{"title":"Impressing Artificial Intelligence: Automated Job Interview Training in Professional English Subjects","authors":"Andrew Jarvis, Anna Ho, Grace Lim","doi":"10.1177/00336882241245449","DOIUrl":null,"url":null,"abstract":"More organizations are using automated job interview platforms to screen candidates at the early stages of the recruitment process. These platforms enable job candidates to take automated video interviews remotely using their personal devices. The interviews are analysed by artificial intelligence (AI) powered algorithms to produce analytics which inform hiring decisions. In this article, we explore the use of automated job interviewing within professional English subjects delivered to undergraduate students in Hong Kong. The innovation was introduced to help students to keep up with recruitment practices, provide speaking practice and explore AI-powered evaluation as a form of feedback. As well as outlining how automated interviewing was integrated into our teaching practice, we discuss student feedback on the experience and offer suggestions for future teaching practice with this technology. We also highlight considerations for practitioners such as the acceptance and adoption of AI technologies into language learning provision and the development of AI literacy skills. AI technologies have much potential for language teaching and this article offers a practical exploration into one such technology: automated job interviewing.","PeriodicalId":46946,"journal":{"name":"Relc Journal","volume":null,"pages":null},"PeriodicalIF":3.6000,"publicationDate":"2024-04-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Relc Journal","FirstCategoryId":"98","ListUrlMain":"https://doi.org/10.1177/00336882241245449","RegionNum":2,"RegionCategory":"文学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"LINGUISTICS","Score":null,"Total":0}
引用次数: 0
Abstract
More organizations are using automated job interview platforms to screen candidates at the early stages of the recruitment process. These platforms enable job candidates to take automated video interviews remotely using their personal devices. The interviews are analysed by artificial intelligence (AI) powered algorithms to produce analytics which inform hiring decisions. In this article, we explore the use of automated job interviewing within professional English subjects delivered to undergraduate students in Hong Kong. The innovation was introduced to help students to keep up with recruitment practices, provide speaking practice and explore AI-powered evaluation as a form of feedback. As well as outlining how automated interviewing was integrated into our teaching practice, we discuss student feedback on the experience and offer suggestions for future teaching practice with this technology. We also highlight considerations for practitioners such as the acceptance and adoption of AI technologies into language learning provision and the development of AI literacy skills. AI technologies have much potential for language teaching and this article offers a practical exploration into one such technology: automated job interviewing.
期刊介绍:
The RELC Journal is a fully peer-reviewed international journal that publishes original research and review articles on language education. The aim of this Journal is to present information and ideas on theories, research, methods and materials related to language learning and teaching. Within this framework the Journal welcomes contributions in such areas of current enquiry as first and second language learning and teaching, language and culture, discourse analysis, language planning, language testing, multilingual education, stylistics, translation and information technology. The RELC Journal, therefore, is concerned with linguistics applied to education and contributions that have in mind the common professional concerns of both the practitioner and the researcher.