Impressing Artificial Intelligence: Automated Job Interview Training in Professional English Subjects
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 (...
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| Vydáno v: | RELC journal Ročník 56; číslo 3; s. 751 - 759 |
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| Hlavní autoři: | , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
| Vydáno: |
London, England
SAGE Publications
01.12.2025
SAGE PUBLICATIONS, INC |
| Témata: | |
| ISSN: | 0033-6882, 1745-526X |
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| 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. |
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| AbstractList | 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. |
| Author | Ho, Anna Jarvis, Andrew Lim, Grace |
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| Cites_doi | 10.25035/pad.2021.02.001 10.1109/ICIET55102.2022.9778999 10.1002/9781118339855.ch2 10.1186/s13673-019-0205-6 10.1177/0033688220917472 10.1016/j.caeai.2021.100041 10.1177/00336882231168504 10.1108/ITP-04-2019-0173 10.1515/iral-2014-0008 10.1287/mnsc.35.8.982 10.1080/0969594X.2020.1735995 10.1016/j.chb.2019.04.012 10.4324/9780429452437 10.1111/ijsa.12191 |
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| References | Gu, Davis, Tao 2021; 28 Suen, Chen, Lu 2019; 98(1) Ng, Leung, SKW 2021; 2(1) Mahboob 2014; 52 Suen, Hung, Lin 2020; 10(1) Chen 2022 Kim, Heo 2022; 35 Tippins, Oswald, McPhail 2021; 7 Hafner, Pun 2020; 51 Langer, König, Krause 2017; 25 Davis, Bagozzi, Warshaw 1989; 35 Hockly 2023; 54 bibr14-00336882241245449 bibr11-00336882241245449 bibr5-00336882241245449 bibr8-00336882241245449 bibr4-00336882241245449 bibr2-00336882241245449 bibr7-00336882241245449 Chen YC (bibr1-00336882241245449) 2022 Stokes J (bibr13-00336882241245449) 2024 bibr16-00336882241245449 bibr12-00336882241245449 bibr10-00336882241245449 bibr9-00336882241245449 bibr6-00336882241245449 bibr3-00336882241245449 Suen HY (bibr15-00336882241245449) 2020; 10 |
| References_xml | – volume: 28 start-page: 58 issue: 1 year: 2021 end-page: 76 article-title: Using spoken language technology for generating feedback to prepare for the TOEFL iBT® test: a user perception study publication-title: Assessment in Education: Principles, Policy & Practice – volume: 98(1) start-page: 93 year: 2019 end-page: 101 article-title: Does the use of synchrony and artificial intelligence in video interviews affect interview ratings and applicant attitudes? publication-title: Computers in Human Behavior – volume: 51 start-page: 3 issue: 1 year: 2020 end-page: 13 article-title: Introduction to this special issue: English for academic and professional purposes in the digital Era publication-title: RELC Journal – volume: 2(1) start-page: 100041 year: 2021 article-title: Conceptualizing AI literacy: an exploratory review publication-title: Computers and Education: Artificial Intelligence – volume: 7 start-page: 1 issue: 2 year: 2021 end-page: 22 article-title: Scientific, legal, and ethical concerns about AI-based personnel selection tools: a call to action publication-title: Personnel Assessment and Decisions – volume: 35 start-page: 982 issue: 8 year: 1989 end-page: 1003 article-title: User acceptance of computer technology: a comparison of two theoretical models publication-title: Management Science – volume: 35 start-page: 861 issue: 3 year: 2022 end-page: 878 article-title: Artificial intelligence video interviewing for employment: perspectives from applicants, companies, developer and academicians publication-title: Information Technology & People – volume: 52 start-page: 183 issue: 2 year: 2014 end-page: 203 article-title: Meeting the challenges of English-medium higher education in Hong Kong publication-title: International Review of Applied Linguistics in Language Teaching – start-page: 1 year: 2022 end-page: 25 article-title: Effects of technology-enhanced language learning on reducing EFL learners’ public speaking anxiety publication-title: Computer Assisted Language Learning – volume: 54 start-page: 445 year: 2023 end-page: 451 article-title: Artificial intelligence in English language teaching: the good, the bad and the ugly publication-title: RELC Journal – volume: 25 start-page: 371 issue: 4 year: 2017 end-page: 382 article-title: Examining digital interviews for personnel selection: applicant reactions and interviewer ratings publication-title: International Journal of Selection and Assessment – volume: 10(1) start-page: 1 year: 2020 end-page: 12 article-title: Intelligent video interview agent used to predict communication skill and perceived personality traits publication-title: Human-centric Computing and Information Sciences – ident: bibr16-00336882241245449 doi: 10.25035/pad.2021.02.001 – ident: bibr2-00336882241245449 doi: 10.1109/ICIET55102.2022.9778999 – ident: bibr4-00336882241245449 doi: 10.1002/9781118339855.ch2 – volume: 10 start-page: 1 year: 2020 ident: bibr15-00336882241245449 publication-title: Human-centric Computing and Information Sciences doi: 10.1186/s13673-019-0205-6 – ident: bibr7-00336882241245449 doi: 10.1177/0033688220917472 – ident: bibr12-00336882241245449 doi: 10.1016/j.caeai.2021.100041 – ident: bibr8-00336882241245449 doi: 10.1177/00336882231168504 – ident: bibr9-00336882241245449 doi: 10.1108/ITP-04-2019-0173 – ident: bibr11-00336882241245449 doi: 10.1515/iral-2014-0008 – ident: bibr3-00336882241245449 doi: 10.1287/mnsc.35.8.982 – ident: bibr5-00336882241245449 doi: 10.1080/0969594X.2020.1735995 – ident: bibr14-00336882241245449 doi: 10.1016/j.chb.2019.04.012 – start-page: 1 year: 2022 ident: bibr1-00336882241245449 publication-title: Computer Assisted Language Learning – start-page: 103 volume-title: Best Practices in English Teaching and Learning in Higher Education Lessons from Hong Kong for Global practice year: 2024 ident: bibr13-00336882241245449 – ident: bibr6-00336882241245449 doi: 10.4324/9780429452437 – ident: bibr10-00336882241245449 doi: 10.1111/ijsa.12191 |
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| SubjectTerms | Adoption of innovations Algorithms Artificial intelligence Automation Candidates College students Educational Practices Educational technology Employment interviews Feedback Hiring Influence of Technology Innovations Interviews Job applicants Job training Language acquisition Language teaching methods Literacy Literacy skills Professional training Recruitment Teaching Technology Undergraduate students |
| Title | Impressing Artificial Intelligence: Automated Job Interview Training in Professional English Subjects |
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