• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.4
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• pp.243-254
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• 2016

The purpose of this study was to examine the effects of collaborative learning and explore the learners' experiences in three dimensions: cognition, emotion and motivation. Another purpose of this study was to make an in-depth examination of learners' experiences during collaborative learning. Data were collected from 44 students at N university who participated in collaborative learning for 7 weeks. The results were as follows: First, collaborative learning had significant effects on the higher group of collaborative tendencies on academic achievements. Second, collaborative learning had no significant effects on their epistemological beliefs, the higher group of collaborative tendencies and the lower beliefs involving simple knowledge and tentative knowing. Finally, learners amassed cognitive, emotional, and motivational experience during collaborative learning. We suggest that the for the effective implementation of collaborative learning.

• Journal of KIISE:Computing Practices and Letters
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• v.16 no.9
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• pp.904-917
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• 2010

Much research on ontology has been done during the last decade in order to represent knowledge and connect data semantically in AI and Semantic Web areas. However, ontologies might be represented and defined in different ways depending on knowledge and intention of users. It causes heterogeneity problem that the same concept can be differently expressed. This paper introduces a XOB (XMDR-based Ontology Builder) system based on XMDR to resolve the problem. XOB creates ontologies by reusing classes and relations defined in XMDR. XOB therefore is able to either solve or minimize the heterogeneity problem among ontologies. This paper introduces the conceptual model and overall architecture of the proposed system XOB. This paper defines the process, algorithm, ontology generation rule that is required to create ontologies by using concepts registered in XMDR. Our proposal supports higher standardization than the previous approaches, and it provides many advantages such as consistent concept usage, easy semantic exchange, and so on. Therefore, XOB enables high-quality ontology creation and reduces cost for ontology integration and system development.

• Knowledge Management Research
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• v.21 no.4
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• pp.157-173
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• 2020

In accommodation sharing economy, customers take a risk of uncertainty about product quality, which is an important factor affecting users' satisfaction. This risk can be lowered by the information disclosed by the facility provider. Self-presentation of the hosts can make a positive effect on listing performance by eliminating psychological distance through emotional interaction with users. This paper analyzed the self-presentation text provided by Airbnb hosts and found key aspects in the text. In order to extract the aspects from the text, host descriptions were separated into sentences and applied the Attention-Based Aspect Extraction method, an unsupervised neural attention model. Then, we investigated the relationship between aspects in the host description and the listing performance via linear regression models. In order to compare their impact between the three facility types(Entire home/apt, Private rooms, and Shared rooms), the interaction effects between the facility types and the aspect summaries were included in the model. We found that specific aspects had positive effects on the performance for each facility type, and provided implication on the marketing strategy to maximize the performance of the shared economy.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.10a
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• pp.164-167
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• 2022

In table Machine comprehension, the knowledge required for language models or the structural form of tables changes depending on the domain, showing a greater performance degradation compared to text data. In this paper, we propose a pre-learning data construction method and an adversarial learning method through meaningful tabular data selection for constructing a pre-learning table language model robust to these domain changes in table machine reading. In order to detect tabular data sed for decoration of web documents without structural information from the extracted table data, a rule through heuristic was defined to identify head data and select table data was applied. An adversarial learning method between tabular data and infobax data with knowledge information about entities was applied. When the data was refined compared to when it was trained with the existing unrefined data, F1 3.45 and EM 4.14 increased in the KorQuAD table data, and F1 19.38, EM 4.22 compared to when the data was not refined in the Spec table QA data showed increased performance.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.44 no.6
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• pp.19-29
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• 2007

This paper introduces a robot knowledge framework which is represented with multiple classes, levels and layers to implement robot intelligence at real environment for mobile robot. Our root knowledge framework consists of four classes of knowledge (KClass), axioms, rules, a hierarchy of three knowledge levels (KLevel) and three ontology layers (OLayer). Four KClasses including perception, model, activity and context class. One type of rules are used in a way of unidirectional reasoning. And, the other types of rules are used in a way of bi-directional reasoning. The robot knowledge framework enable a robot to integrate robot knowledge from levels of its own sensor data and primitive behaviors to levels of symbolic data and contextual information regardless of class of knowledge. With the integrated knowledge, a robot can have any queries not only through unidirectional reasoning between two adjacent layers but also through bidirectional reasoning among several layers even with uncertain and partial information. To verify our robot knowledge framework, several experiments are successfully performed for object recognition and navigation.

• Journal of the Korea Convergence Society
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• v.8 no.1
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• pp.173-179
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• 2017

The purpose of this study is to theoretically explore the pedagogical meaning of Flipped Learning (FL) through the lens of Bakhtinnian Dialogism. Flipped learning has emerged based on technological development, which enables educators to reorganize educational space and time. In the new converged time and space, teachers changed the activities in and out of classes, flipped lectures with students' activity, and redefined the role of teachers and students. These dialogical characteristics of FL results in several educational consequences: first, underscoring educational dialogue, second, extending the participation in the dialogical chain, third, deconstructing the existing authority of knowledge, and escalating the self-directedness of learners.

• Journal of Korean Library and Information Science Society
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• v.40 no.4
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• pp.243-259
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• 2009

This study introduces strengths theory, a core subject of career development and job-getting, and discusses about the factors of strengths(namely talents, knowledge and skills), the processes of strengths personalization, and generating employability. It searches for opportunities to apply the concept of employability to the field of Library and Information Science now thrown under hard pressure from information and communication technology. Employability is defined here as competence to make oneself employable as needed by discovering or creating work opportunities using one's own tested personalized strengths. Employability is a package of systematically organized information about the essential abilities and productive personalities of a person, and it is essential to be duly cognitive of one's employability if one seriously intends to succeed in jobs and career. Since generation of employability heavily involves complex processes of information and knowledge-making, expertise from LIS, particularly from areas of personal information management(PIM) and personal knowledge management(PKM), is expected to help for process facilitation.

• KIISE Transactions on Computing Practices
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• v.23 no.1
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• pp.1-12
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• 2017

Preventive maintenance is required for best performance of facilities in large scale industry. Ultimately, the efficiency of production is maximized by preventing the failure of facilities in advance. Typically, regular maintenance is conducted manually; however, it is hard to prevent repeated failures. Also, since measures to prevent failure depend on proactive problem-solving by the facility expert, they have limitations when the expert is absent or diagnosis error is made by an unskilled expert. Alarm system is used to aid manual facility diagnosis and early detection. However, it is not efficient in practice, since it is designed to simply collect information and is activated even with small problems. In this study, we designed and developed an automated preventive maintenance system based on expert's experience in detecting failure, determining the cause, and predicting future system failure. We also discussed the system structure designed to reuse the expert's knowledge and its applications.

• Journal of the Korean School Mathematics Society
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• v.14 no.3
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• pp.241-263
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• 2011

On the standards or elements of teaching evaluation, the Korea Institute of Curriculum and Evaluation(KICE) has carried out several research as follows : 1) establishment of observation elements for selecting examples of good mathematics instruction between 2001 and 2002, 2) development of the standards on teaching evaluation between 2004 and 2006, and 3) investigation on the elements of Pedagogical Content Knowledge including ‘teaching and learning methods and assesment' between 2007 and 2008. The purposes of development of mathematics teaching evaluation standards through those studies were to improve not only mathematics teachers' professionalism but also their own teaching methods or strategies. In this study, the standards were revised and modified by analyzing the results of those three studies (namely, evaluation standards) focused on the knowledge of 'teaching and learning methods and assessment'. For this purpose, seventh evaluation domains such as instruction involving instructional goal and content, instruction involving problem-solving activity, instruction involving learners' achievement level and attitude, instruction on communication skills, planning of assessment method and procedure, development on assessment tool, application on assessment result in class were new established. According to those seventh evaluation domains, elements on teaching evaluation focused on the knowledge of 'teaching and learning methods and assessment' were established.

• The Journal of the Korea Contents Association
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• v.12 no.6
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• pp.21-31
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• 2012

The virtual reality consists of a virtual space constructed similar to the reality and agents residing in it. Our virtual space refers to an orderly space that is governed by such physical properties as mass, gravity, friction, and associated rules on top of the usual visual rendering. To construct this virtual world we are to develop virtual agents behaving like humans and the environment surrounding them. In order to improve the existing reactive agents designed to act to their designers' dictation in predetermined space or memory into autonomous agents, we need diverse kinds of knowledge among others related to the spaces for the agents to act in. Our design and implementation focuses on the spatial knowledge among those diverse aspects of knowledge required. The developed knowledge representation scheme is used on a basis for realistic and efficient physical cyber-environment, and as the knowledge structure to simulate the virtual agents' knowledges on spaces.