• Journal of the Korea Society of Computer and Information
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• v.19 no.4
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• pp.101-109
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• 2014

This paper aims to design and implement a collaborative learning system based on the augmented reality. The existing augment reality-based learning systems have just focused on interactivity between a system and learners without consideration of cooperability, thereby leading to an ineffective approach to encouraging an learning system to be more supportive and conducive of and to cooperation among learners. The collaborative learning system is a learning method, with which learners achieve a common objective through critical thinking and cooperative teamwork so as to seek solutions to such fulfillment. This requires positive interdependence, proactive interactions, a sense of responsibility shared by individuals as well as the group, and development of teamwork among learners. Educators and systems assume a critical role in helping the collaborative education be effective. An educator is responsible for defining a project at the outset of learning activities, organizing groups for learners, and providing evaluation criteria applied to a group's project activities. Meanwhile, a system shall support interactions to take place while facilitating learning activities. Furthermore, an educator shall provide a system for managing and evaluating activities involving interactions among learners. This paper suggests and embodies a collaborative learning system based on the augmented reality with consideration of the aforementioned collaborative education.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.15 no.1
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• pp.209-219
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• 2011

Most of the computer-based distance learning systems are asynchronous ones that allow students to download from the server the lecture previously given by a lecturer. While these asynchronous systems has the advantage that enable students to view the lecture with no time restriction, the study may not be effective due to the lack of support for real-time interaction between students and lecturers. Based on the student-lecturer-collaboration session model, this paper presents a collaboration session-centric synchronous distance learning system that supports real-time interaction between students and teachers, awareness information during lecture, and feedback from students. Basic feature of the proposed system include audio and video conferencing, text-based chat, and shared slide with annotation support.

• Journal of the Korea Society of Computer and Information
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• v.15 no.2
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• pp.135-146
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• 2010

In this paper, we propose an Recommendation System for supporting self-directed learning on e-learning marketplace. The key idea of this system is recommendation system using revised collaborative filtering to support marketplace. Exisiting collaborative filtering method consists of 3 stages as preparing low data, building familiar customer group by selecting nearest neighbor, creating recommendation list. This study designs recommendation system to support self-directed learning by using collaborative filtering added nearest neighbor learning course that considered industry and learning level. This service helps to select right learning course to learner in industry. Recommendation System can be built by many method and to recommend the service content including explicit properties using revised collaborative filtering method can solve limitations in existing content recommendation.

• Proceedings of the Korea Information Processing Society Conference
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• 2012.11a
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• pp.1639-1641
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• 2012

본 연구에서는 기업에서의 e-Learning학습을 지원하기 위한 SNS기반의 소통 형 학습 및 협업 학습 지원 시스템을 개발하였다. 본 시스템은 e-Learning시스템에서 학습하고 평가하는 것을 넘어 SNS상에서 학습자 간 토론과 소통으로 학습자에게 보다 효과적인 학습환경을 제공하고 있다. 또한 학습자는 학습이 업무에 반영될 수 있도록 실제 학습자 업무 조직 별 토론과 팀 과제를 통해 실행 방법과 계획을 수립하게 함으로써 보다 효과적으로 학습이 업무에 활용될 수 있도록 지원하고 있다. SNS기반의 소통 형 학습시스템은 학습자에게 학습동기부여를 제공하여 보다 능동적인 학습참여를 유도하여 학습을 지원하고 있다.

• Journal of The Korean Association For Science Education
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• v.35 no.5
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• pp.885-893
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• 2015

In this study, we compared the use of information and communications technology (ICT) by middle school teachers in Korea and other countries utilizing the teacher survey data of the IEA International Computer and Information Literacy Study (ICILS) 2013. The ICILS target population consisted of all students in the eighth grade. We compared Korea with Australia, the Czech Republic, Norway, and Poland, which are nations showing the highest achievements in computer and information literacy. We selected nine questions from the teacher questionnaire and divided them into the categories of computer use, use of ICT for teaching and learning, and the ICT support environment in school. In comparison to their counterparts in other countries, Korean middle school science teachers used computers frequently and also had high ICT self-efficacy. They were confident in their ability to use computers for general tasks, but not in their ability to use computers for teaching and learning. The Korean teachers also had a high percentage of utilization of presentation and graphics software. Also, the proportion of activities concerning the information provided and teacher-led tasks was high, but the proportion of activities for student collaboration or peer interaction was low. In Korea, middle school science teachers had more negative than positive views of using ICT in teaching and learning. The teachers thought that computer-related resource support and digital learning materials were insufficient and that the computer model was outdated in schools. Therefore, we propose to build an ICT infrastructure and to develop and disseminate ICT teaching and learning methods for student activities.

• Journal of Digital Convergence
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• v.15 no.5
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• pp.37-48
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• 2017

Recently, the importance of software education is growing because computational thinking of software education is recognized as a key means of future economic development. Also human resources who will lead the 4th industrial revolution need convergence and creativity, computational thinking based on critical thinking, communication, and collaborative learning is known to be effective in creativity education. Software education is also a time needed to reflect social issues such as collaboration with developers sharing interests and open source development methods. Github is a leading social coding site that facilitates collaborative work among developers and supports community activities in open software development. In this study, we apply operational cases of basic learning of social coding sites, learning for storage server with sources and outputs of lectures, and open collaborative learning by using Github. And we propose educational model consisted of four stages: Introduction to Github, Using Repository, Applying Social Coding, Making personal portfolio and Assessment. The proposal of this paper is very effective for software education by attracting interest and leading to pride in the student.

• Journal of Advanced Technology Convergence
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• v.1 no.2
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• pp.01-09
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• 2022

Recently, safety issues in companies and public institutions are no longer a task that can be postponed, and when a major safety accident occurs, not only direct financial loss, but also indirect loss of social trust in the company and public institution is greatly increased. In particular, in the case of a fatal accident, the damage is even more serious. Accordingly, as companies and public institutions expand their investments in industrial safety education and prevention, open AI learning model creation technology that enables safety management services without being affected by user behavior in industrial sites where high-risk situations exist, edge terminals System development using inter-AI collaboration technology, cloud-edge terminal linkage technology, multi-modal risk situation determination technology, and AI model learning support technology is underway. In particular, with the development and spread of artificial intelligence technology, research to apply the technology to safety issues is becoming active. Therefore, in this paper, an open cloud platform design method that can support AI model learning for high-risk site safety management is presented.

• The Journal of Korean Institute for Practical Engineering Education
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• v.3 no.2
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• pp.18-26
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• 2011

Computational chemistry is one of the chemistry fields that deals with the theoretical chemistry problem using computer calculations and can be described as the chemistry lab moved on computer space. In line with recent enhancement of processing capability of computers, utilization of high performance computer cannot be overemphasized in the field of computational chemistry in performing complex calculation of huge molecular structure and simulation. While they have to use commands and consoles for high performance computer to execute complex calculation of huge molecular structure and simulation, most of students in natural science and engineering, who are not experts in computer technically, are likely to be unaware of UNIX. Under the circumstances, web-based educational support system for computational chemistry is needed to enable them to practice computational chemistry, even not knowing UNIX command. In this study, e-Chem, one of such educational support systems, is developed by using Liferay portal platform, which is a Java open source more oriented to standard and outstanding in its content management and collaboration function than other web portals. By using this system, even students who are not familiar with computer, are expected to take part in lab classes and save time learning Unix command and also enhance the learning efficiency by using familiar interface.

• Journal of the Korea Society of Computer and Information
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• v.24 no.12
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• pp.191-199
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• 2019

In this paper, we propose to develop a diagnosis tool for measuring digital competence for university student. To this end, 223 students participated for the survey research. Based on the survey by 6 domain and 40 questions, 6 factors and 18 questions for digital competence measurement were drawn throughout the factors analysis. The results of the confirmatory factor analysis showed the fact that 6 factors and 18 questions that satisfied the model-fit indexes statistically were finally confirmed. And the developed tool demonstrated good results in reliability and validity verification, which were suitable for measuring digital competence for university students. The developed measurement tool of digital competence for university students consisted of 6 sub-components such digital device operation, communication and collaboration, information searching, processing, and management, problem solving and learning, security, digital ethics. The digital competence measuring tool developed in this study is expected to be used to identify the current level of competences for university student, and to enhance their own digital competences through educational supports.