• Speech Sciences
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• v.9 no.3
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• pp.113-120
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• 2002

The purpose of this study was to determine the effects of group therapy on the language performance of aphasic patients. Four aphasic subjects participated in group therapy. Their aphasic types were TCMA (transcortical motor aphasia), conduction, anomie, and Broca's aphasia. The focus of the therapy was to stimulate cooperative learning skills. For this purpose, categorization tasks, semantic association tasks, convergent thinking, and divergent thinking tasks were employed. The results showed that all of the aphasic subjects demonstrated some improvement in writing ability, categorization ability, and speaking ability in sentences.

• Knowledge Management Research
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• v.20 no.1
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• pp.77-99
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• 2019

This study aims to examine validity and reliability of the convergence talent measurement. Based on the comprehensive literature review on convergence and convergence talent, we draw 4 main competencies (convergence cognitive, accomplishment, problem solving, and attitude) and 10 critical aspects (creative thinking, critical thinking, cooperation, communication, problem-solving, knowledge accessibility, resource utilization, trust, openness, caring) for building an effective convergence-oriented organization. A validity and reliability test survey were conducted for the analysis to investigate the convergence talent scale. With a data of 151 employees in diverse companies, the results show that the factors demonstrated acceptable levels of validity and reliability. The empirical evidences of our study are 10 key aspects comprising four main dimensions which suggest an available scale for measuring the convergent talent for enhancing convergence-oriented organizations. Our research contributes to the expansion of academic and practical implications on convergence, especially in convergence-oriented organizations.

• Journal of The Korean Association For Science Education
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• v.39 no.4
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• pp.479-488
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• 2019

The purpose of this research is to derive competencies necessary for students with future convergent STEAM talents, and to explore ideal student images, teaching-learning strategies, evaluation methods, and teachers' competencies and their training methods for future schools developing students' competencies. In order to figure out the features of the future schools, 25 experts from related fields, including in-service teachers, administrators, and college students in science and technology, participated in a future workshop. According to the results, students with future convergent science and technology talents are expected to have flexible thinking and creative thinking competencies to solve problems in innovative ways rather than traditional ways. In other words, it takes the power to accept and accommodate unexpected situations and solve problems appropriately in those situations. To cultivate such competencies, therefore, future schools should also be flexible and proactive. Rigid schools delivering knowledge-based information make it impossible to cultivate flexible and creative talents. Future schools should change into leaner-centered project-based classes so that students can naturally cope with various situations and solve large and small problems, and prepare assessment systems that can provide feedback based on the student's performances rather than achievement standards.

• The Journal of the Korea institute of electronic communication sciences
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• v.18 no.5
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• pp.901-910
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• 2023

In universities, programming language-based thinking and software education for non-majors are being implemented to cultivate creative and convergent talent capable of leading the digital convergence era in line with the Fourth Industrial Revolution. However, learners face difficulties in acquiring the unfamiliar syntax and programming languages. The purpose of this study is to propose a software education model to alleviate the challenges faced by non-major students during the learning process. By introducing algorithm techniques and diagram techniques based on programming language thinking and using the EZMKER kit as an instructional model, this study aims to overcome the lack of learning about programming languages and syntax. Consequently, a structured software education model has been designed and implemented as a top-down system learning model.

• Journal of the Korean earth science society
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• v.44 no.4
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• pp.318-330
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• 2023

This study aimed to verify the validity of a measurement tool for Vietnamese high school students' systems thinking abilities. Two quantitative assessment tools, the Systems Thinking Measuring Instrument (Lee et al., 2013) and the Systems Thinking Scale (Dolansky et al., 2020), were used to measure students' systems thinking after translation into Vietnamese. As a result, it was revealed that Cronbach-α for each tool (i.e., STMI and STS) was .917 and .950, respectively, indicating high reliability for both. To validate the construct validity of the translated questionnaire, exploratory factor analysis was performed using SPSS 26.0, and confirmatory factor analysis was performed using AMOS 21.0. For concurrent validity, correlation analysis using structural equation modeling was performed to validate the translated questionnaire. Exploratory factor analysis revealed that 10 items from the STMI and 12 items from the STS loaded on the intended factors and appropriate factor loading values were obtained. For confirmatory factor analysis, a structural equation model organized with 10 items from the STMI and 12 items from the STS was used. The result of this showed that the convergent validity values of the model were all appropriate, and the model fit indices were analyzed to be χ²/df of 1.892, CFI of .928, TLI of .919, SRMR of .047, and RMSEA of .063, indicating that the model consisting of the 22 items of the two questionnaires was appropriate. Analysis of the concurrent validity of the two tools indicated a high correlation coefficient (.903) and high correlation (.571-.846) among the subfactors. In conclusion, both the STMI and STS are valid quantitative measures of systems thinking, and it can be inferred that the systems thinking of Vietnamese high-school students can be quantitatively measured using the 22 items identified in our analysis. Using the tool validated in this study with other tools (e.g., qualitative assessment) can help accurately measure Vietnamese high school students' systems thinking abilities. Furthermore, these tools can be used to collect evidence and support effective education in ODA projects and volunteer programs.

• Journal of The Korean Association of Information Education
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• v.21 no.6
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• pp.639-646
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• 2017

As computational thinking(CT) is gaining focus as a key 21st century skill much attention has been paid to promoting CT through software education. However, more studies are needed to design and implement effective CT assessment methods. This study aims to investigate the effects of three CT assessment methods in a course designed to enhance CT competencies of 52 pre-service teachers with a non-computer science background during one semester. To analyze pre-service teachers' CT competencies, we used 3 CT assessment methods: (1) pre-and post-testing based on Bebras computational thinking challenge questions, (2) Dr. Scratch to analyze group scratch projects automatically, and (3) scratch exam designed in this study to evaluate the development of CT. Our results show the positive effects of integrating assessment methods for promoting CT competencies. We end this paper with the discussion of advantages and implications of this integration.

• Journal of Digital Convergence
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• v.17 no.11
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• pp.467-474
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• 2019

Key areas of digital contents, the games and animation industries are increasingly expanding. Therefore, training of a specialized workforce is required in accordance with these enterprises' growing demand. Education in the field of games and animation lies in cultivating talents with creative thinking, collaboration, and problem-solving skills. Thus, this paper aims to propose a PBSL teaching model for creative convergent talent through game and animation projects. The study will focus on the characteristics of creative convergence talents, project teaching, and related job competencies for game and animation education. Based on literature research, a 'Project Based Self Learning' instructional model is presented, in which creative thinking and collaboration competencies are explained in a way they can be performed by the learner. As a case study, D University's class was applied with PBSL. A survey showed that the autonomy aspects were higher than the creativity and convergence attitudes, indicating that the students improved their autonomy and motivation. However, the team composition needs further supplementation.

• Journal of The Korean Association of Information Education
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• v.26 no.2
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• pp.97-104
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• 2022

As the era of digital transformation begins in earnest, the importance of convergent thinking based on software, artificial intelligence, and big data is increasing. In line with these social needs, this study developed a 5th hour SW-STEAM education program using Monte Carlo simulation techniques for Mendelian inheritance in the field of life science. By programming and implementing Mendelian inheritance using Monte carlo simulation, the program was organized so that not only convergent thinking skills but also related knowledge could be understood in depth. In order to verify the validity of the developed education program, 11 experts in related fields were requested to test the content validity, and the validity was verified by meeting the CVR reference value of 0.59 suggested by Lawshe.

• The Journal of Korean Association of Computer Education
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• v.22 no.3
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• pp.37-54
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• 2019

The main purpose of STEM education is to understand methods of inquiry in each discipline to develop convergent problem solving skills. To do this, we must first understand the problem-solving process that is regarded as an essential component of each discipline. The purposes of this study is to understand the relationship between the problem solving in science (S), engineering (E), mathematics (M), and computational thinking (CT) based on the comparative analysis of problem solving processes in each SEM discipline. To do so, first, the problem solving process of each SEM and CT discipline is compared and analyzed, and their commonalities and differences are described. Next, we divided the CT into the instrumental and thinking skill aspects and describe how CT's problem solving process differs from SEM's. Finally we suggest a model to explain the relationship between SEM and CT problem solving process. This study shows how SEM and CT can be converged as a problem solving process.

• Journal of the Korean earth science society
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• v.41 no.6
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• pp.670-683
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• 2020

The purpose of this study was to develop a test tool for convergence problem solving skill. To this end, constructs of convergence problem solving skill were defined in three domains: convergence attributes, convergence thinking, and convergence literacy domains. Thirty-seven pilot items were developed on the basis of the sub-categories for each domain that was defined through intensive literature review; problem solving & convergent thinking and creative thinking for convergence thinking domain, individual and social propensity for the convergence attributes domain, and convergence literacy as convergence literacy domain. Through an exploratory factor analysis, 30 items in the constructs of the test tool were confirmed. A confirmatory factor analysis result showed that the five construct models well captured the covariance between all the items well. Finally a statistical result shows that the reliability of the items and constructs were well established (Cronbach's α value= .963). Thus, the test tool for convergence problem solving skill developed in this study was statistically reliable.