• The Journal of Korean Association of Computer Education
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• v.6 no.3
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• pp.65-73
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• 2003

Most web-based learning is furnishing single side and consistent training resource to learner. Research was gone to apply item analysis method or to introduce web-based learning system using studying pattern. But, we need complicated algorithm or parameter setting etc, for apply these method. Therefore, in this research, we design and implement an item selection system in consideration of learner's incorrectness rate and problem frequency selection rate about question of item selection attribute. Also, as that embody business logic about item selection by EJB, efficient system development is available and we improved maintenance and reusability.

• Management & Information Systems Review
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• v.9
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• pp.165-177
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• 2002

The purpose of this comparative study is to compare and evaluate international arbitration and forum selection agreements. Recent decades have seen an unparalleled expansion of global trade and investment. Business enterprises of every description ann find themselves entangled in legal proceedings with foreign companies or government entities. Thus, the costs of these proceedings and the consequences of losing are often substantial. Almost, every international commercial controversy poses a critical preliminary question - 'where, and by whom, will this dispute be decided?' the answer to this question often decisively affects a dispute's eventual outcome. It can mean the difference between winning and losing. between de minimis damages and a multimillion dollar award. The same dispute can have materially different outcomes in different forums. Because of the importance of forum selection, parties to international contracts often include contractual dispute resolution provisions in their agreements. These provisions significantly reduce the uncertainties inherent in international commercial disputes, and can offer a substantial measure of partisan advantage. as a consequence, it is almost always advisable to include a contractual dispute resolution provision in any international contract. These provisions typically take the form of : (1) forum selection clauses, or (2) arbitration agreements.

• The KIPS Transactions:PartD
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• v.12D no.3 s.99
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• pp.471-480
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• 2005

Most questions made for remote examinations on web-based education system use methods of making questions using fixed questions or randomly using item pools or automatically using degree of difficulty. Particularly, automatically selection methods using degree of difficulty is the kernel of a question that objectivity of the first degree of difficulty for questions and an effective questions selection using degree of difficulty and mediateness degree of difficulty based result of examination. This paper is use automatically selection methods for examination on web-based education system. Firstly, we present new question selection algorithms as regards degree of difficulty and distribution between all units. Secondly, we present new algorithms of mediateness degree of difficulty as regards education ability of students for adjust the degree of difficulty. We identified this algorithms is more effective as compared with previously algorithms on web-based education system.

• The KIPS Transactions:PartB
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• v.17B no.4
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• pp.327-332
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• 2010

Word mismatch is the most significant problem that causes low performance in question classification, whose questions consist of only two or three words that expressed in many different ways. So, it is necessary to apply word association in question classification. In this paper, we propose question classification method using translation-based language model, which use word translation probabilities for question-question pair that is learned in the same category. In the experiment, we prove that translation probabilities of question-question pairs in the same category is more effective than question-answer pairs in total collection.

• Journal of the Korean School Mathematics Society
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• v.18 no.4
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• pp.431-448
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• 2015

Elementary school teacher selection test has to be implemented for knowledge(MKT) to estimate and to be a step in the expansionary direction. For this, It has to be analyzed closely in terms of teacher's MKT first that questions set from selection tests until now. In this research, some standards were established by type of question, grade, contents field and subject from 84 mathematics questions set at examinations. And it was analyzed concretely by general tendency and produced the results of analysis related to elementary teacher's MKT in elementary school teacher selection test since year 2000. The results showed that descriptive and short answer type was mostly set(71.4%) in type of question and integrated grade type was mostly set(41.7%) in type of grade in elementary school teacher selection test. And in type of contents field, rated from highest to lowest, number and operations(31.0%), measurement(23.8%), figure(15.5%) were set. Textbook/manual(34.5%), solution of problem(26.2%), learning psychology(13.1%) in status of subject were followed in order, but there's no relationship with estimation. This research was based on a standard of precedent study and made an analysis of elementary mathematics questions of selection test since year 2000. Therefore, it has a meaning because of produced results from analysis related to elementary teacher's MKT.

• Journal of Korea Society of Industrial Information Systems
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• v.9 no.3
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• pp.11-18
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• 2004

It is making researches in questions selection method for examination in web-based education system. Most questions made for these remote examinations use methods of making questions using fixed questions or randomly using item pools or automatically using degree of difficulty. This paper proposes a new examination questions selection algorithm in web-based education system for engineer test. Generally, Engineer test is characterized by adequate examination questions selection for degree of difficulty and equally between all units. Therefore this algorithm selected examination questions equally well as regards degree of difficulty and distribution between all units. This algorithm providers more effective education examination method as compared with previous algorithm.

• Journal of KIISE
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• v.43 no.10
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• pp.1085-1093
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• 2016

Community-based Question Answering system is a system which provides answers for each question from the documents uploaded on web communities. In order to enhance the capacity of question analysis, former methods have developed specific rules suitable for a target region or have applied machine learning to partial processes. However, these methods incur an excessive cost for expanding fields or lead to cases in which system is overfitted for a specific field. This paper proposes a multiple machine learning method which automates the overall process by adapting appropriate machine learning in each procedure for efficient processing of community-based Question Answering system. This system can be divided into question analysis part and answer selection part. The question analysis part consists of the question focus extractor, which analyzes the focused phrases in questions and uses conditional random fields, and the question type classifier, which classifies topics of questions and uses support vector machine. In the answer selection part, the we trains weights that are used by the similarity estimation models through an artificial neural network. Also these are a number of cases in which the results of morphological analysis are not reliable for the data uploaded on web communities. Therefore, we suggest a method that minimizes the impact of morphological analysis by using character features in the stage of question analysis. The proposed system outperforms the former system by showing a Mean Average Precision criteria of 0.765 and R-Precision criteria of 0.872.

• Journal of Korea Society of Industrial Information Systems
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• v.9 no.4
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• pp.47-55
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• 2004

Most questions made for remote examinations on web-based education system use methods of making questions using fixed questions or randomly using item pools or automatically using degree of difficulty. Particularly, automatically selection methods using degree of difficulty is the kernel of a question that objectivity of examination questions by degree of difficulty adjustment based result of examination. This paper is use automatically selection methods for examination on web-based education system. Therefore we present new algorithms of mediateness degree of difficulty as regards education ability of students for adjust the degree of difficulty. We identified this algorithms is more effective as compared with previously algorithms on web-based education system

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2008.08a
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• pp.160-164
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• 2008

Most questions made for remote examinations on E-learning databank based selection system use methods of making questions automatically using degree of difficulty. This methods is the kernel of a question selection that degree of difficulty as make test questions, and then needs continuous management for degree of difficulty. This paper present improved algorithms for dynamically adjustment of degree of difficulty based on examination result that is more efficient set of question. We identified this algorithms is more effective as compared with previously algorithms on web-based education system.

• The Journal of Korean Association of Computer Education
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• v.22 no.3
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• pp.55-65
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• 2019

In programming language learning system of flip learning methods, the evaluation of cyber lectures generally proceeds from online to multiple choice questions. In this case, the questions are randomly extracted from the question bank and given to individual learners. In order for these evaluation results to be reflected in the grades, the equity of the examination question is more important than anything else. Especially in the programming language subject, the degree of difficulty that learners think can be different depending on the type of problem. In this paper, we classify the types of multiple-choice problems into two categories, and manage the difficulty level by each type. And we propose a question selection algorithm that considers both difficulty level and type of question. Considering the characteristics of the programming language, experimental results show that the proposed algorithm is more efficient and fair than the conventional method.