• Title/Summary/Keyword: 인공지능 교육시스템

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Predicting the Effect of Fusion of Artificial Intelligence Education and Maker Education Using System Dynamics (시스템 사고를 활용한 인공지능 교육과 메이커 교육 융합 효과성 예측)

  • Yang, Hwan-Geun;Lee, Tae-Wuk
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2020.01a
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    • pp.117-120
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    • 2020
  • 본 논문은 인공지능 메이커 교육과 관련한 요소를 논문 네트워크 키워드 분석과 다양한 빅데이터를 종합하여 핵심용어를 선정 후 인공지능 메이커 교육을 시스템 다이내믹스의 Vensim프로그램으로 인과지도(Casual Loop Diagramming)를 구조분석(모델의 구조)하여 예측 결과를 토대로 향후 미래 상황 추출 및 정책 결정 연구에 영향을 기여한다. 연구 결과 인공지능 교육 정책은 추후 인공지능 교육과 메이커 교육을 융합한 교육 관련 산업이 증대할 것으로 예측되며 교육 경쟁력 향상과 창의적 인재 양성, OTT를 이용한 인공지능 교육 콘텐츠 향상으로 학습에 활용성이 증대하게 된다. 또한 인공지능 교육 정책은 프로그래밍 교육으로 연결되어 성장기 학습자들의 사고력과 정서 발달에 도움 되며 다양한 교재 및 기기 등장으로 인한 학습에 다양성 역시 증가할 것으로 예측된다. 학교 차원에서는 교수·연구 지원 활동이 증가하여 수업 전문성을 가진 교사가 늘어나 학교 교육의 질은 확대되고 학부모는 인공지능 교육 정책에 긍정적으로 된다. 시스템 다이내믹스는 구조가 형태를 결정짓는다는 세계관에 기초하여 피드백 루프와 동태적 형태 유형을 파악하며 다양한 가능성이 존재하게 된다. 이는 추후 다양한 연구를 통해 인공지능 교육 정책 인과지도의 확대로 연결될 수 있음을 암시하며 본 논문을 통해 인공지능 교육 연구 확산에 시발점이 되었으면 한다.

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Analysis of functions and applications of intelligent tutoring system for personalized adaptive learning in mathematics (개인 맞춤형 수학 학습을 위한 인공지능 교육시스템의 기능과 적용 사례 분석)

  • Sung, Jihyun
    • The Mathematical Education
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    • v.62 no.3
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    • pp.303-326
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    • 2023
  • Mathematics is a discipline with a strong systemic structure, and learning deficits in previous stages have a great influence on the next stages of learning. Therefore, it is necessary to frequently check whether students have learned well and to provide immediate feedback, and for this purpose, intelligent tutoring system(ITS) can be used in math education. For this reason, it is necessary to reveal how the intelligent tutoring system is effective in personalized adaptive learning. The purpose of this study is to investigate the functions and applications of intelligent tutoring system for personalized adaptive learning in mathematics. To achieve this goal, literature reviews and surveys with students were applied to derive implications. Based on the literature reviews, the functions of intelligent tutoring system for personalized adaptive learning were derived. They can be broadly divided into diagnosis and evaluation, analysis and prediction, and feedback and content delivery. The learning and lesson plans were designed by them and it was applied to fifth graders in elementary school for about three months. As a result of this study, intelligent tutoring system was mostly supporting personalized adaptive learning in mathematics in several ways. Also, the researcher suggested that more sophisticated materials and technologies should be developed for effective personalized adaptive learning in mathematics by using intelligent tutoring system.

Artificial Intelligence in Library Instruction (인공지능을 이용한 도서관 이용자 교육)

  • Tak, Hae-Kyung
    • Journal of Information Management
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    • v.27 no.3
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    • pp.41-60
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    • 1996
  • Export system using artificial intelligence give the technology for the varied library user instruction. Expert system showing problem solving process give educational effectives. In this paper, expert system are reviewed to discuss the application possibility in education and the model of intelligent tutoring system(ITS) applying artificial intelligence is presented.

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A Curricular Study on AI & ES in Library and Information Science (문헌정보학에서의 인공지능과 전문가시스템 교육과정 연구)

  • Koo Bon-Young;Park Mi-Young
    • Journal of the Korean Society for Library and Information Science
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    • v.32 no.2
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    • pp.211-232
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    • 1998
  • It is the purpose of this study to specify contents of Library and Information Science to train information professional to meet environment change of technology and system. Among them. recognizing necessity of present Artificial Intelligence and Export System (AI and ES) required by changing environment of latest Information technology, it is also the purpose of this work to figure out fundamental data and the way of solution how to introduce what contents out of AI and ES to Library and Information Science. The briefed results are as follows. 1. Due to rapid change of high Information technology and computer application it is the most important essential points, In order of Importance, in finding available network source, In indexing on-line data base, in analysing and design information system. and in computer application ability. 2. In contents of AI and ES, most Important training portion for Library and Information Science are : data base treating, thesaurus, natural language processing. and knowledge representation. 3. Library and information science professors recognize It necessary for bigger number of Library and Information Science students to be educated artificial intelligence and expert system. 4. During forthcoming age it shows more important reorganization that artificial intelligence and expert system improves information professional in reference service, cataloging, classification, information retrieval, and documentation delivery 5. According to library and information science professors more important reorganization on the subject of AI and ES, the curricular on AI and ES is, forthcoming, to be Introduced to curricular on library and information science in the nation, In order of importance, (see 1. above).

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A study on the factors of elementary school teachers' intentions to use AI math learning system: Focusing on the case of TocToc-Math (초등교사들의 인공지능 활용 수학수업 지원시스템 사용 의도에 영향을 미치는 요인 연구: <똑똑! 수학탐험대> 사례를 중심으로)

  • Kyeong-Hwa Lee;Sheunghyun Ye;Byungjoo Tak;Jong Hyeon Choi;Taekwon Son;Jihyun Ock
    • The Mathematical Education
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    • v.63 no.2
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    • pp.335-350
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    • 2024
  • This study explored the factors that influence elementary school teachers' intention to use an artificial intelligence (AI) math learning system and analyzed the interactions and relationships among these factors. Based on the technology acceptance model, perceived usefulness for math learning, perceived ease of use of AI, and attitude toward using AI were analyzed as the main variables. Data collected from a survey of 215 elementary school teachers was used to analyze the relationships between the variables using structural equation modeling. The results of the study showed that perceived usefulness for math learning and perceived ease of use of AI significantly influenced teachers' positive attitudes toward AI math learning systems, and positive attitudes significantly influenced their intention to use AI. These results suggest that it is important to positively change teachers' perceptions of the effectiveness of using AI technology in mathematics instruction and their attitudes toward AI technology in order to effectively adopt and utilize AI-based mathematics education tools in the future.

Analysis of Artificial Intelligence Curriculum of SW Universities (SW중심대학의 인공지능 교육과정 현황분석)

  • Woo, HoSung;Lee, HyunJeong;Kim, JaMee;Lee, WonGyu
    • The Journal of Korean Association of Computer Education
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    • v.23 no.2
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    • pp.13-20
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    • 2020
  • The interest in artificial intelligence is due to an increase in influence on companies, organizations, daily lives and society. The purpose of this study is to analyze the key elements in the teaching subjects of artificial intelligence-related subjects of Korean universities based on the intelligent system area of Computer Science 2013 in terms of human resources development. According to the analysis, there are five out of nine universities that run the required courses. Based on the 12 detailed knowledge domains of intelligent systems, the compulsory subjects of universities are distributed in the field of basic search theory, basic knowledge expression and reasoning, and inference based on uncertainty. The elective courses of each university covered topics in five to eight areas of the total knowledge area of the intelligent system, with 69.9 percent of universities with the highest average ratio of areas involving the subject of teaching subjects and 46.3 percent of universities with the lowest. This study has implications for the fact that prior to entering an artificial intelligence graduate school, we were able to grasp the level of knowledge about artificial intelligence at the undergraduate level.

Design of Python Block and Text Co-coding Platform for Artificial Intelligence Convergence in Vocational Education (인공지능 융합 직업 교육을 위한 파이썬 블록과 텍스트 공동 코딩 플랫폼 설계)

  • Lee, Se-Hoon;Kim, Yeon-Woo;Hong, Seung-Min
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2022.01a
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    • pp.231-232
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    • 2022
  • 본 논문에서는 직업 교육 분야에 인공지능 융합 교육을 위한 파이썬 블록과 텍스트 동시 코딩 플랫폼을 설계하였다. 플랫폼에 코딩 언어로는 데이터 분석과 머신러닝의 다양한 라이브러리를 지원하고 있는 파이썬으로 하며, 직업 교육의 영역 전문가가 쉽게 직무 기능 파이썬 블록 모듈을 만들어 추가하고 커스터마이징을 할 수 있는 아키텍처를 갖고 있다. 제안한 플랫폼을 활용한 인공지능 융합 직업 분야로 바이오와 기계공학 분야의 블록 모듈을 추가하고 실습 예제를 만드는 과정을 보여 플랫폼의 유용성과 효율성을 보였다.

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Development of AI Education Program for Prediction System Based on Linear Regression for Elementary School Students (선형회귀모델 기반의 초등학생용 인공지능 예측 시스템 교육 프로그램의 개발)

  • Lee, Soo Jeong;Moon, Gyo Sik
    • 한국정보교육학회:학술대회논문집
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    • 2021.08a
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    • pp.51-57
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    • 2021
  • Quite a few elementary school teachers began to utilize AI technology in order to provide students with customized, intelligent information services in recent years. However, learning principles of AI may be as important as utilizing AI in everyday life because understanding principles of AI can empower them to buildup adaptability to changes in highly technological world. In the paper, 'Linear Regression Algorithm' is selected for teaching AI-based prediction system to solve real world problems suitable for elementary students. A simulation program written in Scratch was developed so that students can find a solution of linear regression model using the program. The paper shows that students have learned analyzing data as well as comparing the accuracy of the prediction model. Also, they have shown the ability to solve real world problems by finding suitable prediction models.

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A Design of Dynamic Lesson Planner in Intelligent Tutoring System (지능형 교수시스템에서 동적 레슨 플랜생성기의 설계)

  • 이재인;이재무
    • Proceedings of the Korea Association of Information Systems Conference
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    • 1997.10a
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    • pp.39-52
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    • 1997
  • 본 연구는 언어 교육용 프로그램을 개발하는 저작도구9authoring tool)와 학생들이 자율적으로 학습할 수 있는 지능형 컴퓨터 교사시스템(ITS : Intelligent Tutoring System)으 로 구성된 지능형 학습환경(Intelligent Learning Environment)을 설계한다. 특히, 범용시스 템에서 제공되는 불필요한 기능들을 제거하고 언어교육에 필요한 기능만을 가진 간편한 저 작도구의 설계와, 인공지능 기법을 이요하여 학생 개개인의 지식수준에 따라 차별화하여 지 능적으로 교육할 수 있는 지능형 교사시스템의 구성 방법을 제안한다.

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Artificial Intelligence-Based High School Course and University Major Recommendation System for Course-Related Career Exploration (교과 연계 진로 탐색을 위한 인공지능 기반 고교 선택교과 및 대학 학과 추천 시스템)

  • Baek, Jinheon;Kim, Hayeon;Kwon, Kiwon
    • KIPS Transactions on Software and Data Engineering
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    • v.10 no.1
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    • pp.35-44
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    • 2021
  • Recent advances in the 4th Industrial Revolution have accelerated the change of the working environment, such that the paradigm of education has been shifted in accordance with career education including the free semester system and the high school credit system. While the purpose of those systems is students' self-motivated career exploration, educational limitations for teachers and students exist due to the rapid change of the information on education. Also, education technology research to tackle these limitations is relatively insufficient. To this end, this study first defines three requirements that education technologies for the career education system should consider. Then, through data-driven artificial intelligence technology, this study proposes a data system and an artificial intelligence recommendation model that incorporates the topics for career exploration, courses, and majors in one scheme. Finally, this study demonstrates that the set-based artificial intelligence model shows satisfactory performances on recommending career education contents such as courses and majors, and further confirms that the actual application of this system in the educational field is acceptable.