• 한국정보교육학회:학술대회논문집
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• 2021.08a
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• pp.223-231
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• 2021

Humanity faces the 4th industrial revolution, many countries are providing systematic and continuous SW education to foster talent with AI capabilities. On the other hand, there are high concerns that the SW gap will widen and polarize as domestic reality does not provide systematic and continuous SW education to learners. Against this background, this study started to investigate the influence of learners' SW experience on SW education. As a result of the study targeting science and engineering students, the effect of SW experience on SW education was significant. With theses results, it is expected that various discussions will be actively conducted so that systematic and continuous SW education can be provided in elementary and secondary schools.

• Journal of The Korean Association of Information Education
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• v.24 no.1
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• pp.87-98
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• 2020

Globally SW education is becoming increasingly important, and the government is preparing for this trend as a mandatory implementation of SW education in the 2015 revised curriculum. However, because the 17 hours of annual education offered in the course of Practical Arts cannot have great educational effects, this study attempted to develop a robot-based SW education program related to other regular subjects. Also in order to verify the effects of the program related to future competencies, problem solving ability and communication ability were selected as key factors. The paired t-test was conducted to examine whether there was a significant difference between pretest and posttest results. As a result, it was verified that the subject-related SW education program using robots was effective in improving students' problem-solving ability and communication ability. In addition, after the program was completed a survey was conducted, and it was possible to confirm that students could have positive perception on SW education.

• 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 Creative Information Culture
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• v.7 no.3
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• pp.145-155
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• 2021

In this study, a SW interactive education training program for elementary school teachers was developed in order to cultivate the SW competency of teachers who apply SW education to schools, and the effect was analyzed by applying it to the school training site. For the development of the training program, the training development direction was set based on the current SW teacher training program, and an interactive training program was opened so that training could be conducted in a non-face-to-face situation in the COVID-19 situation. The developed training program was applied to 104 elementary school teachers in Gyeonggi-do. In order to analyze the effectiveness of the interactive training program, a survey on professor efficacy and satisfaction was conducted, and positive results were confirmed in terms of professor efficacy and program satisfaction. As it is expected that various SW/AI education training for teachers will be conducted as interactive training in the future, it is judged that it is necessary to conduct an analysis study on the effect of SW/AI training training.

• Journal of Creative Information Culture
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• v.7 no.4
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• pp.207-215
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• 2021

As computational thinking has been noted as an important competency worldwide, SW education was introduced in the 2015 revised curriculum, and SW education has been applied to the curriculum from 2018. However, in a poor educational environment, the educationally underprivileged class is in the blind spot of SW education and is not receiving systematic SW education. Therefore, this study analyzed the effect of conducting a non-face-to-face SW online education program for 267 underprivileged elementary school students in education at a time when non-face-to-face online education was being conducted through the COVID-19 mass infectious disease. As a result of conducting the computational thinking ability test, which abstraction, problem decomposition, algorithm, automation, and data processing, before and after education, the overall score of computational thinking and the score of all five factors were statistically significantly increased(p<0.001). Among the five factors, there was the highest score improvement in data processing score. These results suggest that the non-face-to-face SW online education program is effective in improving the computational thinking ability of elementary school students from the educational underprivileged class.

• Journal of The Korean Association of Information Education
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• v.24 no.1
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• pp.1-10
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• 2020

According to the Fourth Industrial Revolution, SW education is emphasized around the world to educate student with new abilities. Following to these global trends, SW education has become mandatory in Korea's 2015 revised curriculum. However, Korean elementary SW education is focused on the use of block-based programming languages. In addition, the point of view of selecting goals and organizing content of SW Education, the affective domain is ignored and focused only on the cognitive and psychomotor domains. So, this study explored method of SW education using the concept of Team-Shared Mental Model for develop of community capacity and Python, which is textual programming language gaining popularity recently. As a result of performing the post test t-test on two groups with similar Team-Shared Mental Model formation, we found that it was effective in forming a Team-Shared Mental Model of the group applying the SW teaching method suggested in the study.

• Journal of The Korean Association of Information Education
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• v.24 no.2
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• pp.147-155
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• 2020

The analysis targeted the curriculum of general, subject education, and apecial activities that are required for SW education of 11 universities of education where SWEET project is applied. The results showed that the average credits related to SW education in elementary school teacher training institutions were 2.2 for general, 2.3 for subject education, and 0.6 for special activities. As a result of analyzing the changes in the curriculum by year, it can be interpreted as an effect of the SWEET project because the proportion of credits and hours in subject education increased and because the proportions of general and special activities decreased. However, on average, the credit related to SW education was 5.1, whereas the credits related to mathematics and science were 6.5 and 7.8, respectively, which indicated a need for revising and improving the curriculum for SW education.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.20 no.2
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• pp.247-259
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• 2020

Today is the era that the importance of education and training is emphasized. However, the problem of the issues on the question how the coding or related educations according to the 4th industrial revolution era are applied or utilized actually or that the correlation with the actual enterprises is facing with social and realistic problem. Therefore, this study intended to identify what impact the characteristics of the education and training has on the educational outcomes on the characteristics of individual by segmentalizing the characteristics of education and training, through which, this study examined what impact it has on the educational outcomes. As a result, it was shown that the SW education course has positive (+) impact on the major competence and learning performance out of the characteristics of individual and SW educational environment does not have nay impact. In addition, it was shown that the characteristics of individual have positive impact on all the satisfaction of educational outcomes and the negative impact on all the dissatisfaction of educational outcomes. These results emphasizes the importance of the SW educational course and SW education teaching and deemed to be results to make us to think about the SW educational environment again.

• Journal of The Korean Association of Information Education
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• v.25 no.5
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• pp.713-721
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• 2021

As the Ministry of Education has introduced AI education in earnest in the 2022 revised curriculum, there is growing sympathy for the need for data-related education along with AI education. In order to develop the competence to understand and utilize artificial intelligence properly, the understanding and utilization competence of data must be based on it. In this study, a data-driven problem solving SW education program using microbit was developed by synthesizing the results of demand analysis and previous research analysis. The data-driven problem solving education program was developed with educational elements that can be applied to elementary school students among the contents of data science. Through the program developed in this study, education that combines various topics and subjects can be linked based on real-life data. Furthermore, based on an understanding of data, it will lay the foundation for a more substantial AI education program.

• 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.