• 대한공업교육학회지
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• v.35 no.2
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• pp.1-24
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• 2010

The purpose of this study is to investigate provedly the effectiveness of the practice for the arts and crafts by machine for project based learning upon improving industrial high school students' key competency for vocation, and to provide the incumbent teachers and future teachers who want to conduct research, a similar study with the basic reference materials. The vocational key competencies interested in this study are communication ability, information usage skills, team work skills, problem solving skills, tool usage skills, and responsibility and confidence areas. Because the result of pre and post testing over these six areas has insignificant differences statistically, we reach a conclusion which project based learning is more effective than traditional practice methods at improving the vocational key competencies of industrial students. On the basis of the results of this study, I would like to suggest some kinds of things needed to improve the vocational key competencies of industrial high school students. First, we require the diverse research to investigate the best teaching and learning methods to cultivate people of ability with the vocational key competencies Second, it is required that to measure the extent of the improvement of the vocational key competencies of industrial high school students, we have to develop a more objective test tool than that used in this study. Third, in the light of facts that project based learning influences on improving the vocational key competencies of the industrial high school student, we will have to make an effort actively to find the best teaching and learning methods, like project based learning. Therefore, we need to give diverse training opportunities and financial support so that teachers can conduct research to find the best teaching and learning method at improving the vocational key competencies for industrial high school students.

• Journal of the Korea Convergence Society
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• v.11 no.12
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• pp.1-13
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• 2020

With the advent of an intelligent information society, research toward artificial intelligence education was conducted. In previous studies, the subject of research is biased, and studies that analyze attitudes toward artificial intelligence are insufficient. So, in this study developed a test tool to measure the artificial intelligence of high school students and analyze their attitudes toward artificial intelligence. To develop the test tool, 229 high school students completed a preliminary test, of which the results were analyzed via exploratory factor analysis. To analyze the students' attitudes toward artificial intelligence, the resulting test tool was applied to 481 high school students, and their test results were analyzed according to factors. From the study's results, there was no difference according to gender in the students' attitudes toward artificial intelligence, but there was a significant difference per grade. In addition, there was a significant difference in attitudes according to artificial intelligence-related experiences: the high school students who had direct and indirect experience with artificial intelligence, programming, and more frequently used it had more positive attitudes toward artificial intelligence than students without this experience. However, artificial intelligence education experience negatively influenced the students' attitudes toward artificial intelligence. Overall, the higher their interest in artificial intelligence, the more positive the high school students' attitudes toward artificial intelligence.

• The Journal of the Korea Contents Association
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• v.22 no.4
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• pp.106-117
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• 2022

In 2021, AI basics were introduced in the high school curriculum. There are many worries that the problem of utilization-oriented education will be repeated with the introduction of artificial intelligence education rather than the principles that occurred when ICT was applied to education in the past. Most of the existing AI education platforms focus only on the use of AI. For artificial intelligence education of middle school students, there are difficulties in learning about the process by which artificial intelligence derives results and learning the principles of artificial intelligence algorithms. Recently, as the educational application of metaverse has become a hot topic, research has been started to improve learning achievement by arousing students' immersion and interest. This research developed educational game contents about decision tree algorithm using metaverse as educational contents that can be used in middle school AI education. By applying games to education, it was intended to increase students' interest and immersion in artificial intelligence, and to increase educational effectiveness. In this paper, the educational effectiveness, difficulty, and level of interest were analyzed for pre-service teachers regarding the developed game content. Based on this, a future principle-oriented artificial intelligence education method was suggested.

• Phonetics and Speech Sciences
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• v.14 no.4
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• pp.25-33
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• 2022

This study investigates the relationships between rhythm and fluency indices and listeners' ratings of the rhythm and fluency of Korean college students' English paragraph reading. 17 university students read and recorded a passage from "The North Wind and the Sun" twice before and after three months of English pronunciation instruction. Seven in-service and pre-service English teachers in graduate school assessed the rhythm and fluency of the utterances. In addition, the values of 14 indices of rhythm and fluency were extracted from each speech and the relationships between the indices and the listeners' ratings were analyzed. The rhythm indices of the speakers in this study did not differ significantly from those of native English speakers presented in previous studies in %V, VarcoV, and nPVIV, but were higher in ΔV, ΔC, and VarcoC and lower in speech rate. The level of rhythm and fluency demonstrated by Korean college students was comparable, at least in terms of objective values for certain indices. The fluency indices, such as percentage of pauses, articulation rate, and speech rate, significantly contributed more to predicting both rhythm and fluency ratings than the rhythm indices.