Authors:N. H. Vasoya Pages: 1 - 5 Abstract: Artificial intelligence (AI) is rapidly changing the landscape of education, but it also brings new risks and challenges. Parents and educators have a critical role to play in managing these risks and ensuring that AI is used in a responsible and ethical manner. This research article explores the role of parents and educators in managing the risks of AI in education. It discusses the potential risks of AI in education, the responsibilities of parents and educators, and strategies for managing these risks. The article concludes with policy recommendations for promoting responsible and ethical use of AI in education. PubDate: 2023-03-21 DOI: 10.9734/ajess/2023/v41i4899 Issue No:Vol. 41, No. 4 (2023)
Authors:Agus Perry Kusuma , Slamet Isworo Pages: 6 - 17 Abstract: Background and Objective: The world was divided into two major ideologies of power, involving countries of socialist and democratic capitalism, which presented different ways of dealing with the COVID-19 pandemic. Each major power claims to be the best informed and resolute in handling the pandemic. In this sense, this study aims to analyze the success factors in coping with the pandemic in countries with capitalist and socialist government regimes. Methods: This study uses a systematic review of the literature, using the PICO strategy for the construction of the research question, the bibliographic search and the best available scientific information in the systematization. Results: Summarize the main results described in Table 2, indicating how many articles presented better and worse results in socialist and capitalist countries. Conclusion: Socialist countries, despite acting in a repressive and authoritarian way, had better results in facing the COVID-19 pandemic, compared to capitalist countries. Care is needed when interpreting these results, due to the risk of manipulation of information adopted in socialist countries, due to the control of the media and government bodies. PubDate: 2023-03-24 DOI: 10.9734/ajess/2023/v41i4900 Issue No:Vol. 41, No. 4 (2023)
Authors:Xiaofan Ma , Zezhong Yang Pages: 18 - 25 Abstract: With the continuous development of the big data era, data analysis is appearing more and more frequently, and the corresponding data concept is becoming more and more important. Many scholars have conducted relevant research on the cultivation of junior high school students ' data concept, however, few relevant findings have been summarized. The purpose of this paper is to understand the research status of data concept training strategies for junior high school students in China, and to provide corresponding strategic reference for how to cultivate junior high school students ' data concept. Through the method of literature analysis, this paper reviews and sorts out the research on the cultivation of data concept of Chinese junior high school students, and draws the following conclusions: 1. The cultivation strategy of data concept of Chinese junior high school students is mainly studied from three aspects: before class, in class, and after class; 2. Previous studies have put forward more strategies for the cultivation of junior high school students ' data concept from the perspective of the classroom, and there are few studies on pre-class and after-class aspects; 3. Researchers mainly use four research methods: literature research, questionnaire survey, case analysis, and interview; 4. Most of the suggestions and strategies given by scholars are from the perspective of teachers, and there are gaps in the perspective of students. Therefore, in the future, it is essential for improving the research methods and conducting research from a broader perspective in order to find more reasonable and specific suggestions and strategies. PubDate: 2023-03-24 DOI: 10.9734/ajess/2023/v41i4901 Issue No:Vol. 41, No. 4 (2023)
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