Border Crossing https://journals.tplondon.com/bc <p><strong>Border Crossing</strong> is an interdisciplinary and peer-reviewed international journal of Social Sciences and Humanities. Border Crossing is published twice a year in January-June and July-December. Articles are published online immediately as they are accepted and produced. The Journal follows a strict double-blind review policy embedded in our general <a style="background-color: #ffffff;" href="https://www.tplondon.com/authors/publishingethics/" target="_blank" rel="noopener">publishing ethics</a> and supported by rigorous academic scrutiny of papers published.</p> <p><strong>Border Crossing</strong> is indexed and abstracted in: Central and Eastern European Online Library (CEEOL) | China Academic Journals Database (CNKI Scholar) | EBSCO Academic Search international | ERIH PLUS (Erih Index) | Norwegian Register for Scientific Journals (NSD) | Research Papers in Economics (RePEc) | Border Crossing is also included in American Sociological Association's Publication Options Journal Directory. </p> <p class="smaller"><strong>Journal Founded:</strong> 2011<br /><strong>ISSN:</strong> 2046-4436 (Print) | <strong>ISSN:</strong> 2046-4444 (Online)<br /><strong>Publication Frequency:</strong> Two issues a year: January-June and July-December</p> Transnational Press London en-US Border Crossing 2046-4436 <p>Copyright © 2020 Transnational Press London</p> Artificial Intelligence in Higher Education: Challenges and Opportunities https://journals.tplondon.com/bc/article/view/2015 <p><em>According to various international reports, Artificial Intelligence in Education (AIEd) is one of the emerging fields in education technology. Whilst it has been around for about thirty years, educators remain unclear as to how to take full pedagogical advantage of AI on a broader scale and how it could actually have a meaningful impact on teaching and learning in higher education. This paper aims to evaluate Artificial Intelligence within Higher Education, focussing on the opportunities and challenges it presents. It also investigates the educational implications of emerging technologies on the way students learn and how institutions teach and evolve. The paper gathers some examples of the introduction of AI in education in a bid to establish equitable, quality education for all. Firstly, the paper analyses how AI can be used to improve learning outcomes, presenting examples of how AI technology can help education systems use data to improve equity and quality in Higher Education. The paper also addresses the benefits and challenges of introducing AI in educational settings, as well as the potential risks of such an endeavour. Finally, we put forward some recommendations for AI in education, with a focus on establishing discussions around the uses, possibilities and risks of AI in education for sustainable development. </em></p> Susan Nwadinachi Akinwalere Ventsislav Ivanov Copyright (c) 2022 Border Crossing 2022-02-06 2022-02-06 12 1 1 15 10.33182/bc.v12i1.2015 The Plight of Foreign Workers in Japan: Their Stories Speak for Themselves https://journals.tplondon.com/bc/article/view/2114 <p><em>Japan’s demographic changes over the past decades have prompted a sea change in immigration policy. Once such effect has been the influx of foreign labor to address labor shortages in various sectors of the economy. The purpose of this paper is to examine the recent situation of foreign workers in Japan who have been impacted by these immigration policies, particularly considering the coronavirus pandemic. We present the results of in-depth interviews with such individuals to provide insight into their working and living conditions. We conclude that to date, the new immigration system has failed to live up to expectations, and if Japan wants to accept more foreign workers to boost its economy and realize faster progress in globalization, more efforts need to be made at both the national and local levels.</em></p> Rong Zhang Dennis McCornac Copyright (c) 2022 Border Crossing 2022-02-23 2022-02-23 12 1 17 32 10.33182/bc.v12i1.2114 “Donki” Migration of Refugees from South Asia to Greece https://journals.tplondon.com/bc/article/view/1927 <p><em>This article focused on the study of irregular “Donki” migration of refugees from South Asia to Greece in Europe. The study is based on the field survey which was conducted in August 2017 in Athens, Greece. The primary data was collected by method of qualitative study design. The finding of study show that “Donki” migration is associated with unauthorised migration of refugees from South Asia to Europe due to hopes of better life in Europe compared to South Asia. The “Donki” migration is synonyms with the hurdles and bravery in the views of South Asian refugees because South Asian refugees face political, economic and geographical challenges with psychological distress in the entire journey of migration from South Asia to Europe. This study encourages academics, researchers and policy makers to understand the meaning, determinants and consequences of “Donki” migration. It is hoped to be useful for better policies for management of the challenges faced by South Asian refugees in Europe. </em></p> Mohammed Taukeer Copyright (c) 2022 Border Crossing 2022-02-23 2022-02-23 12 1 33 43 10.33182/bc.v12i1.1927 The Effect of Cognitive Structure and Social Attitudes on System Justification Motivation https://journals.tplondon.com/bc/article/view/2098 <p><em>System legitimation theory uses supportive ideologies and stereotypes to sustain existing systems in society. The main purpose of this study is to examine the role of cognitive structure, which is effective in legitimizing the current system in which individuals live, with the need for cognitive closure, and the role of social attitudes with right-wing authoritarianism and social dominance orientation. A total of 394 people, 203 women and 191 men, between the ages of 23-55, living in Manisa and its surroundings, voluntarily participated in the study. The relationship of the participants' tendencies to legitimize the system with various demographic variables (age, gender, marital status, longest place of residence, religious and political orientation), cognitive closure need, right-wing authoritarianism, and social dominance orientation variables were analyzed in three steps by hierarchical multiple regression analysis. It was observed that the gender, marital status, religious and political tendencies of the participants significantly predicted their tendency to legitimize the system. It has been observed that the need for cognitive closure and the right wing authoritarianism and social dominance orientation, which form the dual process model, positively predict the tendency to legitimize the system.</em></p> B. Dilara Şeker Emine Akman Direkçi Copyright (c) 2022 Border Crossing 2022-03-07 2022-03-07 12 1 45 64 10.33182/bc.v12i1.2098