Advances in Social Behavior Research (ASBR) is an international peer reviewed journal which publishes only original articles from a wide variety of methodological and disciplinary perspectives concerning education, psychology and communication issues. The journal aims to improve the human condition by providing a public forum for discussion and debate communication, education and psychology issues. The journal publishes articles that are research-oriented and welcomes empirical and theoretical articles concerning micro, meso, and macro phenomena. Manuscripts that are suitable for publication in the ASBR cover domains on various perspectives of education, psychology, communication, and their impact on individuals, businesses and society.
At present, with the rapid development of science and technology in China and the continuous strengthening of international strategic cooperation, the number of undergraduate students from abroad is increasing year by year. It is increasingly important to carry out curriculum ideological and political education for foreign students and cultivate all-around friendly and patriotic foreign students. Taking engineering mechanics as an example, this paper explores the methods and means of organically integrating curriculum ideological and political education into the course in the process of engineering teaching. This paper analyzes in detail the role of teaching method design, teaching technology innovation, and ideological and political scheme selection in the curriculum ideological and political education of foreign students. This paper demonstrates the organic combination of engineering teaching and foreign students' ideological and political education and explores new methods of curriculum ideological and political education for foreign students in the future.
The Hispanic vote in America has traditionally leaned more Democrat in the United States. Appealing to the Hispanic vote as a political tactic has been popular ever since Kennedy’s “Viva Kennedy” campaign to reach out to Mexican Americans, which formed a large part of his victory. This trend will only continue as Hispanic-Americans are the fastestgrowing demographic in America. This paper analyzes the influence of four factors on Hispanic voting in the United States to try and create hypotheses to predict on what considerations must be made when predicting the Hispanic vote.
Algorithmic discrimination is a kind of unreasonable, unequal treatment based on algorithms, which is widely existing in all areas of our social and economic life. Compared with traditional discrimination, algorithmic discrimination is inherent, professional and concealed. In practice, both market forces and government regulation have certain limitations in regulating algorithmic discrimination. On the one hand, enterprise autonomy often fails due to benefit considerations, while industry self-discipline lacks a set of mature and effective rules. On the other hand, in addition to the lack of complete algorithm review mechanisms and accountability systems, government supervision is also limited by technical regulatory difficulties. Therefore, it is necessary to further improve the legislation of algorithmic discrimination, set up algorithm review institutions, establish algorithm review mechanisms and strengthen industry and enterprise self-discipline.
The fan works are produced and widely distributed on the Internet, and are dependent on the original works, but have their own originality. Therefore, whether it is protected by copyright law and whether it infringes on the copyright of the original work has become the focus of academic debate. Despite the possible conflict of copyright with the original work, the law should not completely deny the legitimacy of fan works based on its own characteristics and public interest as well as the needs of social and cultural development, but should regulate the elements of its legitimacy on the basis of clarifying its legal attributes and seek reasonable ways to protect the legitimate rights and interests of the original work.