• Proceedings of the Korea Contents Association Conference
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• 2018.05a
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• pp.439-440
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• 2018

과거 사용자경험(User Experience, 이하 UX)에 대한 검토는 개발 후반에 이뤄졌으며, 사용 불편의 평가에도 '이제와 전부 바꾸기는 힘들다'며 넘어가 버리는 경우가 많았다. 현재 이러한 문제점이 발생할 경우 사용자들은 불편함을 호소하며 해당 소프트웨어를 사용하지 않을 것이다. 이에 따라 최근 기업 또는 개발자들은 수익과 시용자들의 만족을 높이기 위해 효율적인 UX디자인에 대한 관심을 높이고 있다. 본 논문에서는 4차 산업혁명시대에 UX 트렌드 변화 분석을 제시하고자 한다.

• Journal of Industrial Convergence
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• v.21 no.1
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• pp.123-135
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• 2023

In liberal SW education, nurturing student with creative problem-solving ability based on SW is considered important. The purpose of this study is to design SW education and to investigate the effects on students' computational thinking and creative problem solving abilities. This study designed classes in accordance with convergent project and the CT-CPS model and 38 undergraduate students have participated this study. The questionnaire survey was given to students and analyzed the effectiveness of class. The results of this study were as follows: Fitst, SW education significantly improved computational thinking and creative problem solving ability. Second, computational thinking improve significantly in high and low initial score group and creative problem solving improve significantly in low initial score group. However, creative problem solving ability did not improve significantly in high initial score group. Third, computational thinking improve significantly in all majors and creative problem solving improve significantly in college of natural science. However, creative problem solving ability did not improve significantly in college of humanities and social science. In examining the effects on students' computational thinking and creative problem-solving abilities and verify differences by pre-test and major, this study provides significance in expanding the understanding about the nature liberal SW education.

• The Journal of the Korea institute of electronic communication sciences
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• v.11 no.5
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• pp.511-522
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• 2016

Breaking down the boundaries between recent study has emerged as a key issue of convergence education to create new knowledge. The core of IT Convergence Education is being made through educational SW, SW purpose of education has been focused on improving the CT(: Computational Thinking). The purpose of this paper is to design a CT teaching model for activating IT Convergence Education. In this study, we designed a CT Curriculum focusing on algorithm and program for the purpose of enhancing non-majors learner's CT ability and software adaptability and being utilized in the majors. It is expected to be utilized to design a CT teaching methods and curriculum in University.

• Journal of The Korean Association of Information Education
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• v.22 no.6
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• pp.689-699
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• 2018

The purpose of this study was to investigate the prediction of self-regulated learning, GRIT and parents support on computational thinking and learning satisfaction in online software education. The participants were 71 elementary students who attended to an online software education which K university offered in Spring 2018. The 63 of cases were used to analyze by SPSS. The key findings were as follows: First, self-regulated learning and GRIT significantly predicted computational thinking. Second, self-regulated learning and GRIT significantly predicted learning satisfaction. This research suggested the implications for computational thinking and learning satisfaction in online software education.

• Journal of The Korean Association of Information Education
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• v.23 no.4
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• pp.375-384
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• 2019

In a rapidly changing society with the Fourth Industrial Revolution, future students should have the skills to utilize and organize high-quality knowledge, not the amount of knowledge. With the launch of the revised curriculum in 2015, the curriculum has been reorganized based on competency and the software education has been seeking capabilities such as 'Cultural computing knowledge', 'Computational thinking', and 'Collaborative problem solving skills'. Therefore, practical collaboration tools and education programs that can be used in the field of education are developed based on Pair Programming, which is a specific collaborative learning strategy to develop cooperative problem solving skill. The educational program using this collaboration tool was developed with a focus on developing computational thinking and collaborative problem solving skills through Pair Programming rather than focusing on learning grammar of programming language and programming techniques. In a educational program, students will be able to use collaborative tools for pair programming and foster collaborative problem-solving skills.

• Journal of The Korean Association of Information Education
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• v.25 no.2
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• pp.423-436
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• 2021

In the future, artificial intelligence (AI) technology is expected to become a general-purpose technology (GPT), and it is predicted that AI competency will become an essential competency. Several nations around the world are fostering experts in the field of AI to achieve technological proficiency while working to develop the necessary infrastructure and educational environment. In this study, we investigated the status of software education at the liberal arts level at 31 universities in Seoul, along with precedents from domestic and foreign AI education research. Based on this, we concluded that an AI literacy education model is needed to link software education at the liberal arts level with professional AI education. And we classified 20 AI-related lectures released in the KOCW according to the AI literacy competencies required; based on the results of this classification, we propose a model for AI literacy education in the liberal arts for undergraduate students. The proposed AI literacy education model may be considered as AI·SW convergence to experience AI along with literacy in the humanities, deviating from the existing theoretical and computer-science-based approach. We expect that our proposed AI literacy education model can contribute to the proliferation of AI.

• Journal of The Korean Association of Information Education
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• v.22 no.1
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• pp.131-140
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• 2018

The KAIE computing system curriculum consists of information equipment, operating systems, and information and communication fields, and covers basic understanding and principles of computer science. The role of the teacher is important to achieve the curriculum achievement standards. Therefore, we examined the factors affecting the teaching capacity of the KAIE computing system curriculum. The results of this study show that the teaching methods of teachers through the literacy of information and communication technology have a statistically significant effect on the teaching competency of the computing system curriculum. Also, male teachers perceived higher perceived factors than female teachers. The differences in teaching competency between teacher groups of less than 5 years and less than 5~10 years were significant. Based on these results, it is necessary to develop collaborate SW teaching strategies and mentor - centered training programs that can strengthen ICT and SW professors' competence and encourage participation of low - career teachers and female teachers.

• The Journal of the Korea institute of electronic communication sciences
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• v.14 no.4
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• pp.769-774
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• 2019

The development of information technology in a software-centered society as of today is a very important, and the training of software utilizing robots has become popular in recent years. This study proposes efficient SW convergence education by providing curriculum and contents for science + SW convergence education in conjunction with instruction block coding program. It also complements the limitations of existing unstructured chemistry experiment teaching aid, We have developed a 'chemical experiment paradigm' that integrates software education that can be linked with other classes.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.2
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• pp.462-471
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• 2018

Even though software (SW) education has not been considered part of the current national kindergarten curriculum, in practice there is growing interest in adopting it. Teachers would be expected to play a key role in the successful introduction and implementation of new educational changes, such as SW education. In preparation for its adoption in ECE, it would be useful to determine ECE teachers' perception and attitudes toward early childhood software education. For this study, 219 ECE teachers' level of concern toward SW education was surveyed using the Stages of Concern Questionnaire. It was found that the teachers' level of concern was the highest at stage 0-Unconcerned and that they had high levels of stage management, personal and informational concern. Thus, a non-user pattern was mostly indicated. However, compared to the typical non-user pattern, the pattern aspect close to critical non-user ever appeared to some extent. In addition, a significant difference in the level of concern was shown at all stages depending on the awareness of the necessity for SW education. The teachers with SW training experience showed a higher intensity only at stage 0. There was a statistically significant difference in stages 0 and 6 depending on the future implementation decision. These results will be utilized as a resource in building an ECE teachers' support system according to their level of concern about SW education.

• Journal of Practical Engineering Education
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• v.14 no.3
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• pp.491-498
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• 2022

In this paper, as a liberal arts course for non-major students, a case study of recurrent neural network SW practice, which is essential for designing a basic recurrent neural network subject curriculum, was developed. The developed SW practice case focused on understanding the operation principle of the recurrent neural network, and used a spreadsheet to check the entire visualized operation process. The developed recurrent neural network practice case consisted of creating supervised text completion training data, implementing the input layer, hidden layer, state layer (context node), and output layer in sequence, and testing the performance of the recurrent neural network on text data. The recurrent neural network practice case developed in this paper automatically completes words with various numbers of characters. Using the proposed recurrent neural network practice case, it is possible to create an artificial intelligence SW practice case that automatically completes by expanding the maximum number of characters constituting Korean or English words in various ways. Therefore, it can be said that the utilization of this case of basic practice of recurrent neural network is high.