• Title/Summary/Keyword: AI.SW 교육

Search Result 83, Processing Time 0.023 seconds

Design of Elementary, Middle and High School SW·AI-based Learning Platform in IoT Environment (사물인터넷 환경에서의 초·중·고 SW·AI기반 학습 플랫폼 설계)

  • Keun-Ho Lee
    • Journal of Internet of Things and Convergence
    • /
    • v.9 no.1
    • /
    • pp.117-123
    • /
    • 2023
  • While applying new digital technologies, interest in software and artificial intelligence is quite high. In particular, many changes are being made for the development of software and artificial intelligence in the field of education. From 2025, software and artificial intelligence-related curricula will be applied to public education in elementary, middle and high schools. The Ministry of Education is also conducting various camps to experience software and artificial intelligence in various ways in elementary, middle and high schools before they are applied to public education. Several platforms for experience camps related to software and artificial intelligence are also being used. In this study, we intend to increase the educational efficiency of the learning method for software and artificial intelligence to be developed in the future by designing a model for software and artificial intelligence experiential learning platforms.

Trend Analysis of Information Gifted Children Research: Focused on Research from 2016 to 2022 (국내 정보 영재 연구 동향 분석 : 2016 ~ 2022년까지의 연구를 중심으로)

  • Suhun Lim;Hyunwoo Moon;Youngjun Lee
    • Proceedings of the Korean Society of Computer Information Conference
    • /
    • 2023.07a
    • /
    • pp.381-383
    • /
    • 2023
  • 본 연구는 2016년 이후 2022년까지의 국내 정보영재 관련 연구를 분석하여 이를 통해 향후 정보영재 관련 연구의 방향을 모색하기 위해 시도되었다. 이를 위하여 한국교육학술정보원에서 제공하는 학술지 수록 총 38편의 논문을 대상으로 발행 연도, 연구 대상, 연구 주제, 연구 방법 등을 분석하였다. 그 결과 활발한 정보영재 관련 연구가 필요하고, 연구 주제 측면에서 정보영재 판별과 선발, 교원의 전문성에 관련된 연구가 필요하며, 내용 체계 기준으로 AI, 데이터 관련 연구가 필요함을 알 수 있었다.

  • PDF

A Study on ARCS-DEVS-based Programming Learning Methods for SW/AI Basic Liberal Arts Education for Non-majors (비전공자 대상 SW/AI 기초 교양 교육을 위한 ARCS-DEVS 모델 기반의 프로그래밍 학습방법 연구)

  • Han, Youngshin
    • Journal of Korea Multimedia Society
    • /
    • v.25 no.2
    • /
    • pp.311-324
    • /
    • 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.

The Development and Application of the Big Data Analysis Course for the Improvement of the Data Literacy Competency of Teacher Training College Students (예비교사의 데이터 리터러시 역량 증진을 위한 빅데이터 분석 교양강좌의 개발 및 적용)

  • Kim, Seulki;Kim, Taeyoung
    • Journal of The Korean Association of Information Education
    • /
    • v.26 no.2
    • /
    • pp.141-151
    • /
    • 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.

A Study on Middle School Students' Perception on Intelligent Robots as companions. (지능형 로봇과의 공존에 대한 중학생들의 인식 조사)

  • Kim, YangEun;Kim, HyeonCheol
    • The Journal of Korean Association of Computer Education
    • /
    • v.22 no.4
    • /
    • pp.35-45
    • /
    • 2019
  • How future generations perceive coexistence with intelligent robots is an important element of how SW and artificial intelligence education should be designed and conducted. This study conducted a survey of 214 first graders in middle school and looked at differences in understanding and perception of coexistence through empathy and expected problem situations depending on the type of intelligent robot. As a result of the analysis, Firstly, if the form was not explicit, it was recognized as a top-down relationship, and Second, in the case of human form, it was ready to recognize intelligent robots and communicate with them. Third, Many people were feeling Emotion in the Robot shape AI. Fourth, there was a vague sense of uneasiness about simple mechanical robots. The study is meaningful as a case study to confirm awareness of intelligent robots and needs to consider and establish awareness of whether they can coexist and live together with robots by age group as well as middle school students.

Teachers' Intention to Use Liveworksheets Applying UTAUT Model (UTAUT 모형을 적용한 현장 교원의 라이브워크시트 활용 의도 분석 연구)

  • Choi, Eunsun;Park, Namje
    • Journal of The Korean Association of Information Education
    • /
    • v.25 no.2
    • /
    • pp.413-421
    • /
    • 2021
  • In line with the social changes due to the Fourth Industrial Revolution, foreign countries are strengthening information education for the future of education. This study analyzed the current status of software (SW) and artificial intelligence (AI) education among different types of information education programs in elementary schools of major foreign countries, and compared them with the education provided in Korea. Compared to major foreign countries, Korea allocated very little time for software education in elementary schools, making it difficult to sufficiently cover all areas of the curriculum achievement standards. In addition, other countries recognized the importance of artificial intelligence, an important technology of the Fourth Industrial Revolution, and were providing artificial intelligence education on the basis of software education at the national level. The Korean government is also planning on providing the education at national level, but it was identified that the information education of elementary schools have many problematic issues. This study emphasized the need to establish an information curriculum for elementary schools as a way to address these issues.

A Study on the Value of Archival Contents in University Practical Education : Focusing on University-Industry Cooperation for SW Practical Education (대학 실습 교육용 기록정보콘텐츠 가치 연구 : 산학연계형 SW실습교육을 중심으로)

  • SUN A LEE;SE JONG OH
    • The Journal of the Convergence on Culture Technology
    • /
    • v.10 no.2
    • /
    • pp.537-545
    • /
    • 2024
  • The importance of University Archives Management is increasing. In this study, we researched cases of collecting and managing educational archival contents in universities. Developed archival contents for software practical education, and implemented it to the Capstone Design course and overseas program. The effect of applying the model was analyzed through surveys and interviews. The Capstone Design Survey, involving 349 participants, indicated the highest satisfaction with the University-Industry Cooperation type. The experience of dissemination and enhancement was aggregated as the second highest satisfaction. In the second survey, 62 students who had participated in the overseas program over the span of two years took part. All nine Likert-type questions showed high satisfaction scores of more than 4 points. The top three satisfaction factors-content, program type, and advanced experience-showed high satisfaction scores of 4.85, 4.74, and 4.71, respectively. Through interviews with professors, mentors, and students, it was also confirmed that instructional methods utilizing archival contents are effective. And the model we developed is applicable for convergence education.

The Analysis on Research Trends in Data Education for K-12 students (초·중·고등학생 대상 데이터 교육 연구 동향 분석)

  • Hyunwoo Moon;Youngjun Lee
    • Proceedings of the Korean Society of Computer Information Conference
    • /
    • 2023.07a
    • /
    • pp.391-394
    • /
    • 2023
  • 본 연구에서는 국내 초·중·고 정보교육에서 이뤄지고 있는 데이터 교육 연구 동향을 분석하여, 향후 데이터 교육의 연구 방향을 제안하고자 하였다. 이를 위해 2015년부터 2023년 5월까지 게재된 국내 논문 중 데이터 교육 관련 논문 45편을 발행 연도, 연구 대상, 연구 분야, 데이터 리터러시 요소별로 분석하였다. 분석 결과 데이터 교육은 초등학생을 대상으로 집중적으로 이뤄지고 있었고 개발 및 적용 관련 연구가 가장 많이 이뤄지고 있었다. 또한 데이터 리터러시의 전 요소를 포함한 연구와 인공지능과 관련된 연구의 비중이 높음을 확인할 수 있었다. 따라서 본 연구를 바탕으로 SW·AI 교육을 위한 데이터 교육이 활발히 이뤄지길 기대한다.

  • PDF

A Research on Curriculum Design for Artificial Intelligence Liberal Arts Education by Major Category : Focusing on the Case of D University (전공계열별 인공지능 교양교육을 위한 교육과정 제언 : D대학 교양필수 교과목 사례를 중심으로)

  • Park, So Hyun;Suh, Eung Kyo
    • The Journal of Information Systems
    • /
    • v.30 no.3
    • /
    • pp.177-199
    • /
    • 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.

A proposed framework for UX evaluation of artificial intelligence services (인공지능 서비스 UX 평가를 위한 프레임워크)

  • Hur, Su-Jin;Youn, Joosang;Kim, Sung-Hee
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
    • /
    • 2021.05a
    • /
    • pp.274-276
    • /
    • 2021
  • As artificial intelligence develops rapidly, we can experience it in our everyday life such as with medical, education, and game applications. Traditional SW services were programmed explicitly by the intention of the programmer, and we have conducted evaluation on it. However, due to the uncertianty of AI services, risk follows to the products. Therefore, UX evaluations need to be different from traditional UX evaluations. Therefore, in this paper we suggest a AI-UX framework that consideres the task delegability, UX evaluations metrics, and individual differences.

  • PDF