• Journal of Engineering Education Research
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• v.24 no.5
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• pp.53-64
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• 2021

The purpose of this study is to provide implications for designing and implementing non-face-to-face online classes at the College of Engineering in the post-corona era by analyzing the instructors' evaluations and experiences of non-face-to-face online classes operated in the COVID-19 pandemic. According to the overall evaluation results of non-face-to-face online classes from instructors at the College of Engineering, 'instructional design' was the highest among the five areas including instructional design, learning management, learning support, learning evaluation, and instructional outcomes. In addition, the effectiveness of non-face-to-face online experimental or practical classes was found to be relatively low. The results of this study imply that the instructors need to consider several instructional strategies such as active interaction with learners, clear explanation, and the use of technology in non-face-to-face online engineering classes.

• Computers and Concrete
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• v.23 no.4
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• pp.255-265
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• 2019

The potential of using genetic programming to predict engineering data has caught the attention of researchers in recent years. The present paper utilized weighted genetic programming (WGP), a derivative model of genetic programming (GP), to model the compressive strength of concrete. The calculation results of Abrams' laws, which are used as the design codes for calculating the compressive strength of concrete, were treated as the inputs for the genetic programming model. Therefore, knowledge of the Abrams' laws, which is not a factor of influence on common data-based learning approaches, was considered to be a potential factor affecting genetic programming models. Significant outcomes of this work include: 1) the employed design codes positively affected the prediction accuracy of modeling the compressive strength of concrete; 2) a new equation was suggested to replace the design code for predicting concrete strength; and 3) common data-based learning approaches were evolved into knowledge-based learning approaches using historical data and design codes.

• International Journal of Contents
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• v.15 no.3
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• pp.39-46
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• 2019

This study aimed to develop a peer-assisted learning (PAL) program for use in a core nursing skills education course and to investigate the effects of the education program on three key outcomes. A comparative study was conducted through the division of students of a core nursing skills education program into a treatment group and control group. After the programs, self-efficacy, confidence and satisfaction were compared between the groups. The comparison of these three factors indicated that the related scores were significantly higher in the treatment group receiving the education program with the PAL method than those of the control group receiving traditional education. We concluded that self-efficacy gave the nursing students the confidence that they could successfully perform their tasks and motivation to learn. Education programs using the PAL method are suggested as an effective method for the acquisition of skills among nursing students.

• Journal of Engineering Education Research
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• v.25 no.5
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• pp.55-67
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• 2022

Distance learning has become an efficient tool and is being widely used at work and in school. This research presents the results of a project-oriented entrepreneurship course taught both in classroom and online for a period of 3 years before and after the pandemic caused by COVID-19. Despite the various challenges, the outcome demonstrated that the students were able to attain required knowledge and capabilities in the online learning environment. As such, this paper discusses effective ways to blend in distance learning components so that both instructors and students can benefit from Internet-based education technologies. In the future, both face-to-face and virtual project work and study are likely to get integrated into a 'hyflex' class, which is flexible, on-offline education.

• Journal of Advanced Navigation Technology
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• v.27 no.4
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• pp.391-395
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• 2023

Helicopter accidents due to spatial disorientation in low visibility conditions continue to persist as a major issue. These incidents often stem from human error, typically induced by stress, and frequently result in fatal outcomes. This study employs machine learning to analyze flight data and evaluate the efficacy of a flight illusion detection algorithm, laying groundwork for further research. This study collected flight data from approximately 20 pilots using a simulated flight training device to construct a range of flight scenarios. These scenarios included three stages of flight: ascending, level, and descent, and were further categorized into good visibility conditions and 0-mile visibility conditions. The aim was to investigate the occurrence of flight illusions under these conditions. From the extracted data, we obtained a total of 54,000 time-series data points, sampled five times per second. These were then analyzed using a machine learning approach.

• Research in Mathematical Education
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• v.27 no.1
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• pp.111-127
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• 2024

There is an increasing concern in the United States regarding the workforce's ability to maintain a competitive position in the global economy. This has led to an increased interest in effective science, technology, engineering, and mathematics (STEM) education. The purpose of this study was to investigate the effect of STEM project-based learning (PBL) on students' self-regulation and motivation to learn. Secondary students (n = 60) participated in a STEM summer camp in which STEM PBL was utilized. Results showed that students increased their self-regulation skills (t = 2.83, df = 59, p = .004) and motivation (t = 2.25, df = 59, p =.004), with Cohen's d effect sizes of 0.395 and 0.404, respectively. Student-centered learning and peer collaboration while solving real-world problems were likely the greatest contributing factors to the outcomes. Educators should utilize the results to provide opportunities for students to experience STEM PBL.

• Journal of Engineering Education Research
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• v.16 no.3
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• pp.3-9
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• 2013

It is very difficult for students to understand "Computer System Architecture" written by M. Morris Mano only through theoretical education. This study has developed DigCom as a computer architecture practice kit to make it easier for students to understand computer operations. The practice kit operates in the same manner as the "simple computer" described in Computer System Architecture. The purpose of this study is to examine whether using DigCom is effective in improving learning outcomes. For the purpose, t-test and two-way ANOVA were used to determine if there is any difference in learning outcomes between the experimental group of students who used DigCom and the control group who took the course in a traditional setting without using DigCom. The main conclusions of the study are as follows: Students understand computer operations better when DigCom is used in class.

• Journal of Gastric Cancer
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• v.12 no.3
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• pp.156-163
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• 2012

Purpose: Laparoscopic gastrectomy is a widely accepted surgical technique. Recently, robotic gastrectomy has been developed, as an alternative minimally invasive surgical technique. This study aimed to evaluate the question of whether robotic gastrectomy is feasible and safe for the treatment of gastric cancer, due to its learning curve. Materials and Methods: We retrospectively reviewed the prospectively collected data of 100 consecutive robotic gastrectomy patients, from November 2008 to March 2011, and compared them to 282 conventional laparoscopy patients during the same period. The robotic gastrectomy patients were divided into 20 initial cases; and all subsequent cases; and we compared the clinicopathological features, operating times, and surgical outcomes between the three groups. Results: The initial 20 robotic gastrectomy cases were defined as the initial group, due to the learning curve. The initial group had a longer average operating time ($242.25{\pm}74.54$ minutes vs. $192.56{\pm}39.56$ minutes, P>0.001), and hospital stay ($14.40{\pm}24.93$ days vs. $8.66{\pm}5.39$ days, P=0.001) than the experienced group. The length of hospital stay was no different between the experienced group, and the laproscopic gastrectomy group ($8.66{\pm}5.39$ days vs. $8.11{\pm}4.10$ days, P=0.001). The average blood loss was significantly less for the robotic gastrectomy groups, than for the laparoscopic gastrectomy group ($93.25{\pm}84.59$ ml vs. $173.45{\pm}145.19$ ml, P<0.001), but the complication rates were no different. Conclusions: Our study shows that robotic gastrectomy is a safe and feasible procedure, especially after the 20 initial cases, and provides a satisfactory postoperative outcome.

• The Journal of Korean Academic Society of Nursing Education
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• v.24 no.3
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• pp.235-249
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• 2018

Purpose: The purpose of this study was to investigate how interprofessional education has been designed, implemented, and evaluated in undergraduate programs in nursing through a systematic review. Methods: The literature was searched using the PubMed, CINAHL, EMBASE, and Cochrane central databases to identify interventional studies including teaching-learning activities among nursing students and other disciplines in English between January 2000 and May 2017. Thirty studies were selected for the analysis. Results: Twenty-four studies out of 30 were designed as a pre-post, no control group, quasi-experimental study design. Interprofessional education learners were primarily engaged in medicine, physical therapy, dentistry, occupational therapy, pharmacy, and respiratory therapy. Patient care related activity was the most frequently selected topic and simulation was the most common teaching-learning method. Evaluation of learning outcomes was mainly based on the aspects of teams and collaboration, professional identity, roles and responsibilities, patient care, and communication skills. Nursing students in 26 out of the 30 reviewed studies were found to benefit from interprofessional education, with outcome effects primarily related to changes in learning outcomes. Conclusion: The development and integration of interprofessional education with collaborative practices may offer opportunities in nursing education for training professional nurses of the future.

• Korean Medical Education Review
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• v.13 no.2
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• pp.9-23
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• 2011

This study aimed to investigate the effects of tutors' domain and teaching expertise on learning outcomes in a problem based learning (PBL) environment. Four tutors and 25 first-year medical students participated in this study. Tutors' domain expertise was classified by clinical or non-clinical which is basic medicine and teaching expertise by previous tutoring experiences or not. The results showed a statistically significant difference in achievement depending on the tutors' domain expertise. Students grouped with an experienced clinical tutor attained higher achievement scores than those with an experienced non-clinical tutor, while those with an inexperienced non-clinical tutor attained higher scores than those with both inexperienced clinical tutors and experienced non-clinical tutors. Students with clinical medicine tutors also showed higher satisfaction scores than those with non-clinical medicine tutors. In particular, students grouped with an experienced clinical tutor gained higher satisfaction scores than those with inexperienced non-clinical tutors, and among the inexperienced tutors, students tutored by a clinical tutor showed higher scores than those with a non-clinical tutor. Different intervention styles were also found depending on tutors' domain and teaching expertise. Experienced tutors gradually reduced the tutoring intervention, whereas the novice provided more as the semester proceeded. Moreover, experts with a clinical medicine degree preferred direct teaching, whereas, non-clinical tutors preferred facilitating. Also, experienced tutors in the clinical medicine facilitated critical awareness than the other tutors. These results show the importance of developing a program for novice tutors to improve PBL in medical education.