This study presents a career-integrated English education model incorporating generative AI through two tracks: (1) content development, where English education majors in four career-oriented groups (teaching vs. non-teaching; decided vs. undecided) created TOEIC-format listening materials aligned with their interests; and (2) classroom application, where the AI-generated content was implemented in first-year general classes with 103 students. Career maturity was measured by a 30-item scale, and content effectiveness by ratings of difficulty, appropriateness, usefulness, and effectiveness. Results showed that content-related factors, not learner background, best predicted overall satisfaction. Although no statistically significant differences were found, education majors tended to rate the materials as slightly more useful and slightly less difficult. Pre–post tests showed improved decisiveness, suggesting that AI-integrated, career-oriented instruction enhanced students’ confidence in career decision-making and demonstrated the potential of generative AI in fostering professional competence and career readiness.

1. 서론
2. 문헌 연구
    2.1. 생성형 AI 와 듣기교육
    2.2. 진로교과 통합교육과 진로성숙도
3. 연구 방법
    3.1. 연구 절차
    3.2. 연구 참여자
    3.3. 자료수집 및 분석
4. 연구 결과
    4.1. 영어듣기 콘텐츠 반응 분석
    4.2. 진로성숙도 사전사후 검사
    4.3. 자기성찰지
5. 토론 및 결론
REFERENCES
APPENDIX

• 이혜진(Associate Professor, Department of English Education, Wonkwang University, 460 Iksandae-ro, Iksan, Jeonbuk 54538, South Korea) | Hyejin Lee