• Journal of Engineering Education Research
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• v.24 no.4
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• pp.3-20
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• 2021

As we have become more interested in 'competency' that means ability to do something around the world, the competency of the best performers has also been introduced in the university curriculum as a concept of core competency. Research continues on why this competency-based education is needed compared to existing academic-oriented education, how it can be introduced into existing curricula, and how it can be developed and evaluated in detail. This study develops and validates core competency assessment tools that can diagnose core competencies of engineering students. Therefore, this research paper conducted a literature review related to core competencies and also core competency assessment tools of university students. It seeks to explore the implications of core competency assessment tools for engineering students and then lay the foundation for competency-based teaching and learning at engineering colleges. And also it defines the concepts of core competencies and each core competency of engineering students through prior research analysis of competence, core competence, and core competence of university students. The primary core competency assessment tool consisted of sub-factors and questions of core competencies. It were modified through the expert validation of the primary one and then it was used as a core competency assessment tools for preliminary investigation. The core competency assessment tools for engineering students are consisted of 6 competencies, 22 sub-factors, and 91 questions. There are core competencies as follows: engineering basic competencies, major engineering competencies, self-management competencies, communication competencies, interpersonal competencies, global competencies. The preliminary survey was conducted on 426 engineering students attending the Engineering Education FESTA 2019. The preliminary findings were derived by conducting exploratory factor analysis, confirmatory factor analysis, question characteristics analysis, and reliability analysis for validation. The core competency assessment tools developed through this study can be used to verify the effectiveness of the curriculum and programs for students at engineering colleges. In addition, the developed core competencies, sub-factors, and questions can be utilized in a series of courses that design, conduct, and evaluate engineering curricula and programs as competency-based curriculum. The significance of this study is to lay the groundwork for providing competency-based education engineering students to develop core competencies.

• Journal of Engineering Education Research
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• v.24 no.5
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• pp.15-27
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• 2021

The purpose of this study was to develop an indicator of core competency of freshmen of an Institute of Science & Technology (IST). Through the document analysis and the expert survey, core competency indicators that include 5 core competencies and 15 sub-competencies (a total of 48 items) were developed. Then content validity was examined by experts in measurement and statistics and secondary education. Also, by using students' responses, reliability was tested with Cronbach's alpha and construct validity were tested through confirmatory factor analysis. Results suggest that the core competency indicator is reliable and valid in measuring core competencies of freshmen students in an Institute of Science & Technology. Discussions were provided in terms of improving student admission processes.

• Journal of Engineering Education Research
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• v.27 no.2
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• pp.35-50
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• 2024

The purpose of this study is to identify the core competencies of graduate students at A research university in the context of graduate education in science and engineering, and to develop and validate a diagnostic tool to measure them. To achieve the research objectives, first, 6 factors and 18 sub-competencies of core competencies were derived based on a review of domestic and foreign studies, cases of excellent research-centered overseas universities, and interviews with members of A University. Second, a theoretical model was constructed by deriving behavioral indicators based on the core competencies and sub-competencies, and a preliminary survey was conducted on 188 graduate students of University A to verify the statistical validity of the theoretical model. Results of exploratory and confirmatory factor analysis, the core competencies of graduate students at A research university consisted of 6 factors, 16 sub-competencies, and 77 items. Specifically, it included "Independent research capability(13 items)", "Social Entrepreneurship(10 items)", "Academic agility(15 items)", "Ingenious Challenges(15 items)", "Collegial Collaboration(9 items)", and "Mueunjae leadership(15 items)". This study contributes to the development of theories related to core competencies of graduate students in science and engineering, and has practical significance as a basis for a data-driven competency-based graduate education system.

• Communications of Mathematical Education
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• v.31 no.3
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• pp.257-277
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• 2017

The purpose of this research is divide into two kinds. First, develop the mathematical modeling program for mathematically gifted students focused on Voronoi diagram and Delaunay triangulation, and then gifted teachers can use it in the class. Voronoi diagram and Delaunay triangulation are Spatial partition theory use in engineering and geography field and improve gifted student's mathematical connections, problem solving competency and reasoning ability. Second, after applying the developed program to the class, I analyze gifted student's core competency. Applying the mathematical modeling program, the following findings were given. First, Voronoi diagram and Delaunay triangulation are received attention recently and suitable subject for mathematics gifted education. Second,, in third enrichment course(Student's Centered Mathematical Modeling Activity), gifted students conduct the problem presentation, division of roles, select and collect the information, draw conclusions by discussion. In process of achievement, high level mathematical competency and intellectual capacity are needed so synthetic thinking ability, problem solving, creativity and self-directed learning ability are appeared to gifted students. Third, in third enrichment course(Student's Centered Mathematical Modeling Activity), problem solving, mathematical connections, information processing competency are appeared.

• Journal of The Korean Association For Science Education
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• v.32 no.8
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• pp.1356-1366
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• 2012

As the recent demand for human resources in science, technology, engineering, and mathematics (STEM), the development of professional STEM teacher is called worldwide. It is becoming a critical need in teacher education in order to educate student teachers, and prepare pre-service and beginning teachers for high quality of teaching competency. To promote the competency for $21^{st}$ century STEM teachers, the epistemology of technological pedagogical content knowledge (TPACK) is currently considered as the essential qualities of knowledge for highly qualified teachers. The aim of this study is explore the effect of case-based learning approach on TPACK competency of pre-service STEM teachers. In order to develop the pre-service teachers' competency regarding effective integration of technologies into teaching specific content areas, a series of innovative case study teaching in science and mathematics was presented to 43 participants of pre-service physics, chemistry, biology, mathematics, and computer teachers during a course of information and communication technology (ICT) in Education at Khon Kaen University, Thailand. After finishing a case presentation, the pre-service teachers were encouraged into a forum of critical open discussion by considering the potential impact of the case and the TPACK framework. They were investigated instructional design competency of using ICT tools into student learning process and their personal beliefs about ICT in educational process both before and after. The participant's reactions and learning was evaluated by using a self-reported questionnaire and an implementation log of content-specific learning process design, respectively. Results showed a change of their beliefs and the transformation of their TPACK competency in STEM teaching. In an effort to better serve the needs of high quality STEM teachers, the results of this study illustrated that the competency of TPACK could be particularly considered as a core attributes for future STEM teachers. By the way, case-based learning approach can play an effective part in preparing and professing the TPACK competency for STEM teachers.

• Journal of the Korean Society of Marine Environment & Safety
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• v.26 no.6
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• pp.665-673
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• 2020

Mokpo National Maritime University's Maritime College operates education and training programs that allow students to adapt to the specifics of ships and the oceans. The purpose of this study is to investigate the effect of student satisfaction on core competencies and self-directed competency through the operation of socially customized education programs. We surveyed the leaders in industry-university cooperation+ education programs, and selected TALK+, an education program capable of statistical analysis, as the focus of our analysis. The TALK+ program connects people in charge of communication with those in charge of reflecting the peculiarities of maritime universities. Data were collected using satisfaction surveys that returned 259 results. These were analyzed using a 5-point Likert scale that showed a high level of satisfaction with an average of 4 points or more. The satisfaction level showed that there is positive correlation between satisfaction levels and core competency and self-directed competency. In addition, a linear regression analysis was performed, and the results showed that satisfaction has a statistically significant effect on the improvement of core competencies and self-directed competencies (p<0.001). Through this study, it was confirmed that efforts to improve the satisfaction level and develop various comparisons method and programs are necessary.

• Journal of Engineering Education Research
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• v.21 no.6
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• pp.63-73
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• 2018

This research aims to analyze core competencies of engineering students in Korea as well as to explore the application plans of extracurricular activities(hereafter, ECA) and programs in order to enhance their core competencies. Participation in ECA has long been recognized as having positive benefits and impacts upon students. To achieve the purpose of this study, first, we investigated whether there were differences between core competencies in undergraduates according to majors, gender and grades. 'Core competencies', first introduced in management theory as 'core competency' can be defined as personal attributes or underlining characteristics, capable of delivering a role or job. 'Core competencies' has received particular attention in recent years and there has been much related research (domestic and foreign) combined with diverse factors. However, few studies have addressed the question on engineering student's core competencies as well as the ways of their enhancement. This study was conducted with a total of 286 students, and core competencies have been measured online, through K-CESA. Our findings show that firstly, there were significant differences in undergraduate students' core competencies by majors. Engineering students scored significantly lower in core competencies overall. Second, there was no significant difference in students' core competencies by gender and grade. Third, there was a significant correlation among components of core competencies. Finally, there was a significant correlation between core competencies and grades(GPA, grades in major subject & liberal arts subject), rather levels in the correlation were low. Furthermore, the study suggested that the appropriate application of extracurricular activities would enhance core competencies of students.

• Journal of Practical Engineering Education
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• v.13 no.2
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• pp.243-249
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• 2021

It has been determined the 6 core competencies of our university students. Among them, it was judged that the student's convergence thinking ability and self-development ability were insufficient. To enforce the two insufficient abilities, an engineering-related major collage course was newly established in the form of an intensive coursework. The course was conducted as a shared curriculum between division/departments. For each of the first and second semesters in the 2020, 54 students from two completion groups (Department of Electrical and Electronic Control Engineering; 26, Optical Engineering; 28) were the subjects of the survey, the survey results of 20 common questions were comprehensively analyzed. As the result, more than 75% of the respondents were positive about free online learning at any time and place. And if additional interactive activities and team teaching method are reinforced during recorded audio and video contents learning material, It is confirmed that the attempted intensive course can maximize the learning effect.

• Journal of Practical Engineering Education
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• v.14 no.1
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• pp.61-74
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• 2022

Recently, youth unemployment, especially the unemployment problem of university graduates, has emerged as a social problem. Unemployment of university graduates is both a pan-national issue and a university-level issue, and each university is making many efforts to increase the employment rate of graduates. In this study, we present a model that predicts employment availability of D-university graduates by utilizing Machine Learning. The variables used were analyzed using up to 138 personal information, admission information, bachelor's information, etc., but in order to reflect them in the future curriculum, only the data after admission works effectively, so by department / student. The proposal was limited to the recommended ability to improve the separate employment rate. In other words, since admission grades are indicators that cannot be improved due to individual efforts after enrollment, they were used to improve the degree of prediction of employment rate. In this research, we implemented a employment prediction model through analysis of the core ability of D-University, which reflects the university's philosophy, goals, human resources awards, etc., and machined the impact of the introduction of a new core ability prediction model on actual employment. Use learning to evaluate. Carried out. It is significant to establish a basis for improving the employment rate by applying the results of future research to the establishment of curriculums by department and guidance for student careers.

• Journal of Practical Engineering Education
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• v.14 no.2
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• pp.267-277
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• 2022

Achievement at university is recognized in a comprehensive sense as the level of qualitative change and development that students have embodied as a result of their experience in university education. Therefore, the academic achievement of university students will be given meaning in cooperation with the historical and social demands for diverse human resources such as creativity, leadership, and global ability, but it is practically an indicator of the outcome of university education. Measurement of academic achievement by such credits involves many problems, but in particular, standardization of academic achievement by credits based on evaluation methods, contents, and university rankings is a very difficult problem. In this study, we present a model that uses machine learning techniques to predict whether or not academic achievement is excellent for D-University graduates. The variables used were analyzed using up to 96 personal information and bachelor's information such as graduation year, department number, department name, etc., but when establishing a future education course, only the data after enrollment works effectively. Therefore, the items to be analyzed are limited to the recommended ability to improve the academic achievement of the department/student. In this research, we implemented an academic achievement prediction model through analysis of core abilities that reflect the philosophy, goals, human resources image, and utilized machine learning to affect the impact of the introduction of the prediction model on academic achievement. We plan to apply the results of future research to the establishment of curriculum and student guidance conducted in the department to establish a basis for improving academic achievement.