• 한국지구과학회지
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• 제26권6호
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• pp.469-476
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• 2005

본 연구에서는 7차 교육과정에서 크게 대두되고 있는 새로운 형태의 교수?학습방법의 한 형태인 e-Learning이 학습자의 파지에 어떠한 영향을 주는지 알아보고자 e-Learning을 이용하여 중학생들이 ‘지각의 물질’ 단원에서 장?단기 파지에 미치는 영향에 대해 알아보았다. 이를 위하여 경상남도 양산시의 중학교 1학년 2개 학급 72명을 대상으로 e-Learning을 활용한 수업 전-후에서 과학 학업 성취도와 e-Learning에 대한 인식을 조사해 본 결과는 다음과 같다. 첫째, e-learning 활용수업은 학습자의 단기파지에 효과를 나타내지 못하였다. 둘째, 장기파지에 미치는 효과는 유의수준 .05에서 유의미한 차이가 있는 것으로 나타났다. 셋째, e-Learning을 활용한 수업이 장기파지에 긍정적인 반응을 하는 것으로 나타났다.

• 공학교육연구
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• 제20권5호
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• pp.34-42
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• 2017

This study aimed to identify the causal relationships among self-regulated learning strategy, problem solving efficacy, task value and learning outcome, and mediation effect of self-regulated learning strategy in engineering capstone design course. The data were collected from 363 university students who enrolled in capstone design courses and analyzed using structural equation modeling method. The results were: first, problem-solving efficacy and task value exerted significant effects on self-regulated learning strategy. Second, self-regulated learning strategy exerted significant effects on learning outcome, but problem-solving efficacy and task value did not. Third, problem-solving efficacy and task value showed significant indirect effects on learning outcome, which confirmed that self-regulated learning strategy fully mediated between two exogenous variables and learning outcome.

• International Journal of Advanced Culture Technology
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• 제10권3호
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• pp.226-236
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• 2022

We compared and analyzed the changes in students' science grades and their effects on science grades by level (upper, middle, and lower) according to non-face-to-face and face-to-face teaching-learning. 66 students from A Middle School in Gyeongsangnam-do were selected for the study. As a result of analyzing the change in science grades according to the teaching-learning type, the average score of science grades by non-face-to-face teaching-learning was lower than the corresponding score of science grades of face-to-face teaching-learning. As a result of comparing the level of understanding of learning content according to the evaluation type (paper-written, study-paper) in non-face-to-face and face-to-face teaching-learning, the average scores of science grades by paper-written and study-paper evaluations in non-face-to-face teaching-learning were significantly low. In addition, as a result of comparing the effect on science grades by level according to the teaching-learning type, the average score of science grades of lower-ranked students in non-face-to-face teaching-learning was relatively low.

• Investigative Magnetic Resonance Imaging
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• 제23권2호
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• pp.81-99
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• 2019

Recently, deep learning methods have shown great potential in various tasks that involve handling large amounts of digital data. In the field of MR imaging research, deep learning methods are also rapidly being applied in a wide range of areas to complement or replace traditional model-based methods. Deep learning methods have shown remarkable improvements in several MR image processing areas such as image reconstruction, image quality improvement, parameter mapping, image contrast conversion, and image segmentation. With the current rapid development of deep learning technologies, the importance of the role of deep learning in MR imaging research appears to be growing. In this article, we introduce the basic concepts of deep learning and review recent studies on various MR image processing applications.

• 의학교육논단
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• 제17권1호
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• pp.5-9
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• 2015

A teaching hospital is a place where both patient care and learning occur together. To identify the role of the teaching hospital in an effective clerkship, we first determined the features of workplace learning and the factors that affect learning in the workplace, and then we proposed a role for the teaching hospital in the clinical clerkship. Features of learning in a clerkship include learning in context, and learning from patients, supervising doctors, others in the team, and colleagues. During the clerkship, medical students learn in three-way learner-patient-teacher relationships, and students' participation in the tasks of patient care is crucial for learning. Factors that influence learning in the workplace are associated with tasks, context, and learner. Tying the three factors together, we proposed a role for the teaching hospital in the three categories: involvement in the tasks of patient care, engagement in the medical team, and engagement in the learning environment and system. Supervising doctors and team members in a teaching hospital support students' deep participation in patient care, while improving the learning environment through organizational guidelines and systems. Gathering both qualitative and quantitative data for the evaluation of a teaching hospital is important.

• 유통과학연구
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• 제20권11호
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• pp.121-129
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• 2022

Purpose: Artificial intelligence is widely used, particularly in the popular neural network theory called Deep learning. The improvement of computing speed and capability expedited the progress of Deep learning applications. The application of Deep learning in education has various effects and possibilities in creating and managing educational content and services that can replace human cognitive activity. Among Deep learning, Deep fake technology is used to combine and synchronize human faces with voices. This paper will show how to develop e-Learning content videos using those technologies and open-source tools. Research design, data, and methodology: This paper proposes 4 step development process, which is presented step by step on the Google Collab environment with source codes. This technology can produce various video styles. The advantage of this technology is that the characters of the video can be extended to any historical figures, celebrities, or even movie heroes producing immersive videos. Results: Prototypes for each case are also designed, developed, presented, and shared on YouTube for each specific case development. Conclusions: The method and process of creating e-learning video contents from the image, video, and audio files using Deep fake open-source technology was successfully implemented.

• Educational Technology International
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• 제18권2호
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• pp.249-263
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• 2017

The purpose of this study was to examine whether respondents showed gender differences in life- learning competency, self-directed learning ability, problem-solving ability, and academic achievement and to identify relationships among variables of university students in the context of higher education. To address those goal, the data set was analyzed that nationally collected from Korea Youth Competency Measurement and International Comparative Research III by National Youth Policy Institute in South Korea. 680 samples were used in the study that were 343 males and 337 females of university students. As results, statistically significant difference was showed in the participants' gender. Male university students were higher score than female university students in All variables. Also, learning agility in life-learning competency was strongly related to self-directed learning ability and problem-solving. Thinking skills in life-learning competency was strongly related to academic achievement in university students in higher education. In terms of learning strategy in the context of higher education, some suggestions have been made for university students.

• 한국과학교육학회지
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• 제19권4호
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• pp.595-603
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• 1999

The purpose of this study was to develop the computer assisted instruction program in multimedia environment, to examine the relative effects of two types of multimedia learning on science achievement and attitude towards science learning and to investigate the effects of treatment and students' learning ability. The results of this study were summarized as follows: 1. On science achievement; The multimedia learnings were more effective than the traditional one. Difference between multimedia learning I (through individualistic learning) and multimedia learning II(through peer interaction) was not significant. There was not interaction effect of treatment and students' learning ability. 2. On attitude towards science learning; The multimedia learnings were more effective than the traditional one. The multimedia learning I (through individualistic learning) was more effective than the multimedia learning II (through peer interaction). There was no interaction of treatment and students' learning ability. 3. On students' perceptions on multimedia learning; The students in the multimedia classes showed the multimedia learning were good in causing interest. making students absorbed in studies, and giving many learning materials, but not good in a couple of points such as making students bored and not explaining in detail.

• 한국과학교육학회지
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• 제24권3호
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• pp.459-467
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• 2004

이 연구는 초등학교 과학 수업에 대본을 사용한 협동학습의 적용하여 그 효과를 조사하였다. 6학년 3개 학급 95명을 대상으로 '여러 가지 기체' 단원 총 9차시에 대하여 전통수업, 협동수업, 대본을 사용한 협동수업을 실시한 후, 학업 성취도, 과학 학습 동기, 과학 수업에 대한 태도를 비교하였다. 이원 공변량 분석 결과, 학업 성취도에서 수업 처치와 성취 수준 사이에 유의미한 상호작용 효과가 나타났다. 성취 수준 하위 학생들의 학업 성취도 점수는 대본을 사용한 협동학습 집단이 다른 집단보다 유의미하게 높았다. 또한 과학 학습 동기와 과학 수업에 대한 태도 점수도 대본을 사용한 협동학습 집단이 유의미하게 높았다.

• 한국산업융합학회 논문집
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• 제26권6_3호
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• pp.1205-1213
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• 2023

This study delves into methods for enhancing the power efficiency of air compressor systems, with the primary objective of significantly impacting industrial energy consumption and environmental preservation. The paper scrutinizes Shinhan Airro Co., Ltd.'s power efficiency optimization technology and employs machine learning ensemble models to simulate power efficiency optimization. The results indicate that Shinhan Airro's optimization system led to a notable 23.5% increase in power efficiency. Nonetheless, the study's simulations, utilizing machine learning ensemble techniques, reveal the potential for a further 51.3% increase in power efficiency. By continually exploring and advancing these methodologies, this research introduces a practical approach for identifying optimization points through data-driven simulations using machine learning ensembles.