{"title":"Does Gen-AI have a role in public affairs education? Let’s ask ChatGPT","authors":"Daniel Baracskay","doi":"10.1177/01447394241279361","DOIUrl":null,"url":null,"abstract":"The academic literature has expanded significantly in recent times to consider how Gen-AI is transforming the learning process. However, there still remain gaps in the literature, first in applying selected individual Gen-AI applications to classroom learning, and second in focusing upon specific uses in public administration education. In addressing this gap, this research uses a sequence of assignment scenarios to examine how Gen-AI may be integrated into pedagogical approaches and align with course learning objectives. Using the Gen-AI application ChatGPT– which is a popular choice for students to consult for course assignments– an examination of results generated from program queries point toward both opportunities and challenges from the perspectives of teaching (instructors) and learning (students). The below discussion contributes to the literature by first developing three assignment scenarios (linked to learning objectives) to explore the utility of Gen-AI in the learning process, and second discusses various teaching and learning benefits and challenges which are premised on the need for moderation and carefully planned usage of Gen-AI technology in the classroom. This blending of pedagogical theory and practice suggests a need for instructors to teach students about the implications of technology usage and assignment originality in unison with the actual topical coverage of the content that is being presented.","PeriodicalId":44241,"journal":{"name":"Teaching Public Administration","volume":"60 1","pages":""},"PeriodicalIF":1.1000,"publicationDate":"2024-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Teaching Public Administration","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1177/01447394241279361","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"EDUCATION & EDUCATIONAL RESEARCH","Score":null,"Total":0}
引用次数: 0
Abstract
The academic literature has expanded significantly in recent times to consider how Gen-AI is transforming the learning process. However, there still remain gaps in the literature, first in applying selected individual Gen-AI applications to classroom learning, and second in focusing upon specific uses in public administration education. In addressing this gap, this research uses a sequence of assignment scenarios to examine how Gen-AI may be integrated into pedagogical approaches and align with course learning objectives. Using the Gen-AI application ChatGPT– which is a popular choice for students to consult for course assignments– an examination of results generated from program queries point toward both opportunities and challenges from the perspectives of teaching (instructors) and learning (students). The below discussion contributes to the literature by first developing three assignment scenarios (linked to learning objectives) to explore the utility of Gen-AI in the learning process, and second discusses various teaching and learning benefits and challenges which are premised on the need for moderation and carefully planned usage of Gen-AI technology in the classroom. This blending of pedagogical theory and practice suggests a need for instructors to teach students about the implications of technology usage and assignment originality in unison with the actual topical coverage of the content that is being presented.
期刊介绍:
Teaching Public Administration (TPA) is a peer-reviewed journal, published three times a year, which focuses on teaching and learning in public sector management and organisations. TPA is committed to publishing papers which promote critical thinking about the practice and process of teaching and learning as well as those which examine more theoretical and conceptual models of teaching and learning. It offers an international forum for the debate of a wide range of issues relating to how skills and knowledge are transmitted and acquired within public sector/not for profit organisations. The Editors welcome papers which draw upon multi-disciplinary ways of thinking and working and, in particular, we are interested in the following themes/issues: Learning from international practice and experience; Curriculum design and development across all levels from pre-degree to post graduate including professional development; Professional and Taught Doctoral Programmes; Reflective Practice and the role of the Reflective Practitioner; Co-production and co-construction of the curriculum; Developments within the ‘Public Administration’ discipline; Reviews of literature and policy statements.