• Title/Summary/Keyword: 피지컬 컴퓨팅 교육

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An Analysis on Artificial Intelligence Education for Disadvantaged student (소외계층 학생의 인공지능 교육 실태 조사)

  • Kim, Seong-Won;Kim, Youngmin;Lee, Youngjun
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2022.01a
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    • pp.235-236
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    • 2022
  • 본 논문에서는 인공지능 교육에서 소외계층의 지원 방안을 도출하기 위하여 소외계층과 일반 학생의 인공지능 교육과 관련된 여러 요인의 실태를 조사하였다. 실태 조사 결과를 소외계층과 일반 학생을 비교하여, 소외계층의 인공지능 교육에서 시사점을 도출하고자 하였다. 연구를 위하여 인공지능 교육 관련 실태를 조사할 수 있는 설문을 구성하였으며, 온라인을 통해 설문을 진행하였다. 연구 결과, 소외계층 662명과 일반 학생 1,482명이 설문에 참여하였다. 소외계층은 일반 학생보다 인공지능에 대한 관심이 높았으며, 프로그램이 언어나 피지컬 컴퓨팅을 경험한 학생 비율이 높았다. 또한, 인공지능 직&·간접적 경험의 비율은 일반 학생과 비슷한 수준이었다. 하지만 인공지능 교육 경험 비율은 일반 학생이 약 20% 높았다. 이러한 내용을 종합하였을 때, 인공지능 교육에 대한 관심은 높지만, 인공지능 교육을 받는 학생의 비율은 낮은 것을 확인할 수 있었다.

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Analysis of Administrator's Difficulties in Software Education Operations (소프트웨어 교육 운영에서 학교 관리자의 어려움 분석)

  • Kim, Seong-Won;Lee, Youngjun
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2020.07a
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    • pp.235-236
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    • 2020
  • 본 연구에서는 소프트웨어 교육에 대한 학교 관리자의 인식을 조사하였다. 소프트웨어 교육을 진행하고 있는 학교 관리자를 대상으로 소프트웨어 교육 운영 과정에서 느끼는 어려움을 분석하였다. 연구 결과, 학교 관리자는 소프트웨어 교육 운영 과정에서 컴퓨터 실습실이나 피지컬 컴퓨팅 같은 교구, 소프트웨어 교육 운영을 위한 예산에 어려움을 느끼고 있었다. 또한, 수업 전문성을 갖춘 교사가 부족한 것도 소프트웨어 교육 운영에 어려움으로 느끼고 있었다. 학생과 학부모의 인식은 소프트웨어 교육 운영에 미치는 영향은 높지 않았으나 학교급이 높아질수록 부정적인 인식이 증가하였다.

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A Study of Programming Class using Raspberry Pi for Students of Industrial Specialized High School (공업계 특성화 고등학생을 위한 라즈베리파이를 활용한 프로그래밍 수업 방안)

  • Kim, Se-min;Choi, Sook-young
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.21 no.1
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    • pp.165-172
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    • 2017
  • Recently, many supports about the education linked with industrial field have been provided in technical specialized high schools. In order to keep pace with the global trend to emphasize software education and to move away from traditional grammar-based programming learning, various physical computing tools have been used in the education fields. For this study, we conducted a programming class using Raspberry Pi for technical high school students. In the class, students were instructed to produce actual results based on the knowledge they had learned. Project-based learning was used to help students create products and thus they performed tasks while discussing and collaborating on a team-by-team basis. In particular, self-regulation learning strategies were considered to provide effective project-based instruction. After the class, we interviewed the students' satisfaction with it. The results showed that the students' satisfaction was high, and the fellow teachers also had a lot of possibilities and expectations about the programming instruction and project-based learning using Raspberry Pi.

Comparison of Unplugged Activities at Home and Abroad using Semantic Network Analysis (시맨틱 네트워크 분석을 이용한 국내외 언플러그드 활동 관련 연구 비교)

  • Kang, Doo Bong
    • The Journal of Korean Association of Computer Education
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    • v.22 no.4
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    • pp.21-34
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    • 2019
  • SW education is being implemented in all the school due to the application of the 2015 Curriculum. The purpose of SW education is to improve Computational Thinking by using Unplugged Activities, Educational Programming Language, and Physical Computing. Among them, 73 domestic and 85 overseas researches related to 'Unplugged Activities' were compared and analyzed using semantic network analysis techniques. As a result, the research on 'Unplugged Activities' has been started from 1998, and the research has started in Korea since 2006. As the CT is recognized as a core competence for the future society in line with the 4th Industrial Revolution, researches have been rapidly increasing in both the domestic and overseas countries since 2016. In Korean studies, it was analyzed that many main words related to the elemental factors such as 'unplugged activity', 'robot utilization', 'educational programming language' were found. This suggests that future research should move toward research for the promotion of 'CT' which is the purpose of computer science.

Development and Application of Educational Contents for Software Education based on the Integrative Production for Increasing the IT Competence of Elementary Students (초등학생의 미래 IT역량 강화를 위한 융합적 산출물 기반 소프트웨어 교육용 콘텐츠 개발 및 적용)

  • Seo, Jeonghyun;Kim, Yungsik
    • Journal of The Korean Association of Information Education
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    • v.20 no.4
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    • pp.357-366
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    • 2016
  • The ability of computational thinking is a key competence that person of talent in the future should keep. Computational thinking is a serial process in which a problem is defined in context of computing, stages of abstraction are processed in order to find the efficient solution, the most appropriate process and resources for a solution are selected and combined through algorithms which use various concepts, principles and methods for automatic implementation of abstract concepts. It needs appropriate learning content in stage of elementary school. This study has verified the effect it made on improvement of learner's creative personality by developing and applying the educational content for software education based on the integrative production. The result of study confirmed that learning through the educational content for software education based on the integrative production affects improvement on learner's creativity positively and suggested a method of applying it to computing education in elementary school.

Teacher Training Program and Analysis of Teacher's Demands to Strengthen Artificial Intelligence Education (인공지능교육 역량 강화를 위한 교원 연수 프로그램과 교사 요구분석)

  • Jeon, In-Seong;Jun, Soo-Jin;Song, Ki-Sang
    • Journal of The Korean Association of Information Education
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    • v.24 no.4
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    • pp.279-289
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    • 2020
  • The purpose of this study is to apply the training program for teachers to strengthen the competence of artificial intelligence education in primary and secondary school teachers and to analyze its effectiveness and analyze teachers' demands for artificial intelligence education to provide basic research data. The referenced training program was designed based on the ADDIE model by selecting the educational contents based on the five core elements of AI, and teachers from the G Metropolitan Office of Education and the AI Education Research Association collaborated to develop the program. The effectiveness of the developed program and questionnaire of teacher needs analysis for AI teaching were examined for content validity. As a result of the training conducted by applying the developed program, satisfaction with each curriculum of the training and the possibility of application to the field were highly evaluated. It was found that teachers consider the need of teaching unplugged activities for AI education and basic AI experiences in elementary school level, and AI education contents including block programming languages and physical computing activities are needed to teach in middle school level.

Exploring the Design of Artificial Intelligence Convergence Liberal Arts Curriculum Based on Flipped Learning and Maker Education: Focusing on Learner Needs Assessment (플립 러닝과 메이커 교육 기반 인공지능 융합교양교과목 설계 방향 탐색 : 학습자 요구 분석을 중심으로)

  • Kim, Sung-ae
    • Journal of Practical Engineering Education
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    • v.13 no.2
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    • pp.221-232
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    • 2021
  • The purpose of this study is to explore the design direction of artificial intelligence convergence liberal arts subjects based on flip learning and maker education through analysis of learner needs in a non-face-to-face classroom environment caused by COVID-19. To this end, we analyzed the priorities of subject content elements by using the Borich needs assessment and The Locus for Focus model along with students' perceptions of flip learning for students who took and did not take maker education-based liberal arts courses. Based on this, it was used as basic data for designing the curriculum. The study results are as follows. First, the content elements of the artificial intelligence liberal arts curriculum based on maker education consisted of a total of 9 areas and were designed as a class using flip learning. Second, the areas with the highest demand for education are 'Artificial Intelligence Theory', 'Artificial Intelligence Programming Practice', 'Physical Computing Theory', 'Physical Computing Practice', followed by 'Convergence Project', '3D Printing Theory', '3D Printing practice' was decided. Third, most of the questionnaires regarding the application of flip learning in maker education-based artificial intelligence liberal arts subjects showed positive responses regardless of whether they took the course, and the satisfaction of the students was very high. Based on this, an artificial intelligence-based convergence liberal arts curriculum using flip learning and maker education was designed. This is meaningful in that it provides an opportunity to cultivate artificial intelligence literacy for college students by preparing the foundation for artificial intelligence convergence education in liberal arts education by reflecting the needs of students.

The Effect of Data Science Education on Elementary School Students' Computational Thinking: Focusing on Micro:bit's Sensor Function (데이터 과학 교육이 초등학생의 컴퓨팅 사고력에 미치는 효과: 마이크로비트의 센서 기능을 중심으로)

  • Kim, Bongchul;Kim, Jaejun;Moon, Woojong;Seo, Youngho;Kim, Jungah;OH, Jeongcheol;Kim, Yongmin;Kim, Jonghoon
    • 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.

A Study on the Usage of Digital Device Based on Digital Literacy (디지털 리터러시에 기반한 디지털 기기 활용방안 연구)

  • Go, HakNeung;Lee, Youngjun
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2019.07a
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    • pp.219-222
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    • 2019
  • 4차 산업혁명이 언급되면서 3D 프린터, 로봇, 인공지능, 빅데이터 등 신기술이 발전하고 이는 사회 구조를 변화시킬 것으로 예상된다. 이에 새로운 디지털 기기, 기술들을 이해하는 디지털 리터러시가 중요해지고 있다. 2015 OECD PISA에서 ICT 배경조사 중 한국은 접근성, 활용성 부분과 2018 국가수준 디지털 리터러시 수준 측정연구, 학생들의 디지털 기기의 인식 여부 및 활용 여부 실태조사를 바탕으로 디지털 기기 활용 공간 구성 및 디지털 기기 활용 콘텐츠를 다음과 같이 제안하였다. 먼저 구체적 조작기인 초등학생임을 고려하여 디지털 기기 위주 프로그램으로 선정하였다. 디지털 기기 활용 공간은 기반 기기로 컴퓨터(노트북), 유 무선 인터넷, 디지털 기기로 3D 프린터 및 3D 프린팅 펜, 스마트폰 기반 VR기기, AR마커, 블록코딩 기반 피지컬 컴퓨팅 교구 등을 이용해서 구성하였다. 활용하는 콘텐츠는 학생들의 인식 여부 및 수준에 맞춰 체험 위주의 프로그램과 학습, 콘텐츠 제작, 문제해결 프로그램으로 제시하였다.

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Analyzing the level of resilience by gender in computational thinking classes (컴퓨팅 사고 강좌에서 성별에 따른 회복탄력성 수준 분석)

  • Kim, Semin;Choi, Sookyoung
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.25 no.2
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    • pp.252-258
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    • 2021
  • Software subjects such as programming practice and physical computing may have differences between men and women, and there may be individual differences in resilience due to errors and debugging. Therefore, in this study, we analyze gender differences in computational thinking classes by using a resilience testing tool. The results of this study showed that the two groups were homogeneous, and the male group did not show significant changes in resilience, but the female group showed significant increases in resilience. This study confirmed the possibility of reducing the gender gap of learners by allowing a group of female students who did not show strength in traditional software education to become more motivated and interested in the information and communication field through appropriate learning content and learning strategies in computational thinking classes.