• 한국HCI학회:학술대회논문집
• /
• 2006.02a
• /
• pp.918-925
• /
• 2006

Recent development of teachable agent provides learners with active roles as knowledge constructors and focuses on the individualization. The aim of this adaptive agent is not only to maximize the learner's cognitive functions but also to enhance the interests and motivation to learn. In order to establish the relationships among user characteristics and response patterns and to extract the algorithm among variables, we measured the individual characteristics and analyzed logs of the teachable agent named KORI (KORea university Intelligent agent) through the student modeling. A correlation analysis was conducted to identify the relationships among individual characteristics, user responses, and learning outcomes. Among hundreds of possible relationships between numerous variables in three dimensions, nine key user responses were extracted, which were highly correlated with either individual characteristics and learning outcomes. The results suggest that certain type of learner responses or the combination of the responses would be useful indices to predict the learners' individual characteristics and ongoing learning outcome. This study proposed a new type of dynamic assessment for individual differences and ongoing cognitive/motivational learning outcomes through the computation of responses without measuring them directly. The construction of individualized student model based on the ongoing response pattern of the user that are highly correlated with the individual differences and learning outcome may be the useful methodology to understand the learner's dynamic change during learning.

• Journal of the Korean Dietetic Association
• /
• v.18 no.2
• /
• pp.170-185
• /
• 2012

The purpose of this study was to explore nutrition teachers/dietitians' perception towards production management practices as well as the importance & performance of nutrient preservation during production by school foodservices. A total of 120 school nutrition teachers/dietitians in the Daegu area participated in this study. The data were analyzed by descriptive analysis, t-test, and ANOVA using SPSS/Windows (ver 17.0). A questionnaire consisted of three dimensions with 66 items concerning the general characteristics of schools and respondents, production management practices, and perceived importance and performance of nutrient preservation. Exactly 79.2% of dietitians responded that scheduling of production management is necessary, and 52.5% of respondents perceived that their knowledge for nutrient preservation is of normal/average level. Thirty-eight percent of respondents did not establish scheduling of production management; according to them, cooking stage has priority over other stages of nutrient preservation. Perceived importance score was higher than perceived performance score in all stages of production management. The difference between perceived importance and performance in the production scheduling stage was found to be statistically significant. The results indicate that nutrition control point should be established and managed to prevent nutrient loss in all production stages. Further, dietitians who do not take measures to reduce nutrient loss should be carefully educated on the importance of nutrient control and be motivated to follow guidelines on nutrient preservation.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.10 no.9
• /
• pp.4087-4107
• /
• 2016

The current cloud computing paradigm is still vulnerable to a significant number of system failures. The increasing demand for fault tolerance and resilience in a cost-effective and device-independent manner is a primary reason for creating an effective means to address system dependability and availability concerns. This paper focuses on online failure prediction for cloud computing systems using system runtime data, which is different from traditional tolerance techniques that require an in-depth knowledge of underlying mechanisms. A 'failure prediction' approach, based on Cloud Theory (CT) and the Hidden Markov Model (HMM), is proposed that extends the HMM by training with CT. In the approach, the parameter ω is defined as the correlations between various indices and failures, taking into account multiple runtime indices in cloud computing systems. Furthermore, the approach uses multiple dimensions to describe failure prediction in detail by extending parameters of the HMM. The likelihood and membership degree computing algorithms in the CT are used, instead of traditional algorithms in HMM, to reduce computing overhead in the model training phase. Finally, the results from simulations show that the proposed approach provides very accurate results at low computational cost. It can obtain an optimal tradeoff between 'failure prediction' performance and computing overhead.

• Journal of Biosystems Engineering
• /
• v.14 no.2
• /
• pp.67-79
• /
• 1989

This study was conducted to investigate the applicability of true model theory for pull prediction in a powered lugged wheel-soil system and to examine the possibility of using principles of similitude in investigating the dimensions of soil parameters pertinent to a powered lugged wheel-soil system concerning the pull prediction. The following conclusions were derived from the study; 1) The pull of prototype wheels proved to be predicted by those of the model wheels for the range of the dynamic weight tested. The pull curves of models and prototype were respectively very similar in the shape. From this basic knowledge, it was enabled to apply the similitude theory to the performance prediction of the true model. 2) A conditional equation which can be used for the prediction of pull of prototype by model test was derived as follows. $n_f=n_1^{-b}$ where $n_f$ : force scale = $w/w_m$ $n_1$ : length scale = ${\ell}/{\ell}_m$ b : exponent on the length dimension of the soil property ${\alpha}$ The range of the numerical value of b, which was determined by the least square method, was found to be -2.0~-2.6. 3) Considering a relatively wide variation of b values in the pull prediction, b is considered to be a function of many variales. Thus it was concluded that there are several soil properties which are pertinent to the powered lugged-wheel-soil system concerning the pull prediction, and these soil properties may have the different effects on the pull of model and protytype wheels, to give the different dimension on the soil parameters.

• Journal of Korean Library and Information Science Society
• /
• v.36 no.3
• /
• pp.85-107
• /
• 2005

The purpose of this study is to develop an evaluation indicator of institutional repositories to be used by participating university libraries of dCollection. Based on the literature reviews of digital library evaluation, core evaluation measures and criteria were identified. In order to verify the applicability and appropriateness of those evaluation criteria for institutional repositories, two methods were employed: A case study with sixteen university libraries and a Delphi study with twenty university libraries. The results of both studies led the development of an evaluation model which consisted of four evaluation dimensions and 29 criteria. This evaluation model should be utilized as tools for objective assessment and guidelines for improving institutional repository services by universities libraries in which the dCollection is currently Implemented or the future plan of the dCollection is underway.

• Journal of the Korea Society for Simulation
• /
• v.25 no.2
• /
• pp.93-100
• /
• 2016

The purpose of this study is to investigate the impacts of individual difference toward technology and situational influences on use intention of Self-Service Technology. While the previous research related to SSTs focuses on individual tendency toward technology, little research has been done on the impact of situational influences on usage intention of SSTs. This study proposed Technology Readiness Index for measuring individual tendency toward technology and categorized situational influences into two dimensions: location convenience, employee presence. The empirical testing of the research was conducted on 20' users who have prior experience in using SSTs except for ATMs in bank. This study demonstrated that the people who are favorable emotions positively affect SSTs. Also this study confirmed that it is effective to build strategies to form favorable attitude and usage intention of knowledge of SSTs rather than method through service employees. Finally, SSTs were distributed for customers.

• Proceeding of Spring/Autumn Annual Conference of KHA
• /
• 2008.11a
• /
• pp.140-143
• /
• 2008

As the number of family living alone is expected to soar due to a change in socio-demographics like divorce, more middle-aged women returning to work, homes become smaller and so on. In addition to in 2020 these people will be increase so that 85 percent of the Koreans compose elderly living alone who is over 65. This study aims at developing a sharing-typed elderly people-centered rental model which is accessible in the community integration dimension as an alternative and finding out theirconscious, their need about residence. and we need to check about their major requirements on improvement step by step. so that we suggest the desirable way on the existing multi house. The model provides benefits in the social, economical and pragmatic dimensions as the families living alone get together and living with others, Particularly, as a residence model which reduces a psychological loneliness and at the same time enables the elderly to continue to live a life in the community while they live together with other people, this model could be a strategy which supports the "Aging in Place." This study is in progress via small group workshop which debate gradually about special subject with similar group member. So we can find the residence's preference on living environment in various condition and the member can imagine freely on their future living arrangement by giving the various informations which can be proceed in future. The workshop proceed three times. at the first workshop, we're check their living environment and satisfaction level. and second time we give the knowledge about shared-type rental house then discuss about the model. and last time we're listen to the residence's opinion.

• The Mathematical Education
• /
• v.56 no.1
• /
• pp.119-130
• /
• 2017

The purpose of this study is to explain the long term growth and development of elementary teachers' Professional Learning Communities(PLC) about mathematics implemented on an institutional basis. Especially, it is meaningful to analyze and present the development process and characteristics of PLC, which was started by the basis on the collaboration of a National University of Education and its affiliated elementary school. In this study, PLC activities during three years were analyzed according to the capacities and dimensions of a professional learning community. The developmental capacity of the PLC analyzed in this study can be summarized as follows. In the first year, development of organizational competence in terms of capacity, resources, structure, and system of exchanges was the main factor in personal competence, and the development of individual competence began to share collective learning and practice. In the second year, personal exchanges were active in all the topics of activities, and personal level competence was activated such that more activities of critical knowledge formation were performed on an individual level. On the basis of the development of the individual level formed in the second, individual competence and organizational capacity developed. Factors that have influenced the development of capacities of PLC include: disclosure of activities outside the community, participation in outsiders, provision of procedures to share equal participation and leadership, voluntary and critical participation of teachers, improvement of mathematics teaching methods, sharing themes and visions.

• The Journal of the Korea Contents Association
• /
• v.10 no.2
• /
• pp.372-380
• /
• 2010

Generally, data mining is the process of analyzing data from different perspectives and summarizing it into useful information that can be used to increase revenue, cuts costs, or both. It allows users to analyze data from many different dimensions or angles, categorize it, and summarize the relationships identified. Technically, data mining is the process of finding correlations or patterns among dozens of fields in large relational databases. Data mining is one of the fastest growing field in the computer industry. Because of According to computer technology has been improving, Massive customer data has stored in database. Using this massive data, decision maker can extract the useful information to make a valuable plan with data mining. Data mining offers service providers great opportunities to get closer to customer. Data mining doesn't always require the latest technology, but it does require a magic eye that looks beyond the obvious to find and use the hidden knowledge to drive marketing strategies. Automotive market face an explosion of data arising from customer but a rate of increasing customer is getting lower. therefore, we need to determine which customer are profitable clients whom you wish to hold. This paper builds model of customer loyalty detection and analyzes customer buying patterns in automotive market with data mining using decision tree as a quinlan C4.5 and basic statics methods.

• The Journal of Korean Association of Computer Education
• /
• v.17 no.1
• /
• pp.51-63
• /
• 2014

Learning objectives is used to be a good guidance of a class evaluation and activity design for an effective teaching and learning activities in class. Anderson's taxonomy of Educational Objectives that was a revision of Bloom's taxonomy has presented in research field of other subject matters and used as a better guideline for analyzing learning objectives in textbook and achievement levels in test recently. This study has behaved some questionnaires for that Anderson's taxonomy is suitable for a guideline of stating learning objective in Informatics subject matter, and analyzed the learning objectives in 6 Informatics textbooks by Anderson's taxonomy. It has proposed that Anderson's taxonomy is satisfactory for expressing learning objective of Informatics subject matter in class and some dimensions, such as conceptual and procedural knowledge, understand, and apply, are much more used in learning objectives in 6 Informatics textbooks. This results will be a good case study in research about taxonomy of educational objectives and development of Informatics textbooks.