AI-Based Migrant Crisis Management
Vol.5 (No.1) 2020
Northeast Asian Countries of Korea, China, Japan has not experienced massive migrant crisis before and also not been noticed from migrant issue debating. But the informatization and globalization slowly but gradually drives Northeastern Countries into migrant issues. These countries are coping with various types of migrants, e.g. North Korean Defectors and marriage immigrants. And Korea experienced Syria-Yemen migrant crisis at 2018 which is detonated from European refugee crisis, and that induces forecasting of various forms of migrant issues would be unfold at onshore Northeastern Asian Countries. The characteristics of these kinds of migrant crisis are its large size and unpredictable time line. Current AI cognitive computing technology could be applied to analyze the nature of migrant crisis and to support effective policy making that corresponds migrant crisis.
Keyword:Migrant Crisis, Northeastern Countries, Artificial Intelligence(AI), Cognitive Computing, Migrant Policy
After the plague based on the Corona virus began in Wuhan, China in late 2019, it has been on a global pan-demic. Usually, disease occurs spontaneously in order to minimize entropy in natural order. However, Coronavirus Disease 2019(COVID-19) is said to have been artificially made in a laboratory in China to prepare for future dis-eases. Responsibility theory is raised by this speculation. In particular, sever influenza fluctuates at similar times in the United States, continuing a mutually responsible battle. In the process of overcoming the disease, criticism of the role and status of World Health Organization(WHO) and monopoly of information in a specific country also appeared. Japan suffers from the problems of hosting the 2020 Summer Olympics. In addition, COVID-19 has various issues. In order to overcome this plague, which has become a problem around the world, high citizenship, medical mission, and politician leadership are needed. In Korea, various cutting-edge big data are being used to identify the definitive. These techniques should not be limited to just finding infected people. Variety of politics, economy, society, culture and education affected by plague. Therefore it is necessary to apply Artificial Intelli-gence(AI) technology.Keyword:Coronavirus Disease 2019(COVID-19), Global Pandemic, Entropy, World Health Organization(WHO), Artificial Intelligence(AI)
Charac-ter Education is, more importantly, requested as the times develop. Students' intellectual abilities are also critical, but the character skills they need to have as a person are also necessary. For teachers who will teach students in school, character education is not just a matter of interest. Teachers must have the capacity to improve students' personality abilities. This study analyzes the level of interest in character education for pre-service teachers in Korea and tries to give some implications to AI Ethics.Keyword:Character Education, Concern-Based Adoption Model(CBAM), Teacher Education, Pre-service Teacher, AI Ethics
Northeast Asian Countries of Korea, China, Japan has not experienced massive migrant crisis before and also not been noticed from migrant issue debating. But the informatization and globalization slowly but gradually drives Northeastern Countries into migrant issues. These countries are coping with various types of migrants, e.g. North Korean Defectors and marriage immigrants. And Korea experienced Syria-Yemen migrant crisis at 2018 which is detonated from European refugee crisis, and that induces forecasting of various forms of migrant issues would be unfold at onshore Northeastern Asian Countries. The characteristics of these kinds of migrant crisis are its large size and unpredictable time line. Current AI cognitive computing technology could be applied to analyze the nature of migrant crisis and to support effective policy making that corresponds migrant crisis.Keyword:Migrant Crisis, Northeastern Countries, Artificial Intelligence(AI), Cognitive Computing, Migrant Policy
This paper is a commentary about the importance and relevance of DNA in respect of the criminal justice system around the world, including Bangladesh. DNA evidence is considered to be one of the best types of evidence the 21st century has to offer. But how truthful is such a consideration? Is such evidence beyond reasonable doubt? This study closely examines the case of Josiah Sutton who was convicted of rape in 2000 after his DNA was found to be a direct match of the DNA evidence taken from the crime scene but was later released in 2004. The article therefore, questions the reliability of that very evidence found against him along with other factors that may contribute against the claim of DNA evidence being conclusive. It discusses both the pros and cons of DNA evidence and how relevant legislations in many countries are controlling such limitations or irregularities in their application of DNA evidence. All such information is crucial for making a comparative analysis with Bangladesh. This paper mainly intends to provide a perspective of the existing DNA Act 2014 of Bangladesh by com-paring its accomplishments as well as its shortcomings with countries who are utilizing this modern form of evidence to its best possible use, providing recommendations for the current legal application of DNA in Bangladesh.Keyword:DNA Evidence, Crime, Legislations, Limitations, Reasonable Doubt.
The purpose of this study is to propose Teaching method and Application case for English education using Flipped learning in the Artificial intelligence era. The study is what flipped learning is and how it was reflected into the class through the design of an education model. The teaching method design is largely classified into three stages: Pre-class pre-study activities, In-class learning activities, Post-class review ac-tivities. And this paper examines class comprehension, problem solving performance through monitoring and real time feedback. The main focus of this study is to help learners with the core content so that the contents of online video lectures are not long(to minimize the burden of learning). Second, students can use smart apps in offline lectures to present problems based on the subjects of the lecture, to identify learners’ learning content in real time, and to supplement the questions with detailed supplementary explanations. Third, simple content is produced and presented using various programs to encourage learners to actively participate in the class. Finally, it activates the exchange of opinion so that instructors can present problems according to learning topics and students express their opinions among learners. This paper shows that the class presenting appropriate topics and discussions with flipped learning can enhance the learners experience through creative image expression and cooperation ability by the use of questionnaires or surveys in the artificial Intelligence era. As the future society demands for problem-solving and creative convergence are growing, the results of this paper show that flipped learning based education model has revealed the importance of talent development for the future.Keyword:Flipped Learning, Teaching Method, Artificial Intelligence, Bidirectional Convergence, Kahoot
Based on the 4th industrial revolution(IR4.0), the entire social paradigm is rapidly changing. All human beings have to adapt themselves to the new environment every day and every moment. Their lives have been met the help of the Big-data and Artificial Intelligence. But this situations can give the anxiety and fear to human beings. So it is very necessary to inquire the reality and its impacts in terms of the moral point of view. In the smart community where humans and machines coexist, human beings should be at the center position. This means that human beings start with well understanding of human themselves and nature. In order to build a smart community with morality, this paper proposes that the algorithm of moral competence test(MCT) should be applied to Artificial Moral Agent(AMA).Keyword:4th Industrial Revolution(IR4.0), Smart Community, Artificial Intelligence(AI), Big-Data, Algorithm of Moral Competence Test(MCT), Artificial Moral Agent(AMA)
This study aims to inquiry the way to solve the current moral problems of the school in China. Based on C-score Algorithm of Moral Competence Test(MCT), this wants to show the alternative to China. C-score’s main idea could be summarized “lowly orientation to the lower values, and highly orientation to the higher values”. In the classroom or some places where teachers feel to educate or share some opinion with students, it is impossible for teacher to handle their students’ whole schedules, interests, and moral tasks. This research used conceptual model based on C-score to imply to Chinese educational environment. But the method was not real made experiment but to make and show the conceptual model as one of the frame-work. The result of this research waits for the empirical results through deeper experiment. Finally this re-search could catch the point that morality could be improved through the process of collaboration be-tween individual as moral agent and school as environment.Keyword:C-Score, Moral Competence Test, Moral Teacher, Chinese Educational Environment, Chinese School Morality