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디지털리터러시와 기술수용성이 생성형 AI 사용만족도에 미치는 영향: 공학과 인문사회 전공자 중심의 비교

The Impact of Digital Literacy and Technology Acceptance on User Satisfaction with Generative AI: A Comparison Focused on Engineering and Humanities/Social Sciences Majors

조한라|최미순|김영진
한국컴퓨터정보학회 (The Korean Society Of Computer And Information)|2024.12|한국컴퓨터정보학회논문지 (Journal of The Korea Society of Computer and Information)|제29권 제12호|pp. 305-316|DOI https://doi.org/10.9708/jksci.2024.29.12.305

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키워드

디지털 리터러시만족도SatisfactionDigital literacyTechnology acceptance생성형 AIGenerative AI고등교육Higher education기술 수용성
주제분류컴퓨터학

초록

본 연구는 디지털 리터러시와 기술 수용성이 생성형 AI 사용 만족도에 미치는 영향을 확인하는것을 목적으로 한다. 공학과 인문·사회학 계열 대학생 222명이 응답한 설문조사 결과를 기반으로다중회귀분석을 실시한 결과, 기술 수용성은 생성형 AI 사용 만족도에 긍정적 영향을 미치지만, 디지털 리터러시는 영향을 미치지 않는 것으로 나타났다. 또한, 공학 전공 학생들이 인문·사회학전공 학생들보다 디지털 리터러시, 기술 수용성, 생성형 AI 사용 만족도에서 높은 점수를 기록하였다. 공학 전공 학생들은 소프트웨어 사용 능력과 유용성이 높아질수록 만족도가 증가하였고, 반면 인문·사회학 전공 학생들은 용이성과 유용성이 높다고 인식할 때 만족도가 높아지는 것으로나타났다. 이러한 결과를 바탕으로 생성형 AI의 교육적 활용 방안에 대해 논의하였다.

Abstract

This study aims to examine the impact of digital literacy and technology acceptance on satisfaction with generative AI. Based on a survey conducted with 222 college students majoring in engineering and humanities/social sciences, a multiple regression analysis revealed that technology acceptance positively influences generative AI satisfaction, while digital literacy does not have an effect. Furthermore, engineering students scored higher than humanities/social sciences students in digital literacy, technology acceptance, and generative AI satisfaction. Engineering students showed increased satisfaction as their software proficiency and perceived usefulness improved, while humanities/social sciences students reported higher satisfaction when they perceived ease of use and usefulness. Based on these findings, the educational implications for the use of generative AI were discussed.

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