• Title/Summary/Keyword: AI, Education

Search Result 826, Processing Time 0.03 seconds

Basic Study on the Establishment of AI Convergence Education Room (인공지능융합교육실 구축에 관한 기초연구)

  • Kim, Jeong-Rang
    • 한국정보교육학회:학술대회논문집
    • /
    • 2021.08a
    • /
    • pp.321-326
    • /
    • 2021
  • In this paper, the information education plan of the Ministry of Education and offices of education was analyzed in relation to the construction of the AI convergence education room. And based on this, an appropriate construction direction was suggested. For research, AI convergence education room construction plan, budget amount per school and etc were analyzed in the information education plan of the Ministry of Education, KERIS, KOFAC, and the plan of leading schools for AI education. Although the Ministry of Education is making various efforts to promote SW education and artificial intelligence convergence education, it is found that the number is far insufficient compared to the number of elementary, middle and high schools. Efforts to expand the information education room at the government level are continuously required, and in order to utilize the developed artificial intelligence convergence education room, it is necessary to provide abundant teaching and learning examples for the construction space model. In addition, school-level planning and execution must be followed so that the constructed space can be used appropriately, and management and maintenance plans for equipment are required.

  • PDF

Development of Steps AI Digital Competency Framework for Teachers (교원을 위한 단계별 AI디지털 역량 프레임워크 개발)

  • Soo-Bum Shin
    • Journal of Practical Engineering Education
    • /
    • v.15 no.3
    • /
    • pp.597-603
    • /
    • 2023
  • This study evaluates the AI digital competencies of teachers and presents a step-by-step framework for teacher's AI digital competencies that can be utilized in training. To do this, AI digital competencies were analyzed from the perspective of utilization and disposition, linked with the Technological Pedagogical Content Knowledge (TPACK) perspective. Then, as a precedent for step-by-step teacher AI digital competencies, the 3-step competency of the British Education and Training Foundation and the UNESCO ICT Teacher Competency Framework were presented. In this study, teacher's AI digital competencies were divided into three stages: entry, adaptation, and leadership, considering precedent research and domestic conditions. The initial entry stage passed the validity test in the second round of the Delphi survey, and the other two stages passed in the first round. The final entry stage is described as a stage where teachers understand AI digital but have difficulty implementing it, the adaptation stage is a level applied to standard curricula, and the leadership stage is a level where AI digital is applied in advanced courses and teachers serve as models for others. Through the overall AI digital competencies presented in this study, detailed competency development is possible, and it can be used as a reference material for developing evaluation items.

A Modular Based Approach on the Development of AI Math Curriculum Model (인공지능 수학교육과정의 모듈화 접근방법 연구)

  • Baik, Ran
    • Journal of Engineering Education Research
    • /
    • v.24 no.3
    • /
    • pp.50-57
    • /
    • 2021
  • Although the mathematics education process in AI education is a very important issue, little cases are reported in developing effective methods on AI and mathematics education at the university level. The universities cover all fields of mathematics in their curriculums, but they lack in connecting and applying the math knowledge to AI in an efficient manner. Students are hardly interested in taking many math courses and it gets worse for the students in humanities, social sciences and arts. But university education is very slow in adapting to rapidly changing new technologies in the real world. AI is a technology that is changing the paradigm of the century, so every one should be familiar with this technology but it requires fundamental math knowledge. It is not fair for the students to study all math subjects and ride on the AI train. We recognize that three key elements, SW knowledge, mathematical knowledge, and domain knowledge, are required in applying AI technology to the real world problems. This study proposes a modular approach of studying mathematics knowledge while connecting the math to different domain problems using AI techniques. We also show a modular curriculum that is developed for using math for AI-driven autonomous driving.

Development and Effectiveness of an AI Thinking-based Education Program for Enhancing AI Literacy (인공지능 리터러시 신장을 위한 인공지능 사고 기반 교육 프로그램 개발 및 효과)

  • Lee, Jooyoung;Won, Yongho;Shin, Yoonhee
    • Journal of Engineering Education Research
    • /
    • v.26 no.3
    • /
    • pp.12-19
    • /
    • 2023
  • The purpose of this study is to develop the Artificial Intelligence thinking-based education program for improving AI literacy and verify its effectiveness for beginner. This program consists of 17 sessions, was designed according to the "ABCDE" model and is a project-based program. This program was conducted on 51 first-year middle school students and 36 respondents excluding missing values were analyzed in R language. The effect of this program on ethics, understanding, social competency, execution plan, data literacy, and problem solving of AI literacy is statistically significant and has very large practical significance. According to the result of this study, this program provided learners experiencing Artificial Intelligence education for the first time with Artificial Intelligence concepts and principles, collection and analysis of information, and problem-solving processes through application in real life, and served as an opportunity to enhance AI literacy. In addition, education program to enhance AI literacy should be designed based on AI thinking.

Development of a Home Economics Education Program for the Consumer Life Area to Enhance Artificial Intelligence Literacy in Middle School Students (중학생의 인공지능 리터러시 함양을 위한 가정과 소비생활 영역 교육 프로그램 개발)

  • You Jin Jung;Kyung Won Lee
    • Human Ecology Research
    • /
    • v.62 no.3
    • /
    • pp.517-530
    • /
    • 2024
  • This study aims to develop and validate a home economics education program focused on the consumer life area to enhance artificial intelligence (AI) literacy. To achieve this objective, a 10-session AI-consumer life integration education program was developed by analyzing literature on AI Literacy, AI curriculum, consumer education, and the home economics curriculum for the middle school consumer life area. The program's validity was assessed by nine teachers using a four-point Likert scale. The average scores for each item and the content validity index (CVI) were calculated. Based on expert feedback, the program was revised and improved accordingly. The expert validity assessment of the lesson plans, teaching materials and learning resources resulted in an average score of 3.78 for all items and an average CVI of 0.96. For the overall program, the expert validity assessment yielded an average score of 3.72 for all items and an average CVI of 0.97. Since the content validity index for all questions was above 0.78, the program demonstrated high validity across achievement standards integration, learning objectives, content and teaching methods, motivation, and volume areas. This confirms its effectiveness as an educational program for enhancing AI literacy. This study is significant in terms of defining and identifying the components of AI literacy, developing an AI-integrated program encompassing the entire consumer life area and confirming the suitability of the home economics curriculum for enhancing digital consumer competencies and promoting sustainable consumption. Additionally, it highlights the potential to integrate AI into the home economics and consumer life area.

Development of AI Data Science Education Program to Foster Data Literacy of Elementary School Students (초등학생의 데이터 리터러시 함양을 위한 AI 데이터 과학 교육 프로그램 개발)

  • Hong, Ji-Yeon;Kim, Yungsik
    • Journal of The Korean Association of Information Education
    • /
    • v.24 no.6
    • /
    • pp.633-641
    • /
    • 2020
  • The development of intelligent information technology based on intelligence and data and network technology implemented by artificial intelligence has instigated innovation in society as a whole and has shown wide social and economic impact. Therefore, not only overseas but also in Korea, AI education is in a hurry to cultivate talents who will lead the upcoming society. Data is an important part of artificial intelligence, and data literacy, which can collect, process, and analyze data, to make data-based decisions, can be seen as an important competency to be developed along with AI literacy. Therefore, in this study, an AI data science education program that can increase data literacy of elementary school students was developed and applied to the experimental group, and its effectiveness was verified through a pre- and post response sample t-test. As a result, all of the four detailed competencies of data literacy, data understanding, collection, analysis, and expression, showed statistically significant improvement, indicating that the AI data science education program was effective in improving students' data literacy.

Development and Application of Artificial Intelligence Education Program for Secondary School Students using Self-Driving Cars (자율주행 자동차를 이용한 중등 학생 대상 인공지능 교육 프로그램 개발 및 적용)

  • Ryu, Hyein;Lee, Jeonghun;Cho, Jungwon
    • Journal of Digital Convergence
    • /
    • v.19 no.7
    • /
    • pp.227-236
    • /
    • 2021
  • This study aims to develop an AI education program for secondary school students to help understand AI and to provide an experience of solving real-life problems by using AI, and to analyze the effectiveness of education. The education program based on the AI education system for K-12 developed in the previous study was composed of a total of 12 lessons by selecting the self-driving cars, which is emerging as a recent issue among real life problems, as the main topic. Classes were conducted for secondary school students who had experience in software education, and the effectiveness of education and class satisfaction were analyzed. As a result of the analysis, it was confirmed that the understanding of AI and the sense of AI efficacy were improved, and the class satisfaction was high in all items such as educational content, fun in class, difficulty of class, and interest in AI. Based on these results, implications for AI education for secondary students were proposed.

Development and Application of Education Program on Understanding Artificial Intelligence and Social Impact (인공지능의 이해와 사회적 영향력에 관한 교육 프로그램 개발 및 적용)

  • Kim, Han Sung;Jun, Soojin;Choi, SeongYune;Kim, Sungae
    • The Journal of Korean Association of Computer Education
    • /
    • v.23 no.2
    • /
    • pp.21-29
    • /
    • 2020
  • The purpose of this study is to develop the educational programs for cultivating balanced view of technical understanding and social impact on Artificial Intelligence (AI). To this end, an educational program based on a constructivist approach was developed. Through an experimental class for middle school students we analyzed the concept and perception of AI and the satisfaction of the class. The main results are as follows. First, students' understanding of the concept and the cases of AI in their daily lives has improved. Second, the recognition of the impact of AI on society has emerged and concern about social impact have been lowered. Third, in terms of program satisfaction, all the factors such as understanding of AI, interest in class, interest in AI were high. With these results, we discussed the implications for AI education in elementary and secondary school.

Development of the Contents of AI Convergence Education Method Subjects and Verification of Teaching Efficacy Effectiveness for Elementary and Secondary Teachers

  • Kim, Jeong-Rang
    • Journal of the Korea Society of Computer and Information
    • /
    • v.27 no.3
    • /
    • pp.217-223
    • /
    • 2022
  • In this paper, the needs and environment of the 'AI Convergence Education Method' were analyzed for elementary and secondary teachers, and based on this, teaching efficacy of informatics education was verified. For the research, elementary and secondary teachers who take the subject were selected, and based on the results of analyzing the general characteristics, pre-knowledge level, and needs of the subject, curriculum for 15 weeks was developed. As a result of verifying the teaching efficacy effectiveness of the developed 'AI Convergence Education Method' subject for 15 weeks, the effectiveness of the information education teaching efficacy was verified. Among the factors, there were statistically significant differences in information teaching values and information teaching strategies. In the future, it is necessary to conduct follow-up research to secure teachers' professionalism, such as linking with schools and convergence with other subjects. Various teaching and learning materials and teaching and learning methods such as educational contents and materials, reference literature, and artificial intelligence education platforms need to be prepared.

A Study on Theological Students' Perception of Artificial Intelligence and the Christian Educational Implications (인공지능에 대한 신학생들의 인식 연구와 기독교교육학적 의의)

  • Im, Jun-Sub;Ham, Young-Ju
    • Journal of Christian Education in Korea
    • /
    • v.61
    • /
    • pp.233-262
    • /
    • 2020
  • Rapidly developing modern science &technology have a profound impact on Christians and pastoral work. Recently, the 4th Industrial Revolution has induced lots of discussions in the field of church and theology, and artificial intelligence (AI) has become an important issue in many ways. Nevertheless, there is a lack of empirical research on how the AI would affect church and pastoral work. This study examined and analyzed the theological students' perception of AI. A survey was conducted on the perception of seven sub-areas of 220 male and female theological students at major seminaries in Korea. The seven subareas were including the degree of interest in AI, social influence, AI's alternative influence, and AI's church influence. The results showed that theological students generally agree with the academic relevance of AI or the need for education on AI. However, it presented alow perception of the impact of AI on the church. Such recognition may reflect the following belief. Students are aware that the AI is a necessary and important part of social and general education, but at the same time, they think the AI may not significantly threaten the church. Therefore, wes uggest that considering a response of Christian education to raise the perception of theological students of AI, courses related to science and technology should be organized in the curriculum of seminaries at various levels from the perspective of the Christian worldview.