This study aims to develop and implement extra-curricular program applying project-based learning (PBL) and to find out its effectiveness. The research was conducted from March 2021 to December 2021 according to the ADDIE model. Surveys, t-test and descriptive statistics were also conducted. The results of the study are as follows. First, project-based learning was applied to the extra-curricular program by reflecting the characteristics of students of University A and the requirements of the person in charge of the teaching and learning center. Second, project tasks related to education of universities were proposed. Third, the programs were designed as three common courses and four consulting courses. Fourth, the program was conducted with 32 students for two months. Fifth, the post-test results of problem-solving skills rose to 0.9 points compared to the pre-test but there was no significant difference, while the post-test results of communication skills were 0.5 points lower than before and statistically significant. Sixth, the satisfaction survey result was high with a rating of 4.59. Lastly, educational implications are also discussed.

This paper is a basic study of college of engineering freshmen's adaptation to college life, and the relationship between sub-variables of academic self-efficacy, learning immersion, and academic curiosity is analyzed. And based on the results, a plan to support new students of the College of engineering is suggested.

This study evaluated the engineering students' ethical sensitivity to an AI emotion recognition robot scenario and explored its characteristics. For data collection, 54 students (27 majoring in Convergence Electronic Engineering and 27 majoring in Computer Software) were asked to list five factors regarding the AI robot scenario. For the analysis of ethical sensitivity, it was checked whether the students acknowledged the AI ethical principles in the AI robot scenario, such as safety, controllability, fairness, accountability, and transparency. We also categorized students' levels as either informed or naive based on whether or not they infer specific situations and diverse outcomes and feel a responsibility to take action as engineers. As a result, 40.0% of students' responses contained the AI ethical principles. These include safety 57.1%, controllability 10.7%, fairness 20.5%, accountability 11.6%, and transparency 0.0%. More students demonstrated ethical sensitivity at a naive level (76.8%) rather than at the informed level (23.2%). This study has implications for presenting an ethical sensitivity evaluation tool that can be utilized professionally in educational fields and applying it to engineering students to illustrate specific cases with varying levels of ethical sensitivity.

In order to improve students' interest, class participation and class comprehension in engineering theory classes, a class applying review games as Jinjinga, Bingo, etc. were designed and developed. Through applying them to three engineering theory subjects, the specific effects of the strategy on students' understanding, interest, participation, and academic achievement were analyzed and the usefulness of each review game strategy was analyzed. Analyzing class data over the past 11 years, there was a clear correlation between performance of the students in the review game and their actual grades, which was found to be greater than the negative effect of absence rate on the test performance or grades. This study also researched students' perceptions compared to other general subjects not applying the review games. The results of a survey of the students who took the review game class showed the usual amount of usual studying hours increased, the burden of examination or the amount of studying hours for preparing the exam was reduced, and the class interest and achievement significantly increased compared to other subjects in the same major.

This research aims to examine the relationships between empathy and attitudes toward curricula integration of engineering students. To achieve this goal, first, differences in empathy and attitudes toward curricula integration among engineering students were examined. Second, the effects of attitudes toward curricula integration, as perceived by engineering undergraduate students, on empathy were explored. A total of three hundred and two engineering undergraduate students from three universities in Korea responded to survey based on a two-variables scale. The findings were that, firstly, a positive correlation among sub-factors of empathy and attitudes toward curricula integration was identified. Secondly, attitudes toward curricula integration could explain about 12% of empathy. The practical implications of these findings are discussed herein, with particular attention on education for promotion of empathy for engineering students.

This paper aims to prepare basic design education materials explaining the design process of egg drop device by incorporating critico(-creative) thinking. To this end, in this paper, by utilizing the creative problem solving process and the elements and standards of critical thinking, 'the five-step creative engineering design education guidelines' have been prepared so that engineering freshmen can effectively participate in engineering design projects without major knowledge. We would like to apply them to the egg drop device design. The egg drop device design, which is experiment to make and drop a drop device that can protect an egg from breaking when it is dropped freely from high places, is an engineering design project that is widely used not only in elementary, middle and high school science events but also in engineering education courses under the name of 'stunt egg'. Perhaps the basic design education material on the egg drop device design incorporating critico(-creative) thinking in this paper will contribute to incorporating critico(-creative) thinking into engineering education, as well as to achieving the educational goals of the basic design subject.

In this study, the application of flipped learning methodology to thermodynamics in mechanical engineering was examined, and how university students view flipped learning and the effects of flipped learning were analyzed. To analyze the effects of flipped learning, pre-class survey, assessment on learning in pre-class, team activities during class, and post-class survey were conducted. The analysis was also conducted on 33 students who took the thermodynamics course in mechanical engineering, and the PARTNER flipped learning model was applied to the class. The results of this study are as follows; In the preliminary survey, the students expected that the flip-learning class with team activities and teaching between team members would be helpful in improving their learning. In addition, students recognized that cooperative learning through a team was helpful for learning. The case reflecting the result of pre-learning evaluation to the subject grades showed higher pre-learning evaluation results than the case not reflecting the result of the pre-learning evaluation to the subject grades, and it was found that the pre-learning evaluation was acting as a factor to promote learning in pre-class. In post-class survey, the satisfaction with the flipped learning class was high, indicating that the effectiveness of the flipped learning class applied to the thermodynamics class was excellent.

The purpose of this paper was to develop an instructional design model and checklist for AI education. Literature review was conducted to derive the structure of the instructional design model. And delphi survey was conducted twice to revise and improve the elements & items of the instructional design model and checklist and to confirm the content validity of both instructional design model and the checklist. As a result, an instructional design model consisting of three main steps(Analysis - Design & Development - Implementation & Evaluation) was suggested with a detail checklist which explained what teachers need to do in each step of this instructional development model when they prepare AI education using this instructional design model. Limitations and suggestions for further studies were presented at the end of this paper.

Due to COVID-19, all activities in society are emphasized non-face-to-face, and the educational environment is changing without exception. Looking at the results of the survey after conducting non-face-to-face education, there was a lot of rejection of non-face-to-face practical education. The biggest reason was that instructors were not familiar with the non-face-to-face education method, and feedback was not smooth during or after education. In particular, software practice education was not easy to share the software development environment, but communication and feedback on class contents and tasks were important. In particular, if face-to-face and non-face-to-face are alternately variable, it is not easy for practical education to be consistently connected. Even if non-face-to-face hands-on education is changed to face-to-face hands-on education, we will present a plan to use a data sharing system such as question-and-answer, assignment, practice content, and board content so that it can proceed smoothly. This study presents an efficient software education process that can provide learners with a software integrated practice environment based on a shared server, question-and-answer between instructors and learners, and share feedback on tasks. For the verification of the presented process, the effectiveness was confirmed through the survey results by applying the face-to-face/non-face-to-face education process to 220 trainees for 30 months in software education classes such as A university hands-on education, B company new employees, and ICT education courses.

The purpose of this study is to correlation analysis between technological problem-solving traits and engineering design competency. To this end, correlation analysis and regression analysis between technological problem-solving traits and engineering design competency were used to analyze the relationship between each other. To collect data on individual characteristics, technological problem-solving traits, and engineering design competency, a survey was conducted with university students. As a result of the analysis, there was no difference in engineering design competency by gender, but there was a difference in technological problem-solving traits. There was no difference in technological problem-solving traits by major, but there was a difference in engineering design competency. As a result of correlation analysis, the correlation was found. In the case of regression analysis, a statistically significant result was found in the problem-solving trait domain, and the regression analysis model was found to be suitable. The results of the analysis of differences in engineering design competency according to technological problem-solving traits showed that the effective problem solvers were significantly higher.