• The Journal of the Institute of Internet, Broadcasting and Communication
• /
• v.16 no.4
• /
• pp.1-6
• /
• 2016

A.I. has being developed from the technology for Big data analysis to the technology like a human being. The sensing technology of IOT will make A.I. have the more delicate sense than human's five senses. The computer resource is going to be able to support A.I. by clouding networking technology wherever and whenever. Like this A.I. is getting developed as a golden boy of the latest technologies At the same time, many experts have the anxiety and bleak outlook about A.I. Most of dystopian images of the future come out when the contemplative view is lost or it is not possible to view the phenomena objectively. Or it is because of the absence of confidence and ability to convert from the visions of technology development to the subject visions of human will. This study is not about the mass dismissal, unemployment or the end of mankind by machinery according to the development of A.I. technology and service, but more about the occurrent issue like the personal information invasion in daily life. Also the ethical and institutional models are considered to develop A.I. industry protecting the personal information.

• Journal of The Korean Association of Information Education
• /
• v.21 no.1
• /
• pp.139-149
• /
• 2017

Artificial intelligence education is very important in the 21st century knowledge information society. Even if it is very important to understand artificial intelligence and practice computer programming in computer education in the fourth industrial revolution, but there is no teaching and learning model to understand artificial intelligence and computer programming education. In this paper, the proposed model consists of problem understanding step, data organizing step, artificial intelligence model setting step, programming step, and report writing step. At the program step, students can choose to copy, transform, create, and challenge steps to their level. In this study, the validity of the model was proved by the Delphi evaluation of elementary school teachers. The results of this study provide a good opportunity for elementary school students to practice artificial intelligence programs.

• Journal of the Korea Convergence Society
• /
• v.7 no.4
• /
• pp.123-131
• /
• 2016

In this paper, we discussed learner's capability enhancement education suitable for the age of artificial intelligence (AI) using game analysis and archival research based on the 2016 Google Deepmind Challenge match between AI that possessed the finest deep neural networks and the master Baduk player that represented the best of the human minds. AlphaGo was a brilliant move that transcended the conventional wisdom of Baduk and introduced a new paradigm of Baduk. Lee Sedol defeated AlphaGo via the 'divine move and Great idea' that even AlphaGo could not have calculated. This was the triumph of human intuition and insights, which are deeply embedded in human nature as well as human courage and strength. Convergence science education that cultivates student abilities that can help them control machines in the age of AI must be in the direction of developing diverse human insights and positive spirits embedded in human nature not possessed by AI via implementing hearts-on experience and topophilia education obtained from the nature.

• The Journal of Korean Association of Computer Education
• /
• v.23 no.3
• /
• pp.17-30
• /
• 2020

Although the importance of Artificial Intelligence(AI) education is increasing, research on the development of test tools has not been conducted in AI education research in Korea has not been conducted. Accordingly, there is a limit to designing AI curriculum and analyzing the effect of the educational program. So, in this study, Test tool was developed that to measure the attitude toward artificial intelligence of middle school students. For the development of test tools, the objectives, components, factors, and test tools were developed through the discussion of AI education experts. The test tool was finally developed by item analysis, exploratory factor analysis and confirmatory factor analysis. Finally, the criteria of the developed test tool were analyzed. Future research is needed to analyze the effects of educational programs and to analyze factors affecting attitudes toward artificial intelligence in middle school students using developed test tools.

• Proceedings of the Plant Resources Society of Korea Conference
• /
• 2018.10a
• /
• pp.79-79
• /
• 2018

용과(Hylocereus undatus)는 멕시코 및 과태말라가 원산지이며 아열대 및 열대지역에서 재배되고 있으며 아시아는 베트남 타이완 중국 일본 등 국가에서 재배하고 있다. 가지에 열매가 있는 모습이 용이 여의주를 물고 있는 형과 닮았다하여 붙여진 이름이다. 지구온난화로 인한 기온상승으로 전남지역 재배에 적합한 대체 열대 및 아열대과수 개발이 필요하다. 용과는 열대과수 중 비교적 낮은 온도($10^{\circ}C$이상) 조건에서 재배 가능하여 남부지역에서 시설내 가온재배하고 있다. 국내 시설재배 중 문제점은 용과는 밤에 꽃을 피기 때문에 밤에 활동하는 매개곤충이 없어서 인공수분으로 수분문제를 해결해야한다. 인공수분의 한계시간과 수분할 경우 과실비대에 미치는 영향을 알아보고자 인공수분 시간을 개화 1시간 이내, 4~5시, 11~12시 및 무 처리(방임)로 처리하였다. 개화시기는 1차 7월 13일, 2차 8월 8일, 3차 8월 26일로 3회에 걸쳐 개화가 이루어졌으며 이시기의 화분량는 4~5시가 0.68g, 11~12시 0.47g로 1시간 이내 0.16g보다 많았고 과실비대에서 1과중은 개화11~12시가 421g, 4~5시 400g, 1시간 이내가 377g으로 처리 간에 차이는 없었지만 무처리는 185g으로 처리구와 192~236g의 유의차가 있었다. 용과의 인공수분한계시간은 다음날 아침 7시(개화 11~12시)까지 인공수분 할 경우 정상적인 착과가 이루어졌으며 과실비대를 위해서 인공수분은 필수적으로 실시해야 한다.

• Journal of the Korea Convergence Society
• /
• v.11 no.11
• /
• pp.63-74
• /
• 2020

AI products are used 'AI assistants' as embedded in smart phones, speakers, appliances as agents. Studies on anthropomorphism, such as personality, voice with a weak AI are being conducted. Role and function of AI agents will expand from development of AI technology. Various attributes related to the agent, such as user type, usage environment, appearance of the agent will need to be considered. This study intends to categorize interaction factors related to agents from the user's perspective through analysis of concept videos which agents with strong AI. Framework for analysis was built on the basis of theoretical considerations for agents. Concept videos were collected from YouTube. They are analyzed according to perspectives on environment, user, agent. It was categorized into 8 attributes: viewpoint, space, shape, agent behavior, interlocking device, agent interface, usage status, and user interface. It can be used as reference when developing, predicting agents to be commercialized in the future.

• Journal of the Korea Convergence Society
• /
• v.11 no.7
• /
• pp.239-249
• /
• 2020

The purpose of this study was to verify whether the endorser effect similar to humans can be created in advertising campaigns based on the artificial intelligence endorser. In particular, considering the characteristics of artificial intelligence, a research model was presented by convergence of consumer innovativeness and anthropomorphism. The results of the online survey of 244 respondents showed that expertise of the artificial intelligence endorser has a positive effect on both brand attitude and purchase intention, but not for trustworthiness while it has a positive effect on brand attitude. Also, the effect of consumer innovativeness and anthropomorphism on brand attitude and purchase intention for artificial intelligence was found. The endorser effect was expanded to artificial intelligence, which is an intangible object, and the existing theory and research results were combined to re-verify it. Theoretical and practical implications for artificial intelligence-based products and services were presented.

• Journal of Internet Computing and Services
• /
• v.20 no.6
• /
• pp.167-177
• /
• 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.

• Journal of The Korean Association of Information Education
• /
• v.23 no.6
• /
• pp.639-653
• /
• 2019

The purpose of this study is to design an instructional framework and cognitive learning environment for AI education based on computational thinking in order to ground the theoretical rationale for AI education. Based on the literature review, the learning model is proposed to select the algorithms and problem-solving models through the abstraction process at the stage of data collection and discovery. Meanwhile, the instructional model of AI education through computational thinking is suggested to enhance the problem-solving ability using the AI by performing the processes of problem-solving and prediction based on the stages of automating and evaluating the selected algorithms. By analyzing the research related to the cognitive learning environment for AI education, the instructional framework was composed mainly of abstraction which is the core thinking process of computational thinking through the transition from the stage of the agency to modeling. The instructional framework of AI education and the process of constructing the cognitive learning environment presented in this study are characterized in that they are based on computational thinking, and those are expected to be the basis of further research for the instructional design of AI education.

• Journal of the Korea Convergence Society
• /
• v.12 no.10
• /
• pp.203-210
• /
• 2021

This study was conducted to develop a convergence education program using smart farms with both input data(temperature, humidity, etc.) and output data(vegetables, fruits, etc.) that are easily accessible in everyday life so that elementary school students can intuitively and easily understand the principles of artificial intelligence(AI) learning. In order to develop this program, we conducted a prior study analysis of a horticulture, software, robot units in the 2015 Practical Arts curriculum and artificial intelligence education. Based on this, 13 components and 16 achievement criteria were selected, and AI programs of 4 sessions(a total of 8 hours). This program can be used as a reference when developing various teaching materials for artificial intelligence education in the future.