• Journal of The Korean Association of Information Education
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• v.26 no.5
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• pp.327-340
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• 2022

This study applied effective playful learning to increase the learning motivation of non-CS major students to help them achieve learning and to successfully operate online SW liberal arts classes for 560 students. As a result of analyzing the students' reflection journals, most of the students accepted the 'white radish' of dialect names as fun playful learning in the process of learning local variables and global variables. And they were surprised and amazed at discovering unexpected contents in our SW class. It was found that they experienced delight in learning, learning-flow, confidence, and intrinsic motivation. In the final term exam at the end of the semester, it was confirmed that the correct rate of 92% for questions related to local and global variables was higher than the average rate of other questions' correctness of 67.1%.

• The Journal of Korean Association of Computer Education
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• v.21 no.1
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• pp.11-21
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• 2018

Given the background of so-called 'the 4th industrial revolution', universities practice computing education for non-majors to equip them with computational thinking(CT). Universities apply different courses but researches analyzing effectiveness of the courses based on CT are limited. This research is conducted to understand a computing course for non-majors is effective in terms of CT. A CT based evaluation framework is designed referring to AP Computer Science Principles. Questionnaires are developed based on the framework and applied to the course participants. As results, students' post scores are significantly higher than pre scores. In addition, there are significant differences in pre-test scores by major category while there is no difference in post-test. Humanity & social science group showed the largest difference between pre and post results with science & engineering and computer in order. In sum, it is found that this course is effective to facilitate students abilities in terms of CT, particularly for the non-computer majors.

• Proceedings of the Korea Information Processing Society Conference
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• 2020.05a
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• pp.349-351
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• 2020

4차 산업혁명시대가 도래함으로써 수많은 영역에 다양한 소프트웨어(SW)가 필요할 것이며, 특히 비전공자 및 기초 전공자들의 창의적 사고 기반 SW에 대한 이해가 요구된다. 하지만 문제는 창의적 사고 기반의 SW에 대한 정의 및 아이디어가 부족하다. 우리는 교육 영역에서의 창의적 사고 방법 및 주요 쟁점들을 비전공자들에게 강의한 경험이 있지만 실질적으로 창의적 사고기법을 통해서 소프트웨어로 구현하는 것에 큰 어려움을 겪고 있다. 따라서 이러한 점을 개선하는 창의적 사고 기법과 소프트웨어 공학기법을 접목인 디자인 씽킹 메카니즘과 소프트웨어공학 접목을 제안한다.

• Journal of Internet Computing and Services
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• v.20 no.4
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• pp.81-90
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• 2019

Since 2015, the government has been striving to strengthen the software capabilities required for future talent through software-oriented university in Korea. In the university selected as a software-oriented university, basic software education is given to all departments such as humanities, social science, engineering, natural science, arts and the sports within the university in order to foster convergent human resources with different knowledge and software literacy. In this paper, we analyze the contents of basic software education for twenty universities selected as software-oriented universities. As a result of analysis, most of the basic software education which is carried out to the students of the non-majors students was aimed at improvement of problem solving ability centered on computational thinking for future society and improvement of convergence ability based on computer science. It uses block-based educational programming language and text-based advanced programming language to adjust the difficulty of programming contents and contents reflecting characteristics of each major. Problem-based learning, project-based learning, and discussion method were used as the teaching and learning methods for problem solving. In the future, this paper will help to establish the systematic direction for basic software education of non-majors students.

• Journal of Digital Convergence
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• v.19 no.5
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• pp.285-293
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• 2021

With the advent of the 4th Industrial Revolution, AI utilization capabilities are being emphasized in various industries, but AI education design and curriculum research as universal education is currently lacking. This study offers a design for universal AI education to further cultivate its use in universities. For the AI basic education design, a questionnaire was conducted for experts three times, and the reliability of the derived design contents was verified by reflecting the results. As a result, the main competencies for cultivating AI literacy were data literacy, AI understanding and utilization, and the main detailed areas derived were data structure understanding and processing, visualization, word cloud, public data utilization, and machine learning concept understanding and utilization. The educational design content derived through this study is expected to increase the value of competency-centered AI universal education in the future.

• Proceedings of the Korea Information Processing Society Conference
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• 2018.10a
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• pp.319-320
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• 2018

4차 산업혁명 시대에 걸맞은 미래 인재양성을 위해 Computational Thinking (CT) 향상을 위한 교육에 대한 관심이 높아지고 있다. 더불어 비전공자 학생들을 대상으로 하는 컴퓨팅 교육이 확산되어 진행되고 있다. 그러나 많은 비전공 학습자들이 CT 교육 학습 과정에 어려움을 느끼고 있다. 이에 본 논문에서는 CT 교육 학습 과정에 도구를 활용한 학습 방법으로 이를 해결하고자 하였다.

• Journal of Digital Convergence
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• v.17 no.10
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• pp.23-35
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• 2019

In order to cultivate talented people who have problem solving ability due to computational thinking according to the trend of the fourth industrial revolution, each university is actively promoting software education. This study suggests that understanding-oriented SW curriculum is needed for non-majors students to improve computational thinking. In order to achieve the purpose of the study, this study designed the basic education program based on the understanding of the SW with the backward design model. The SW Basic Education Program was applied to 15 weeks of instruction and conducted three surveys. The positive effects of the understanding-oriented SW basic education on the computational thinking efficacy and the computer perception were verified. In addition, it was found that the understanding-oriented computational thinking and programming education are effective when they are linked to one process. It is expected that understanding-based SW based education, which uses the backward design model, can be applied as one of the efficient ways to improve computational thinking in the education field.

• Journal of Practical Engineering Education
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• v.15 no.2
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• pp.381-388
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• 2023

Through artificial neural network education using spreadsheets, non-major undergraduate students can understand the operation principle of artificial neural networks and develop their own artificial neural network software. Here, training of the operation principle of artificial neural networks starts with the generation of training data and the assignment of correct answer labels. Then, the output value calculated from the firing and activation function of the artificial neuron, the parameters of the input layer, hidden layer, and output layer is learned. Finally, learning the process of calculating the error between the correct label of each initially defined training data and the output value calculated by the artificial neural network, and learning the process of calculating the parameters of the input layer, hidden layer, and output layer that minimize the total sum of squared errors. Training on the operation principles of artificial neural networks using a spreadsheet was conducted for undergraduate non-major students. And image training data and basic artificial neural network development results were collected. In this paper, we analyzed the results of collecting two types of training data and the corresponding artificial neural network SW with small 12-pixel images, and presented methods and execution results of using the collected training data for Orange machine learning model learning and analysis tools.

• Journal of Korea Multimedia Society
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• v.22 no.4
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• pp.472-479
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• 2019

Today, computational thinking takes an important role in problem solving in software education. As a result, software education as liberal arts for non-CS major students is rapidly expanding. It is necessary to study the effects of computational thinking on software problem solving ability compared to traditional programming language education. In this paper, we propose an evaluation model for analyzing the effects of computational thinking on the overall software development process, and analyze how the problem solving process is different for learners who take computing thinking classes and programming language courses as liberal arts courses. As a result, students who learned computational thinking showed higher ability in problem analysis and design process.

• Journal of Korea Multimedia Society
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• v.25 no.2
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• pp.311-324
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• 2022

In this paper, we adjusted the feedback and learning materials for each learning based on ARCS motivation which applied DEVS methodology. We designed the ARCS professor-student model that expresses the continuous change in the student's attitude toward the class according to the student's attention, relevance, confidence, and satisfaction. It was applied to computational thinking and data analysis classes Based on the designed model. Before and after class, the students were asked the same question and then analyzed for each part of the ARCS. It was observed that students' perceptions of Attention, Relevance, and Satisfaction were improved except for Confidence. we observed that the students themselves felt that they lacked a lot of confidence compared to other ARS through the analysis. Although, Confidence showed a 13.5% improvement after class but it was about 33% lower than the average of other ARS. However, when it was observed that students' self-confidence was 30% lower than other motivational factors it was confirmed that the part that leads C to a similar level in other ARS is necessary.