• Journal of the Korean School Mathematics Society
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• v.17 no.1
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• pp.1-21
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• 2014

This research aims to analyze the process of selecting, maintaining, and changing the method of learning mathematics by middle school students from the perspective of self-regulated learning ability, in order to help students to select a rational method of studying. For this purpose, we defined 'assisted-learning' as all kinds of education that education demanders receive to supplement their regular school studies. As results of the research, it was found as follows. First, the students with high self-regulated learning ability selected, maintained, and changed their assisted-learning based on their concrete decision and rational reasons regarding the effect of their learning process and assisted-learning to themselves. Second, the students with high self-regulated learning ability had tendency to be very active participation in class than the students with low ability. Third, the students with high self-regulated learning ability felt the effect of assisted-learning on their learning mathematics, and felt the enhancement of their interest and confidence. Also, it is notable that the students selected 'their own willingness to study' as a major factor for the success of assisted-learning.

• Journal of Engineering Education Research
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• v.24 no.3
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• pp.21-31
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• 2021

Flipped learning, which involves listening to lectures at home and performing dynamic group-based problem-solving activities in the classroom, is recently evaluated as a learner-centered teaching method, and interest and applications in engineering education are increasing. Therefore, this study aims to provide practical guidelines for successful application through empirical research analysis on the use of flipped learning in domestic engineering education. Through the selection criteria and keyword search, a systematic review of 36 articles was conducted. As a result of the analysis, flipped learning research in engineering education has increased sharply since 2016, focusing on academic journals and reporting its application cases and effects. Most of the research supported that flipped learning was effective not only for learners' learning activities(e.g., academic achievement, satisfaction, engagement, learning-flow, interaction), but also for individualized learning and securing sufficient practice time. It was often used in major classes with 15 to less than 50 students, especially in computer-related major courses. Most of them consisted of watching lecture videos, active learning activities, and lectures by instructors, and showed differences in management strategies for each class type. Based on the analysis results, suggestions for effective flipped learning management in future engineering education were presented.

• The Journal of Korean Academic Society of Nursing Education
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• v.10 no.1
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• pp.20-32
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• 2004

Purpose: The purpose of this study is to investigate undergraduate nursing students' volunteering activities, volunteering motivation- needs, sociability and satisfaction in their major for those who take the social service activities, and to provide basic information for operating the credit system of social service activity as service-learning system. Method: This study is a descriptive study and the participants were 363 of 2nd- and 3rd-year students at a nurses' college in I City, who completed the basic course of volunteering, and the survey was conducted during April 2004. Result: The group who participated in counseling service as a volunteering activity was high in volunteering motivation-needs, sociability and satisfaction in their major. In the group who performed volunteering through circle activities, those who volunteered for children, who participated longer and who had an active attitude showed high volunteering motivation-needs. In the group who had volunteering activities during weekdays, those who took an active attitude toward volunteering showed high sociability. Those who were somewhat dissatisfied with volunteering activities, however, showed significantly high sociability. Satisfaction in the major, namely, nursing was higher in senior students, in those who participated in volunteering activities for the first time at college, those who had religion, those who are active in volunteering activities and those who were highly satisfied with volunteering activities. Considering that active attitude toward volunteering activities and high volunteering motivation-needs enhance nursing students' satisfaction in their major, it is necessary to upgrade the current volunteering activities to the level of service learning. That is, it is necessary to develop new service learning in nursing curriculum that utilizes volunteering activities as well as what they learn in major for community societies.

• International Journal of Contents
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• v.14 no.1
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• pp.1-6
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• 2018

Text, as one of the most influential inventions of humanity, has played an important role in human life since ancient times. The rich and precise information embodied in text is very useful in a wide range of vision-based applications such as the text data extracted from images that can provide information for automatic annotation, indexing, language translation, and the assistance systems for impaired persons. Therefore, natural-scene text detection with active research topics regarding computer vision and document analysis is very important. Previous methods have poor performances due to numerous false-positive and true-negative regions. In this paper, a fully-convolutional-network (FCN)-based method that uses supervised architecture is used to localize textual regions. The model was trained directly using images wherein pixel values were used as inputs and binary ground truth was used as label. The method was evaluated using ICDAR-2013 dataset and proved to be comparable to other feature-based methods. It could expedite research on text detection using deep-learning based approach in the future.

• The Journal of Information Technology and Database
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• v.8 no.1
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• pp.95-104
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• 2001

In the text classification domain, labeling the training documents is an expensive process because it requires human expertise and is a tedious, time-consuming task. Therefore, it is important to reduce the manual labeling of training documents while improving the text classifier. Selective sampling, a form of active learning, reduces the number of training documents that needs to be labeled by examining the unlabeled documents and selecting the most informative ones for manual labeling. We apply this methodology to Naive Bayes, a text classifier renowned as a successful method in text classification. One of the most important issues in selective sampling is to determine the criterion when selecting the training documents from the large pool of unlabeled documents. In this paper, we propose two measures that would determine this criterion : the Mean Absolute Deviation (MAD) and the entropy measure. The experimental results, using Renters 21578 corpus, show that this proposed learning method improves Naive Bayes text classifier more than the existing ones.

• Journal of The Korean Association of Information Education
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• v.9 no.2
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• pp.349-358
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• 2005

It is not sufficient to give a lecture in programming language without programming practice since lectures on programming must be given at lecture room with H/W and S/W for programming. In this paper, learning for Visual Basic programming has been designed and embodied with the leveled learning system in order to give an effective and positive result to both teacher and learner under the constructivism theory of education (Problem Based learning, Self-Directed learning) for the theoretical basis of the seventh education curriculum. We implemented a web courseware for Visual Basic programming using ActiveX and Tutor System. As the result of education using this courseware, it is verified as a leveled education method to adapt the learning ability of individual students, and it can raise the achievement, enthusiasm of learning and provide various opportunity of education with this various education methods. Also it enhances the problem solving ability and the logical thinking power by providing students with error correction learning.

• Journal of Oriental Neuropsychiatry
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• v.12 no.1
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• pp.123-135
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• 2001

Objective: This study was designed to assess antidepressant effects of Quibitang on an Animal Model of Depression induced by Chronic Mild Stress. Method: The consumption of 1% sucrose solution and active avoidance learning test were used to evaluate antidepressant effect of Quibitang. The consumption of 1% sucrose solution was measured every week for 8 weeks, and active avoidance learning test was executed after 4 weeks treatment of saline or Quibitang. Result: 1. The consumption of 1% sucrose solution was significantly reversed in test group (Quibitang-treated group) at 5th, 7th, 8th weeks, but there was no significant change in control group. 2. Chronic Mild Stress was found to suppress the increase of body weight at 5th, 6th, 7th, 8th weeks. Treatment of Quibitang did not enhanced the body weigt, but it enhanced the consumption of sucrose solution. 3. In order to measure the learning ability of rat which drived to be depressed, we executed active avoidance test. The result revealed that depressed rat showed impaired acquisition than control group, and the treatment of Quibitang restored the learning activity. Conclusion: These results suggest that Quibitang may have antidepressant effects on depression induced by chronic mild stress.

• Journal of Information Processing Systems
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• v.8 no.4
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• pp.575-588
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• 2012

Exploiting unlabeled text data with a relatively small labeled corpus has been an active and challenging research topic in text mining, due to the recent growth of the amount of biomedical literature. Biomedical named-entity recognition is an essential prerequisite task before effective text mining of biomedical literature can begin. This paper proposes an Active Co-Training (ACT) algorithm for biomedical named-entity recognition. ACT is a semi-supervised learning method in which two classifiers based on two different feature sets iteratively learn from informative examples that have been queried from the unlabeled data. We design a new classification problem to measure the informativeness of an example in unlabeled data. In this classification problem, the examples are classified based on a joint view of a feature set to be informative/non-informative to both classifiers. To form the training data for the classification problem, we adopt a query-by-committee method. Therefore, in the ACT, both classifiers are considered to be one committee, which is used on the labeled data to give the informativeness label to each example. The ACT method outperforms the traditional co-training algorithm in terms of f-measure as well as the number of training iterations performed to build a good classification model. The proposed method tends to efficiently exploit a large amount of unlabeled data by selecting a small number of examples having not only useful information but also a comprehensive pattern.

• The Journal of the Korea Contents Association
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• v.7 no.2
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• pp.150-160
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• 2007

In the actual classroom the so-called flow learning is able to motivate the students through face-to-face feedback, and to meet their needs for educational achievement. By contrast, the so-called e-learning method falls short of the satisfactory level of real-life interaction, which makes many learners drop out or give up on their learning. In order to better the e-learning environment, this study presents a dialogue-based feedback system that improves the flow learning of the learners' in the classroom. This newly developed system was applied at the actual school. The result is that the experimented group improved its flow learning, compared with the controlled group. In the former group, each individual showed some consciousness of objective and challenge following the concrete feedback. That is to say, this system enhances the attitude of an active participation and induces the flow learning, thanks to the dialogue-based feedback and the sustained interest in learning. In conclusion, the significance of this study lies in suggesting the direction of a new learning method development in the e-learning environment.

• Proceedings of the Korea Contents Association Conference
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• 2004.11a
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• pp.11-16
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• 2004

e-Learning has been expected as a new educational method and paradigm in knowledge information society. However e-Learning industry has not been in tremendous development on the contrary to people's expectations. Up to present time, collaborative learning is one of the learning approaches that promote active participation and engagement in learning. Learners can set up common goal, accomplish collaborative activity to solve the problem, and achieve individual and group goals while group work. In this paper, we present collaborative e-Learning environment to improve interactions among learners and identify the roles of collaborative learning agent to promote learner's learning activity.