Developing English job interview skill using artificial intelligence technology
Submitted : 2021-02-01, Published : 2021-07-01.
Abstract
Vocational high schools (VHS) mainly prepare the students to engage in employment with a number of specific skills even though some students may continue to study in university/ college level. Various job vacancy advertisements require English skill in completing either the documents or interview. In competing the documents such as CV and cover letter, the students may adopt and adapt some templates even consult to the experts to get the best quality. However, in the interview, the students should perform themselves in live interaction. If the students are not well prepared, they may pass the documents selection but fail the interview step. Therefore, English job interview preparation is needed to equip the students ready in facing the job interview. Nowadays, artificial intelligence (AI) technology can help to improve the students’ speaking skill including job interview. The use of AI becomes higher due to the advantages such as flexibility, accurateness, and direct feedback. This program applied AI technology to develop English job interview skill in of the students in SMK AAG Penerbangan Adisutjipto Yogyakarta. The result was the selected AI successfully improved the students’ job interview skills indicated on the increased mark after applying the technology.
Keywords
Full Text:
PDFReferences
B. Suharno; Pambudi, N. A.; Harjanto, “Vocational education in Indonesia: History, development, opportunities, and challenges,” Child. Youth Serv. Rev., vol. 115, no. May, p. 105092, 2020.
M. M. . K. Soenarto; Amin, “An evaluation of vocational high schools in Indonesia: A,” vol. 3, no. 2, pp. 106–113, 2017.
I. M. Hambali, “Examining The Relevance of Indonesian Vocational High School Career Outcomes to The Labor Market IM Hambali 1,” vol. 10, no. 1, pp. 133–155, 2019.
C. . Downes, Cambridge English for Job-hunting. Cambridge: Cambridge University Press, 2008.
M. Otlowski, “Preparing University EFL Students for Job Interviews in English : A Task-Based Approach,” no. February, pp. 1–30, 2008.
L. Lundmann, “A QUALITATIVE STUDY OF JOB INTERVIEWERS ’ IMPLICIT PERSON THEORIES,” J. Integr. Soc. Sci., vol. 7, no. 1, pp. 1–32, 2017.
P. Pandey, M.; Pandey, “Better English for Better Employment Opportunities,” Int. J. Multidiscip. Approaches Stud., vol. Volume 1, no. August, pp. 96–103, 2014.
M. K. . Jailani and L. H. Nurbatra, “Virtual Reality System for Job Interview Application: a Development Research,” A J. Cult. English Lang. Teach. Lit. Linguist., vol. 6, no. 1, p. 31, 2019.
A. . Soerjowardhana and R. A. Nugroho, “Developing English Job Interview Skill by Self-Access Language Learning through Audio Podcast-Based Learning Media,” Celt A J. Cult. English Lang. Teach. Lit., vol. 17, no. 2, p. 179, 2017.
I. S. . Samad and A. Aminullah, “Applying ELSA Speak Software in the Pronunciation Class: Students’ Perception,” Edumaspul - J. Pendidik., vol. 3, no. 1, pp. 56–63, 2019.
A. Phakiri, P. De Costa, L. Plonsky, and S. Starfield, Eds., The Palgrave Handbook of Applied Linguistics Research Methodology. Macmillan: Palgrave, 2018.
Article Metrics
Abstract view: 647 times
Download : 450 times
This work is licensed under a Creative Commons Attribution 4.0 International License.
Refbacks
- There are currently no refbacks.