{"title":"“Can AI really help me land a job?” Student reactions to the use of artificial intelligence in career preparation","authors":"Nora Moran, David Ackerman","doi":"10.1080/08832323.2023.2275205","DOIUrl":null,"url":null,"abstract":"AbstractMany companies use artificial intelligence (AI) to screen job applicants. With more colleges also adopting AI programs to provide feedback on job seekers’ applications, will students be receptive to using these tools? This research shows certain key factors – perceptions of AI program effectiveness and enjoyability, higher networking anxiety, and being a first-generation college student – predict increased interest in using AI programs for career preparation purposes. Additional qualitative analyses also reveal why certain subsets of students have negative attitudes toward such programs. Recommendations for colleges offering AI tools and discussion of ideas for further research are provided.Keywords: Career development and preparationartificial intelligenceVMOCKfirst-generation college students IRB approval informationThe project described in this study was given approval by the CSUN Committee for the Protection of Human Subjects of California State University, Northridge (IRB #: IRB-FY22-158). All participants were given a consent form at the start of the study, as per the guidelines of the IRB at our institution. Identifiable information was not collected or used in our study.Disclosure statementNo potential conflict of interest was reported by the author(s).","PeriodicalId":47318,"journal":{"name":"Journal of Education for Business","volume":"26 1","pages":"0"},"PeriodicalIF":1.3000,"publicationDate":"2023-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Education for Business","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/08832323.2023.2275205","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
Abstract
AbstractMany companies use artificial intelligence (AI) to screen job applicants. With more colleges also adopting AI programs to provide feedback on job seekers’ applications, will students be receptive to using these tools? This research shows certain key factors – perceptions of AI program effectiveness and enjoyability, higher networking anxiety, and being a first-generation college student – predict increased interest in using AI programs for career preparation purposes. Additional qualitative analyses also reveal why certain subsets of students have negative attitudes toward such programs. Recommendations for colleges offering AI tools and discussion of ideas for further research are provided.Keywords: Career development and preparationartificial intelligenceVMOCKfirst-generation college students IRB approval informationThe project described in this study was given approval by the CSUN Committee for the Protection of Human Subjects of California State University, Northridge (IRB #: IRB-FY22-158). All participants were given a consent form at the start of the study, as per the guidelines of the IRB at our institution. Identifiable information was not collected or used in our study.Disclosure statementNo potential conflict of interest was reported by the author(s).
期刊介绍:
The Journal of Education for Business is for those educating tomorrow''s businesspeople. The journal primarily features basic and applied research-based articles in entrepreneurship, accounting, communications, economics, finance, information systems, management, marketing, and other business disciplines. Along with the focus on reporting research within traditional business subjects, an additional expanded area of interest is publishing articles within the discipline of entrepreneurship. Articles report successful innovations in teaching and curriculum development at the college and postgraduate levels. Authors address changes in today''s business world and in the business professions that are fundamentally influencing the competencies that business graduates need. JEB also offers a forum for new theories and for analyses of controversial issues. Articles in the Journal fall into the following categories: Original and Applied Research; Editorial/Professional Perspectives; and Innovative Instructional Classroom Projects/Best Practices. Articles are selected on a blind peer-reviewed basis. Original and Applied Research - Articles published feature the results of formal research where findings have universal impact. Editorial/Professional Perspective - Articles published feature the viewpoint of primarily the author regarding important issues affecting education for business. Innovative Instructional Classroom Projects/Best Practices - Articles published feature the results of instructional experiments basically derived from a classroom project conducted at one institution by one or several faculty.