곽도원 교수
Do Won Kwak
고려대학교 국제학부 · 사회과학
연구실 소개
곽도원 교수의 연구실은 서비스 마케팅과 교육 기술의 융합을 중심으로, 인공지능이 서비스 종사자의 고객 대응 능력 향상에 어떻게 기여하는지 연구합니다. 특히 토론형 수업, 블렌디드 러닝, 개별 맞춤형 학습 모델 등 다양한 교육 환경에서 학생 성취도와 서비스 품질 향상의 메커니즘을 정량적 분석으로 탐구합니다. 공식 개발 원조 프로그램의 효과 평가 및 교육 정책의 실증적 영향 분석에도 기여하고 있습니다. 특히 랜덤화 실험, 차이의 차이(DID) 분석, 패널 데이터 모델링을 활용한 정밀한 영향 평가가 특징입니다.
연구 현황
연구 성과 추이
표시된 성과는 수집된 데이터 기준으로 산출되며, 일부 차이가 있을 수 있습니다.
주요 논문
15Despite a rising interest in artificial intelligence (AI) technology, research in services marketing has not evaluated its role in helping firms learn about customers’ needs and increasing the adaptability of service employees. Therefore, the authors develop a conceptual framework and investigate whether and to what extent providing AI assistance to service employees improves service outcomes. The randomized controlled trial in the context of tutoring services shows that helping service employee
This paper assesses quantitatively the impact on student performance of a blended learning experiment within a large undergraduate first‐year course in statistics for business and economics students. We employ a difference‐in‐differences method, which controls for differences in student characteristics and course delivery method, to evaluate the impact of blended learning on student performance. Our results suggest that the impact of blended learning on student performance depends on whether the
Abstract We examine the conditional logit estimator for binary panel data models with unobserved heterogeneity. A key assumption used to derive the conditional logit estimator is conditional serial independence (CI), which is problematic when the underlying innovations are serially correlated. A Monte Carlo experiment suggests that the conditional logit estimator is not robust to violation of the CI assumption. We find that higher persistence and smaller time dimension both increase the magnitud
To separately identify the effects of single-sex "schooling" versus single-sex "schools", we exploit two unusual experiments in South Korea: students are randomly assigned to academic high schools within districts regardless of school types, and some schools changed their types from single-sex to coeducational over time. While the overall effects of attending a single-sex school are positive for both boys and girls, these are driven by the differences in resources between school types, rather th
Many students enrolled in first year introductory statistics courses believe learning statistics is a waste of time and fear they will fail. In this study, we explored the impacts on learning outcomes for students in an introductory statistics course by allowing students to arbitrarily choose their own sequence of learning from three key learning activities, namely tutorials, Peer-Assisted Study Sessions and Computer-Managed Learning quizzes. Unlike the old regime where the learning activities f
Precisely measuring the impact of official development assistance (ODA) programs is considered important, however, it has been a challenge for practitioners and politicians because of the lack of available data. While the Korea International Cooperation Agency (KOICA) Master’s Degree Scholarship (MDS) Program has run for many years, a formal system to assess its impact remains undeveloped. Thus, we evaluate the MDS program’s effect on participants’ individual outcomes (e.g. promotion, salary inc
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