• Journal of Engineering Education Research
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• v.26 no.2
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• pp.32-44
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• 2023

This research aims to examine the role of writing self-efficacy in engineering students' writing metacognitive strategies and writing apprehension. To achieve this purpose, first, the relationships among writing self-efficacy, writing metacognitive strategies and writing apprehension were investigated. Second, the effects of writing self-efficacy, as perceived by engineering students, on writing metacognitive strategies as well as writing apprehension were explored. A total of 173 engineering students from one university in Korea responded to survey based on a three-variables scale. The findings were that, firstly, positive correlations between writing self-efficacy and writing metacognitive strategies were identified in terms of sub-factors of those two variables. Secondly, negative correlations between writing apprehension and writing self-efficacy, and between writing apprehension and writing metacognitive strategies, were identified in terms of sub-factors of those variables. Thirdly, writing self-efficacy predicted engineering students' writing metacognitive strategies' sub-factors and writing apprehension. The practical implications of these findings are discussed herein, with particular attention on education for promotion of writing self-efficacy and reduction of writing apprehension.

• Journal of Engineering Education Research
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• v.22 no.6
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• pp.64-73
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• 2019

The purpose of this study is to explore characteristics of engineering students' Interpersonal Problems, Emotional Clarity, and Empathic Ability compared with humanities and social sciences students. A total of 739 college students participated in the study (459 enginerring students and 280 humanities and social sciences students). We tested research question by employing the t-test. The result showed that engineering students have higher level of clarity of feelings, perspective taking, empathic concern and lower level of attention to feelings, personal distress than humanities and social sciences students. Moreover, engineering students showed lower level of cold, socially avoidant, exploitable problems than humanities and social sciences students. We dicussed that programs aiming at developing engineering students' emotional awareness and improving their interpersonal relationships should be provided.

• Journal of Practical Engineering Education
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• v.16 no.2
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• pp.251-257
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• 2024

After the pandemic, the world has brought about a society that connects to digital content faster. In the performing arts world, technology is also changing the production environment, content, and format of works. In addition, theatre and performances linked to digital media and virtual reality continue to be actively developed and increased. This paper first diagnoses how theater and acting education are meeting consumers(students) in a time when these changes progress rapidly. In the post-COVID-19 era, a crack began in the traditional method of education. We look at the existing problems of traditional education of theatre and acting in detail and look at the points of change from the changes in the virtual world and digital media environment. In conclusion, post-pandemic theater and acting education needs to shift to a consumer-centered paradigm.

• Journal of Engineering Education Research
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• v.25 no.5
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• pp.20-32
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• 2022

This research sought to investigate the relationships among self-leadership, social support and interpersonal competence of women engineering students. First, women undergraduate students' differences respecting self-leadership, social support and interpersonal competence were examined. Second, the relationships among self-leadership, social support and interpersonal competence were identified in terms of sub-factors of those three variables. Third, the effects of social support and interpersonal competence, as perceived by women undergraduate students, on self-leadership were explored. A total of 398 women undergraduate students from three universities in Korea responded to survey based on a three-variables scale. The findings were that, firstly, women engineering students scored lower in all of the three variables including self-leadership, social support and interpersonal competence, and that these major differences were statistically significant. Secondly, a positive correlation among self-leadership, social support and interpersonal competence was identified. Thirdly, it was determined that self-leadership was affected significantly by social support and interpersonal competence. The practical implications of these findings are discussed herein, with particular attention on education for promotion of self-leadership, social support and interpersonal competence.

• Journal of Practical Engineering Education
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• v.14 no.1
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• pp.75-83
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• 2022

Most of the courses that teach the Python programming language are liberal arts courses that all students in general universities must complete. Through this, non-major students who have learned the basic programming process based on computational thinking are strengthening their convergence capabilities to apply SW in various major fields. In the previous research results, various evaluation methods for understanding the concept of computational thinking and writing code were suggested. However, there are no examples of evaluation problems, so it is difficult to apply them in actual course operation. Accordingly, in this paper, a Python basic programming curriculum that can be applied as a liberal arts subject for non-majors is proposed according to the ADDIE model. In addition, the case of evaluation problems for each Python element according to the proposed detailed curriculum was divided into 1st and 2nd phases and suggested. Finally, the validity of the proposed evaluation problem was analyzed based on the evaluation scores of non-major students calculated in the course to which this evaluation problem case was applied. It was confirmed that the proposed evaluation problem case was applied as a real-time online non-face-to-face evaluation method to effectively evaluate the programming competency of non-major students.

• Journal of Engineering Education Research
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• v.18 no.6
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• pp.88-97
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• 2015

This is paper aims to figure out the way movies and engineering have communicated and the right direction for better communication between them. Engineering no longer should be treated as playing a key role when it comes to film making. Engineering is essential in making films look real. It means that movies gain credibility from utilizing engineering, which all other types of arts also seek after. Films can be resonated better through mutual communication with engineering. The paper takes a close look at emotional aspects to figure out what the new direction of communication between movies and engineering is. People's lives shown in films and the material world that engineering represents are mingled to attain the emotional oneness between the two. This can be easily observed in Japanese movies where robots and humans have a close relationship or recent films whose theme is emotional exchange among humans and robots. This kind of contact leads us to explore newly found humans' position that was brought about in the wake of development in engineering and existential conditions that humans need to have accordingly. Artificial intelligence and neurology sectors that the engineering field is today earnestly working on are in line with it. Therefore, this article seeks to find out the meaning and value of communication between movies and engineering when establishing the fresh mankind model based on emotions and pursuit of diversity.

• Journal of Engineering Education Research
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• v.16 no.5
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• pp.18-23
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• 2013

A curriculum is a measure of how high level of knowledge is educated to students affiliated to university institutions, and is used as an indicator evaluating usefulness of the university institutions. For this reason, Designing and assessing curricula is a critical to high education institutions. However, in the case of development and quality assessment of a curriculum with a traditional way, finding a right curriculum which a designer intends is a time consuming and error-prone process. Therefore, in order to improve these problems, we propose the curriculum design engine using SES (System Entity Structure) / DEVS (Discrete Event System Specification) Framework in this paper. The SES describes all possible combination of curricula for students. The DEVS framework provides a simulation environment for models created from the SES by the students. The proposed engine will show appropriate curricula for students after a simulator appropriately filters students' requirement, according to conditions.

• Journal of Fisheries and Marine Sciences Education
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• v.24 no.1
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• pp.25-33
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• 2012

Though science and technology are evolving rapidly in recent years, the traditional science education has limits for students to be satisfied their interests and needs because they couldn't follow these speeds. STEAM as a education integrating science, technology, engineering, arts and mathematics has strengths of increasing interests and understandings in science and technology and improving integrated thinking and problem solving ability for leaners. In this study we analyze the elementary school curriculum and construct physics learning based on STEAM and develop a android application to increase interests in science and improve problem solving ability. In the future, we need to analyze and develop the curriculum and contents for the STEAM education.

• Journal of Engineering Education Research
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• v.26 no.6
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• pp.3-18
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• 2023

The purpose of this study is to identify the difference between the current retention level and the required level of engineering students' career competency that they think they need based on their perceptions. Ultimately, the results of this study are used as basic data when designing the major/general education program and the curricular/extra-curricular career program. The task of this study is to identify the difference between the current retention level and the required level of engineering students' career competency. And based on this, it is to confirm the educational needs of engineering students for the career competency. For this purpose, literature research on career competency education in universities was reviewed in the theoretical background. Next, previous studies on career competency and sub-competence derived from career competency-related studies and detailed questions were analyzed. Based on this, an initial evaluation tool for career competency of engineering students was developed. Finally, through expert review, a career competency evaluation tool with a total of 43 items in 10 competency groups was developed. A career competency evaluation questionnaire was conducted for 197 engineering students who participated in the 2022 Engineering Education Festa, and as a result of the IPA analysis, 'global competency' was found to be the competency with the largest difference between importance and execution. Next, 'major job competency' and 'career development competency' appeared in order. Reflecting the results of this study, it is expected that mutually organic design of competency-based liberal arts curriculum and major curriculum that can cultivate global competency, major job competency, and career development capability will be carried out through learning activities and field practice.

• Journal of Practical Engineering Education
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• v.16 no.5_spc
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• pp.725-731
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• 2024

With the emergence and advancement of artificial intelligence, the world is rapidly changing. As artificial intelligence is applied across various fields of society, individuals must develop the ability to understand and effectively utilize it. Consequently, interest in AI literacy has been growing. This study was conducted to measure AI literacy among pre-service secondary school teachers. An online survey was administered to 105 students enrolled in the College of Education at A University. Data analysis included descriptive analysis, independent samples t-test, and one-way ANOVA. The results are as follows. First, an analysis of the mean differences in AI literacy sub-factors and overall scores by gender revealed that female pre-service teachers scored higher than males in AI understanding, AI usage, AI application, and AI literacy overall, with these differences being statistically significant. Second, based on the number of courses completed related to teaching methods, there were statistically significant differences in AI creation and AI identification. Specifically, pre-service teachers who had not completed any relevant courses scored lower in AI creation and AI identification compared to those who had completed at least one course. Third, the overall level of AI literacy among pre-service secondary school teachers was found to be relatively low. Based on these findings, implications for teacher education are discussed.