The Contribution of Artificial Intelligence to Stimulating the Innovation of Educational Services and University Programs in Public Administration

IF 1 4区管理学 Q3 PUBLIC ADMINISTRATION

Transylvanian Review of Administrative Sciences Pub Date : 2023-10-31 DOI:10.24193/tras.70e.5

Ruxandra-Irina POPESCU, Oana Matilda SABIE, Marian Iulian TRUȘCĂ

{"title":"The Contribution of Artificial Intelligence to Stimulating the Innovation of Educational Services and University Programs in Public Administration","authors":"Ruxandra-Irina POPESCU, Oana Matilda SABIE, Marian Iulian TRUȘCĂ","doi":"10.24193/tras.70e.5","DOIUrl":null,"url":null,"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.","PeriodicalId":45832,"journal":{"name":"Transylvanian Review of Administrative Sciences","volume":"11 1","pages":"0"},"PeriodicalIF":1.0000,"publicationDate":"2023-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Transylvanian Review of Administrative Sciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.24193/tras.70e.5","RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"PUBLIC ADMINISTRATION","Score":null,"Total":0}

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.

查看原文本刊更多论文

人工智能对促进公共管理教育服务和大学项目创新的贡献

在新的当代流行病范式中，公共行政及其他领域的高等教育知道学术进程的挑战、障碍和机遇。近年来的冲击、环境变化和物理距离导致在基于人工智能的教育服务中实施有效的解决方案。因此，在全球学术领域，许多国际大学都采用了“聊天机器人”，这是一种旨在促进与人对话的数字界面。现代算法交流的效果包括:增加了公共管理专业的入学人数，提高了学术经验和学生的积极参与，同时减少了大学工作人员的行政任务。本文旨在概述对话式人工智能对大学公共管理(PA)项目的潜在影响的看法，并反思其对大学领导和员工工作以及学生参与的影响。该论文将重点关注人工智能工具如何帮助大学项目更有效，以及技术如何支持该领域有限的人力资源。为了收集本研究的数据，我们使用了访谈以及来自实施聊天机器人的国际大学的案例研究。研究结果表明，技术和数字技术的进步将继续塑造高等教育的格局和课程，尤其是私人助理项目。因此，领导者需要监控人工智能(尤其是对话代理)如何影响大学的形象;吸引和留住PA项目和其他重要合作伙伴的学生;员工的生产力，以及如何更积极主动地开展试点项目。这是为数不多的关注当今高等教育对对话式人工智能期望的出版物之一。从这个意义上说，在现代技术举足轻重的市场中，实现聊天机器人可以成为一种竞争优势。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Transylvanian Review of Administrative Sciences PUBLIC ADMINISTRATION-

CiteScore

2.10

自引率

10.00%

发文量

审稿时长

25 weeks

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.