• Journal of The Geomorphological Association of Korea
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• v.26 no.1
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• pp.121-131
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• 2019

The coast of BiIn Bay, Seocheon, is the potential site for the field-trip learning program. This article is written in the viewpoint of geographical and environmental education. In this study, it is tried to describe geomorphological landscapes of BiIn Bay Seocheon-gun relating with it's physiognomy, based on the Dasa-ri and Songrim-ri coastal sanddunes and the like. Although landforms like tidal flats and rock cliff constitute prominent landscape features in this area, other features such as beaches, coastal dunes, and coastal plains have various ramifications for human communities. Tidal flats, beaches and coastal dunes are formed by the combined actions of longshore current, tidal flows, waves and winds. To some extent, the erosion of sandy coast has been a global phenomenon. Anthropogenic impacts are involved in the transformation of landform. Most favorable field-trip course of BiIn Bay is from Songrim-ri through Dasa-ri and Shinhap-ri to Maryang-ri. This program about coastal landforms in BiIn Bay will contribute not only for educational meanings but also for satisfying the student' curiosity and interest. Also, this field-trip learning program will be suitable for over 4th grade elementary school students and middle school students.

• Journal of Korean Elementary Science Education
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• v.33 no.1
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• pp.140-161
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• 2014

The purpose of this study was to analyze 181 papers about brain-based learning appeared in domestic scientific journals from 1989 to May of 2012 and suggest application conditions in elementary science education. The results of this study summarizes as follows; First, learning activity suggested by brain-based learning study is mainly explained by working of brain function. Learning activity explained by brain-based learning study are divided into 'learning according to specialized brain function, learning according to brain function integration and learning beyond specialization and integration of hemispheres'. Second, it searched how increased knowledge of brain structure and function affects learning. Analysis from this point of view suggests that brain-based learning study affects learning in many ways especially emotion, creativity and learning motivation. Third, brain-based learning study suggests various possibilities of learning activity reflecting brain plasticity. Plasticity which is one of most important characteristics of brain supports the validity of learning activity as learning disorder treatment and explains the possibility of selective increment of brain function by leaning activity and the need of whole-brain approach to learning activity. Fourth, brain-based learning brought paradigm shifts in education field. It supports learning sophistication on the understanding of student's learning activity, guides learning method that reflects the characteristics of subject and demands reconstruction of curriculum. Fifth, there are many conditions to apply brain-based learning in elementary science education field, learning environment that fits brain-based learning, change of perspectives on teaching and learning of science educators and development of brain-based learning curriculum are needed.

• Proceedings of the Korea Multimedia Society Conference
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• 2012.05a
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• pp.123-126
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• 2012

In general, there are 3 subjects of discussion in education field; namely past, present and future. Related with those facts, there is several information or knowledge that relatively hard to be presented in the real world. In this matter, digital content shows its contribution especially in the education field. Digital content can virtually represent the information or knowledge that seems to be difficult to be visualized in the real world before. In this project, researcher develops a mobile device's application that consist the skeleton's 3D virtual content. This application is expected to solve the above explained problem that usually appears during learning human skeleton in senior high-school's biology class. Besides, the application of digital content will make the learning process become easier because the student will have a visual learning tool. Last, the mobile device that is used in this prototype has offer an important beneficial namely mobility beneficial, so that the user can access the content anytime and anywhere.

• Journal of the Korea Society of Computer and Information
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• v.24 no.1
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• pp.257-263
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• 2019

This paper is a study on mathematical aspects that can be basic for understanding and applying the contents of machine learning. If you are familiar with mathematics in the field of computer science, you can create algorithms that can diversify researches and implement them faster, so you can implement many real-life ideas. There is no curriculum standard for mathematics in the field of machine learning, and there are many absolutely lacking mathematical contents that are taught in the curriculum presented at existing universities. Machine learning now includes speech recognition systems, search engines, automatic driving systems, process automation, object recognition, and more. Many applications that you want to implement combine a large amount of data with many variables into the components that the programmer generates. In this course, the mathematical areas required for computer engineer (CS) practitioners and computer engineering educators have become diverse and complex. It is important to analyze the mathematical content required by engineers and educators and the mathematics required in the field. This paper attempts to present an effective range design for the essential processes from the basic education content to the deepening education content for the development of many researches.

• Journal of The Korean Association of Information Education
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• v.18 no.1
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• pp.133-142
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• 2014

South korea's education system recently expands discretion activity classes for raising self-leading learning ability based on autonomy and creativity, and also recommends students to perform diverse field trips in order to learn the contents which can be obtained only from field learning. However most schools come hard to go on a field trip because they face many difficulties such as lack of time, expense, weather, and safety. In this paper, in order to get over these difficulties we design a teaching model for field based learning activities using a virtual reality tool. And using the developed virtual reality tool, we taught 4th grade students of an elementary school located in Seoul. As a result, most of students were engaged and interested in the class and improved their academic achievement during one semester.

• Archives of design research
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• v.16 no.3
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• pp.5-14
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• 2003

This study attempted to explore the guidelines for designing the contents of on-line learning in design field. The studies on the characteristics of design education and design major students as well as the guidelines for on-line learning were also reviewed. The guidelines for designing the contents of distance learning in design field were suggested through the synthesis and analysis of the former studies and the characteristics of design education and the learning style of Korean students. It could be concluded that the considerations were categorized into the following factors; quality of instruction, quality of presentation technique, quality of interaction, quality of evaluation and other surrounding factors. The finding can be used as a helpful guideline for the instructors of the design field who start on-line learning.

• The Journal of Korean Association of Computer Education
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• v.9 no.5
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• pp.1-11
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• 2006

This study aims at identifying what effect ARCS model based instruction and cognitive style have on learning motivation and achievement in computer education. In order to accomplish this goal. 70 high school students were randomly allocated into the experiment group and the control group. And each group was divided into field-independent group and field-dependent group. The results were as follows. First, post test of learning motivation among four groups showed that mean differences were statistical significant. Especially 'ARCS model based instruction-field independent group got higher score than 'traditional instruction field dependent' group. Second, post test of learning achievement showed no significant mean difference among four group. The result of the pre and post test difference analysis showed that the change scores of means were significantly different.

• Journal of Digital Convergence
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• v.15 no.6
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• pp.273-282
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• 2017

The objective of this study was to verify the mediating effects of self-efficacy between metacognition and learning flow in college students in healthcare field. Participants were 300 college students. Self-administered questionnaire data were collected from November 21 to December 2, 2016. Data were analyzed using descriptive statistics, t-test, ANOVA, Pearson correlation coefficients and hierarchical regression analysis with the SPSS/WIN 23.0 program. Results are as follows. Metacognition had positive effects on learning flow(${\beta}=.678$, p<.001). Self-efficacy had a partial mediating effect on the relationship between metacognition and learning flow. The findings of study showed that metacognition was very important for enhancing learning flow and self-efficacy influenced these relationship. This study suggested that it is important to develop and implement teaching and learning strategies with improved metacognition in healthcare field.

• Journal of Korea Society of Digital Industry and Information Management
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• v.16 no.2
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• pp.45-52
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• 2020

This paper is focused on the modulation scheme detection of the IEEE 802.11 standard. In the IEEE 802.11ac standard, the information of the modulation scheme is indicated by the modulation coding scheme (MCS) included in the VHT-SIG-A of the preamble field. Transmitting end determines the MCS index suitable for the low signal to noise ratio (SNR) situation and transmits the data accordingly. Since data field decoding can take place only when the receiving end acquires the MCS index information of the frame. Therefore, accurate MCS detection must be guaranteed before data field decoding. However, since the MCS index information is the information obtained through preamble field decoding, the detection rate can be affected significantly in a low SNR situation. In this paper, we propose a relatively robust modulation classification method based on deep learning to solve the low detection rate problem with a conventional method caused by a low SNR.

• 제어로봇시스템학회:학술대회논문집
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• 1992.10b
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• pp.324-329
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• 1992

A physical phenomenon is observed through analysis of the Hodgkin-Huxley's model that is, according to Maxwell field equations a fired neuron can yield magnetic fields. The magnetic signals are an output of the neuron as some type of information, which may be supposed to be the conscious control information. Therefore, study on neural networks should take the field effect into consideration. Accordingly, a study on the behavior of a unit neuron in the field is made and a new neuron model is proposed. A mathematical Memory-Learning Relation has been derived from these new neuron equations, some concepts of memory and learning are introduced. Two learning theorems are put forward, and the control mechanisms of memory are also discussed. Finally, a theory, i.e. Neural Electromagnetic(NEM) field theory is advanced.