• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.4
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• pp.1905-1915
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• 2014

This study is to examine the effect of the thinking styles and character development efficacy of childhood educational teachers on their commitment to teaching with the intention of clarifying that these two factors of childhood educational teachers are important internal variables in enhancing their dedication to teaching, and to seek ways of finding thinking styles and character development efficacy appropriate for childhood educational teachers. Childhood educational teachers at nursing schools and kindergartens located in Daejeon, Chungnam, and Chungbuk were chosen as the study objects. The results are as follows: First, it turned out that childhood educational teachers's commitment to teaching was in close relation to their judicial, monarchy, totalitarian, internal, and liberal thinking styles. As for childhood educational teachers' character development efficacy, personal efficacy and dedication to teaching showed a high level of correlation. This indicates that as childhood educational teachers preferred certain thinking styles, their commitment to teaching also could be enhanced, and that as childhood educational teachers' personal efficacy was high, their commitment to teaching was enhanced as well. Second, as for the positive effect of childhood educational teachers' thinking styles and character development efficacy on their commitment to teaching, it turned out that such factors as judicial and internal thinking styles, common teacher efficacy, and personal teacher efficacy affected professional recognition, such factors as judicial, internal, conservative, liberal thinking styles and personal teacher efficacy influenced their affection for teaching, and such factors as legislative, monarchy, anarchic, and liberal thinking styles and personal teacher efficacy affected zeal.

• Advances in nano research
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• v.17 no.2
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• pp.149-155
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• 2024

It is argued that advanced nanostructures must be integrated into ideological teaching to provide avenues for enhanced student engagement in active learning, with the ultimate goal of creating critical thinking across disciplines. In this regard, educational strategies that correspondingly address the unique structures and applications of the concept could be considered for further study, which would avail students the opportunity for interactive involvement in the educational process. This paper reflects on the potential of nano-enhanced education tools, such as nanosensors and nano-based interactive displays, in providing dynamic and responsive educational environments. It then proceeds to examine exactly how present students-using these technologies, also in the near future-can be equipped to engage with multiple ideas and perspectives to use in application. According to the findings presented, the use of advanced nanostructures in education will enhance effectiveness in methodologies of teaching and learning while preparing students for their future challenges by providing them with skills to navigate and analyze complex ideological landscapes. It is succeeded by the knowledge integration metric, which moved from an initial 61% to 87%, thereby growing by 42.62%.

• The Journal of Korean Association of Computer Education
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• v.18 no.3
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• pp.105-114
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• 2015

A SW competency based on computational thinking is considered as one of the core competencies in the future society. However, the concept of computational thinking is difficult to be introduced to the class because of the lack of appropriate educational program and the shortage of proper understandings of students and teachers. Thus, we have applied computational thinking based STEAM program and analyzed its effectiveness to explore the educational possibilities of computational thinking. The 49 samples were selected, 23 for the experimental group, and 26 for the control group. Pre-post tests for integrated thinking abilities and computational thinking were done to explore the CT-STEAM program's effectiveness. As a result, the components of integrated thinking abilities, science preference and self-directed learning abilities were enhanced after CT-STEAM instruction. In addition, computational thinking assessment score was statistically significant. We expect new STEAM programs using various computing tools to be developed in the future.

• Journal of The Korean Association of Information Education
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• v.20 no.5
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• pp.519-526
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• 2016

MIT App Inventor 2, much like the other block-based programming languages such as Scratch and Alice, is a useful tool that can be utilized to improve the computational thinking skills for students. The coding and the execution of program are done mainly on the computer in Scratch programming, but in App Inventor 2 programming, the students can execute the program and get immediate feedback on the smart-phone in the middle of the programming. Therefore, we can expect better enhanced learning effect. In this study, it has been claimed that the learning of App Inventor2 can strengthen the computational thinking skills of our students by extracting four core concepts of the computational thinking and then showing how these concepts are applied through the learning of App Inventor 2.

• The Journal of Korean Association of Computer Education
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• v.16 no.1
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• pp.1-9
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• 2013

Computational thinking has been recently highlighted as an essential ability of the 21st Century so that many educational efforts have focused on broadening participation in computing and promoting computational thinking in K-12 settings. This paper describes the impact of creative learning activities with the Scratch on middle school students' computational thinking and creative potential. The learning activities were designed and implemented in 12 sessions with 34 middle school students. The pre and post creative potential assessment results show that students' creative personality and ideational behavior were significantly enhanced. Also, project portfolio analysis shows that students came to understand several computational concepts that are useful in a wide range of programming contexts: sequences, loops, conditionals, events, and operators.

• Journal of Korean Academy of Fundamentals of Nursing
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• v.23 no.3
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• pp.320-330
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• 2016

Purpose: The purpose of this study was to evaluate the effect of critical thinking and self-concept on stress adaptation in transfer nursing students. Methods: For this study, data were collected from 196 transfer nursing students from Busan and South Gyeongsang Province Data collection was done during the period from September to December, 2015. Data were analyzed using descriptive statistics, t-test, one-way ANOVA, Pearson correlation coefficients and multiple regression. Results: The results showed that for critical thinking gender (t=2.48, p=.014), age (F=2.90, p=.044) and club activities (t=2.05, p=.041) were significant. Stress adaptation was significant according to academic year (F=3.81, p=.025). Critical thinking, self-concept and stress adaptation had positive correlations. Conclusion: Findings indicate that college adjustment for transfer nursing students could be enhanced through the development of programs to promote critical thinking and self-concept in the nursing curriculum.

• Journal of Digital Convergence
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• v.12 no.12
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• pp.589-599
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• 2014

Critical thinking includes creative thinking, open-mindedness, inquisitiveness. Critical Thinking Disposition was significantly higher in experimental group that was enhanced by the scenario-based learning contents than that of the control group(t=4.102, p<.001). Problem Solving process was significantly higher in experimental group that was enhanced by the scenario-based learning contents than that of the control group(t=5.082, p<.001). However, there was no significant difference between the two groups in Clinical Competence(t=2.646, p=.009). But experimental group was significantly higher score than that of the control group score decreased. These results support that the implementation of a scenario-based learning contents need to be continued as an effective educational material but we need more research to establish how this can be effectively implemented in a students' practicum.

• Korean Journal of Child Studies
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• v.26 no.5
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• pp.331-350
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• 2005

The study examined the effects of an intervention program based on reflective thinking on mother-child interaction behaviors. Three mothers with problematic mother-child interactions and their 4-year-old socially delayed boys participated in the program that consisted of four main activities like journal and video feedback, lectures on interactive strategies, mother-child interactive play and program evaluations and ran for twenty 120 minutes weekly sessions. The level of reflective thought was determined by analyzing interview transcripts, journal entries. The videotaped mother-child interaction behaviors were rated by the Maternal Behavior Rating Scale and Child Behavior Rating Scale. It was concluded that the program enhanced mother's reflection on mother-child interactions and changed interaction behaviors of 3 mother-child pairs positively.

• Science of Emotion and Sensibility
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• v.14 no.2
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• pp.279-292
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• 2011

This research explores the differences of two consumption behaviors from the thinking style they elicit. Specifically, we predict that more utilitarian attributes(vs. hedonic attributes) may be used when evaluating utilitarian products whereas more hedonic attributes(vs. utilitarian attributes) may be used when evaluating hedonic products. In addition, this research considered two different thinking styles: rational thinking style and experiential thinking style, and try to find out whether different product attribute information could elicit different thinking style and whether the thinking style has any effect on product evaluation. The data reported in this research demonstrates the following results. Firstly, people use different criteria when judging different types of product. That is, when judging utilitarian product, they are more likely to use utilitarian attribute as evaluation criteria, on the contrary they inclined to use hedonic attribute as evaluation criteria when choosing hedonic product. Secondly, different types of attribute informations could elicit different thinking style. Utilitarian attribute informations elicit rational thinking style whereas hedonic attribute informations elicit experiential thinking style. Finally, if people engage in rational thinking elicited in processing utilitarian attribute informations, the evaluation of utilitarian product is enhanced. But even though people engage in experiential thinking in processing hedonic attribute informations, the evaluation of hedonic product is not improved.

• The Mathematical Education
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• v.63 no.2
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• pp.233-254
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• 2024

This paper delves into the symbiotic integration of coding and mathematics education, aimed at cultivating computational thinking and enriching mathematical problem-solving proficiencies. We have identified a corpus of scholarly articles (n=38) disseminated within the preceding two decades, subsequently culling a portion thereof, ultimately engendering a contemplative analysis of the extant remnants. In a swiftly evolving society driven by the Fourth Industrial Revolution and the ascendancy of Artificial Intelligence (AI), understanding the synergy between these domains has become paramount. Mathematics education stands at the crossroads of this transformation, witnessing a profound influence of AI. This paper explores the evolving landscape of mathematical cognition propelled by AI, accentuating how AI empowers advanced analytical and problem-solving capabilities, particularly in the realm of big data-driven scenarios. Given this shifting paradigm, it becomes imperative to investigate and assess AI's impact on mathematics education, a pivotal endeavor in forging an education system aligned with the future. The symbiosis of AI and human cognition doesn't merely amplify AI-centric thinking but also fosters personalized cognitive processes by facilitating interaction with AI and encouraging critical contemplation of AI's algorithmic underpinnings. This necessitates a broader conception of educational tools, encompassing AI as a catalyst for mathematical cognition, transcending conventional linguistic and symbolic instruments.