• The Journal of Korean Association of Computer Education
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• v.19 no.6
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• pp.25-32
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• 2016

This study aims to suggest app programming education plan by analyzing the effects of app programming education using m-bizmaker on the creative problem solving ability in specialized high school students. Currently, The South Korean government is preparing to conduct SW education in primary and secondary schools. Developing smartphone apps that are familiar to students can be seen as a very effective tool of SW educational measures. In general, app development can only be achieved through specialized training on how to use the app programming language. So, many students think the app programming is difficult areas before creating apps because tired of learning how to an app programming language. As a result of applying app programming education using m-Bizmaker, which is one of the app authoring tools, to the class, it is desirable as an app programming education plan. And according to survey results, it has been proved that the app programming education plan using m-Bizmaker is effective to improve creative problem solving ability.

• Journal of Technologic Dentistry
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• v.34 no.4
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• pp.457-469
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• 2012

Purpose: The purpose of this study is analyzing how much students of dental technology possess core competencies and cognition between dental technicians and students. Methods: The subjects of this study were dental technicians, dental technology students and a self-administered structured questionnaire survey wax conducted for 428 selected people. Collected data were analyzed using SPSS Win 20.0 statistics program and analysis techniques include the frequency, t-test, One-way ANOVA. Results: The results of the survey are as follows. The cognition of key competency according to the gender in the students showed differences in interpersonal ability, information ability and the requirement of key competency according to the gender in the students showed differences in speaking ability, listening ability, problem solving ability. The cognition of key competency according to the grade in the students showed difference in speaking ability, listening ability and the requirement of key competency according to the grade in the students showed difference in comprehension of organization ability. The speaking ability is the lowest in the cognition of key competency according to the gender, grade, experience of clinical training in the students and the skill ability is the highest in the requirement of key competency according to the gender, experience of clinical training in the students. The cognition of key competency according to the career in the dental technicians showed difference in problem solving ability, self-regulation and self-development ability, skill ability and the requirement of key competency according to the career in the dental technicians showed difference in writing ability. The cognition of key competency according to the educational background in the dental technicians showed difference in comprehension of organization ability. The foreign language ability is the lowest in the cognition of key competency according to the career, job in the dental technicians and the skill ability is the highest and the math ability is th lowest in the requirement of key competency according to the career, place of employment in the dental technician. Conclusion: This study can be used as basic data for dental technology that are available not only to field-oriented disciplines but also to overall higher education fields which aim to strengthen key competency.

• Korean Journal of Childcare and Education
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• v.15 no.5
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• pp.23-45
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• 2019

Objective: The purpose of this study is to identify the longitudinal reciprocal relationship between young children's vocabulary ability and physical aggression in young children. Methods: Two waves of panel data(2013/2015) from the Panel Study of Korean Children were analyzed in this study by using an adapted version of Autoregressive cross-lagged modeling. A total of 306 five-year-old and seven-year-old preschoolers, and their mothers participated in the study. Autoregressive cross-lagged modeling for multiple groups was conducted by using AMOS 24.0. Results: First, vocabulary ability and physical aggression showed stability over time. Second, young children's vocabulary ability(t) had a statistically significant effect on physical aggression(t+1). Conclusion/Implications: This study confirmed the interrelationships of young children's vocabulary ability and physical aggression by examining longitudinal data using the longitudinal analysis method. This study highlights the importance of developing interventions to support language development with aggressive children. The results of the present study can be used as a source in developing policies for aggressive children and their parents.

• Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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• 2005.07a
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• pp.135-138
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• 2005

HDL(Hardware Description Language) is the most important modem tools used to describe hardware, and becomes important as we move to higher levels of abstraction. The HDL has been made brisk use of in analog design, MEMS device[1-2], process related field as well as digital design. The most important characteristics of HDL is Abstraction which is the strongest tool that extend greatly designer's design ability. In this paper by the Modelling Continuum with hierarchical structure of abstraction, we apply UML(Unified Modeling Language) to SoC Design with HDL UML makes an easy and visual description of the various levels of abstraction, and gives designers good flexible modeling capabilty for SoC Design.

• Journal of KIISE:Software and Applications
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• v.37 no.2
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• pp.129-136
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• 2010

In this paper, we present an Example-based Dialogue System for English conversation tutoring. It aims to provide intelligent one-to-one English conversation tutoring instead of old fashioned language education with static multimedia materials. This system can understand poor expressions of students and it enables green hands to engage in a dialogue in spite of their poor linguistic ability, which gives students interesting motivation to learn a foreign language. And this system also has educational functionalities to improve the linguistic ability. To achieve these goals, we have developed a statistical natural language understanding module for understanding poor expressions and an example-based dialogue manager with high domain scalability and several effective tutoring methods.

• Communications for Statistical Applications and Methods
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• v.16 no.4
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• pp.627-637
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• 2009

Our economic system highly depends on the international trade market and demands high level of foreign language abilities to the young generation. Scores of various internationally authorized language tests are used to estimate students's language ability before giving their admission to universities or high schools. According to increase of unemployment rate of the young people, universities put their strength on the language abilities of their students, and each university uses some authorized language scores before determining students who win scholarships. This study suggests two types of indices to evaluate students's relative achievement of foreign language abilities between two time points considering their current abilities. One, named one-side relative achievement index, is defined as the ratio of additional score between two time points to the remaining score at the base time point to the full score. The second one, named two-side relative achievement index, is defined as the same manner as the first one if the score is improved, and if not, is defined as the ratio of the amount of losing scores to the current score at the base time point. Two-side achievement index is more useful since it has smaller variation than the former and is easier to interpret. However, both indices are useful to compare the achievements of different tests.

• Journal of Intelligence and Information Systems
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• v.29 no.1
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• pp.27-40
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• 2023

With the increase in the spread of smart devices and the impact of COVID-19, the consumption of media contents through smart devices has significantly increased. Along with this trend, the amount of media contents viewed through OTT platforms is increasing, that makes contents recommendations on these platforms more important. Previous contents-based recommendation researches have mostly utilized metadata that describes the characteristics of the contents, with a shortage of researches that utilize the contents' own descriptive metadata. In this paper, various text data including titles and synopses that describe the contents were used to recommend similar contents. KLUE-RoBERTa-large, a Korean language model with excellent performance, was used to train the model on the text data. A dataset of over 20,000 contents metadata including titles, synopses, composite genres, directors, actors, and hash tags information was used as training data. To enter the various text features into the language model, the features were concatenated using special tokens that indicate each feature. The test set was designed to promote the relative and objective nature of the model's similarity classification ability by using the three contents comparison method and applying multiple inspections to label the test set. Genres classification and hash tag classification prediction tasks were used to fine-tune the embeddings for the contents meta text data. As a result, the hash tag classification model showed an accuracy of over 90% based on the similarity test set, which was more than 9% better than the baseline language model. Through hash tag classification training, it was found that the language model's ability to classify similar contents was improved, which demonstrated the value of using a language model for the contents-based filtering.

• Korean Journal of Child Studies
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• v.4
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• pp.37-51
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• 1983

The purpose of this study was the investigation of theoretical and empirical relationships between Piagetian and psychometric assessments of intelligence. Specifically, the factor structure of Piagetian-type scales, the relationship between Piagetian scales and psychometric intelligence tests, and differences in the factor structure of Piagetian and psychometric assessments of intelligence were studied. The subjects of this stuby were 70 children (35 boys and 35 girls) in the 1st grade of an elementary school in Seoul The Piagetian-type scales and the K-WISC were administered individually, and the General Intelligence Test was administered to groups of children. Statistical analysis of the obtained data consisted of the SPSS Computer program including factor analysis and Pearson's product moment correlation coefficient. The Piagetian-type scales were found to consist of three factors, which accounted for 55 percent of the total common-factor variance. Factor-I was a factor indicating "conservation". Factor-II was a factor indicating "moral judgements". Factor-III was a factor indicating "classification and identity". Correlations between subtests of psychometric tests and Piagetian scales were relatively low or moderate. Relations between IQs assessed by the psychometric tests and Piagetian scales were also relativeyly low or moderate. Eight factors were extracted from the joint factor analysis of psychometric intelligence tests and Piagetian scales, and they accounted for 67 percent of the total common-factor variance. Factors-I, II, III, and V consisted of subtests of psychometric assessments, and Factors-IV, VI, VII and VIII were composed of Piagetian scales. Factor-I was a factor for "reasoning ability based upon language". Factor-II was a factor for "performance ability". Factor-III was a factor for "grouping ability". Factor-IV was a factor for "conservation". Factor-V was a factor indicating "symbol and language usage ability". Factor- VI was a factor indicating "moral judgments". Factor-VII was a factor indicating "length consevation". Factor-VIII was a factor indicating "classification and identity".

• The Journal of Korean Association of Computer Education
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• v.12 no.4
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• pp.1-11
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• 2009

There are several studies in order to learn about programming language. This paper develops a peer agent system based on teaching and learning strategies in order to improve problem-solving ability. Problem-solving ability involves three components - content understanding, domain-dependent problem-solving strategies, and self-regulation. This paper shows the teaching and learning strategies about components of problem-solving for learning to program and the peer agent system uses the teaching and learning strategies. This study intents to analyze the educational effects of the peer agent system. The results show that the system has superior effects on problem-solving ability compared to traditional programming courses or pair programming courses. It means that the peer agent system is the effective educational system in improving student's problem-solving ability.

• The Journal of the Society of Stroke on Korean Medicine
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• v.16 no.1
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• pp.57-66
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• 2015

This report is about two cases of aphasia without hemiparesis after stroke. Most of aphasia after stroke accompanies hemiparesis. However, aphasia without hemiparesis after stroke occurs rarely and only a few cases have been reported. We used Korean herbal medication, acupuncture, language therapy. To evaluate speech ability we used K-WAB(Korean version of Western Aphasia Battery) and word span test. After treatment, patients' word span abilities and language abilities including reading, writing, speaking were improved. This report suggests that Korean medicine and language therapy could have a therapeutic effect for aphasia without hemiparesis after stroke.