通过机器学习增强大学生的能力

IF 1.9 Q2 EDUCATION & EDUCATIONAL RESEARCH

Industry and Higher Education Pub Date : 2022-10-19 DOI:10.1177/09504222221124498

Ainhoa Urtasun

{"title":"通过机器学习增强大学生的能力","authors":"Ainhoa Urtasun","doi":"10.1177/09504222221124498","DOIUrl":null,"url":null,"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.","PeriodicalId":46591,"journal":{"name":"Industry and Higher Education","volume":"45 1","pages":"443 - 447"},"PeriodicalIF":1.9000,"publicationDate":"2022-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Empowering undergraduates through machine learning\",\"authors\":\"Ainhoa Urtasun\",\"doi\":\"10.1177/09504222221124498\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":46591,\"journal\":{\"name\":\"Industry and Higher Education\",\"volume\":\"45 1\",\"pages\":\"443 - 447\"},\"PeriodicalIF\":1.9000,\"publicationDate\":\"2022-10-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Industry and Higher Education\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1177/09504222221124498\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"EDUCATION & EDUCATIONAL RESEARCH\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Industry and Higher Education","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1177/09504222221124498","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"EDUCATION & EDUCATIONAL RESEARCH","Score":null,"Total":0}

引用次数: 0

摘要

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。

查看原文本刊更多论文

Empowering undergraduates through machine learning

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.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

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