• Proceedings of the Korea Contents Association Conference
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• 2008.05a
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• pp.732-737
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• 2008

As e-learning is recognized in new education form, Learning Management System that manage general activity of learning to maximize effect of education is being developed actively. Usually, Learning Management System includes course registration and learning as well as learner's learning recording and tracking, evaluation in online. But, most systems is lacking a tool that learners can collaborate with companion learners, and planning learning and set valuation basis as leading. In this paper, we can expect effective collaborative learning activities because can make debate and team project smooth by suggesting collaborative learning module that can drive voluntary participation such as group formation, learning plan, mutually estimation as leading to learner in Learning Management System of blended learning base that support online and offline environment both.

• The KIPS Transactions:PartA
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• v.9A no.4
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• pp.631-638
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• 2002

We have many difficult problems to efficient development and management of a Web-based education system because of the various requirements of various demanders. A Web-based education system consists of instructors and operation managers of system and learners. Those three factors are the most important e]ements of a Web-based education system and we must consider those elements for design and development. In constructivist approach. acquiring knowledge is made by experiences among each members or elements. So we can say that the constructivist elements of a Web-based education system is learners and instructors, operation managers. In this study, we design and implement a Web-based education system, based on the interactions of extended demanders of Web-based education system in constructivist approach and object oriented modeling. In this study we can improve portability and reduce cost because of platform independence from presented system. And in experiment, we compare and analyse two platform web-based education system a point of effectiveness, cost, convenience.

• Journal of The Korean Association of Information Education
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• v.5 no.3
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• pp.380-388
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• 2001

In this Information Age, the needs for the performance evaluation is raising to increase the higher-thought ability for creativity and problem-solving, to improve the quality of the teaching-learning process. However, it is very difficult to carry out the authentic performance evaluation in our educational environment. Therefore, we design and implement the Performance Evaluation Processing System as one of the learning-teaching processes. We study the theoretical base of evaluation types and of learning-teaching methods, and inquire appropriate performance evaluation methods. Among the methods, we focus on the Report, a type of performance evaluation using the most widely in the Society. We constitute a basic form and design the evaluation system of the Report. The evaluation system consist of the teacher's module and the learner's module. Teachers make the form of report, provide it for learners and evaluate the report on teacher's module, Learners make out the report, submit it to the teacher and use it for presentation in class, on learner's module, The teacher and learner can apply this system as follows. The teacher can use the report that have been already made, or that make for themselves as a step for evaluation and they can evaluate learners by the submitted report. The learner not only can see their own result of evaluation but also can use ICT at their presentation.

• The Journal of Korean Association of Computer Education
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• v.17 no.4
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• pp.59-67
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• 2014

With the development of SNS, many different areas including education are utilizing SNS in various ways. And there are more and more learners and teachers who intend to use it for learning. Lately, however, the students using SNS environment hardly consider the issues regarding copyright, so this is raising even legal issues, too. Therefore, this study has examined the degree of recognition of undergraduates on copyright and extracted the general cases of copyright which undergraduates may face in the actual class or everyday life. The cases extracted are expressed in the rules of "If ~ Then", stored in the knowledge base of rules in the rule-based system, and realized as the mobile web. And regarding the copyright-related problems inputted by the students, similar rules are drawn from the knowledge base of rules so that they can solve copyright-related problems anytime, anywhere with the mobile web in a self-directed way.

• Korean Journal of Adult Nursing
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• v.12 no.3
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• pp.418-430
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• 2000

Nurses in today's challenging health care settings need to be skilled critical thinkers and clinical experts. The nurse must be able to use a broad knowledge base to mobilize resources, coordinate actions and evaluate outcomes in complex new situations. So the national licensing examination for registered nurses is change to improve the quality of professional competency of nurses in Korea. Prior to this, learning objectives should be developed and improved periodically. The purpose of this study is to describe the nursing competency to provide base line data for developing learning objectives in adult health nursing. This study was conducted by means of a questionnaire which was developed by the researcher after reviewing the literature. The questionnaire was based on learning objectives which were developed by a nation-wide nursing faculty majoring in adult health nursing. The subjects were 45 nurses in a middle level hospital. The collected data were treated using SPSS Win 7.5 Statistical Package so as to obtain such descriptive statistics as mean score, frequency, and to test reliability test, nonpar-Friedman test. To summarize the major findings in this study, it showed the scope of nursing competency and can guide the direction of study and methodological criteria to develop learning objectives. Recommendations for further research are: firstly, it is necessary to state learning objectives with learners' behavioral terminology; secondly, to overcome locality in scope of this study, there is a need to analyze with nation-wide sampling by an in-depth statistical analysis; thirdly, because the subjects of this study are mostly three-year graduate nurses, there is a need to compare this study with other studies of different subjects.

• Computers and Concrete
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• v.25 no.6
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• pp.565-574
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• 2020

Over the years, several machine learning approaches have been proposed and utilized to create a prediction model for the high-performance concrete (HPC) slump flow. Despite HPC is a highly complex material, predicting its pattern is a rather ambitious process. Hence, choosing and applying the correct method remain a crucial task. Like some other problems, prediction of HPC slump flow suffers from abnormal attributes which might both have an influence on prediction accuracy and increases variance. In recent years, different studies are proposed to optimize the prediction accuracy for HPC slump flow. However, more state-of-the-art regression algorithms can be implemented to create a better model. This study focuses on several methods with different mathematical backgrounds to get the best possible results. Four well-known algorithms Support Vector Regression, M5P Trees, Random Forest, and MLPReg are implemented with optimum parameters as base learners. Also, redundant features are examined to better understand both how ingredients influence on prediction models and whether possible to achieve acceptable results with a few components. Based on the findings, the MLPReg algorithm with optimum parameters gives better results than others in terms of commonly used statistical error evaluation metrics. Besides, chosen algorithms can give rather accurate results using just a few attributes of a slump flow dataset.

• International Journal of Contents
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• v.4 no.2
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• pp.19-23
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• 2008

This paper presents a novel method to construct a personalized e-Learning system based on dynamic estimations of item parameters and learners' abilities, where the learning content objects are of the same intrinsic quality or homogeneously distributed and the estimations are carried out using IRT(Item Response Theory). The system dynamically connects the test and the corresponding learning procedures. Test results are directly applied to estimate examinee's ability and are used to modify the item parameters and the difficulties of learning content objects during the learning procedure is being operated. We define the learning unit 'Node' as an amount of learning objects operated so that new parameters can be re-estimated. There are various content objects in a Node and the parameters estimated at the end of current Node are directly applied to the next Node. We offer the most appropriate learning Node for a person's ability throughout the estimation processes of IRT. As a result, this scheme improves learning efficiency in web-base e-Learning environments offering the most appropriate learning objects and items to the individual students according to their estimated abilities. This scheme can be applied to any e-Learning subject having homogeneous learning objects and unidimensional test items. In order to construct the system, we present an operation scenario using the proposed system architecture with the essential databases and agents.

• The Journal of Korean Association of Computer Education
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• v.7 no.5
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• pp.57-70
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• 2004

This study is the subsequent study that has the objectives examining the relationships among 'substantive understanding', 'scientific literacy' and 'learning intention' in computer supported intentional learning environments and inquiry ability, variables for affecting knowledge construction derived from the finding out of the former study. As a result, the current study confirmed in CSILE the close correlation between 'the learning intention for scientific inquiry' and 'substantive understanding', between 'the learning intention for scientific inquiry' and 'scientific literacy'. Another result showed that 'scientific literacy' was the most significant predictor on inquiry ability. Base on the result of this study, the present researcher is about to make suggestions to stimulate learners' scientific literacy in CSILE-based inquiry learning.

• The Journal of Korean Association of Computer Education
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• v.14 no.5
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• pp.1-8
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• 2011

The purpose of this study is to explore vocational high school students' understanding levels and misconceptions regarding the time-efficiency of algorithms. In this study, a questionnaire with nine questions was developed. The questionnaire is base on three misconceptions about the time-efficiency of algorithms that are examined through prior studies. The questionnaire was applied to 51 students who completed a programming course. The result shows that the students didn't sufficiently understand the concept of time-efficiency of algorithms and several common misconceptions appeared repeatedly. Finally, teaching strategies using simulation and assesment framework for algorithm's time-efficiency were presented and some recommendations were suggested for refining the curriculum relating computer programming and algorithms.

• Journal of Korea Society of Digital Industry and Information Management
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• v.19 no.3
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• pp.245-251
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• 2023

Facial expression recognition plays a significant role in understanding human emotional states. With the advancement of AI and computer vision technologies, extensive research has been conducted in various fields, including improving customer service, medical diagnosis, and assessing learners' understanding in education. In this study, we develop a model that can infer emotions in real-time from a webcam using transfer learning with TensorFlow.js and MobileNet. While existing studies focus on achieving high accuracy using deep learning models, these models often require substantial resources due to their complex structure and computational demands. Consequently, there is a growing interest in developing lightweight deep learning models and transfer learning methods for restricted environments such as web browsers and edge devices. By employing MobileNet as the base model and performing transfer learning, our study develops a deep learning transfer model utilizing JavaScript-based TensorFlow.js, which can predict emotions in real-time using facial input from a webcam. This transfer model provides a foundation for implementing facial expression recognition in resource-constrained environments such as web and mobile applications, enabling its application in various industries.