Does Gen-AI have a role in public affairs education? Let’s ask ChatGPT

要价 政治学 公共行政 社会学 经济 经济
作者
Daniel Baracskay
出处
期刊:Teaching Public Administration [SAGE Publishing]
标识
DOI:10.1177/01447394241279361
摘要

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.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
Zheyuan完成签到,获得积分10
1秒前
火星上新竹完成签到,获得积分10
1秒前
852的应助被1246241采纳,获得10
2秒前
初景发布了新的文献求助10
2秒前
2秒前
4秒前
魅力如风完成签到 ,获得积分10
4秒前
5秒前
5秒前
清脆音响完成签到,获得积分10
5秒前
搞笑煎蛋完成签到 ,获得积分10
5秒前
6秒前
juzi完成签到,获得积分10
6秒前
6秒前
Fearless发布了新的文献求助10
7秒前
8秒前
8秒前
9秒前
9秒前
柴柴发布了新的文献求助10
9秒前
9秒前
10秒前
小jia很ok发布了新的文献求助10
10秒前
Power_Liu给Power_Liu的求助进行了留言
11秒前
小可爱发布了新的文献求助10
11秒前
aij发布了新的文献求助10
12秒前
cc发布了新的文献求助30
13秒前
545488发布了新的文献求助10
13秒前
苏木发布了新的文献求助10
14秒前
14秒前
王临川发布了新的文献求助30
14秒前
16秒前
16秒前
淡然冬灵发布了新的文献求助20
16秒前
斯文败类的应助被Echo采纳,获得10
16秒前
16秒前
16秒前
16秒前
nalala完成签到 ,获得积分10
16秒前
MM完成签到,获得积分10
17秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Encyclopedia of Modern Artificial Intelligence 1000
Особенности технологий и методов информационно-психологических войн СССР с Великобританией и США в период 1939-1953 гг 1000
Das Matthäusevangelium: Kapitel 1:1–17 1000
IRTSD: Open-Source Data and Toolset for Electromagnetic Transient Analysis of Disturbances and IBR Control Malfunctions in Transmission Systems 1000
Entre Praga y Madrid : los contactos checoslovaco-españoles (1948-1977) 600
A REVIEW OF THE V-22 DYNAMICS VALIDATION PROGRAM 600
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 计算机科学 工程类 有机化学 化学工程 生物化学 物理 复合材料 内科学 催化作用 光电子学 人工智能 细胞生物学 无机化学 物理化学 数学
热门帖子
关注 科研通微信公众号,转发送积分 8129100
求助须知:如何正确求助?哪些是违规求助? 9531459
关于积分的说明 21590874
捐赠科研通 7710061
什么是DOI,文献DOI怎么找? 3417531
关于科研通互助平台的介绍 2543119
邀请新用户注册赠送积分活动 2458869