• Title/Summary/Keyword: Intelligence Information Competency

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Development and Application of an Algorithm Education Program to Improve Convergent Thinking Skills (융합적 사고력 향상을 위한 알고리즘 교육 프로그램 개발 및 적용)

  • Haeyoung Park;Woochun Jun
    • Journal of The Korean Association of Information Education
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    • v.26 no.5
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    • pp.295-305
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    • 2022
  • In the modern artificial intelligence society, the goal of education is to cultivate convergent talents who can adapt well to and lead the artificial intelligence society. The core competency required of convergent future talents is to be able to understand and create software well. In this respect, algorithmic education is very important. Therefore, in this study, an algorithm education program was developed to improve convergent thinking ability. The effectiveness was verified through the paired samples t-test by conducting a pre-post test of convergent thinking ability, and it was found that students' convergent thinking ability was significantly improved in the areas of algorithm knowledge and function.

Learning Model Development of utilizing a Tutor to study cyber-terrorism (사이버테러에 대비한 국가정보보안 현장 튜터를 활용한 교수-학습 모형 개발)

  • Yun, Dong Sic
    • Convergence Security Journal
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    • v.15 no.6_1
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    • pp.49-57
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    • 2015
  • Changes in the national intelligence security industry is becoming increasingly rapidly changing due to the development of the network and the use of the Internet. Information also can be called by critical information assets, as well as social infrastructure of the country's reality is that individuals at risk. These professionals make to prevent terrorists to destroy national defense system and network was absolutely necessary. But, Cyber Terror Response NCOs to be responsible for cyber terrorism requires a professional NCOs with advanced knowledge. National Competency Standards(NCS) using a national information security field tutors to conduct training courses teaching - learning model to develop and to apply.

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
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    • v.25 no.2
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    • pp.423-436
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    • 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.

The Study on Test Standard for Measuring AI Literacy

  • Mi-Young Ryu;Seon-Kwan Han
    • Journal of the Korea Society of Computer and Information
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    • v.28 no.7
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    • pp.39-46
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    • 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.

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
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    • v.26 no.3
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    • pp.12-19
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    • 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 Artificial Intelligence Education Contents based on TensorFlow for Reinforcement of SW Convergence Gifted Teacher Competency (SW융합영재 담당교원 역량 강화를 위한 텐서플로우 기반 인공지능 교육 콘텐츠 개발)

  • Jang, Eunsill;Kim, Jaehyoun
    • Journal of Internet Computing and Services
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    • v.20 no.6
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    • pp.167-177
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    • 2019
  • The enhancement of national competitiveness in future society is the discovery and training of excellent SW convergence gifted. In order to cultivate these SW convergence gifted, reinforcing competence of teachers in charge should be made first. Therefore, in this paper, artificial intelligence education contents, one of the core technologies of the 4th Industrial Revolution era, were developed to reinforcing competence of SW convergence gifted teachers. After setting the direction of artificial intelligence education content, we constructed educational content suitable for secondary SW convergence gifted education, and designed and developed it in detail. The composition of artificial intelligence education content consists of machine learning and tensor flow understanding, linear regression machine learning implementation for numerical prediction, and multiple linear regression-based price prediction machine learning implementations. The developed educational contents were verified by experts with qualitative aspects. In the future, we expect that the educational content of artificial intelligence proposed in this paper will be useful for strengthening the ability of SW convergence gifted teachers.

Relationships Among Employees' IT Personnel Competency, Personal Work Satisfaction, and Personal Work Performance: A Goal Orientation Perspective (조직구성원의 정보기술 인적역량과 개인 업무만족 및 업무성과 간의 관계: 목표지향성 관점)

  • Heo, Myung-Sook;Cheon, Myun-Joong
    • Asia pacific journal of information systems
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    • v.21 no.4
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    • pp.63-104
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    • 2011
  • The study examines the relationships among employee's goal orientation, IT personnel competency, personal effectiveness. The goal orientation includes learning goal orientation, performance approach goal orientation, and performance avoid goal orientation. Personal effectiveness consists of personal work satisfaction and personal work performance. In general, IT personnel competency refers to IT expert's skills, expertise, and knowledge required to perform IT activities in organizations. However, due to the advent of the internet and the generalization of IT, IT personnel competency turns out to be an important competency of technological experts as well as employees in organizations. While the competency of IT itself is important, the appropriate harmony between IT personnel's business capability and technological capability enhances the value of human resources and thus provides organizations with sustainable competitive advantages. The rapid pace of organization change places increased pressure on employees to continually update their skills and adapt their behavior to new organizational realities. This challenge raises a number of important questions concerning organizational behavior? Why do some employees display remarkable flexibility in their behavioral responses to changes in the organization, whereas others firmly resist change or experience great stress when faced with the need to alter behavior? Why do some employees continually strive to improve themselves over their life span, whereas others are content to forge through life using the same basic knowledge and skills? Why do some employees throw themselves enthusiastically into challenging tasks, whereas others avoid challenging tasks? The goal orientation proposed by organizational psychology provides at least a partial answer to these questions. Goal orientations refer to stable personally characteristics fostered by "self-theories" about the nature and development of attributes (such as intelligence, personality, abilities, and skills) people have. Self-theories are one's beliefs and goal orientations are achievement motivation revealed in seeking goals in accordance with one's beliefs. The goal orientations include learning goal orientation, performance approach goal orientation, and performance avoid goal orientation. Specifically, a learning goal orientation refers to a preference to develop the self by acquiring new skills, mastering new situations, and improving one's competence. A performance approach goal orientation refers to a preference to demonstrate and validate the adequacy of one's competence by seeking favorable judgments and avoiding negative judgments. A performance avoid goal orientation refers to a preference to avoid the disproving of one's competence and to avoid negative judgements about it, while focusing on performance. And the study also examines the moderating role of work career of employees to investigate the difference in the relationship between IT personnel competency and personal effectiveness. The study analyzes the collected data using PASW 18.0 and and PLS(Partial Least Square). The study also uses PLS bootstrapping algorithm (sample size: 500) to test research hypotheses. The result shows that the influences of both a learning goal orientation (${\beta}$ = 0.301, t = 3.822, P < 0.000) and a performance approach goal orientation (${\beta}$ = 0.224, t = 2.710, P < 0.01) on IT personnel competency are positively significant, while the influence of a performance avoid goal orientation(${\beta}$ = -0.142, t = 2.398, p < 0.05) on IT personnel competency is negatively significant. The result indicates that employees differ in their psychological and behavioral responses according to the goal orientation of employees. The result also shows that the impact of a IT personnel competency on both personal work satisfaction(${\beta}$ = 0.395, t = 4.897, P < 0.000) and personal work performance(${\beta}$ = 0.575, t = 12.800, P < 0.000) is positively significant. And the impact of personal work satisfaction(${\beta}$ = 0.148, t = 2.432, p < 0.05) on personal work performance is positively significant. Finally, the impacts of control variables (gender, age, type of industry, position, work career) on the relationships between IT personnel competency and personal effectiveness(personal work satisfaction work performance) are partly significant. In addition, the study uses PLS algorithm to find out a GoF(global criterion of goodness of fit) of the exploratory research model which includes a mediating variable, IT personnel competency. The result of analysis shows that the value of GoF is 0.45 above GoFlarge(0.36). Therefore, the research model turns out be good. In addition, the study performs a Sobel Test to find out the statistical significance of the mediating variable, IT personnel competency, which is already turned out to have the mediating effect in the research model using PLS. The result of a Sobel Test shows that the values of Z are all significant statistically (above 1.96 and below -1.96) and indicates that IT personnel competency plays a mediating role in the research model. At the present day, most employees are universally afraid of organizational changes and resistant to them in organizations in which the acceptance and learning of a new information technology or information system is particularly required. The problem is due' to increasing a feeling of uneasiness and uncertainty in improving past practices in accordance with new organizational changes. It is not always possible for employees with positive attitudes to perform their works suitable to organizational goals. Therefore, organizations need to identify what kinds of goal-oriented minds employees have, motivate them to do self-directed learning, and provide them with organizational environment to enhance positive aspects in their works. Thus, the study provides researchers and practitioners with a matter of primary interest in goal orientation and IT personnel competency, of which they have been unaware until very recently. Some academic and practical implications and limitations arisen in the course of the research, and suggestions for future research directions are also discussed.

A Study on Comparing the Computer Science Education Hours between Public and Private Elementary Schools (공립초등학교와 사립초등학교의 정보교육 시수 비교 연구)

  • Choi, Moonseok;Shin, Seungki
    • 한국정보교육학회:학술대회논문집
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    • 2021.08a
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    • pp.107-112
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    • 2021
  • This study tried to analyze the hours for computer science education in private elementary schools located in Seoul, in order to find out how many lesson hours are required. According to online discussion participation in the 2022 revised curriculum survey results, it was found that students and parents wanted computer science education to be strengthened. Information education in public elementary schools consists of a separate unit in the practical subject based on the 2015 revised curriculum and is to be implemented for more than 17 hours. As a result of surveying the average hours of computer science education based on school reminder of 28 private elementary schools in Seoul, it was found that about 152 hours of information education were being operated for 6 years. This is about 9 times the gap in education hours compared to public elementary schools. Artificial intelligence is emerging as important, so the lesson hours of information education must be secured to strengthen students' future competency in morden society. Therefore, informatics curriculum should be independent as a subject and secure the number of hours in the elementary school level.

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Factors Affecting the Life Satisfaction of Middle and Old People in the Knowledge Information Society: Focusing on the Awareness and Attitude of Future Knowledge and Information Technology (지능정보사회에서 중고령자의 삶의 만족도 영향요인: 미래 지능정보기술의 인지와 태도를 중심으로)

  • Choi, A-Reum
    • Journal of Digital Convergence
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    • v.18 no.12
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    • pp.11-19
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    • 2020
  • This study aims to examine the factors influencing the satisfaction of life, digital information competency, digital information utilization, awareness of future knowledge and information technology, the need for knowledge and information technology, confidence in new technology, and attitude to middle and old people classified as vulnerable to digital information. For the research, raw data of the digital divide survey were used in 2019. Studies have shown that digital information utilization varies depending on the level of awareness of the future intelligence information society. Group with high awareness of the future intelligence information society showed high ability to use information in various fields. The more people recognize the need for future intelligent information technology as a factor that affects the satisfaction of life among middle and high-aged people, and the more confident and active their confidence and attitude toward new technology, the higher their satisfaction with life. It is believed that a policy focusing on digital information capabilities and utilization will be needed to actively respond to changes in the environment of middle and old people from the perspective of digital inclusion.

A study on AI Education in Graduate School through IPA (대학원 인공지능교육의 방향 탐색: IPA를 활용하여)

  • Yoo, Jungah
    • Journal of The Korean Association of Information Education
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    • v.23 no.6
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    • pp.675-687
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    • 2019
  • As interest in artificial intelligence increases, each university has been establishing a special graduate school with artificial intelligence major, and recently, the Korea government has established various support policies for artificial intelligence education. However, each university has a lot of difficulties because it has little experience in operating graduate education with the latest field of artificial intelligence and it is not easy to find experts. In this study, the response of graduate school students majoring in artificial intelligence was analyzed using IPA technique, and the direction of education of graduate school artificial intelligence major was searched. Among the 40 items surveyed by IPA, 12 items such as systematization of artificial intelligence curriculum, progress of class considering learning level, improvement of academic relations with guidance professors were extracted as items to be improved first. On the other hand, 8 items such as assistant capacity, and relationship with colleagues were overloaded, and twelve items such as instructor's lecture competency, appropriateness of educational contents, learner's artificial intelligence skills and knowledge, and attitude acquisition were to be maintained. In addition, eight items such as convergence education curriculum and diversity of education methods were all low in importance and performance. It is suggested that AI graduate school should be divided into two tracks(technical specialization, convergence expansion) by educational goal, and each track should be conducted by level-specific educational contents and methods suitable for student level. The curriculum should be elaborate and systematic to acquire AI knowledge, skills, and attitudes, and should have an individualized guidance system centered on excellent faculty members.