• Journal of Fisheries and Marine Sciences Education
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• v.21 no.1
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• pp.16-27
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• 2009

The purpose of this study was to develop of learning strategy scale for college students. This study further classified several sub-areas and defined each concepts of learning strategy. Based upon the classification of each sub-areas, tentative test items were developed through the verification of validity by three professionals. A pilot study of the developed scale was administered to 239 college students. And the research collected major data from 1,012 college students. Data were analyzed to obtain item quality, reliability, and validity analysis. The results of this study were as follows. The scale for learning strategy was defined by eight factors and they were 'self-management strategy', 'examination-readiness strategy', 'cognitive strategy', 'memorizing strategy', 'reporting strategy', 'resource-utilization strategy', 'self-regulated strategy', 'cooperative learning strategy'. The results of the confirmatory factor analysis proved the eight factors in the learning strategy. And criterion validity evidence was also obtained from a correlation analysis of the level of academic achievement.

• Journal of Fisheries and Marine Sciences Education
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• v.29 no.1
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• pp.180-187
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• 2017

The purpose of this research is to analyze the relationship between using computer for learning and subjective achievement in high school. It is also to explore the relationship among gender, school type, subjective achievement and computer use for learning. We conduct structural equational modeling analyses using Korean Child Youth Panel Study (KCYPS) data with 1st grade middle school students panel. We found these results: (a) Using computer for learning effects on the subjective achievement of 3rd grade high school students. (b) Girls more use computer for the purpose of learning than boys during high school. (c) School type has an effect on using computer for learning in high school significantly. From these results, some strategies and guides are suggested in the use of computer for learning.

• Journal of Fisheries and Marine Sciences Education
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• v.26 no.1
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• pp.148-155
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• 2014

The purpose of this research was to analyze the effects of smart learning. By using meta analysis method, twenty MA and Ph.D degree papers published from 2006 to 2013 were analyzed and 104 effect sizes were calculated. Followings were the results of the research: (a) Smart learning turned out to be more statistically effective comparing to traditional education. The total mean effect size was .886 and the value of U3 was 66.53%. (b) All effect size of sub dependent variables(ie, academic achievement, learning satisfaction, learning attitude) were also effective by adapting smart learning. (c) The moderated variables likes learner characteristics, learning content, and interaction had high effect sizes. Operation system variable had a low effect size but it was not significant.

• Phonetics and Speech Sciences
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• v.3 no.3
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• pp.91-98
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• 2011

In this paper, a multi-channel speech enhancement method using the linearly constrained minimum variance (LCMV) algorithm and a variable learning rate control is proposed. To control the learning rate for adaptive filters of the LCMV algorithm, the direction of arrival (DOA) is measured for each short-time input signal and the likelihood function of the target speech presence is estimated to control the filter learning rate. Using the likelihood measure, the learning rate is increased during the pure noise interval and decreased during the target speech interval. To optimize the parameter of the mapping function between the likelihood value and the corresponding learning rate, an exhaustive search is performed using the Bark's scale distortion (BSD) as the performance index. Experimental results show that the proposed algorithm outperforms the conventional LCMV with fixed learning rate in the BSD by around 1.5 dB.

• Speech Sciences
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• v.10 no.4
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• pp.63-71
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• 2003

This study aims to experiment on learning French intonation, based on the visualization of melody, which was employed in the early sixties to reeducate those with communication disorders. The visualization of melody in this paper, however, was used to the foreign language learning and produced successful results in many ways, especially in learning foreign intonation. In this paper, we used the PitchWorks to visualize some French intonation samples and experiment on learning intonation based on the bitmap picture projected on a screen. The students could see the melody curve while listening to the sentences. We could observe great achievement on the part of the students in learning intonations, as verified by the result of this experiment. The students were much more motivated in learning and showed greater improvement in recognizing intonation contour than just learning by hearing. But lack of animation in the bitmap file could make the experiment nothing but a boring pattern practices. It would be better if we can use a sound analyser, as like for instance a PitchWorks, which is designed to analyse the pitch, since the students can actually see their own fluctuating intonation visualized on the screen.

• Journal of Fisheries and Marine Sciences Education
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• v.25 no.3
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• pp.643-660
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• 2013

The numbers of learning underachievers in college are gradually increasing. As a result, the need for extracurricular programs to increase learning in college is also growing. The purpose of this study was to analyze factors of learning difficulty and develop a model of learning consulting for college underachievers. This study also aimed to evaluate this model's validity. Using both 56 subscription forms of college underachievers and three sets of focus group interviews at B university, we found that students had difficulties in goal and career setting, management of grades and tests, learning methods, time management, failure overcome ability, lack of learning habit sustaining power and learning motivation, and so on. We developed a model of learning consulting for college underachievers based on these factors and applied the model to evaluate it's validity, testing it on 31 underachievers currently enrolled in college, five times every week. Let we say in conclusion that this model of learning consulting had positive effects on changing college underachiever's character, emotion, motivation, and behavior towards learning.

• Journal of Fisheries and Marine Sciences Education
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• v.24 no.2
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• pp.146-165
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• 2012

The purpose of this study is development of learning coaching program that is grafted onto advantage of Self-directed learning and coaching intended for Youth-After-School-Academy children and analysis the effect on self-efficacy and Self-directed learning ability from this program. The program of this study is developed on the base of Seels & Richey's 'ADDIE Model'. In order to verify the effect of this study, two times tests were carried out on 14 persons of the experimental group and the control group respectively, before and after the program was performed. The MANCOVA & ANCOVA was done on the difference between the post-test results of the experimental group and the control group. Findings of this study might be summarized as follows: First, the post-test result in the experimental group on self-efficacy was meaningfully higher than in the control group. Second, on Self-directed learning ability the result in the experimental group was also higher than in the control group. Therefore, learning coaching program impacted on self-efficacy and Self-directed learning ability of Youth-After-School-Academy children. This program that aim to discover the potential on learning, expect to be effective for children education of today when pursue Self-directed learning ability and creativity.

• Journal of Fisheries and Marine Sciences Education
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• v.28 no.2
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• pp.582-595
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• 2016

Effects of learning variables on academic achievement were major goal of this study. The differences of learning emotions, attitudes, flow and major satisfaction by grades of college students in medical school were proposed to conduct. Participants of this study consisted of 194 students of 1st and 2nd grade plus 121 students of 3rd and 4th grade in medical school. They completed the survey questionnaires composed of learning emotions, attitudes, flow and major satisfaction. Collected data were analyzed by t-test and stepwise multiple regression. Two kinds of results achieved as follows: First, there were differences of negative and positive emotions, and learning attitudes but were found no differences of learning flow and major satisfaction by grades. Second, there were significant effects of learning emotions and attitudes on academic achievement and also found differences of variables that affect academic achievement by grades. Based on these results, we think necessitate of considering learning emotions and behaviors in developing training programs and students support systems for medical school are obliged.

• Journal of the Korean Society of Radiology
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• v.15 no.1
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• pp.15-20
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• 2021

CT is important role in the medical field, such as disease diagnosis, but the number of examination and CT images are increasing. Recently, deep learning has been actively used in the medical field, and it has been used to diagnose auxiliary disease through object detection during deep learning using medical images. The purpose of study to evaluate accuracy by detecting kidney and vertebrae during abdominal CT using object detection deep learning in YOLOv3. As a results of the study, the detection accuracy of the kidney and vertebrae was 83.00%, 82.45%, and can be used as basic data for the object detection of medical images using deep learning.

• Journal of Fisheries and Marine Sciences Education
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• v.28 no.3
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• pp.872-880
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• 2016

The purpose of this study is to find the research trends relating to flipped learning through keyword network analysis. For investigating this topic, final 100 papers (removed due to overlap in all 205 papers) were selected as subjects from the result of research databases such as RISS, DBPIA, and KISS. After keyword extraction, coding, and data cleaning, we made a 2-mode network with final 202 keywords. In order to find out the research trends, frequency analysis, social network structural property analysis based on co-keyword network modeling, and social network centrality analysis were used. Followings were the results of the research: (a) Achievement, writing, blended learning, teaching and learning model, learner centered education, cooperative leaning, and learning motivation, and self-regulated learning were found to be the most common keywords except flipped learning. (b) Density was .088, and geodesic distance was 3.150 based on keyword network type 2. (c) Teaching and learning model, blended learning, and satisfaction were centrally located and closed related to other keywords. Satisfaction, teaching and learning model blended learning, motivation, writing, communication, and achievement were playing an intermediary role among other keywords.