• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2013.10a
• /
• pp.575-577
• /
• 2013

The research was aimed at the hotel industry's employees in order to test the efficiency of e-Learning, which is emerging as the alternative training system to the conventional one. The independent variables are the quality of e-Learning, including the qualities of the system, contents, and service of e-Learning, and the learning characteristic factor, including the quality factor of e-Learning, the self-efficacy of the user, learning motivation, and the flow of learning. Furthermore, the intervening variables are its perceived usefulness and the satisfaction factor of the user known as the so-called utility of e-Learning, continuous intention to use in terms of efficaciousness, and the spread of education and training. The dependent variable is customer orientation, known as the ultimate efficaciousness of corporate e-Learning.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
• /
• v.37 no.3
• /
• pp.199-208
• /
• 2019

As the number of available satellites increases and technology advances, image information outputs are becoming increasingly diverse and a large amount of data is accumulating. In this study, we propose a change detection method for high-resolution satellite images that uses transfer learning and a deep learning network to overcome the limit caused by insufficient training data via the use of pre-trained information. The deep learning network used in this study comprises convolutional layers to extract the spatial and spectral information and convolutional long-short term memory layers to analyze the time series information. To use the learned information, the two initial convolutional layers of the change detection network are designed to use learned values from 40,000 patches of the ISPRS (International Society for Photogrammertry and Remote Sensing) dataset as initial values. In addition, 2D (2-Dimensional) and 3D (3-dimensional) kernels were used to find the optimized structure for the high-resolution satellite images. The experimental results for the KOMPSAT-3A (KOrean Multi-Purpose SATllite-3A) satellite images show that this change detection method can effectively extract changed/unchanged pixels but is less sensitive to changes due to shadow and relief displacements. In addition, the change detection accuracy of two sites was improved by using 3D kernels. This is because a 3D kernel can consider not only the spatial information but also the spectral information. This study indicates that we can effectively detect changes in high-resolution satellite images using the constructed image information and deep learning network. In future work, a pre-trained change detection network will be applied to newly obtained images to extend the scope of the application.

• Journal of the Korean association of regional geographers
• /
• v.9 no.3
• /
• pp.395-409
• /
• 2003

In this study the meaning and necessity for self-regulation in managing and organizing the national curriculum is researched in order to reflect the reality that the tide of regionalization appears apparently with globalism. Hwacheon is chosen and applied as an example region for selecting and forming a new learning content in geography education and teaching and learning that content. The regional geography should be learned in high schools according to the approach of regional textbooks being made and used now in primary and middle schools, and the contents of textbooks should be properly reorganized in accordance with the students' school ages rather than organized simply with enumerating geographic facts in a row. And the contents should be organized centering on the learners' daily living sphere. In addition, teaching-learning method should be taken into consideration according to the scale of the regions. Consequently, in this study small-scaled area was chosen as a learning content, laying stress on daily lives within the living zone, and therefore field work is considered as a learning method.

• Journal of Engineering Education Research
• /
• v.16 no.2
• /
• pp.11-23
• /
• 2013

The main purpose of this study was to examine the mediating effect of participation motivation of continuing professional development between the level of organizational learning transfer climate and learning transfer. In the analysis of the relationship among the level of the organizational learning transfer climate, learning transfer and participation motivation of CPD, organizational learning transfer climate had indirect influence on learning transfer through participation motivation of CPD. Based upon the findings of this study, several suggestions were made to improve professional engineers' participation and learning transfer in CPD and implement future research on professional engineer's CPD.

• Communications of Mathematical Education
• /
• v.11
• /
• pp.321-338
• /
• 2001

수학의 역사에 비하여 수학교육에 관한 연구는 비교적 짧다. 1960년대에 미국과 소련의 우주과학 경쟁이 시작되고 수학교육이 관심을 갖게 되었다. 이 후 전문 학회와 논문지가 출현하기 시작하면서 학문적으로 연구되고 발전하기 시작하였다. 한편 대학 수준의 수학교육에 관한 전문적인 연구는 뒤늦게 1990년대에 시작하였다. 한편 한국의 대학 수학교육은 현재 크게 변화하고 동요하고 있다. 대중화된 대학 교육, 수학 수강생 감소, 대학 수학교육의 개선, 7차 및 중등 교육과정 문제 대학으로 전이, 정보기술의 발전 및 활용 등으로 복잡하게 전개되고 있다. 수학교육 연구의 목적, 문제, 방법, 타당성 기준, 결과의 가치, 교육 개선 응용 등의 학문적 성격이 수학 연구와 크게 다르다. 대학 수학교육에서 새롭게 나타나고 부각되는 문제를 효과적으로 접근하기 위한 연구 방향을 제시한다. 그리고 뇌 과학과 인지 과학 연구에 바탕을 둔 실제 학습 모형에 응용할 수 있는 대학 수학 학습 이론을 소개한다.

• Journal of KIISE:Software and Applications
• /
• v.37 no.5
• /
• pp.363-369
• /
• 2010

Demonstration-based learning has the advantage that a user can easily teach his/her robot new task knowledge just by demonstrating directly how to perform the task. However, many previous demonstration-based learning techniques used a kind of attribute-value vector model to represent their state spaces and policies. Due to the limitation of this model, they suffered from both low efficiency of the learning process and low reusability of the learned policy. In this paper, we present a new demonstration-based learning method, in which the relational model is adopted in place of the attribute-value model. Applying the relational instance-based learning to the training examples extracted from the records of the user demonstrations, the method derives a relational instance-based policy which can be easily utilized for other similar tasks in the same domain. A relational policy maps a context, represented as a pair of (state, goal), to a corresponding action to be executed. In this paper, we give a detail explanation of our demonstration-based relational policy learning method, and then analyze the effectiveness of our learning method through some experiments using a robot simulator.

• The Journal of the Korea Contents Association
• /
• v.22 no.1
• /
• pp.348-358
• /
• 2022

The purpose of this study is to produce visual content for effective education of Passive verbs and Causative verbs in Korean language education for foreigners. Passive verbs and causative verbs are contents that must be taught to intermediate level learners. However, it is recognized as a difficult item for both learners and Korean teachers because the realization pattern is complicated, and there is no rule to explain the combination relationship between the action and the instruction by suffix. In this article, the use of nonverbal information that can improve the learning effect was considered. Providing verbal and non-verbal information together in language education can be expected to improve learners' communication skills. In particular, visual content is non-verbal information that can positively affect memory enhancement, playback, and transition. Therefore, this study attempted to plan and produce picture cards as visual materials. The picture card, produced with a focus on the correct education of Korean Passive verbs, will efficiently and significantly make Korean Passive verbs and Causative verbs teaching and learning by suffixes.

• Journal of the Korean BIBLIA Society for library and Information Science
• /
• v.34 no.4
• /
• pp.5-27
• /
• 2023

Gagné proposed nine instructional events, gain attention of the students, inform students of the objectives, stimulate recall of prior learning, present the content, provide learning guidance, elicit performance(practice), provide feedback, assess performance, enhance retention and transfer for effective teaching & learning practice. Gagné's theory is widely applied in various subjects because it increases student participation and allows classes to be developed systematically. The purpose of this study is to develop a lesson plans for the 'library and information life' subjects in middle school using Gagné's nine instructional events theory, conduct actual instructions, and verify its effectiveness. The research procedure was conducted as follows. Development of lesson plan that using Gagné's theory to Section III (Information Analysis and Interpretation) of 'Library and Information Life' in middle school. Actual instruction were conducted and student survey, peer teacher assessment, and instructor self-assessment were conducted. Based on the evaluation results, a elements to revise and improve the lesson plan was presented.

• The Journal of the Korea Contents Association
• /
• v.12 no.6
• /
• pp.497-507
• /
• 2012

This study aims to verify how the characteristics of organizational supporting unit affect the effectiveness of company-wide HRD Education & Training program. To achieve this objective, we performed an empirical analysis, with the characteristics of organizational supporting unit comprising supervisor's support, job support, and company support as independent variables, and with the level of reaction stage, learning stage, transfer stage, and result stage as dependent variables. Empirical data was collected during the period from August 16, 2011 to September 9, 2011 by sending out questionnaires to employees of 5 securities firms listed on KOSDAQ where online and offline education & training program is running year-round with headquarter in Seoul. A total of 340 questionnaires were sent out three times for the survey, and total of 164 questionnaires were sampled for the final analysis. According to the outcome of the analysis, regarding the first hypothesis that tries to reveal how the characteristics affect the level of reaction stage, it is verified that all of supervisor's support, job support and company support have positive impact on the level of reaction stage with p value less than 0.01. In regard to the second hypothesis that tries to see how the characteristics affect the level of learning stage, it is confirmed that supervisor's support, job support and company support have significant impact on the level of learning stage with p value less than 0.05 or 0.01, respectively. Concerning the third hypothesis that aims to investigate how the characteristics affect the level of transfer stage, it is appeared that all of supervisor's support, job support and company support have positive impact on the level of transfer stage. And lastly, as for the fourth hypothesis that tries to see how the characteristics affect the level of result stage, it is analyzed that supervisor's support, job support and company support have positive impact on the level of result stage with p value less than 0.01. This study reconfirm the outcomes of previous research, which is that the effectiveness of company-wide education & training program depends not only on the contents and quality of education & training program, but also more importantly on the role of organizational supporting unit, and the working environment where what is learned in classroom can be applied to real business. Companies or experts that run education & training program in real world should recognize that the performance of training is dependent more significantly on the characteristics of organizational supporting unit rather than the design or features of education & training program.

• Proceedings of the Korea Water Resources Association Conference
• /
• 2020.06a
• /
• pp.111-111
• /
• 2020

하천환경과 기후의 변화로 인해 수질오염 과정의 메커니즘이 더욱 복잡해짐에 따라 다양한 요인을 고려한 불확실성 평가 연구가 요구되고 있다. 하천 수질 중에서도 부영양화 문제는 특히 개발로 인한 하천환경 변화 이후 사회 정치적 논점이 되어왔다. 본 연구에서는 지난 7년 동안의 수질 변화의 전반적인 양상을 조사하였으며, 클로로필-a(Chl-a, chlorophyll-a) 농도의 시공간적 의존성의 효과적으로 고려하기 위해 기계학습 기반 분류(classification) 접근법인 다변량 은닉 마코프 모형(MHMM, multivariate hidden Markov model)을 사용하였다. 월 단위 수질 및 수문 자료를 사용하여 Chl-a의 변동성을 군집화하여 수질 상태의 익월 천이확률을 효과적으로 추정하였다. Chl-a와 수질 및 수문기상 조건의 관계를 평가하였으며, 결과적으로 수질 상태의 시공간적 전이가 정확하게 식별되었고 이의 잠재적 원인에 대하여 논의하였다.