• Title/Summary/Keyword: AI Literacy

Search Result 83, Processing Time 0.024 seconds

The Study on Test Standard for Measuring AI Literacy

  • Mi-Young Ryu;Seon-Kwan Han
    • Journal of the Korea Society of Computer and Information
    • /
    • v.28 no.7
    • /
    • pp.39-46
    • /
    • 2023
  • The purpose of this study is to design and develop the test standard to measure AI literacy abilities. First, we selected key areas of AI literacy through the related studies and expert FGI and designed detailed standard. The area of the test standard is divided into three categories: AI concept, practice, and impact. In order to confirm the validity of the test standard, we conducted twice expert validity tests and then modified and supplemented the test index. To confirm the validity of the test standard, we conducted an expert validity test twice and then modified and supplemented the test standard. The final AI literacy test standard consisted of a total of 30 questions. The AI literacy test standard developed in this study can be an important tool for developing self-checklists or AI competency test questions for measuring AI literacy ability.

A Study on the Role of University Libraries in the Cultivation of Generative AI Literacy by Users (이용자의 생성형 AI 리터러시 함양을 위한 대학도서관의 역할 연구)

  • Su Hyun Jang;Young Joon Nam
    • Journal of the Korean Society for information Management
    • /
    • v.40 no.2
    • /
    • pp.263-282
    • /
    • 2023
  • The purpose of this study is to understand the current status of AI literacy education for users of Korean university libraries and the perception and justification of AI literacy education in university libraries in relation to AI literacy, which is emerging as a key capability in the changing intelligent information society. To this end, this study analyzed the change in the concept of AI literacy and the self-awareness of AI literacy, including generative AI by students who are university library users. As a result of the analysis, positive responses were mainly confirmed in the case of willingness to take AI literacy education and generative AI literacy education in university libraries, and this study suggests that AI literacy education in university essential curriculum is conducted in connection with essential basic education.

Verification of the Effectiveness of Artificial Intelligence Education for Cultivating AI Literacy skills in Business major students

  • SoHyun PARK
    • The Journal of Economics, Marketing and Management
    • /
    • v.11 no.6
    • /
    • pp.1-8
    • /
    • 2023
  • Purpose: In the era of the Fourth Industrial Revolution, individuals equipped with fundamental understanding and practical skills in artificial intelligence (AI) are essential. This study aimed to validate the effectiveness of AI education for enhancing AI literacy among business major student. Research design, data and methodology: Data for analyzing the effectiveness of the AI Fundamental Education Program for business major students were collected through surveys conducted at the beginning and end of the semester. Structural equation modeling was employed to perform basic statistical analyses regarding gender, grade, and prior software (SW) education duration. To validate the effectiveness of AI education, seven variables - AI interest, AI perception, data analysis/utilization, AI projects, AI literacy, AI self-efficacy, and AI learning persistence - were defined and derived. Results: All seven operationally defined variables showed statistically significant positive changes. The average differences were observed as follows: 0.47 for AI interest, 0.32 for AI perception, 0.37 for data analysis/utilization, 0.27 for AI projects, 0.25 for AI literacy, 0.39 for AI self-efficacy, and 0.41 for AI learning persistence. Statistically, AI interest exhibited the most substantial average difference. Conclusions: Through this study, the applied AI education was confirmed to enhance learners' overall competencies in AI, proving its utility and effectiveness in AI literacy education for business major students. Future research endeavors should build upon these results, focusing on ongoing studies related to AI education programs tailored to learners from diverse academic backgrounds and conducting continuous efficacy evaluations.

Development of self-expression activity class program for elementary school students to cultivate AI literacy

  • LEE, DoeYean;KIM, Yong
    • Fourth Industrial Review
    • /
    • v.2 no.1
    • /
    • pp.9-17
    • /
    • 2022
  • Purpose -In general, elementary school is the time to take the first social step away from family relationships with parents or siblings. Recently, AI technology has been widely used in everyday life and society. The purpose of this study is to propose a program that can cultivate AI literacy and self-expression for elementary school students according to the trend of the times. Research design, data, and methodology - In this study, prior to developing a self-expression class program for cultivating AI literacy, we looked at the related literature on what AI literacy is. In addition, the digital learning program was analyzed considering that the current AI literacy is based on the cutting edge of digital technology and is located in the same area as digital literacy. Result -This study developed a curriculum for self-expression and AI literacy cultivation. The main feature of this study is that the education program of this study allows 3rd, 4th, and 5th graders of elementary school to express themselves and to express their career problems by combining culture and art with AI programs. Conclusion -Self-expression activity education for cultivating AI literacy should be oriented toward holistic education and should be education as a way to express oneself in order to improve the quality of life of learners

Development and Validation of a Digital Literacy Scale in the Artificial Intelligence Era for College Students

  • Ha Sung Hwang;Liu Cun Zhu;Qin Cui
    • KSII Transactions on Internet and Information Systems (TIIS)
    • /
    • v.17 no.8
    • /
    • pp.2241-2258
    • /
    • 2023
  • This study developed digital literacy instruments and tested their effectiveness on college students' perceptions of AI technologies. In creating a new digital literacy test tool, we reviewed the concept and scale of digital literacy based on previous studies that identified the characteristics and measurement of AI literacy. We developed 23 preliminary questions for our research instrument and used a quantitative approach to survey 318 undergraduates. After conducting exploratory and confirmatory factor analysis, we found that digital literacy in the age of AI had four ability sub-factors: critical understanding, artificial intelligence social impact recognition, artificial intelligence technology utilization, and ethical behavior. Then we tested the sub-factors' predictive powers on the perception of AI's usefulness and ease of use. The regression result shows that the most common powerful predictor of the usefulness and ease of use of AI technology was the ability to use AI technology. This finding implies that for college students, the ability to use various tools based on AI technology is an essential competency in the AI era.

The Education Model of Liberal Arts to Improve the Artificial Intelligence Literacy Competency of Undergraduate Students (대학생의 AI 리터러시 역량 신장을 위한 교양 교육 모델)

  • Park, Youn-Soo;Yi, Yumi
    • Journal of The Korean Association of Information Education
    • /
    • v.25 no.2
    • /
    • pp.423-436
    • /
    • 2021
  • In the future, artificial intelligence (AI) technology is expected to become a general-purpose technology (GPT), and it is predicted that AI competency will become an essential competency. Several nations around the world are fostering experts in the field of AI to achieve technological proficiency while working to develop the necessary infrastructure and educational environment. In this study, we investigated the status of software education at the liberal arts level at 31 universities in Seoul, along with precedents from domestic and foreign AI education research. Based on this, we concluded that an AI literacy education model is needed to link software education at the liberal arts level with professional AI education. And we classified 20 AI-related lectures released in the KOCW according to the AI literacy competencies required; based on the results of this classification, we propose a model for AI literacy education in the liberal arts for undergraduate students. The proposed AI literacy education model may be considered as AI·SW convergence to experience AI along with literacy in the humanities, deviating from the existing theoretical and computer-science-based approach. We expect that our proposed AI literacy education model can contribute to the proliferation of AI.

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.

The Effect of AI Learning Program on AI Attitude and Literacy of Gifted Children in Elementary Schools (인공지능 교육 프로그램이 초등영재아동의 인공지능 태도와 소양 향상에 미치는 영향)

  • Yang, Changmo
    • Journal of The Korean Association of Information Education
    • /
    • v.26 no.1
    • /
    • pp.35-44
    • /
    • 2022
  • Previous studies showed that an improvement in attitude toward a subject affects academic achievement in the subject. The purpose of this study is to confirm that the AI education program causes changes in the AI attitude of gifted children in elementary school, and that the change in attitude leads to a change in literacy. In this study, we conducted an AI education program for gifted children, and analyze the effect of AI education program on the change in AI attitude AI literacy through pre- and post-test. The result of the analysis showed the statistically significant improvement of AI attitudes. In addition, through regression analysis it was found that the change in AI attitude has a statistically significant direct effect on the change in AI literacy. This study has a limitation in that self-evaluation was used to measure AI attitudes and literacy and conducted to a relatively small number of samples. Even though, it was also confirmed that the activities of making an AI programs experienced in real-life can cause changes in AI attitudes and literacy.

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.

Digital Content to Improve Artificial Intelligence Literacy Ability

  • Han, Sun Gwan
    • Journal of the Korea Society of Computer and Information
    • /
    • v.25 no.12
    • /
    • pp.93-100
    • /
    • 2020
  • This study aims to design and develop effective digital contents to improve the ability for artificial intelligence literacy. First, we defined AI literacy and analyzed the competencies required for artificial intelligence literacy. After selecting the educational elements for AI ability, we composed 10 educational programs. To confirm the appropriateness of designed contents, we verified through content validity test by 10 experts. The CVI value was over 0.75, which was highly valid. The developed content was installed on the online system and applied to 55 AI beginners for 4 weeks. The learners showed a positive result of at least 3.85 in the items of content difficulty, understanding, effectiveness, and learning challenge. As a result of this analysis, we can see that the developed content is positive for helping many people understand AI and improving AI literacy.