한국공학교육학회

Current Issue : 2025년 11월 / 28권 6호

• 대학에서 생성형 AI를 활용한 리포트의 윤리적 문제 인식 현황

  저자한지영

  학술지공학교육연구 28권 6호 83-92p / 2025년 11월

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  This study was conducted to identify the ethical concerns perceived by instructors and researchers in the process of utilizing generative AI in higher education—one of the most prominent recent issues—and to propose directions for enhancing the educational value of generative AI use. To achieve the purpose of the study, a survey was administered to 318 researchers and instructors affiliated with academic societies under the Association of Korean Academic Societies. The survey instrument was developed with reference to literature on generative AI applications and related guidelines. The results showed that although the majority of instructors had experience using generative AI, their level of training on how to utilize it and their awareness of security protocols remained low. It was confirmed that academic discipline characteristics, prior AI utilization experience, and experience acquiring desired information had significant effects. Instructors perceived that the use of generative AI does not substantially help students' learning, while their concerns regarding its potential negative effects were relatively high. However, instructors' own generative AI usage and positive achievement experiences were found to be proportional to their perceptions of its effectiveness on student learning. These findings suggest the need not only for digital literacy education for students—including general AI literacy—but also for professional development programs that help instructors gain experience in utilizing generative AI and achieving positive outcomes. Based on the survey results, limitations and implications of the study were suggested.

• 토픽 모델링을 활용한 인공지능(AI) 윤리 담론 분석과 공학교육의 시사점

  저자김민주,김윤서,윤가영

  학술지공학교육연구 28권 6호 71-82p / 2025년 11월

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  With the rapid spread of generative AI since ChatGPT, ethical concerns have expanded beyond technical issues to include social responsibility, governance, and education. This study investigates the trends, main keywords and topics of artificial intelligence (AI) ethics discourse in South Korean media and explores their implications for engineering education. Using 19,322 news articles on AI ethics published between November 2022 and May 2025, this study applied text mining techniques including TF-IDF, N-gram, and Latent Dirichlet Allocation (LDA) topic modeling to identify key themes. Results show a steady rise in media coverage, with core keywords such as education, ethics, digital, responsibility, and ESG management. The analyses revealed that discussions of AI ethics are structured around interconnected domains of industry, education, and governance. In particular, AI ethics education and digital competency emerged as a central topic, closely related to industrial innovation and ethical management. Based on these findings, this study offers implications for engineering education across social, educational, industrial, and policy domains, underscoring the need to integrate AI ethics more systematically into curricula and to prepare engineers capable of addressing the ethical and data-driven challenges of the AI era. The study contributes insights for strengthening ethical literacy and designing responsible AI education in the age of AI transformation.

• 공학 설계 활동에서 초등 영재의 생성형 AI 의존성 탐색

  저자김지현 ,남윤경

  학술지공학교육연구 28권 6호 58-70p / 2025년 11월

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  This study aims to explore students’ reliance on generative artificial intelligence(generative AI reliance) in a STEM-based engineering design program. A total of nine gifted elementary students in grades 5 and 6 participated in a floating house engineering design activity supported by the generative AI tool Gemini. Data sources included students’ AI interaction logs, worksheets, prototypes, and survey responses. The analysis was conducted based on the core processes of engineering design: defining the problem, developing design solutions, and optimization. Students’ generative AI reliance in each process was operationally defined using a four-level scale (0–3). Both within-case and cross-case comparisons were employed to examine how generative AI reliance patterns emerged across the processes. Findings indicate that students’ generative AI reliance varied across the processes: higher reliance was observed in material selection and solution design, while more autonomous judgment and peer interaction were emphasized during the optimization process. These results highlight both the potential and the limitations of generative AI in STEM education, underscoring the need for clear pedagogical guidelines that balance AI support with students’ critical thinking and creative engagement.

• 대학원생 연구에서의 생성형 AI 활용: 사용 행태, 윤리 인식, 그리고 제도적 함의

  저자신지은

  학술지공학교육연구 28권 6호 48-57p / 2025년 11월

  원문보기 초록보기

  This study examines how graduate students, positioned as both researchers and learners, integrate generative AI into their research and how they perceive its ethical implications. Conducted in a large research university in May 2025, the study employed a two-stage, mixed-methods design: (1) a survey of 431 students on usage patterns, perceived usefulness, and ethical concerns, and (2) a small-group workshop drafting guidelines for the responsible use of AI. The result indicates that students widely adopt AI for supplementary tasks, such as grammar and style editing, summarization, and code debugging, while expressing cautions toward core scholarly activities, including manuscript writing and data generation. Perceived utility was highest for enhancing speed and alleviating workload, whereas ethical concerns centered on misinformation, citation integrity, and authorship. Significantly, students differentiated acceptable and prohibited uses throughout the research process, which indicates a stage-sensitive hierarchy of ethical risk. The workshop outcomes converged on four governance needs: the establishment of clear standards, transparent disclosure of AI use, human verification of outputs, and institutional support through guidelines and training. These findings highlight the dual perception of AI as both an enabler and a risk, and provide empirical grounding for graduate research ethics education and university policy.

• 예비 엔지니어의 공학적 마인드셋과 자기주도성, 교육과정 적합성, 진로결과기대 및 전공학습몰입의 구조적 관계

  저자나태희,나승일

  학술지공학교육연구 28권 6호 26-47p / 2025년 11월

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  This study investigates the structural relationships among self-directedness, curriculum relevance, career outcome expectation, major learning engagement, and the engineering mindset of prospective engineers. Using proportional stratified sampling, 450 students enrolled in accredited engineering education programs in South Korea were surveyed, and 402 valid responses were analyzed after screening for invalid, inattentive, and outlier cases. Structural equation modeling conducted with SPSS 26.0 and Mplus 7 demonstrated acceptable model fit and revealed that all four antecedent variables, self-directedness, curriculum relevance, career outcome expectation, and major learning engagement, had significant direct effects on engineering mindset. Among these antecedents, career outcome expectation and major learning engagement additionally exhibited significant single and sequential mediation effects, serving as key mechanisms that transmit the influence of self-directedness and curriculum relevance to engineering mindset. These findings indicate that both direct and mediated pathways collectively shape how prospective engineers develop an engineering mindset. Based on the identified structural relationships, this study offers meaningful implications for engineering talent development by highlighting the roles of self-directedness, curriculum relevance, and major learning engagement in fostering an engineering mindset.

• 휴대용 궤도 학습기를 활용한 인공위성 궤도 교육과정 개발 및 적용

  저자이상현,조동현 ,김종범,서명교,강민재,김광수,조태환

  학술지공학교육연구 28권 6호 16-25p / 2025년 11월

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  This study developed and implemented an orbital mechanics training program using a hand-held orbital trainer to enhance experiential learning. Following the ADDIE instructional design model, a four-session curriculum was designed in which students manipulated the six classical orbital elements to observe changes in orbital geometry and ground tracks. The program was applied to 94 second-year cadets enrolled in the 45-hour Introduction to Astronautical Engineering course at the Korea Air Force Academy. Post-implementation evaluation was conducted through a satisfaction survey (10 items, 5-point Likert scale) and qualitative feedback. Results showed high overall satisfaction with the highest ratings for “learning effectiveness and applicability.” Pearson correlation analysis confirmed significant positive associations among usability, theory–practice linkage, and perceived learning outcomes. Open-ended responses indicated increased conceptual clarity, motivation, and engagement, while suggestions focused on expanded practice time and additional instructional materials. These findings demonstrate that the hand-held orbital trainer effectively supports visualization-based understanding of orbital mechanics, bridging the gap between abstract theory and applied learning. The instructional approach can be adapted for broader use in astronautical engineering education and related training programs.

• 이공계 외국인 대학원생 조직 적응에 대한 질적 연구 : 이공계 다문화 연구실 구성원의 인식을 중심으로

  저자김보경 ,전주희,장혜지,이현응

  학술지공학교육연구 28권 6호 3-15p / 2025년 11월

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  This study analyzes the organizational adaptation process of foreign graduate students in science and engineering laboratories. In-depth interviews were conducted with supervisors, domestic graduate students, and foreign graduate students to examine adaptation across personal, social, and academic domains. Members of multicultural research laboratories reported individual adjustment challenges experienced by foreign students, including issues related to food, religion, and research culture. Social adjustment difficulties were also identified, such as role assignments and communication within laboratories. In addition, foreign students faced academic challenges, including writing research proposals and reports. Establishing English as the common language and defining fair, transparent roles between foreign and domestic students were found to reduce these conflicts. This study provides a balanced analysis of organizational adaptation in multicultural research laboratories and is expected to contribute to the development of more inclusive research culture.