• Journal of The Korean Association of Information Education
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• v.8 no.2
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• pp.191-201
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• 2004

In accordance with wide spread of personal computer and the expansion of network access, the use of internet has been popular and communication by text message is much more normal than that of voice and image. Accordingly, the side effect of communication language brings about gap between diverse social class, the isolation of communication between generations, abusive expressions, obstacles of juvenile mental development and so on. It appears by the form of slang and vulgar word and has a negative effect on education of mother tongue and usage of children's real language. To deal with these problems, we developed new web-based education system through the analysis of learners' requirement; "Barun Mal, Goeun Mal class". So we verified its efficiency to apply to real class. We also found that this system increased the learners' interest and educational effectiveness. Also, this system contributed to the proper use of language.

• The Journal of Korean Institute for Practical Engineering Education
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• v.2 no.2
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• pp.68-73
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• 2010

For engineers in the knowledge-based society of the 21st century, not only the specialty in their major field, but also the capabilities of creative thinking/reading/writing, of communication and of understanding society/business/economy, and the knowledge of specialized liberal arts, like ethics, are required. For the specialized liberal arts knowledge, it is important to have interest in a field, read the relevant literature, and summarize and express thoughts, but in reality, it is difficult to accomplish a higher level of learning outcome within the limited regular curriculum. In this study, an application for smart phones that purports to cultivate the specialized liberal arts knowledge of the students enrolled in the college of engineering was developed and applied to classes. Under this environment, a teacher can interact with teacher's students through the structured knowledge on a real-time basis in any place at any time, and the students can reorganize the knowledge by themselves. In this way, this paper proposed a way of improving the level of specialized liberal arts knowledge in daily life.

• The KIPS Transactions:PartD
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• v.13D no.7 s.110
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• pp.1027-1038
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• 2006

There are many technical problems in the recommendation system based on very large database(VLDB). So, it is necessary to study the recommendation system' structure and the data-mining technique suitable for the large scale Internet shopping mail. Thus we design and implement the product recommendation system using k-means clustering algorithm and sequential pattern technique which can be used in large scale Internet shopping mall. This paper processes user information by batch processing, defines the various categories by hierarchical structure, and uses a sequential pattern mining technique for the search engine. For predictive modeling and experiment, we use the real data(user's interest and preference of given category) extracted from log file of the major Internet shopping mall in Korea during 30 days. And we define PRP(Predictive Recommend Precision), PRR(Predictive Recommend Recall), and PF1(Predictive Factor One-measure) for evaluation. In the result of experiments, the best recommendation time and the best learning time of our system are much as O(N) and the values of measures are very excellent.

• Journal of the Korean Institute of Intelligent Systems
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• v.1 no.1
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• pp.9-25
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• 1991

This tutorial paper has been written for biologists, physicians or beginners in fuzzy sets theory and applications. This field is introduced in the framework of medical diagnosis problems. The paper describes and illustrates with practical examples, a general methodology of special interest in the processing of borderline cases, that allows a graded assignment of diagnoses to patients. A pattern of medical knowledge consists of a tableau with linguistic entries or of fuzzy propositions. Relationships between symptoms and diagnoses are interpreted as labels of fuzzy sets. It is shown how possibility measures (soft matching) can be used and combined to derive diagnoses after measurements on collected data. The concepts and methods are illustrated in a biomedical application on inflammatory protein variations. In the case of poor diagnostic classifications, it is introduced appropriate ponderations, acting on the characterizations of proteins, in order to decrease their relative influence. As a consequence, when pattern matching is achieved, the final ranking of inflammatory syndromes assigned to a given patient might change to better fit the actual classification. Defuzzification of results (i.e. diagnostic groups assigned to patients) is performed as a non fuzzy sets partition issued from a "separating power", and not as the center of gravity method commonly employed in fuzzy control. It is then introduced a model of fuzzy connectionist expert system, in which an artificial neural network is designed to build the knowledge base of an expert system, from training examples (this model can also be used for specifications of rules in fuzzy logic control). Two types of weights are associated with the connections: primary linguistic weights, interpreted as labels of fuzzy sets, and secondary numerical weights. Cell activation is computed through MIN-MAX fuzzy equations of the weights. Learning consists in finding the (numerical) weights and the network topology. This feed forward network is described and illustrated in the same biomedical domain as in the first part.

• Journal of the Korean Geographical Society
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• v.47 no.6
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• pp.955-974
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• 2012

This study investigated six teachers who used the lessons utilizing geospatial technologies including GPS and Google Earth. The lessons were designed to ask students to solve problems with the technologies rather than to teach students to just use technology and teachers to function more as a facilitator. Key findings include: (1) The teachers with background and interest in learner-centered teaching were more effective in implementing the lessons with their students while the teachers who were familiar with teacher-centered instruction often reduced learners' roles in the lesson; (2) Generally, students expressed huge interests in the lessons. Changes in attitude and participation toward lessons were more clearly observed from low achievers and passive learners; (3) Key influencing factors in adoption of lessons utilizing geospatial technologies were school culture toward innovativeness, characteristics of school administrators, learning experience of the lessons during the workshops, and support systems for lesson preparation and implementation.

• Journal of the Korean Society for information Management
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• v.20 no.1
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• pp.231-250
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• 2003

The rapid advances in information technologies have resulted in not only the proliferation of the amount of information available but also the variety of information formats. Information literacy is the set of skills needed to find, retrieve, analyze, and use information. Therefore, information literacy which should be the core goal of the university education has been a new trend of the library instruction. Nevertheless, despite the increasing Interest in the information literacy. there has been little discussion about educational Programs. and there has been little coordination between faculty and librarians on the programs. Under such circumstances, campus-wide teamwork is needed so that the library instruction can become part of the entire learning Processes of university education. This Paper presents an overview of the models adopted by foreign university libraries and also analyses the successful cases of the campus-wide partnership of each model of information literacy programs. Based on these. the outline of the needed procedure for the enforcement of the information literacy in the university of our country is suggested.

• Journal of Elementary Mathematics Education in Korea
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• v.20 no.3
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• pp.457-477
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• 2016

The purpose of this study is to analyze and diagnose the type of errors indicated by the students in the process of calculation of the fractional multiplication and division, and to propose teaching methods, to effectively correct errors. The results obtained through this study are as follows. First, based on the results of the preliminary examination, 6 types of errors of the fractional multiplication and division has been organized. In particular, the most frequent types of errors are algorithm errors. Therefore, a teacher should explain the meaning and concept of fractional multiplication and division. Second, 4 prescription methods are proposed for understanding fractional multiplication and division. Third, according to the results of this study, it was effective to diagnose underachievers' error types and give corrective lesson according to the cause of the error types. Throughout the study, it's concluded that it is necessary to analyze and diagnose the error types of fractional multiplication and division, and then a teacher can correct error types by 4 proposed prescription methods. Also, 5 students showed interest while learning, and participated actively.

• Communications of Mathematical Education
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• v.25 no.4
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• pp.681-691
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• 2011

Mathematics curriculum according to 2009 Revised National Curriculum suggests that school mathematics must cultivate interest and curiosity about mathematics in addition to creative thinking ability of students, and ability and attitude of observing and analyzing many things happening around. Centroid of a triangle in 2007 Revised National Curriculum is defined as 'an intersection point of three median lines of a triangle' and it has been instructed focusing on proof study that uses characteristic of parallel lines and similarity of a triangle. This could not teach by focusing on the centroid itself and there is a problem of planting a miss concept to students. And therefore this writing suggests centroid must be taught according to its essence that centroid is 'a dot that forms equilibrium', and a justification method about this could be different.

• Journal of Elementary Mathematics Education in Korea
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• v.12 no.2
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• pp.165-183
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• 2008

This study is to help to understand the influence of exchange writing activity in the elementary mathematics on students' mathematical communication skill. Various technical activities had been implemented during the classes and the ideas from those activities had been interpreted into writings in the final stage of the classes. Those writings, then, were distributed to other students or teachers in order to devise a teaching model for exchange writing, which is to be applied to the 3rd grade classes and to identify the influence on the in mathematical communication skill. From this study, we could get such conclusions as follows: First, there was considerable difference between experimental group practicing exchange writing and control group engaging in normal learning activities in the progress of their mathematical communication skill (group discussion), writing skill and expressivity when examining their average communication skill using t-method. Similar trend had been witnessed when self-evaluating their mathematical communication skill. Second, when it comes to the mathematical tendency, experimental group showed a higher tendency in positiveness compared to the control group. Therefore, we might conclude that the exchange writing has a positive influence on the students' mathematical tendency, especially on their curiosity or interest in teaming, willingness to study and their comprehension of its importance.

• Journal of KIISE:Computing Practices and Letters
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• v.7 no.6
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• pp.684-695
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• 2001

Recent recommender system uses a method of combining collaborative filtering system and content based filtering system in order to solve sparsity and first rater problem in collaborative filtering system. Collaborative filtering systems use a database about user preferences to predict additional topics. Content based filtering systems provide recommendations by matching user interests with topic attributes. In this paper, we describe a method for discovery of user preference through combining two techniques for recommendation that allows the application of machine learning algorithm. The proposed collaborative filtering method clusters user using genetic algorithm based on items categorized by Naive Bayes classifier and the content based filtering method builds user profile through extracting user interest using relevance feedback. We evaluate our method on a large database of user ratings for web document and it significantly outperforms previously proposed methods.