• Journal of The Korean Association of Information Education
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• v.21 no.4
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• pp.393-401
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• 2017

The purpose of this study is to develop a deep learning based learning system for improving learner's data analytical thinking ability. The contents of the study are as follows. First, deep learning was applied to the discovery learning model to improve data analytical thinking ability. This is a learning method that can generate a model showing the relationship of given data by using the deep learning method, then apply the model to new data to obtain the result. Second, we developed a deep learning based system for DBD learning model. Specifically, we developed a system to generate a model of data using the deep learning method and to apply this model. The research of deep learning based learning system will be a new approach to improve learner's data analytical thinking ability in future society where data becomes more important.

• Journal of The Korean Association of Information Education
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• v.25 no.6
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• pp.917-925
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• 2021

This study aims to specify a constructivism-based instructional method using a modular data analysis tool. The value and meaning of a modular data analysis tool have been examined to be applied in the national curriculum for artificial intelligence education and the process of cultivating problem-solving ability based on computational thinking. The modular data analysis tool visually expresses the cognitive thinking process that forms the schema in equilibrating through assimilation and adjustment. Artificial intelligence education has features that embody abstract knowledge and structure the data analysis module through the represented schema as a BlackBox implemented as an algorithm. Therefore, the value of the modular data analysis tool could be examined because it has the advantage of connecting the conceptual and implicit schema.

• Journal of The Korean Association of Information Education
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• v.23 no.4
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• pp.283-292
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• 2019

In this study, an unplugged education method which focuses on the data visualization training was applied to third grade students of an elementary school and analyzed its impact on enhancing their computational thinking. The analysis was conducted on 60 elementary school teachers and 124 third grade students and the unplugged education program based on the data visualization procedure was developed. The education program developed was carried out with 24 third grade students for 36 hours over six days. The effect of the program applied was analyzed through the pre-to-post comparison performed with perceptive strength test and creativity test in order to examine the enhancement in computational thinking. According to the analysis result, the unplugged education method which focuses on the data visualization training has significant effect on the 'computational perception' and 'creativity' of third grade students.

• Journal of The Korean Association of Information Education
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• v.25 no.5
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• pp.751-759
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• 2021

This study developed an artificial intelligence education program using localized public data as an educational method for improving computing thinking skills of elementary school students. According to the ADDIE model, the program design was carried out based on the results of pre-requisite analysis for elementary school students, and textbooks and education programs were developed. Based on localized public data, the training program was constructed to learn the principles of artificial intelligence using machine learning for kids and scratches and to solve problems and improve computational thinking through abstracting public data for purpose. It is necessary to put this training program into the field through further research and verify the change in students' computational thinking as a result.

• Journal of The Korean Association of Information Education
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• v.25 no.2
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• pp.367-375
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• 2021

This study developed and applied an artificial intelligence education program as an educational method for increasing computational thinking of elementary school students and verified its effectiveness. The educational program was designed based on the results of a demand analysis conducted using Google survey of 100 elementary school teachers in advance according to the ADDIE(Analysis-Design-Development-Implementation-Evaluation) model. Among Machine Learning for Kids, we use scratch for block-based programming and develop and apply textbooks to improve computational thinking in the programming process of learning the principles of artificial intelligence and solving problems directly by utilizing numerical data. The degree of change in computational thinking was analyzed through pre- and post-test results using beaver challenge, and the analysis showed that this study had a positive impact on improving computational thinking of elementary school students.

• Journal of The Korean Association of Information Education
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• v.25 no.2
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• pp.327-335
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• 2021

This study verified the effectiveness of machine learning education programs focused on data labeling as an educational method for improving computational thinking of elementary school students. The education program was designed and developed based on the results of a preliminary demand analysis conducted on 100 elementary school teachers. In order to verify the effectiveness of the developed education program, 17 sixth-grade students attending K Elementary School were given 2 classes per day for a total of 6 weeks. In order to measure the effect of the training on improving computational thinking, the educational effects were analyzed by conducting pre-post-inspection using the "Beaver Challenge". According to the analysis, machine learning education focused on data labeling contributed to improving computational thinking of elementary school students.

• 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.25 no.2
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• pp.337-346
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• 2021

Despite the increasing rate of use of data science in various fields of society, research on data science education programs is relatively inadequate. In this study, a data science education program for elementary school students was developed and its effectiveness was verified. We created a program that collects data using microbit, one of the physical computing tools, and developed an education program that performs the data science stage of analyzing the collected data to derive results. A study was conducted on 10 students enrolled in the Information Gifted Program at 00 University, and pre- and post-tests of computing thinking skills were conducted to verify the effectiveness. As a result, it was found that the data science education program developed through this study has a significant effect on improving the computational thinking of elementary school students.

• Journal of The Korean Association of Information Education
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• v.21 no.2
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• pp.219-230
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• 2017

In this study, we developed a data science education program using spreadsheet, applied it after educational method to improve elementary school student 's Computational Thinking, and then verified its effect. Based on the results of preliminary requirement analysis conducted by Rossett's request analysis the educational program was developed based on the procedure of the ADDIE model which is the representative model of the teaching design based on the result of prior requirement analysis of 205 elementary school students and computer teaching major 20 incumbent elementary school teachers, applying Rossett's requirement analysis model. In order to verify the effect of the developed educational program, we are promoting 42 hours of lecture for a total of 6 days for 20 students of applicants who volunteered for volunteer votes of educational donation programs implemented at ${\bigcirc}{\bigcirc}$University, We analyzed the educational effect using the results of pre-post test. As a result of the analysis, we learned that the educational program developed in this study is effective for improving elementary school student 's Computational Thinking.

• Proceedings of The KACE
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• 2018.08a
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• pp.3-6
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• 2018

2015 개정 교육과정에 따라 2019년 3월부터 초등학교 5~6학년 학생을 대상으로 소프트웨어 교육이 실시된다. 궁극적인 소프트웨어 교육의 목표는 컴퓨팅 사고력을 갖춘 창의 융합형 인재를 양성하는 것이다. 이를 위해 초등학교에서는 알고리즘과 프로그래밍의 체험을 통해 소프트웨어 기초 소양을 함양하는 것을 목표로 한다. 이러한 컴퓨팅 사고력을 수업에 효과적으로 적용하기 위해 전용주(2017)는 소프트웨어 및 컴퓨팅에 관련된 사고과정과 원리를 실생활의 소재와 관련지어 창의적이고 능동적으로 그 해결방안을 구현해가는 과정으로 제시할 수 있는 수업 구성 원리인 CT-CPS 수업 모형을 개발하였다. 또한 교육부는 2015 개정 교육과정 실시 전, 소프트웨어 교육을 위한 선도학교를 전국에 지정하여 운영하였다. 선도학교에서의 소프트웨어 교육과정을 분석한 결과 주로 컴퓨팅 사고력의 구성요소 중 알고리즘과 자동화에 초점이 맞춰져 있었다. 엔트리와 스크래치와 같은 블록 프로그래밍 도구를 사용한 코딩교육과 로봇교육을 주로 실시했고, 실제 문제에 대한 학생들이 자료를 직접 다루는 시간은 찾아보기 힘들었다. 컴퓨팅사고력 향상을 위해서는 학생들이 실제 자료를 수집, 분석, 표현해보는 활동이 반드시 필요하다. 이에 본 연구에서 NetsBlox을 활용하고자 한다. NetsBlox는 학생들에게 익숙한 블록형 프로그래밍 도구로 실제 데이터를 온라인상에서 쉽게 받아와서 수집, 분석, 표현을 하게 도와주는 역할을 한다. 따라서 본 연구에서는 초등학생을 위한 NetsBlox를 활용한 CT-CPS기반 프로그래밍 수업을 설계하고자 한다.