• Korean Journal of English Language and Linguistics
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• v.3 no.3
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• pp.453-497
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• 2003

The purpose of this study is to investigate social aspects of young EFL learners' interaction at the computer. Data were taken from the interactions of three pairs of fourth-grade primary school children who worked together on English learning software. Their interactions at the computer were videotaped and then all the talk produced by the students and the utterances emitted from the computer were transcribed. As for the analytical tools, the notion of ‘contextualization cues’ (Gumperz, 1982) and the concept of ‘positioning’ (Davies & Harre,1990) were employed. The analysis reveals that the roles of the students were not tied to a certain position, but rather dynamically changed during the course of interactive work according to the situation at hand. The dynamic changes in their positions were realized through various means; their capability in solving problems, their taking responsibility or assigning it to each other, or cooperation. There were also instances of peer teaching and motivated learning. In addition, the students showed autonomy in their learning activity. These findings suggest that both students in a dyad had their own place in performing task activities, contributing to solving problems and getting benefits from peer interaction. Furthermore, students' working together on English learning software may provide an environment which can promote cooperative attitude and responsibility for learning and enhance motivation and autonomy in their learning process.

• Journal of Industrial Technology
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• v.30 no.A
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• pp.45-47
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• 2010

In legacy e-learning web service, as deployed contents are changed, web services should be changed together. In addition, it can not coordinate and manage the various e-learning services recently emerged. In this paper, an e-learning platform based on Service-Oriented Architecture (SOA) is proposed to solve these problems. We design and implement an e-learning system based on Service abstraction layer concepts. The implemented system can provide the new e-learning services within short development periods.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.13 no.5
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• pp.2023-2029
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• 2012

The purpose of this study were to identify the effect of Learning Together(LT) on underachiever's academic achievement and learning attitudes. To solve above study purpose, the subject of this study were 20 second-grade underachiever selected from two classes of middle school. The subject classified into two group. In this study, the experimental group were participated in LT method and comparison group were participated lecture-centered instruction. Experimental period were 8 weeks. After the experimental treatment, underachiever's academic achievement and learning attitudes carried out post-test. And the results of the data were analyzed by t-test and MANOVA. The results were as follows: A academic achievement and learning attitude of underachiever's through LT method was significantly higher than those learning through lecture-centered instruction. Especially, a self-confidence, success-expect, attention, affection as subordinate variables of learning attitude was significantly higher than those learning through lecture-centered instruction. In conclusion, LT method effect on underachiever's academic achievement and learning attitudes. As observed by the above results, a LT method should be an applicable to underachiever's education program plan as an effective means of enhancing their academic achievement and learning attitudes.

• Educational Technology International
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• v.11 no.2
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• pp.105-121
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• 2010

Collaborative learning encourages the use of high-level cognitive strategies, critical thinking, and interpersonal relationships. Despite these advantages, most instructors reveal the difficulties of using project-based collaborative learning; a common problem is the failure of the group to work effectively together. Thus, this study attempted to provide practical advice on group composition with self-regulation. In a college course, 31 groups with 129 students were asked to discuss and prepare the final presentation material and present it together as a collaborative work. All students' self-regulation skills were measured at the beginning of the semester, and the collective self-regulation was computed as an average of the individual scores of each group. The results of regression analysis indicate that the group's collective self-regulation shows a highly significant positive effect on group performance and satisfaction, as self-regulation predicts individual academic performance. The results also show that there is a significant positive relationship between students' self-regulation and participation in group work.

• Journal of Engineering Education Research
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• v.18 no.5
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• pp.59-66
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• 2015

In the on-line pre-learning which is applied in this study, on line pre-learning, in-class, post-learning are circulated together in the same experiments. The on-line pre-learning has been tried to 136 students in A junior college in Seoul for 3 years. The effects of their self-regulated learning are as follows. First, the self-regulated learning ability has increased by 0.42 point. The point after the self-regulated learning and before it is 3.24 and 3.66 respectively. Second, cognitive regulation, motivational regulation and behavioral regulation have also increased. Out of them, cognitive control has increased the most. Metacognitive strategy is higher than cognitive strategy. In conclusion, the result shows that the on-line pre-learning is helpful to develop the self-regulated learning ability and it is also suitable to teaching-learning method for junior college.

• Korean Medical Education Review
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• v.17 no.1
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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.

• Proceedings of the KIEE Conference
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• 1990.11a
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• pp.465-469
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• 1990

This thesis proposes a new scheme for the recognition of presegmented Hangul characters. The proposed approach is rather insensitive to noise and variation by applying 2 dimensional convolution to learning patterns. In this thesis, the hangul recognition neural network is implemented in the basis of this scheme and recognition rate is analyzed in boo cases of learning which are learning by binary patterns and learning by binary patterns and convoluted patterns together.

• Korean Medical Education Review
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• v.18 no.3
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• pp.167-173
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• 2016

This study analyzed participation experiences in a voluntarily learning community using both quantitative and qualitative methods. Sixty freshmen and sophomore medical school students in 10 learning communities participated in the study. At the time of the survey, learning communities had been operating for 10 weeks and had weekly in-person meetings. Satisfaction questionnaires and reflective essays were given and analyzed. The results showed that learning community experiences were effective in promoting students' learning motivation, cooperative learning, responsibility, and communication skills. Three essential topics and nine subjects were analyzed in the reflective essays. Three essential topics were conflict with each other due to the difference, forming deep relationships, and sharing and learning together with an in-depth study. The results of this study will contribute to collaborative learning culture and the development of learning communities in medical schools.

• Korean System Dynamics Review
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• v.9 no.1
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• pp.33-56
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• 2008

With emphasis on the importance of systems thinking for the establishment of learning organization, Senge in his famous book "The Fifth Discipline", explains in depth four disciplines such as personal mastery, mental models, shared vision, team learning, which are all geared up to the implementation of learning organization. However, two critical pitfalls are found: First, a holistic picture is absent in his presentation of learning organization, which just seems like a puzzle with linking pieces missing between disciplines. Secondly, as is often the case too much details are discussed in expense of insights on each discipline. This paper thus attempts to draw core metaphysical insights underlying Senge's learning organization disciplines by reinterpreting them from oriental perspectives; and to identify mechanisms depicting how they are working together as a whole, which is enabled by exploiting causal loop diagrams as a tool of systems thinking. In addition some thoughts on the implications of systems thinking on each of the learning organization disciplines.

• Database Research
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• v.34 no.3
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• pp.45-57
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• 2018

The drowsiness that occurs in the driving is a very dangerous driver condition that can be directly linked to a major accident. In order to prevent drowsiness, there are traditional drowsiness detection methods to grasp the driver's condition, but there is a limit to the generalized driver's condition recognition that reflects the individual characteristics of drivers. In recent years, deep learning based state recognition studies have been proposed to recognize drivers' condition. Deep learning has the advantage of extracting features from a non-human machine and deriving a more generalized recognition model. In this study, we propose a more accurate state recognition model than the existing deep learning method by learning image and PPG at the same time to grasp driver's condition. This paper confirms the effect of driver's image and PPG data on drowsiness detection and experiment to see if it improves the performance of learning model when used together. We confirmed the accuracy improvement of around 3% when using image and PPG together than using image alone. In addition, the multimodal deep learning based model that classifies the driver's condition into three categories showed a classification accuracy of 96%.