• Journal of Educational Research in Mathematics
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• v.8 no.1
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• pp.217-235
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• 1998

The purpose of this study is to define the altenative assessment and to suggest the method of scoring system. Alternative assessment includes any type of assessment in which student create reponses to a question rather than choosing a responses form given list( as for multiple choice, true/false, or matching). Alternative assessment can includes short answer questions, essay, performances, oral presentation, demonstrations, exhibitions, portfolios, and etc. To evaluate the each type of assessment, we can apply the method of holistic scoring and analytic scoring system. Also we have to concern the type of scoring mechanism directly relate to what we want to assess, our purpose for assessment fitting into the educational enterprise. Before applying the alternative assessment in our classroom, we need to step back and reconsider all our design features and teachers' responsibility.

• MALSORI
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• no.66
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• pp.41-59
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• 2008

Knowledge in linguistic rhythm of the target language plays a major role in foreign language proficiency. This study attempts to discover valid rhythm features that can be utilized in automatic assessment of non-native English pronunciation. Eight previously proposed and two novel rhythm metrics are investigated with 360 English read speech tokens obtained from 27 Korean learners and 9 native speakers. It is found that some of the speech-rate normalized interval measures and above-word level metrics are effective enough to be further applied for automatic scoring as they are significantly correlated with speakers' proficiency levels. It is also shown that metrics need to be dynamically selected depending upon the structure of target sentences. Results from a preliminary auto-scoring experiment through a Multi Regression analysis suggest that appropriate control of unexpected input utterances is also desirable for better performance.

• Proceedings of the KOSOMBE Conference
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• v.1997 no.05
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• pp.395-397
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• 1997

We have applied the neural network method for the neural networkmethod for the automatic scoring of the sleep stage. 17 features are extracted from the recorded EEG, EOG and EMG signals. These features are inputed to tile multilayer perceptron model. Neural network was trained with error-back propagation method. Results are compared with manual scoring of the experts, and show the possibility of application of automatic method in sleep stage scoring.

• Proceedings of the KOSOMBE Conference
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• v.1997 no.05
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• pp.199-202
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• 1997

We are developing computer integrated polysomnography system. This system integrates conventional polysomnography with computer for data management, automatic analysis, scoring, and data transmission. In the first stage, we have developed the signal interface and user interface for the manual scoring and data management. For the automatic scoring of sleep stage, we have developed the protocol and have applied the analytic method in its primitive form. In the second stage we will develope a partially automatic scoring system, and finalize the fully automatic system in the final third stage.

• 제어로봇시스템학회:학술대회논문집
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• 1989.10a
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• pp.967-971
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• 1989

A new system for automatic scoring of 'organization' of the EEG dominant rhythm was constructed and applied to 18 normal subjects and 15 patients. Organization parameters which best represented the 'organization' as judged by 5 neurologists' visual inspection were calculated and the automatic organization scoring was obtained by a linear regression of those organization parameters. Furthermore, values of the regression coefficients were used to study the characteristics of EEG interpretation by each neurologist, and this scoring technique can also be applied to the training of EEG interpretation.

• IE interfaces
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• v.18 no.3
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• pp.268-276
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• 2005

In recent years, the money Laundering crimes are increasing by means of foreign exchange transactions. Our study proposes four scoring models to provide early warning of the laundering in foreign exchange transactions for both inward and outward remittances: logistic regression model, decision tree, neural network, and ensemble model which combines the three models. In terms of accuracy of test data, decision tree model is selected for the inward remittance and an ensemble model for the outward remittance. From our study results, the accumulated number of transaction turns out to be the most important predictor variable. The proposed scoring models deal with the transaction level and is expected to help the bank teller to detect the laundering related transactions in the early stage.

• Speech Sciences
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• v.11 no.2
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• pp.217-226
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• 2004

An automatic pronunciation correction system provides users with correction guidelines for each pronunciation error. For this purpose, we develop a speech recognition system which automatically classifies pronunciation errors when Koreans speak a foreign language. In this paper, we propose a machine scoring method for automatic assessment of pronunciation quality by the speech recognizer. Scores obtained from an expert human listener are used as the reference to evaluate the different machine scores and to provide targets when training some of algorithms. We use a log-likelihood score and a normalized log-likelihood score as machine scoring methods. Experimental results show that the normalized log-likelihood score had higher correlation with human scores than that obtained using the log-likelihood score.

• Communications for Statistical Applications and Methods
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• v.9 no.1
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• pp.271-280
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• 2002

Recently, many companies have applied data mining techniques to promote competitive power in the field of their business market. In this study, we address how data mining, that is a technique to enable to discover knowledge from a deluge of data, Is used in an executed project in order to support decision making of an enterprise. Also, we develope scoring model on customer attrition probability for automobile-insurance company using data mining techniques. The development of scoring model in domestic insurance is given as an example concretely.

• The Journal of Korean Physical Therapy
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• v.16 no.4
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• pp.235-245
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• 2004

The purposes of this study are to develop 'Squat Scoring Scale' and identify relationship between squatting score and flexibility of the lower extremity muscles such as quadriceps femoris and soleus in terms of relationship between squatting and functions of lower extremity. Subjects have normal gait patterns only with or without musculoskeletal problems of lower extremities, lumbar and pelvis and gender. There are sixty subjects who participated in this study. The scoring are checked after squatting posture according to 'Squat Scoring Scale', and measured ROM of the ankle dorsiflexion and knee flexion for flexibility of the soleus and quadriceps femoris, respectively. Fourteen of sixty subjects have 10 score, seventeen subjects have 9 score, seven subjects have 8, 7 and 6 scores, three subjects have 5 score, and five subjects have 4 score. The gap between 10 to 9, 9 to 8 and 8 to 7 score in all values of angles has the statistical significance for t-test(p<.05). This information indicates that flexibility of quadriceps femoris and soleus acts as important factors in squatting.

• Proceedings of the Korean Society of Agricultural Engineers Conference
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• 2005.10a
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• pp.436-442
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• 2005

The purpose of this study is to develop indices and a scoring method for effectively evaluating the project of rural well-longevity villages which makes up for insufficient parts of existing projects on improving settlement foundation and production environment. Evaluating indices include qualitative factors originated from the characteristics of the project so a scoring method based on an information measure technique is used for evaluating the results from each village. Evaluating indices are provided differently depending on each purpose for evaluation. Result indices can be used for ranking project villages and fundamental indices can be used to analyze villages elaborately to improve project plans.