The underrepresentation of women in engineering has received considerable attention. A series of policies and practices have been developed to promote gender-balanced participation in engineering. This study focuses on gender disparities in reasons for the choice of engineering majors and regret of that choice. The regression results show that compared to their male counterparts, women are found to select an engineering major primarily based on their high school GPA or CSAT scores rather than their aptitudes and interests. Accordingly, women regret their major choice more than men due to mismatched expectations and abilities or unsatisfactory postgraduate labor market outcomes. The findings provide policy insights to improve gender equity in engineering by further enhancing career education in secondary schools.

In engineering education, stimulating students' questions and encouraging learning participation are crucial for achieving higher-order thinking abilities. This study aims to investigate the use and effect of an online communication channel in fostering engineering students' questioning abilities. Consequently, in this research, we gauged students' satisfaction with an engineering class that implemented a communication channel, and scrutinized the changes in their perceptions regarding the significance of questions, their engagement in learning, and their academic self-efficacy. In addition, we interviewed the students who participated in the class. The outcomes are as follows: Firstly, student satisfaction improved compared to the previous semester's class where the communication channel was not utilized. Secondly, learners' understanding of the importance of asking questions positively escalated, alongside their actual frequency of posing questions. Thirdly, there was an improvement in learners' active engagement in their studies and their academic self-confidence. The findings of this research suggest that communication channels should be employed to motivate learners to pose questions and involve students in effective learning.

As information and communication technology has developed remarkably, it has become possible to analyze various types of large-volume data generated at a speed close to real time, and based on this, reliable value creation has become possible. Such big data analysis is becoming an important means of supporting decision-making based on scientific figures. The purpose of this study is to develop a big data analysis tool that can analyze large amounts of data generated through engineering education. The tasks of this study are as follows. First, a database is designed to store the information of entries in the National Creative Capstone Design Contest. Second, the pre-processing process is checked for analysis with big data analysis tools. Finally, analyze the data using the developed big data analysis tool. In this study, 1,784 works submitted to the National Creative Comprehensive Design Contest from 2014 to 2019 were analyzed. As a result of selecting the top 10 words through topic analysis, 'robot' ranked first from 2014 to 2019, and energy, drones, ultrasound, solar energy, and IoT appeared with high frequency. This result seems to reflect the current core topics and technology trends of the 4th Industrial Revolution. In addition, it seems that due to the nature of the Capstone Design Contest, students majoring in electrical/electronic, computer/information and communication engineering, mechanical engineering, and chemical/new materials engineering who can submit complete products for problem solving were selected. The significance of this study is that the results of this study can be used in the field of engineering education as basic data for the development of educational contents and teaching methods that reflect industry and technology trends. Furthermore, it is expected that the results of big data analysis related to engineering education can be used as a means of preparing preemptive countermeasures in establishing education policies that reflect social changes.

This paper presents a case study and online-offline (hybrid) course structure for project-oriented community-based service learning in order to solve real-world problems for society. It examines social issues and conduct student projects to develop solutions that can generate sustainable value. This course helps students to use their major knowledge to assess and solve the problems faced by the local community. The outcomes of this course conducted via online lectures and offline project activities are discussed. The operation of this blended type of social problem-solving course is also stated.

This paper examines the characteristics of shared universities in Korea and seeks future development directions from the analysis of its operation. This study overviews the current status of students and the characteristics of each major in the DSC Shared University. This provides the future improvement direction and analyzes the survey of attending students. The results shows the most DSC students are engineering students, and they are taking classes centering on the major courses opened by their school. Future direction of shared universities include the recruitment of students from various backgrounds, expansions of enrollment in other schools' curriculum.

This study is to explore the meaning and role of "Shared Universities" as perceived by college students. Currently, shared universities are being promoted as an important innovative strategy to overcome the decline in the college-age population and enhance the quality of education by sharing human and material resources among individual universities. This study aims to examine the meaning and value of "shared universities" as perceived by college students who actually participate in shared university programs from the perspective of the demand side. Specifically, the study seeks to explore what students feel and experience through shared university education in order to derive implications for future shared university operations.

The purpose of this study was to analyze the actual condition of the innovative sharing university project. To this end, a focus group interview was conducted by selecting officials participating in the innovative sharing university project as study participants. The collected data was analyzed using the content analysis method. The results of the study are as follows. First, in terms of the promotion system and operation dimension of project group, study participants presented difficulties and improvements in terms of the national promotion system and university-level project operation. Second, in terms of curriculum management dimension, study participants presented difficulties and improvements in content development and sharing, engagement support for professors and students participation, and securing and sharing educational infrastructure. Third, in terms of management of project performance indicators, study participants presented difficulties and improvements in managing core performance indicators, managing autonomy performance indicators, and sharing project performance. Based on these study results, suggestions for the use of research results were presented.