• 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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• 2021.01a
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• pp.341-344
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• 2021

현재 우리나라는 소프트웨어(SW)에 대한 관심 증가에도 불구하고 초등 소프트웨어 교육을 위한 표준 교육 계획이 마련되지 않아 체계적인 교육을 통한 컴퓨팅 사고력 배양이 어려운 상황이다. 따라서 본 논문에서는 언플러그드 활동을 통해 컴퓨팅 사고력을 증진시킨 후 이를 바탕으로 코딩 문제해결능력을 향상시킬 수 있는 교육 콘텐츠의 필요성에 대해 인식하였고, 언플러그드와 블록 코딩을 연계한 초등 소프트웨어 교육 계획을 제안한다. 교육 계획은 소프트웨어에 대한 접근, 언플러그드 교육을 통한 컴퓨팅 사고력 향상, 코딩 교육을 통한 문제 해결 능력 향상 과정 등 총 3단계로 구성되었다. 개발된 콘텐츠의 매 주제는 언플러그드 교육과 코딩 교육이 서로 연계되도록 구성하여, 코딩 개념 학습 및 이와 연관된 컴퓨팅 사고력 향상 후, 학습된 내용을 코딩 과정에서 실체화 하도록 하여 응용력이 배양될 수 있도록 하였다.

• 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.

• Journal of The Korean Association of Information Education
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• v.26 no.2
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• pp.141-151
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• 2022

Recently, basic literacy education related to digital literacy and data literacy has been emphasized for students who will live in a rapidly developing future digital society. Accordingly, demand for education to improve big data and data literacy is also increasing in general universities and universities of education as basic knowledge. Therefore, this study designed and applied big data analysis courses for pre-service teachers and analyzed the impact on data literacy. As a result of analyzing the interest and understanding of the input program, it was confirmed that it was an appropriate form for the level of pre-service teachers, and there was a significant improvement in competencies in all areas of 'knowledge', 'skills', and 'values and attitudes' of data literacy. It is hoped that the results of this study will contribute to enhancing the data literacy of students and pre-served teachers by helping with systematic data literacy educational research.

• Proceedings of the Korean Society of Computer Information Conference
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• 2019.01a
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• pp.327-330
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• 2019

본 연구는 기존의 소프트웨어 교육 방법이 가지는 문제점을 분석하고, 이를 해결하기 위한 방안으로 존듀이와 프레네의 경험 중심 교육 방법에 기반을 둔 새로운 소프트웨어 교육 모델을 제안한다. 경험 중심 기반의 새로운 소프트웨어 교육 방법은 학습자들의 자율성을 보장하고, 학습자들 간의 상호작용을 통해 일상생활의 문제점을 해결할 수 있는 문제 해결력을 기르는데 중점을 두고 있다. 따라서 본 연구는 자유로운 사고방식으로 일상생활의 다양한 문제를 발견할 수 있는 능력과 다양한 경험을 통해 이를 해결할 수 있는 능력을 기르도록 체계화된 소프트웨어 교육 모델을 구성할 것이며 이를 통해 소프트웨어 교육의 발전에 기여하고자 한다.

• Journal of the Korea Society of Computer and Information
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• v.24 no.1
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• pp.239-246
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• 2019

In this paper, we propose an effective software education donation model for the social care class. The types of software education for elementary, middle, and high school for the social care class are in the order of after school classes, club activities, creative experiences, and regular classes. In elementary school students, it is effective to precede visual programming education based on block coding and to conduct curriculum convergence with SW and HW at the beginning, and high school students are carrying out text programming education like Python. Software education for social care class The contribution activity model can be classified into five types such as geographically difficult area, multicultural family areas, orphanage, reformatory, and basic livelihood security recipient. In addition, the survey results show that the students' interest in software education and their satisfaction are all very high at 96%. Effective software education for the social care class In the donation model, the lecturers consist of responsible professors, lecturers, and assistant instructors. Software training for the social care class is effective on a year-by-year basis, so that students can feel authenticity and trust. Software education contents focus on visual programming and physical computing education in elementary or middle school, and text programming and physical computing education in high school. It is necessary to construct a software education donor matching system that helps efficient management of software education donations by efficiently matching schools (consumers: elementary, middle, high school) and software education donors(suppliers).

• Journal of Engineering Education Research
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• v.25 no.6
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• pp.58-68
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• 2022

This paper aims to prepare basic design education materials explaining the design process of egg drop device by incorporating critico(-creative) thinking. To this end, in this paper, by utilizing the creative problem solving process and the elements and standards of critical thinking, 'the five-step creative engineering design education guidelines' have been prepared so that engineering freshmen can effectively participate in engineering design projects without major knowledge. We would like to apply them to the egg drop device design. The egg drop device design, which is experiment to make and drop a drop device that can protect an egg from breaking when it is dropped freely from high places, is an engineering design project that is widely used not only in elementary, middle and high school science events but also in engineering education courses under the name of 'stunt egg'. Perhaps the basic design education material on the egg drop device design incorporating critico(-creative) thinking in this paper will contribute to incorporating critico(-creative) thinking into engineering education, as well as to achieving the educational goals of the basic design subject.

• The Journal of Information Systems
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• v.30 no.3
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• pp.177-199
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• 2021

Purpose This study explores the development direction of the artificial intelligence curriculum as a universal education that enhances the ability of college students to flexibly use artificial intelligence these days, where artificial intelligence education is spreading, and the educational components based on this are subdivided according to the characteristics of each major. Design/methodology/approach In order to develop the educational purpose of the subject and the detailed educational curriculum suitable for the subject of education, we first analyzed domestic and foreign prior research related to artificial intelligence liberal arts education. As the main components derived by experts, the basic concept of artificial intelligence converges to literacy to read and write for everyday problem solving, as well as problem-solving ability to manipulate real data and software. Findings The results showed that In the artificial intelligence literacy module, trends and prospects of artificial intelligence and necessary competencies were checked, and cases applied to major fields were examined. In the AI utilization and application part, basic data analysis items and content composition were composed through creative thinking, logical thinking, and intelligence. In order to design the curriculum, a software development language suitable for each major area was first selected, and AI education content areas, elements, and packages were defined and designed for each major area to meet the objectives of the subject.

• Journal of The Korean Association of Information Education
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• v.24 no.5
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• pp.463-471
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• 2020

Humanity faces the fourth industrial revolution, a time of technological revolution by the collaboration of various industries including the fields of artificial intelligence(AI) and big data. Many countries are focused on fostering AI talent to prevail in the coming technological revolution. While Korea also provides some strategies to enhance the cultivation of AI talent, it is still difficult for Korean undergraduate students to get involved in AI studies. Through on the implementation of 'Big data analysis based AI education', which allows an easier approach to AI education, this paper examined the changes in the attitudes of undergraduate students regarding general AI education. 'Big data analysis based AI education' was provided at undergraduate level for 5.5 weeks (15 hours). The attitudes of undergraduate students were analyzed by pre-postmortem. The results showed there was a significant improvement in confidence and self-directed in regard to receiving AI education. With these results, further active research to develop basic AI education that also increases confidence and self-initiative can be expected.

• Journal of The Korean Association of Information Education
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• v.22 no.4
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• pp.501-508
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• 2018

Virtual reality contents can contribute to students' experience in teaching and learning activities, and teachers and students are increasingly interested in using virtual reality in educational settings. For this purpose, We have developed a curriculum designed to teach pre-service teachers Cospaces at the College of Education and analyzed the influence of learners on learning motivation. For the evaluation of this study, a pre- and post-questionnaire was conducted and analyzed. As a result, attention and confidence of learning motivation differ according to gender, and new technology and achievement affect learning motivation.