• Proceedings of the Korea Information Processing Society Conference
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• 2000.04a
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• pp.956-961
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• 2000

지금까지의 웹에서의 학습(실습과목에 대한) 상황은 정지된 이미지를 보고 그에 대한 설명을 학습자가 읽기만 하고 진행되는 시스템이다. 이는 '웹 활용 학습(Web Based Instruction)' 측면에서 볼 때 너무나도 정적이고 학습자 주도적이지 못한 학습 진행 상황이다. 따라서, 학습자의 성취도 또한 낮았다. 이러한 배경을 토대로 인터넷상에서의 실습 과목에 대한 학습진행 상황을 실제 상황과 똑같이 진행될 수 있도록 설계하였다. 진행 상황 화면을 하나씩 캡춰하여 그 이미지에 대한 이벤트 처리를 HTML과 DHTML, JavaScript를 통하여 구현하였다. 이로써, 학습자가 자신의 시스템에 프로그램이 설치되어있지 않아도, 또한 장소를 가리지 않고 인터넷에 접속하여 자기 주도적이고 동적인 학습을 진행할 수 있도록 하였다.

• Journal of The Korean Association of Information Education
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• v.5 no.1
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• pp.145-156
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• 2001

The purpose of this study is to set up the situated learning model for computer education and to investigate which method has better effect on the students' computer skill and learning attitude among the situated learning model and the traditional learning model. The result of this study is as follows. In order to investigate the effect of the students' learning attitude, students had been tested on six factors: the Understanding, the Interest, the Achievement, the Concentration, the Applicability, and the Spontaneity. As for the Understanding, the traditional learning model has better effect on students than the situated learning model. But the situated learning model was much superior in the other factors to the traditional learning model. Next, it had been examined how much students improved their computer skills under the situated learning model and under the traditional learning model. The study showed that the traditional learning model resulted in a little bit higher scores than the situated learning model. However, it was a great success to find out that the situated learning model is superior in the students' learning attitude to the traditional learning model.

• Journal of the Korea Society of Computer and Information
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• v.16 no.6
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• pp.99-109
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• 2011

Ubiquitous computing technology makes an impact on the appearance of u-learning and presents an advanced direction of futuristic school education. In ubiquitous learning environments, various embedded computational devices will be pervasive and interoperable across the network for supporting the learning, so users may utilize these devices anytime anywhere. An important next step for ubiquitous learning is the introduction of context-aware learning service that employing knowledge and reasoning to understand the local context and share this information in support of intelligent learning services. However, the existing studies on design and application of ontology context model to support context-aware service in actual school environments are incomplete state. This paper, therefore, suggests a scheme of constructing ubiquitous learning space for existing school network by introducing USN to support context-aware ubiquitous learning services. This paper, also, designs an ontology based context model for ubiquitous school environments which describes context information through OWL. To determine the suitability of proposed ubiquitous learning space and ontology context model, we implement some of context-aware learning services in the ubiquitous learning environments.

• 한국정보교육학회:학술대회논문집
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• 2010.01a
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• pp.109-116
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• 2010

발달장애 아동의 특성상 교육활동의 효율성을 극대화하기 위하여 구체적인 자료 지원과 실제적인 학습이 가능한 현장체험학습 활동이 요구된다. 그러나 많은 장애요인 및 위험요소로 인해 장애아동의 체험학습이 이루어지기 어렵고, 이미 교실에서 학습된 지식이라 하더라도 실생활의 문제 상황에 적용하는데 어려움을 겪는다. 따라서 본 연구에서는 주어진 상황과 맥락 하에서 스스로 지식을 구성하고 적용하는 상황학습 이론을 기반으로 발달장애 아동의 기초학습 능력 및 사회성 향상을 위한 모바일 현장체험학습 지원 시스템을 설계하였다. 본 모바일 현장체험학습 지원 시스템의 특징은 다음과 같다. 첫째, 발달장애 아동의 구체적이고 실제적인 학습을 위해 현장 체험학습을 활성화 시키고 보다 효과적으로 운영 지원할 수 있다. 둘째, 상황학습 이론을 적용하여 단순한 지식의 습득 차원에서 머무르는 것이 아니라 실제적인 문제 상황에서 지식을 적용할 수 있는 능력을 키울 수 있다. 셋째, 시스템 설계시 장애인의 웹접근성 및 모바일 환경에서의 인터페이스의 특징을 고려하여 설계함으로써 장애아동이 학습 공간에 보다 쉽게 접근할 수 있다. 넷째, 학습 모듈별 반복 학습이 가능하여 발달장애 아동의 기초학습 능력 뿐 아니라 사회적 기능 향상에도 긍정적인 영향을 제공한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2022.11a
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• pp.670-672
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• 2022

이러닝 시스템을 유용하게 활용하려면 학습자의 감정을 인식하여 학습자에게 적절한 피드백을 주는 것이 무엇보다 중요하다. 이러닝 시스템의 학습효율을 높이기 위해서는 학습자의 감정을 인식하여 그에 적절한 피드백을 제공하는 것이 중요하다. 본 논문에서는 학습자에 대한 적절한 피드백을 제공하기 위해서 상황인식 컴퓨팅 기술을 바탕으로 학습자의 감정표현단어를 상황정보로 사용하여 감정을 인식할 수 있는 상황인식 미들웨어로서 EF-CAM을 제안한다. EF-CAM은 감정표현단어의 범주화기술을 기반으로 온톨로지를 구축하여 학습자의 감정을 인식한다. 이러닝 학습자의 감정을 인식하기 위해서 학습자의 감정표현 단어를 상황정보로 사용하고, 학습자의 감정에 영향을 미칠 수 있는 환경정보(온도, 습도, 날씨 등)를 추가하여 인식한다. 학습자의 감정을 표현하기 위해서 OWL 언어를 사용하여 온톨로지를 구축하였다.

• Education of Primary School Mathematics
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• v.15 no.1
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• pp.1-11
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• 2012

Unlike traditional cognitive theory, situated cognition theory has been understood as a pedagogical theory that highly reflects the constructivist nature of learning. In order to practice situated learning in school, situations in the classroom are very important in which real teaching and learning occurs. Due to the fact that learning is the process of mental activities which is considerably dependent on conditions and context, it focuses more on the learning process and real-situation experiences rather than the result itself. In mathematics education, teaching students the ability to solve given problems in a conventional way is not enough anymore. The purpose of this research is to suggest the direction of mathematical education in the classroom by analyzing the implications of situated cognition theory and situated learning for 'doing mathematics' in classroom teaching. In this research, we introduce briefly about situated cognition theory and situated learning, compare the phenomenon of mathematics in the classroom to that in the mathematician's mind, and finally propose the applications of situated cognition theory in the mathematics education based on three perspectives of situated cognition theory the embodiment thesis, the embedding thesis, and the extension thesis.

• School Mathematics
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• v.16 no.3
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• pp.633-657
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• 2014

This study aims to verify the effect of the situated learning-based instruction on mathematics learning of sixth-grade elementary school students. For this purpose, this study examined the differences in mathematical learning achievement and mathematical attitude between a group participating in the situated learning-based class and a group participating in the normal instructor-led mathematics class. Moreover, this study verified the educational effect of the situated learning-based class by analyzing teacher's role in the class and students' way of participating in the class. The study results are as follows. First, the situated learning-based class positively influenced students' mathematics achievement and mathematical attitude. Second, teacher performed a role as a learning guide and facilitator. Third, other became an object to give help to or to learn from in the situated learning-based class. These situations had a positive influence on the organization of knowledge through active efforts of students for communication and problem solving which belongs to a cooperative socialization process happening in the class.

• Journal of Science Education
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• v.39 no.3
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• pp.333-342
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• 2015

The purpose of this research was to investigate the effect of physics learning through the teaching-learning strategy of phased context in introductory physics classes. The participants in the study included 35 university freshmen. The teaching-learning strategy of phased context were developed by idealizing, extending and comparing contexts which were then applied in introductory physics classes : six hour classes about straight line motion, two-dimensional motion and Newton's laws of motion. The effects of the physics learning were then analyzed by the FCI (Force Concept Inventory) and MPEX (Maryland Survey on Physics Expectation) questionnaires. The results showed that the teaching-learning strategy of phased context helped change the force concept and did not change the belief about physics learning. Finally, based on the results of the study, we discuss possible educational implications for phased context in introductory physics classes.

• The Journal of Korean Association of Computer Education
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• v.13 no.6
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• pp.1-8
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• 2010

As ubiquitous computing is evolving, RFID/USN technology is largely applied to various fields. Although there has been much research on the improvement of educational environment using RFID/USN technology, there has been little research on the learning improvement using it. So, in this paper, we used RFID/USN technology to find out the location and situation of students for Chinese situation learning system. We developed a mobile RFID middleware for Chinese situation learning system reflecting Chinese characteristics compared with English on PDA. In USN environment, we designed a USN system, which gets the situation information through a sensor network with sensors and sends them for helping learners study in situation learning. We took a pilot test to a small group for the analysis of the system.

• KIPS Transactions on Software and Data Engineering
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• v.9 no.1
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• pp.25-32
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• 2020

In the context-aware system, rule-based AI technology has been used in the abstraction process for getting context information. However, the rules are complicated by the diversification of user requirements for the service and also data usage is increased. Therefore, there are some technical limitations to maintain rule-based models and to process unstructured data. To overcome these limitations, many studies have applied machine learning techniques to Context-aware systems. In order to utilize this machine learning-based model in the context-aware system, a management process of periodically injecting training data is required. In the previous study on the machine learning based context awareness system, a series of management processes such as the generation and provision of learning data for operating several machine learning models were considered, but the method was limited to the applied system. In this paper, we propose a training data generating method of a machine learning model to extend the machine learning based context-aware system. The proposed method define the training data generating model that can reflect the requirements of the machine learning models and generate the training data for each machine learning model. In the experiment, the training data generating model is defined based on the training data generating schema of the cardiac status analysis model for older in health status notification service, and the training data is generated by applying the model defined in the real environment of the software. In addition, it shows the process of comparing the accuracy by learning the training data generated in the machine learning model, and applied to verify the validity of the generated learning data.