• Journal of Practical Engineering Education
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• v.11 no.2
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• pp.167-174
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• 2019

In the case of Java programming education for non-major undergraduates, there are no examples of applying the physical computing education method. The advantage of physical computing education is that you can directly check the SW processing output result according to the input value of digital and analog sensor, so that you can quickly correct programming errors and improve learner's learning interest and satisfaction. In this paper, we use the microbits to combine physical computing education with basic Java programming education. In addition, according to the computational thinking process, we proposed an educational method for creating Java programs using microbits. Through block programming to control the microbits, we designed an algorithm and applied a training method to convert it into a Java program. In addition, the results of students' evaluations were analyzed in the course applying the education method, and the effectiveness of the education method using the microbit was analyzed.

• 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.

• The Journal of Korean Association of Computer Education
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• v.18 no.3
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• pp.25-35
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• 2015

In digital era, as various fields of knowledge and industry are fused by computing, fostering computational thinking and learning computer programming are strongly emphasized. It means it is important to study how to educate computer programming for all, This study is about analysis of non computer science major learners' behavior gathered from computer programming class by means of survey, observation and interview and hope to suggest the way how to design and to perform the new computer programming curriculum for all.

• Journal of Integrative Natural Science
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• v.14 no.4
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• pp.176-182
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• 2021

We live in the age of artificial intelligence, and big data and artificial intelligence education are no longer just for majors, but are required to be able to handle non-majors as well. Software and artificial intelligence education for non-majors is not just a general education, it creates talents who can understand and utilize them, and the quality of education is increasingly important. Through such education, we can nurture creative talents who can create and use new values by fusion with various fields of computing technology. Since 2015, many universities have been implementing software-oriented colleges and AI-oriented colleges to foster software-oriented human resources. However, it is not easy to provide AI basic statistics education of big data analysis deception to non-majors. Therefore, we would like to present a big data education model for non-majors in big data analysis so that big data analysis can be directly applied.

• Proceedings of the Korean Society of Computer Information Conference
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• 2022.07a
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• pp.355-356
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• 2022

본 연구는 IT 비전공 대학생을 위한 코딩교과목 개발을 목표로 한다. 이를 위해 선행연구 및 이론탐색을 통해 대학교양 교과목으로서 코딩교육을 탐색하고, 적용 가능한 수업모형 및 교육내용을 선정하여 기초내용을 구성한 후 3인의 교육공학 전문가와 3인의 코딩교과목 개발 유경험 대학교수를 대상으로 FGI 인터뷰 방법을 통하여 연구결과를 도출한다. 대학교양 교과목으로서 코딩교육의 필요성이 대두되고 있음에도 불구하고 현재 운영 중인 코딩교과목은 프로그래밍이 중심으로 구성되어 비전공 대학생들에게는 환영받지 못하고 있다. 이에 본 연구에서는 코딩교과목의 방향을 컴퓨팅사고 및 SW 기초교육을 목표로 메타버스 등의 플랫폼을 활용한 체험중심 수업설계를 통해, 실행 가능한 수업모형을 개발하고 대상자 인터뷰와 분석을 통해 이를 위한 교수학습방법을 설정할 것이다. 본 연구를 통해 제시될 메타버스 플랫폼을 활용한 체험중심 코딩교육은 이후 고등교육기관의 교딩교육 교과목 개발을 위한 기초자료로 활용될 것이다

• Journal of Digital Convergence
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• v.16 no.5
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• pp.65-73
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• 2018

The objective of this study is to suggest the contents of education for software for Undergraduates who are not majoring in IT to cultivate creative and convergent people to prepare for the 4th Industrial Revolution. In the background, this study investigated the relationship between design thinking and computing thinking factors and examined the direction of software education to develop creative problem solving abilities. Two specialist questionnaires and focus group interviews were used to derive two levels of content elements for design thinking based computing thinking. According to the results of the analysis, This research is based on the process of design thinking, focusing on diffuse thinking at the first level, and the whole contents are composed. The process of producing a prototype was used to derive the computational thinking contents necessary for problem solving. This study focuses on convergent thinking at the second level and draws out the contents of computing thought to embody the first level contents of various ideas and stories into computing. It is expected that this study will be used as basic data to develop the content and method of education as SW education for non - major subject in university.

• Journal of Digital Convergence
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• v.17 no.8
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• pp.95-104
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• 2019

Recently, software education has been emphasized as a key element of the fourth industrial revolution. Many universities are strengthening the software education for all students according to the needs of the times. The use of online content is an effective way to introduce SW education for all students. However, the provision of uniform online contents has limitations in that it does not consider individual characteristics(major, sw interest, comprehension, interests, etc.) of students. In this study, we propose a recommendation method that utilizes the directional similarity between contents in the boolean view history data environment. We propose a new item-based recommendation formula that uses the confidence value of association rule analysis as the similarity level and apply it to the data of domestic paid contents site. Experimental results show that the recommendation accuracy is improved than when using the traditional collaborative recommendation using cosine or jaccard for similarity measurements.

• 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 Digital Convergence
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• v.18 no.11
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• pp.19-29
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• 2020

The study aims to examine the effectiveness of flipped learning teaching methods by using learning analytics to enable effective programming learning for non-major students. After designing a flipped learning programming class model applied with the ADDIE model, learning-related data of the lecture support system operated by the school was processed with crawling. By providing data processed with crawling through a dashboard so that the instructor can understand it easily, the instructor can design classes more efficiently and provide individually tailored learning based on this. As a result of analysis based on the learning-related data collected through one semester class, it was found that the department, academic year, attendance, assignment submission, and preliminary/review attendance had an effect on academic achievement. As a result of survey analysis, they responded that the individualized feedback of instructors through learning analysis was very helpful in self-directed learning. It is expected that it will serve as an opportunity for instructors to provide a foundation for enhancing teaching activities. In the future, the contents of social network services related to learners' learning will be processed with crawling to analyze learners' learning situations.

• The Journal of Industrial Distribution & Business
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• v.10 no.11
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• pp.71-80
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• 2019

Purpose: The purpose of this study is to design the curriculum of Basic College Software Programming to develop creative and logical-thinking. This course is guided by algorithmic thinking and logical thinking that can be solved by computing for problem-solving, and it helps to develop by software through basic programming education. Through the stage of problem analysis, abstraction, algorithm, data structure, and algorithm implementation, the curriculum is designed to help learners experience algorithm problem-solving in various areas to develop diffusion thinking. For Learners aim to achieve the balanced development of divergent and convergent-thinking needed in their creative problem-solving skills. Research design, data and methodology: This study is to design a basic software education for improving algorithm-thinking for non-major. The curriculum designed in this paper is necessary to non-majors students who have completed the 'Creative Thinking and Coding Course' Design Thinking based are targeted. For this, contents were extracted through advanced research analysis at home and abroad, and experts in computer education, computer engineering, SW education, and education were surveyed in the form of quasi-openness. Results: In this study, based on ADD Thinking's algorithm thinking, we divided the unit college majors into five groups so that students of each major could accomplish the goal of "the ability to internalize their own ideas into computing," and extracted and designed different content areas, content elements and sub-components from each group. Through three expert surveys, we established a strategy for characterization by demand analysis and major/textbook category and verified the appropriateness of the design direction to ensure that the subjects and contents of the curriculum are appropriate for each family in order to improve algorithm-thinking. Conclusions: This study helps develop software by enhancing the ability of students who practice various subjects and exercises to explore creative expressions in various areas, such as 'how to think like a computer' that can implement and execute their ideas in computing. And it helps increase the ability to think logical and algorithmic computing based on creative solutions, improving problem-solving ability based on computing thinking and fundamental understanding of computer coding and development of logical thinking ability through programming.