
CiteScore
4.20
自引率
17.60%
发文量
64
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
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