• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.2
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• pp.296-303
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• 2020

The purpose of this study was to examine the keywords of studies related to young children's play in the selected registered and candidate academic journals and the network of the keywords by conducting a semantic network analysis. The selected journals were published over the past decade in diverse fields of study that included social sciences and life sciences such as education and early childhood education. The findings of the study were as follows: First, there was a great increase in the studies related to early childhood play over the last five years in comparison with the first term(2009-2013). As a result of analyzing how many studies were included in the journals by field, the largest numbers of the studies were published in the field of education, followed by early childhood education, and life sciences. Second, when the network of the keywords was analyzed, the major keywords in the first term were playfulness, role play, young children, creativity, play, and peer play interaction. In the second term(2014-2018), playfulness was also the most frequently exhibited keyword, followed by young children, play, and peer play behavior. Keywords such as teacher-child interaction, language skills, happiness, cognitive ability, early childhood education newly appeared.

• 대한공업교육학회지
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• v.33 no.2
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• pp.170-191
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• 2008

Many former researchers demonstrated that algorithm learning has a positive outcome on students' problem-solving abilities. One of the methods for algorithm learning, the 'programming learning' method is highly effective. However, there are numerous constraints in schools for programming learning. This study attempts to overcome these issues. Squeak Etoys, one of the educational visual programming languages for easy and interesting learning, has been selected as a learning tool. We developed the algorithm-learning curriculum for middle school students. They were divided into a control group and an experimental group. The students learned on the basis of equal curriculum but, they used other learning tools through over a total 6 sessions. The result showed that Squeak Etoys based Algorithm learning has a positive effect on improving middle school learners' problem solving abilities, self-efficacies and logical thinking abilities. Although the students' logical thinking abilities in the experimental group are improved a lot more than the students' abilities in control group, the students' logical think abilities in the both groups are improved. Therefore, algorithm education in secondary schools are necessary. In conclusion, Squeak Etoys based Algorithm learning has a positive effect on problem solving ability and self efficacy. The developed curriculum can be applicable as a basis for study on algorithm learning and educational programming language.

• Journal of the Korean Institute of Intelligent Systems
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• v.21 no.3
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• pp.359-364
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• 2011

The study uses department of the sensitivity and fuzzy reasoning, one of artificial intelligence algorithms, so that develop LED lighting system based on fuzzy reasoning for systematical control of the LED color temperature. In the area of sensitivity engineering, by considering the relation between color and emotion expressed as an adjective word, the corresponding sensitivity word can be determined, By taking into consideration the relation between the brain wave measured from the human brain and the color temperature, the preferred lesson subject can be determined. From the decision of the sensitivity word and the lesson subject, we adjust the color temperature of RGB (Red, Green, Blue) LED. In addition, by using the information of the latitude and the longitude from GPS(Global Positioning System), we can calculate the on-line moving altitude of sun. By using the sensor information of both temperature and humidity, we can calculate the discomfort index. By considering the altitude of sun as well as the value of the discomfort index, the illumination of W(white) LED and the color temperature of RGB LED can be determined. The (LED) sensitivity lighting control system is bulit up by considering the sensitivity word, the lesson subject, the altitude of sun, and the discomfort index The developed sensitivity lighting control system leads to more suitable atmosphere and also the enhancement of the efficiency of lesson subjects as well as business affairs.

• 재활복지
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• v.21 no.2
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• pp.217-231
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• 2017

We have to consider two parts of the evaluation and treatment for the patients with head and neck burns. The primary consideration is swallowing function for nutrition supply for them and the next is speech function for efficient communication and aesthetic impression of them. The purpose of this study is to summarize the preliminary questions of Communication Screening Protocols which can help understand comprehensively on swallowing disorder, motor speech disorder and voice disorder of patients with head and neck burns. We divided the evaluation into 4 evaluation areas including 'oral mechanism', 'respiration/voice', 'articulation', and 'swallowing' by referring to overseas studies dealing with various communication disorders caused by burns, and prepared the final questionnaires by conducting the content validity verification by five expert (speech & language pathologist). The range of Content Validity Index was shown relatively appropriate with .50~.84. There was a conflict of opinions in experts whether the items in the areas of respiration/voice and swallowing may be appropriate, whereas there was no different view of the oral mechanism and articulation area. Through the different characteristics of communication difficulties of patients with head and neck burns, we expect it will be modified appropriately according to the patients through evaluation of burn patients by type and severity.

• Journal of the Korean Society for information Management
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• v.38 no.4
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• pp.231-250
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• 2021

Despite the increasing number of international students in Korea, there is a lack of research on the health information-seeking behavior of international students. This study examined the health information search behavior of international students in Korea through a questionnaires and in-depth interviews adopting Critical Incident Technique. Most frequent health information needs that the participants experienced were related to Covid-19 and locating doctors/hospitals. The difficulties in seeking health information were language barriers, lack of knowledge of the Korean medical system, insufficient or overflowing information on the Internet. However, despite the language barrier, international students mainly used Korean sources (friends/family, websites, social media) for searching health information. In order to search health information on Korean websites, they used Google Translator or got help from bilingual friends/family members. The participants who have lived in Korea for a shorter period of time or who have lower Korean language proficiency tend to obtain health information through the community on social networks; whereas the longer the period of residence in Korea and the better the Korean language proficiency, the more likely to use websites. Only 28% of the participants gave positive answers to the question asking their confidence in finding the health information they needed. It is discussed how to help international students find accurate and credible health information.

• The Journal of the Convergence on Culture Technology
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• v.9 no.6
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• pp.967-971
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• 2023

Recently, a variety of AI-based platform services are available, and one of them is ChatGPT that processes a large quantity of data in the natural language and generates an answer after self-learning. ChatGPT can perform various tasks including software programming in the IT sector. Particularly, it may help generate a simple program and correct errors using C Language, which is a major programming language. Accordingly, it is expected that ChatGPT is capable of effectively using Verilog HDL, which is a hardware language created in C Language. Verilog HDL synthesis, however, is to generate imperative sentences in a logical circuit form and thus it needs to be verified whether the products are executed properly. In this paper, we aim to select small-scale logical circuits for ease of experimentation and to verify the results of circuits generated by ChatGPT and human-designed circuits. As to experimental environments, Xilinx ISE 14.7 was used for module modeling, and the xc3s1000 FPGA chip was used for module embodiment. Comparative analysis was performed on the use area and processing time of FPGA to compare the performance of ChatGPT products and Verilog HDL products.

• Korean Journal of Cognitive Science
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• v.35 no.1
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• pp.23-48
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• 2024

Building human-aligned artificial intelligence (AI) for social support remains challenging despite the advancement of Large Language Models. We present a novel method, the Chain of Empathy (CoE) prompting, that utilizes insights from psychotherapy to induce LLMs to reason about human emotional states. This method is inspired by various psychotherapy approaches-Cognitive-Behavioral Therapy (CBT), Dialectical Behavior Therapy (DBT), Person-Centered Therapy (PCT), and Reality Therapy (RT)-each leading to different patterns of interpreting clients' mental states. LLMs without CoE reasoning generated predominantly exploratory responses. However, when LLMs used CoE reasoning, we found a more comprehensive range of empathic responses aligned with each psychotherapy model's different reasoning patterns. For empathic expression classification, the CBT-based CoE resulted in the most balanced classification of empathic expression labels and the text generation of empathic responses. However, regarding emotion reasoning, other approaches like DBT and PCT showed higher performance in emotion reaction classification. We further conducted qualitative analysis and alignment scoring of each prompt-generated output. The findings underscore the importance of understanding the emotional context and how it affects human-AI communication. Our research contributes to understanding how psychotherapy models can be incorporated into LLMs, facilitating the development of context-aware, safe, and empathically responsive AI.

• The Journal of the Korea Contents Association
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• v.12 no.4
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• pp.52-59
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• 2012

Children develop their language skill rapidly between age 3 and 5. To meet the child's language development through a variety of experiences, it is necessary to develop age-appropriate contents. So it needs to develop various contents using speech interface for children, but there is no speech database of korean children. In this paper, we develop speech database of 3 to 5 years old children in korean. For collecting accurate children's speech, child education experts examine in the speech database development process. The words for database are selected from MCDI-K in two stage and children speak a word three times. Such collected speech are tokenized by child and word and stored in database. This speech database will be transferred through web and, hopefully, be the foundation of development of children-oriented contents.

• Journal of the Korea Computer Industry Society
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• v.4 no.12
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• pp.999-1012
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• 2003

To produce quality software products, engineers must feel personally responsible for the qualify of products. Superior products are not produced by mistake; engineers must strive to do quality work. Every engineer is different and has own process improvement method. To be most effective, engineers must plan their work and they must base their plans on their own personal data. To consistently improve their performance, engineers must personally use well-defined and measured processes. The Personal Software Process(PSP) is a self-improvement process designed to help software engineers control, manage, and improve the way they work. It is a structured framework of forms, guidelines, and procedures for developing software. Properly used, the PSP provides the historical data you need to better make and meet commitments and it makes the routine elements of your job more predictable and more efficient. Then, PSP is the very useful tool to train the students in Programming Language Course. This paper is to provide the concept of PSP/TSP and the sample curriculums for Program Language Training Courses. Personal Software Process(PSP) to train students of Programming Language Courses

• Journal of the Korea Computer Industry Society
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• v.2 no.11
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• pp.1407-1420
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• 2001

There is an increasing concern about computer education with the age of knowledge-based society. The learning programming language is taking an important role of computer education. However, the special emphasis in learning programming language has been attached to memorizing the programming language by rote and learning computer programs. Therefore, those were not much useful tools to develope a logical intelligence of the meanings of programming language and the methods of realization. It is positively necessary to improve the programming education efficiently because of the objects of knowledge of computing and raising an efficiency of problem solving. Under the circumstances, this research is aimed at representing an useful education model through developing a mathmatical program into each part of the C programming language, which would be a new supplier of an basic insight into the programming language and techniques. Accordingly it is thought that the research material will be an useful model to increase interests and concerns as well as to raise an efficiency of problem solving or a logical intelligence going through the process of studying programming language.