대학입시의 AI 면접에 대한 고등학생들의 인식 연구

Abstract

Objectives This study set out to examine the perceptions of students favorable to AI interviews and preparations before AI interviews among high school students before the full-blown utilization of AI interviews in the selection of new students by colleges and universities.
 Methods For analysis purposes, the study conducted an online survey with 780 high school students(tenth, eleventh, and twelfth graders) at eight general high schools in Seoul. Of them, boys and girls accounted for 50.8% and 49.2%, respectively. The survey asked two short-answer questions: first, what type of students do you think are favorable for AI interviews?; and second, what should be prepared before AI interviews? Data were analyzed with the three-step technique by Strauss and Corbin, which involves open, axial, and selective coding, and the RStudio 4.0 program for text mining analyses.
 Results The analysis results were as follows: the most favorable students for AI interviews were “those who tense up much”(34.72%), who were followed by “those who receive good grades and work hard”(27.85%), “those who have difficulties with traveling”(6.92%), and “those who have good knowledge of AI”(5.78%). “Tension” appeared most frequently, being followed by “speaking,” “good,” “social phobia,” and “artificial intelligence” in order. As for preparations for AI interviews, the students mentioned “speaking without tensing up”(57.96%), “figuring out AI technologies”(16.46%), and “managing grades”(11.27%). “Speaking” appeared most frequently, being followed by “artificial intelligence,” “as usual,” “grades,” and “preparing hard” in the order.
 Conclusions High school students show two different reactions to AI in AI interviews for university admission: they considered AI as a tool and, at the same time, as no tool. They considered AI as a tool as they saw it as a machine that would not make interviewees nervous psychologically. They did not consider AI as a tool, as well, but it does not mean definitely that they considered AI as a human being. These two different perceptions imply that colleges and universities should refrain from overestimating the technological aspects of AI incorporated into their admission interviews and raise a need to discuss the factors behind the perceptions.