Ruxandra-Irina POPESCU, Oana Matilda SABIE, Marian Iulian TRUȘCĂ
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引用次数: 0
Abstract
In the new contemporary pandemic paradigm, higher education in public administration and beyond knows challenges, barriers, and opportunities for the academic process. Shocks, environmental changes and physical distancing in recent years have led to the implementation of efficient solutions in educational services, based on artificial intelligence (AI). Thus, in the global academic landscape, many international universities have adopted a ‘chatbot’, a digital interface designed to stimulate conversation with people. Modern algorithmic communications have effects, such as: increasing the number of enrollments in public administration programs, improving academic experience and active student participation, while reducing administrative tasks on university staff. This paper aims to provide a glimpse on the perceptions of the potential impact of conversational artificial intelligence on public administration (PA) programs from universities and to reflect on its implications for university leaders and staff work and also on students’ engagement. The paper will focus on how AI tools will help university programs to be more effective, and how technology will support the limited human resources in this sector. In order to gather the data for this research, the interview was used as well as case studies from international universities that have implemented a chatbot. The research findings capture technological and digital advances that will continue to shape the higher education landscape and its curricula, especially in PA programs. As a result, leaders will need to monitor how artificial intelligence, in particular conversational agents, influences universities’ images; attraction and retention for students in PA programs and other important partners; staff productivity, and how to be more proactive in initiating pilot projects. This is one of the few publications that looks at the expectations for conversational AI in higher education today. In this sense, implementing a chatbot can be a competitive advantage in a market where modern technologies weigh heavily and make a difference.
期刊介绍:
TRAS represents a collective effort initiated by an international group aimed at boosting the research in the field of public administration in a country where during the communist regime there was no tradition in this sense. TRAS represents a unique source of specialized analysis of the ex-communist space, of the transition processes to democracy, of the reform of public administration, and of comparative analysis of administrative systems. The general topic covered by the articles in the Review is administrative sciences. As a result of an interdisciplinary, modern approach, the articles cover the following specific themes: Public management, public policy, administrative law, public policy analysis, regional development, community development, public finances, urban planning, program evaluation in public administration, ethics, comparative administrative systems, etc. TRAS encourages the authors to submit articles that are based on empirical research. From the standpoint of the topic covered, TRAS is lined up with the trends followed by other international journals in the field of public administration. All articles submitted to the Transylvanian Review of Administrative Sciences have to present a clear connection to the field of administrative sciences and the research (both theoretical and empirical) should be conducted from this perspective. Interdisciplinary topics related to organizational theory, sustainable development and CSR, international relations, etc. can be considered for publication, however the research needs to address relevant issues from the perspective of the public sector. Articles which use highly specialized econometrics models as well as studies addressing macro-economic topics will not be considered for evaluation. The decision on whether a certain topic falls within the interest of TRAS belongs to the editors and it is not connected with the overall quality of the work submitted.