• 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.

• Journal of The Korean Association of Information Education
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• v.21 no.6
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• pp.657-664
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• 2017

This study investigates the effect of play-based software education instruction strategy for improving computational thinking as a method of software education. The play-based instruction strategy is a teaching-learning strategy in which the presented code is navigated through play, and the functions are revised and newly reconstructed. We designed an education program with the play-based instruction strategy and applied the program to elementary students. In order to verify the effectiveness of the research, we examined the competence of computing thinking concept and computing thinking practice. As a result, the computing thinking concept and computational thinking practice were that the proposed teaching-learning model is higher than the direct teaching method.

• Journal of Industrial Convergence
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• v.18 no.1
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• pp.53-58
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• 2020

The 2015 revised curriculum aims to cultivate creative convergence talent. In this regard, SW education needs to study various convergence education methods to enhance computational thinking. The purpose of this study is to analyze the effects of SW convergence education centered on reading education and robot utilization education to improve computing thinking ability. For this purpose, SW education teaching and learning was designed by combining SW education using card coding-based robots with reading education based on interactive works and reading on the whole work. As a result, the convergence education between reading and SW improved all three areas of the concept, practice, and perspective of computational thinking ability and increased the learner's satisfaction.

• Journal of Digital Convergence
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• v.15 no.9
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• pp.55-64
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• 2017

As the importance of software has become more widely recognized, many Korean universities are designating software classes as an essential subject. However, there is a difficulty in achieving the educational goal because the education is done without sufficient understanding of the non-Major learner. Therefore, in this paper, we analyze the opinions of the humanities college students who have taken the software basic education course and confirm the changes of the students' digital minds. Based on this, we suggest considerations for the basic software education for non-Majors. The results of the analysis show that pre-admission software education does not contribute much to university education, while students respond positively to the practice-based education using student-oriented project subjects. Therefore, it is desirable to provide an environment where learners can gradually develop their digital minds by providing students with more software access opportunities based on hands-on practice in basic software education for non-Majors.

• Journal of The Korean Association of Information Education
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• v.8 no.4
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• pp.501-510
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• 2004

The activation of the latest ICT(Information and Communication Technology)education has been putting more importance on the education of the application SW(software). By the way, the geometric progression of knowledge and the fast development of computer technology have continuously created new SW. Accordingly, the previous traditional SW learning paradigm runs into various problems. This study starts from the recognition of such problems. In this study, the SW adaptability is defined as the ability that learners can efficiently find and apply the suitable functions of SW to those problems in the problematic circumstances as well as promote retention and metastasis. With these premises, this paper makes an inquiry into the teaching-learning method. Besides, This paper explores the SW usability and the principles of UI(User Interface) design and deduces the SW learning strategy. Furthermore, it probes problems of the SW teaching-learning of the demonstration practice method and proposes the inquiring master for SW adaptability teaching-learning model.

• Journal of The Korean Association of Information Education
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• v.22 no.1
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• pp.113-122
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• 2018

Collaboration and assistance among peer learners are essential factors for successful learning outcomes. However it is important to investigate students' preferences for computer problem solving methods and interrelationships, since students tend to solve problems more and more by themselves. This is because of the importance of giving appropriate instructions to students. In this context, this paper shows the analysis of the preferred methods and interrelationships of studnets' preferences upon encountering difficulties during computer usage by collecting data from 231 students in K national university of education. As a result, the result shows that students tend to solve problems without asking as they have higher abilities in computer usage, which was also shown to increase along with their grade levels. Furthermore, it showed that students who have family members and relatives, and who are using the internet are more satisfied with their problem solving. Lastly, it is possible to grasp the computer problem solving network within the department by using social network analysis, so it can be used as reference data for selecting the peer learners, which will help to operate the customized computer education practice.

• East Asian mathematical journal
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• v.39 no.2
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• pp.93-117
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• 2023

The aim of this study is to explore the pre-service math teachers' characteristics of education to develop their AI literacy and SW competency, and to derive some implications. We conducted a 14-hours AI and SW education program for pre-service teachers with theory and practice, and an analysis on class observation data, video frames of classes and interview, Python programming assignments and papers. The results of this case study for 3 pre-service teachers are as follows. First, two students understood artificial neural network and deep learning system accurately, furthermore, all students conducted a couple of explorations related with performance improvement of deep learning system with interest. Second, coding and exploration activities using Python improved students' computational thinking as well as SW competency, which help them give convergence education in the future. Third, they responded positively to the necessity of AI literacy and SW competency development, and to applying coding to math class. Lastly, it's necessary to endeavor to give a coding education to the student's eye level according to his or her prerequisite and to ease the burden of student's studying AI technology.

• Journal of Internet of Things and Convergence
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• v.8 no.6
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• pp.21-26
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• 2022

This study aims to enhance the cultivation of SW·AI basic competencies of middle school students by forming and distributing SW·AI education programs for middle school students who form the basis of their lives. In addition, by planning SW·AI education programs in connection with the regular curriculum, it is intended to serve as a cornerstone for the public education of SW·AI education that will be implemented from 2025. To this end, the concept of SW and AI in middle school was first defined and a plan to link software/artificial intelligence learning factors to the regular curriculum was proposed, and based on this, SW·AI education programs for middle school students were prepared. Based on literature research, the understanding of artificial intelligence technology, the value of data, and the use of artificial intelligence technology in real life were set as SW·AI education contents, and educational programs were organized by linking them with the current middle school curriculum. All SW·AI education was organized in the form of practice rather than theory so that classes could be conducted centered on participants, and the purpose of the course was to cultivate the ability to use artificial intelligence technology in real life based on understanding artificial intelligence technology.

• Journal of The Korean Association of Information Education
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• v.20 no.2
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• pp.131-138
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• 2016

We have developed a UMC (Use-Modify-Create) strategy for the improvement of computational thinking in SW education. UMC model is an instructional strategy that students analyze examples of algorithms, modify-expand it and to develop new SW. First, we applied the UMC classes during 1 semester targeting pre-service teachers. To explore the effectiveness of the proposed model, we conducted a t-test for improving students' self-CT. Through a result, we found that is the UMC teaching-learning strategy helped the CT concepts and practice skills. In addition, we could see the Use and Create steps help to improve the ability of students' CT than directly teaching and Modify steps.

• The Journal of the Korea Contents Association
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• v.18 no.12
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• pp.238-250
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• 2018

The 2015 revised curriculum includes 'informatics' course including the process of building software aiming at cultivating creative and convergent ability. This study analyzes the competencies pursued in the revised curriculum and defines computational thinking as the main competency. The subjects of the study were the first grade of a middle school in the first semester of the 2018 school year. Of the 95 collected data, 83 data were used for analysis and the significance was confirmed by the paired t-test. Also, computational concept, computational practice and computational perspectives were confirmed through artifact-based interviews. As a result of statistical analysis, critical thinking, creativity, algorithmic thinking, and problem-solving significantly increased among sub-variables of computational thinking. Statistical results and interview results were analyzed to provide implications for design and implementation of software education in 'informatics' course.