• The Journal of Korean Association of Computer Education
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• v.17 no.5
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• pp.53-68
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• 2014

The purpose of this study has been found to be effective using ICT teaching-learning than traditional teaching-learning method on academic achievement applying the meta-analysis method. This study set the following questions to be answered. 1. The 85% subject of analysis of ICT-using teaching-learning selected in this study turned out to be clear effective than traditional teaching-learning method in academic achievement of students. 2. ICT-using teaching-learning is more effective for academic achievement of elementary school students and university students than for middle school students and high school students relatively. 3. ICT-using teaching-learning is a most effective method in subject of art and physical education and social subject but less effective in mathematics subject.

• Journal of Science Education
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• v.35 no.2
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• pp.119-126
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• 2011

The purpose of this study was to examine the effects of experimental learning using the small-scale chemistry (SSC) on high school students' academic achievement, scientific attitude and science-related attitude in high school chemistry I. For this study, two high school 2nd grade classes were divided into an experimental group and a control group. Experimental learning using the SSC in the experimental group, traditional experimental learning presented in the textbook in the control group were performed. The results showed that experimental learning using the SSC compared to traditional experimental learning was effective in improving academic achievement. The experimental learning also was effective in improving voluntary, patience, cooperativity in the scientific attitudes and social implications of science, attitude for science curriculum, attitude toward science in the science-related attitudes. Therefore, experimental learning using the SSC is necessary to actively utilize in high school chemistry curriculum.

• Journal of The Korean Association of Information Education
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• v.13 no.4
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• pp.451-459
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• 2009

With the development of the Information and Communication Technology(ICT), this society is changing rapidly to information based society. Also, the amount of new information and knowledge are increased quickly. Today, the traditional teaching-learning method based on teaching and learning of simple knowledge is not supported to problem solving any more. Because the learning and practice of ICT is affected not only personal growth but also the right to live. Due to this reason, it is important to teach and study using PBL(Problem Based Learning) in future. This paper proposes on-line based e-PBL which is combined e-learning with PBL. The e-PBL will be able to overcome the problem of traditional teaching-learnign method. Therefore, this paper developed the e-PBL teaching model for information literacy education of computer in elementary schools and inspected its effectiveness and validity. In addition, this paper built and utilized the e-PBL on-line learning support system including e-Mentoring which was defined as e-PAS system. It is effective for learners to improve the ability of self-leading, the accomplishment and satisfaction of studying.

• Journal of Internet of Things and Convergence
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• v.9 no.6
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• pp.119-124
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• 2023

Deep learning has recently demonstrated conspicuous efficacy across diverse domains than traditional machine learning techniques, as the most popular approach for pattern recognition. The classification problems for tabular data, however, are remain for the area of traditional machine learning. This paper introduces a novel network module designed to tabular data into high-dimensional tensors. The module is integrated into conventional deep learning networks and subsequently applied to the classification of structured data. The proposed method undergoes training and validation on four datasets, culminating in an average accuracy of 90.22%. Notably, this performance surpasses that of the contemporary deep learning model, TabNet, by 2.55%p. The proposed approach acquires significance by virtue of its capacity to harness diverse network architectures, renowned for their superior performance in the domain of computer vision, for the analysis of tabular data.

• Journal of the Korean Geographical Society
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• v.35 no.4
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• pp.563-563
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• 2000

• Journal of The Korean Association For Science Education
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• v.19 no.3
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• pp.479-486
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• 1999

This study was to inquire the effectiveness of concept mapping on the learning of biology concept. In this study the achivement acquired by the students in the classes of individual concept mapping and cooperative concept mapping were compared with those of traditional lecture on "photosynthesis and plant respiration". The concept mapping teaching methods, by individuals and groups. were more effective than traditional one. The results of analysis of covariance (ANCOVA) showed that these difference were statistically significant; individual concept mapping was more effective than traditional class result(p<.008). Also the cooperative concept mapping was effective than traditional class result(p<.0001). And the cooperative concept mapping was more effective than the individual one(p<.04). So that cooperative concept mapping is the most effective method in biology class.

• Journal of Korea Multimedia Society
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• v.25 no.3
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• pp.502-509
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• 2022

With the development of media technology, virtual reality (VR) technology is widely used in education, medical care, aerospace, entertainment and other fields. Among them, application in teaching courseware is a relatively new topic. Compared with traditional coursewares, virtual games visualized and extruded abstract teaching contents. Thus it strengthened teaching effects and expanded dimensions of learning. We hypothesized that virtual coursewares could increase users'sense of presence and enhance their focus. In this study, virtual courseswares were compared with traditional coursewares. At the same time, its feasibility and advantages of application were analyzed through literature researching, practical researching and statistical analysis from questionnaires. Furthermore, we designed a teaching system for VR coursewares and explored its performance in multidimensional and contextual teaching situations. It was found that Virtual coursewares have changed the boring traditional teaching methods. The teaching content was displayed in the form of three-dimensional images, videos and sounds through VR equipment, which effectively improved teaching efficiency. In addition, the feasibility of virtual courseware was demonstrated through factor analysis in questionnaires. Compared with traditional teaching courseware, VR coursewares can attract students' attention and improve learning efficiency. It provides a good example and is valuable for the research of virtual realities in education.

• The Journal of Society for e-Business Studies
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• v.6 no.3
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• pp.115-126
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• 2001

In constructive view, acquiring knowledge is made by experiences among members or elements. The knowledge in e-learning system can be extended up to knowledge of teachers and knowledge. of operating managers. We have many difficult problems to develop and manage e-1earning system because demanders on e-learning system have various. requirements. In traditional education system demanders are learners but in constructive view demanders can be extended to learners and teachers, operating mangers on e-learning system., In this study, we design and implement e-learning system named kedu V.1. Kedu V.1 is developed considering interactions of extended demanders of e-learning system in constructive view. And this system based on Linux operation system and MySQL, PHP. Also this system have efficient transplantation and portability capabilities and reduced cost and labor in implementation of real e-learning system

• Journal of Korea Multimedia Society
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• v.13 no.12
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• pp.1820-1831
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• 2010

When interacting with unknown environments, an autonomous agent needs to decide which action or action order can result in a good state and determine the transition probability based on the current state and the action taken. The traditional multiple sequential learning model requires predefined probability of the states' transition. This paper proposes a multiple sequential learning and prediction system with definition of autonomous states to enhance the automatic performance of existing AI algorithms. In sequence learning process, the sensed states are classified into several group by a set of proposed motivation filters to reduce the learning computation. In prediction process, the learning agent makes a decision based on the estimation of each state's cost to get a high payoff from the given environment. The proposed learning and prediction algorithms heightens the automatic planning of the autonomous agent for interacting with the dynamic unknown environment. This model was tested in a virtual library.

• Asia pacific journal of information systems
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• v.5 no.2
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• pp.143-176
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• 1995

We present an overview of the Extensional Object Model (ExOM) and describe in detail the learning and classification components which integrate concepts from machine learning and object-oriented databases. The ExOM emphasizes flexibility in information acquisition, learning, and classification which are useful to support tasks such as diagnosis, planning, design, and database mining. As a vehicle to integrate machine learning and databases, the ExOM supports a broad range of learning and classification methods and integrates the learning and classification components with traditional database functions. To ensure the integrity of ExOM databases, a subsumption testing rule is developed that encompasses categories defined by type expressions as well as concept definitions generated by machine learning algorithms. A prototype of the learning and classification components of the ExOM is implemented in Smalltalk/V Windows.