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Can Participation in Mock Elections Boost Civic Competence among Students? 参加模拟选举能否提高学生的公民能力?
IF 1.1 Q3 POLITICAL SCIENCE Pub Date : 2024-01-05 DOI: 10.1080/15512169.2023.2300425
Erik Lundberg
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引用次数: 0
Teaching the Russian War on Ukraine 俄罗斯乌克兰战争的教学
IF 1.1 Q3 POLITICAL SCIENCE Pub Date : 2023-12-07 DOI: 10.1080/15512169.2023.2287141
Yoshiko M. Herrera
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引用次数: 1
The Russia-Ukraine War: A Good Case Study for Students to Learn and Apply the Critical Juncture Framework 俄乌战争:学生学习和应用 "关键时刻框架 "的良好案例研究
IF 1.1 Q3 POLITICAL SCIENCE Pub Date : 2023-11-29 DOI: 10.1080/15512169.2023.2286472
Daniel Stockemer
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引用次数: 0
Conceive-design-implement-operate: pedagogical innovation to enhance attainment, engagement, satisfaction and employability in political science 构思-设计-实施-操作:提高政治学学习成绩、参与度、满意度和就业能力的教学创新
IF 1.1 Q3 POLITICAL SCIENCE Pub Date : 2023-11-20 DOI: 10.1080/15512169.2023.2284170
Susan Kenyon
This paper introduces a new pedagogic approach to the teaching of political science. In engineering education, the Conceive-Design-Implement-Operate (CDIO) pedagogy provides an active, experiential learning experience, structuring learning around four key phases in product development. Applied to the undergraduate Politics and International Relations (IR) classroom, this pedagogical innovation in learning, teaching and assessment is adapted to policy development. This design-build-test pedagogical approach has been highly successful in engineering education, supporting students to be “industry-ready engineers” on graduation. Results across 3 cohorts suggest that this pedagogical innovation is also highly successful when transferred to Politics and IR, supporting political science students develop “society-ready” attitudes, attributes and skills, greatly enhancing the student experience and increasing their attainment, engagement, inclusion and wider graduate outcomes. Civic engagement and the ability to understand and respond to a range of stakeholders are also improved. This paper presents the pedagogy and the module to which it was applied as a case study, before highlighting opportunities for political science educators to transfer the pedagogy to their own teaching context.
本文介绍了一种新的政治学教学方法。在工程教育中,"构思-设计-实施-操作"(CDIO)教学法提供了一种积极的、体验式的学习经历,围绕产品开发的四个关键阶段组织学习。将这一教学法创新应用于政治学和国际关系(IR)本科生课堂,使其适用于政策制定的学习、教学和评估。这种 "设计-构建-测试 "的教学方法在工程教育中取得了巨大成功,帮助学生在毕业时成为 "行业就绪工程师"。三届学生的学习结果表明,这种教学创新在应用于政治学和投资者关系学时也取得了巨大成功,支持政治学学生培养 "为社会做好准备 "的态度、品质和技能,大大提升了学生的学习体验,提高了他们的学业成绩、参与度、包容性和更广泛的毕业成果。公民参与以及理解和应对各种利益相关者的能力也得到了提高。本文以案例研究的形式介绍了该教学法及其应用的模块,然后强调了政治学教育工作者将该教学法应用到自己的教学环境中的机会。
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引用次数: 0
Institutionalizing Internships: Enhanced Civic Culture via State Capital Internship Programs 实习制度化:通过州府实习计划加强公民文化
IF 1.1 Q3 POLITICAL SCIENCE Pub Date : 2023-11-20 DOI: 10.1080/15512169.2023.2275763
Lauren S. Foley, Marty P. Jordan
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引用次数: 0
Review of Authoritarian Neoliberalism: Philosophies, Practices, Contestations Review of Authoritarian Neoliberalism: Philosophies, Practices, Contestations - Edited by Ian Bruff and Cemal Burak Tansel, ISBN 9781032088020, 156 Pages, Published June 30, 2021 by Routledge 评论威权主义新自由主义:哲学,实践,争论-编辑伊恩·布鲁夫和Cemal Burak坦塞尔,ISBN 9781032088020, 156页,出版2021年6月30日劳特利奇
Q3 POLITICAL SCIENCE Pub Date : 2023-10-28 DOI: 10.1080/15512169.2023.2270092
Burim Mexhuani
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引用次数: 0
Building Political Discourse Skills: Students as Teachers 构建政治话语技巧:学生即教师
Q3 POLITICAL SCIENCE Pub Date : 2023-10-26 DOI: 10.1080/15512169.2023.2267150
Lynne Chandler Garcia, Stacy Ulbig
AbstractIn a highly polarized political environment, political discourse on divisive topics is all the more important. Heeding the many calls for higher education to teach political discourse skills, this study investigates the impact of political discourse lessons in a college-level, political science classroom. Further, it explores the effectiveness of student-peers as teachers. The study finds peers, compared to faculty, are better able to relate to students, and this strength is ideal for teaching subjects that require social connections such as the active listening and perspective taking techniques. Discussion of sensitive political topics can easily lead to discomfort and uneasiness. Our findings suggest that student learners may be more receptive to peer-leaders than to instructors when it comes to such situations. Further peer-teachers experienced increased comfort levels when involved in controversial political discussions and increased ability to engage in political dialogue.Keywords: Political discourseclassroom discussionstudent-instructorspeer teachingcritical thinkingperspective takingactive listening Notes1 Peer teachers in our study were required that to complete IRB training for human subjects and went through rigorous training to become qualified as peer-teachers (see Appendices A and B, supplementary material). While in many settings, peer-teachers also take part in assessment activities, our study limited peer teachers to providing classroom lectures on content.2 This study received all required Institutional Review Board (IRB) approvals under IRB number FAC20180106E.3 Non-peer, faculty members continued to teach all other course lessons.4 See Appendix A (supplementary material) for details on research methodology and Appendix B (supplementary material) for details on student research training.5 See Appendix A (supplementary material) for details.6 The video is available online: https://www.youtube.com/watch?v=Fo2YF5n_D047 See Appendix A (supplementary material) for details.Additional informationNotes on contributorsLynne Chandler GarciaLynne Chandler Garcia is an Associate Professor of Political Science at the U.S. Air Force Academy. Her areas of research within the scholarship of teaching and learning include civil discourse, empathy and efficacy in political behavior, and the art of pedagogy for underprivileged learners. Her foreign policy publications range in topics from military operations in Afghanistan and Iraq, supply chain issues, space policy, and civil-military relations.Stacy UlbigStacy G. Ulbig currently holds the position of Professor of Political Science at Sam Houston State University. Her research focuses on questions about political psychology, political behavior, and media politics. She regularly teaches undergraduate courses in American Government, Texas Government, Attitudes & Behavior, Politics & the Media, and Statistical Methods.
摘要在高度两极化的政治环境中,关于分歧话题的政治话语显得尤为重要。考虑到许多要求高等教育教授政治话语技巧的呼声,本研究调查了政治话语课程在大学水平的政治科学课堂上的影响。此外,它还探讨了学生同伴作为教师的有效性。研究发现,与教师相比,同龄人更能与学生建立联系,这种优势对于教授那些需要社会联系的学科来说是理想的,比如积极倾听和换位思考技巧。讨论敏感的政治话题很容易导致不舒服和不安。我们的研究结果表明,在这种情况下,学生学习者可能比教师更容易接受同伴领导。此外,同行教师在参与有争议的政治讨论和参与政治对话的能力方面也有所提高。关键词:政治话语课堂讨论学生-教师快速教学批判性思维视角积极倾听注1我们研究中的同伴教师被要求完成人类受试者的IRB培训,并经过严格的培训成为合格的同伴教师(见附录A和B,补充材料)。虽然在许多情况下,同行教师也会参与评估活动,但我们的研究限制了同行教师在课堂上讲授内容本研究获得了所有必要的机构审查委员会(IRB)批准,IRB编号为FAC20180106E.3非同行的教员继续教授其他课程研究方法详见附录A(补充材料),学生研究训练详见附录B(补充材料)详见附录A(补充资料)视频可在网上下载:https://www.youtube.com/watch?v=Fo2YF5n_D047详见附录A(补充材料)。林恩·钱德勒·加西亚:林恩·钱德勒·加西亚是美国空军学院政治学副教授。她在教学学术领域的研究领域包括公民话语,政治行为的移情和效能,以及贫困学习者的教学艺术。她的外交政策出版物涉及阿富汗和伊拉克的军事行动、供应链问题、太空政策和军民关系。Stacy G. Ulbig,现任山姆休斯顿州立大学(Sam Houston State University)政治学教授。她的研究重点是政治心理学、政治行为和媒体政治。她经常教授美国政府、德州政府、态度与行为、政治与媒体、统计方法等本科课程。
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引用次数: 0
Teaching (with) Artificial Intelligence: The Next Twenty Years 人工智能教学:未来二十年
Q3 POLITICAL SCIENCE Pub Date : 2023-10-10 DOI: 10.1080/15512169.2023.2266848
Steven Michels
AbstractThe advent of artificial intelligence and concerns over academic integrity have put instructors from every discipline on notice regarding the kinds of coursework we are assigning. But this is also a moment to deliver content in a manner that is clearer and more dynamic, use more active forms of learning, and improve the academic and professional outcomes of our students. This article surveys the most common themes and approaches from the pages of the journal and offers some suggestions for how AI and generative technologies can augment our teaching and allow instructors to focus on higher-level learning outcomes.Keywords: Artificial intelligenceAIChatGPTacademic integritywriting instruction AcknowledgmentsHe would like to thank Michael Vale, Colleen Butler-Sweet, Jeff Naftzinger, Alex D’Adamo, Elizabeth Luoma, and Kate Cunningham for their feedback and support along the way.Disclosure statementThere are no competing interests to declare.Additional informationNotes on contributorsSteven MichelsSteven Michels is a professor of political science at Sacred Heart University in Fairfield, CT, where he teaches courses on democracy, political economy, and the politics of law. Among his many books, articles, and chapters is Sinclair Lewis and American Democracy. Find him on LinkedIn: linkedin.com/in/stevenmichels.
摘要人工智能的出现和对学术诚信的关注,已经让各个学科的教师注意到我们布置的课程类型。但这也是一个时刻,以更清晰、更有活力的方式提供内容,使用更积极的学习形式,提高学生的学术和专业成果。本文调查了期刊中最常见的主题和方法,并就人工智能和生成技术如何增强我们的教学,让教师专注于更高水平的学习成果提供了一些建议。感谢Michael Vale、Colleen Butler-Sweet、Jeff Naftzinger、Alex D’adamo、Elizabeth Luoma和Kate Cunningham一路上的反馈和支持。披露声明没有竞争利益需要申报。作者简介:steven Michels是康涅狄格州费尔菲尔德圣心大学的政治学教授,在那里他教授民主、政治经济学和法律政治学。在他的众多书籍、文章和章节中,有《辛克莱·刘易斯与美国民主》。在LinkedIn上找到他:linkedin.com/in/stevenmichels。
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引用次数: 0
Quantitative Political Science Education in the Past and Future 定量政治学教育的过去与未来
Q3 POLITICAL SCIENCE Pub Date : 2023-09-21 DOI: 10.1080/15512169.2023.2260034
Eric Best, Daniel J. Mallinson
AbstractThere has been a massive shift in teaching quantitative political research since the Journal of Political Science Education was launched in 2004. Smartphones were an anomaly, and it was uncommon to have laptops in the classroom. Statistical calculations were sometimes done by “statisticians”, i.e., professional staff who did calculations for faculty members. Today, it is rare to see students without electronics. Through that transition we experienced ubiquitous Wi-Fi and smartphones, statistical computing on personal computers, the end of the academic staff statistician, an explosion in open-source statistical software and tutorials, and an unexpected mass transition to online learning during COVID. We experienced a similar revolution in teaching statistics. Increases in computational power and data availability make quantitative and qualitative research different than 20 years ago. Computation is rarely a limiting factor, and we find ourselves spending more time on statistical assumptions, correct methods, data integrity, and replicability. We are now entering an era of assistive technology and will need to transition to teaching students how to use artificial intelligence tools to assist them with quantitative work. In this article, we consider these changes and what they mean for teaching political science in the next 20 years.Keywords: Methods pedagogypolitical science educationquantitative political analysis Disclosure statementThe authors report there are no competing interests to declare.Notes1 NVivo is a qualitative analysis software that allows for document collection, organization, coding, and analysis (https://lumivero.com/products/nvivo/).2 A website where users post coding problems that are answered by other users or package developers (https://stats.stackexchange.com/). See also Stackoverflow (https://stackoverflow.com/).3 Applications like Nearpod, Mentimeter, and Echo360 offer students and instructors features to help integrate traditional presentation slides with interactive activities. They expand substantially upon older iClicker student response systems that allowed for on-the-spot multiple-choice and true-false questions during lectures (Baumann, Marchetti, and Soltoff Citation2015). For example, Nearpod has posterboards that allow students to post notes in response to an instructor’s prompts.4 https://blogs.sas.com/content/sgf/2014/10/08/configuring-sas-what-to-know-before-you-install/.5 R is an open-source statistical computing software (https://cran.r-project.org/).6 Python is a programming language. In addition to other programming, it can be used to conduct statistics (https://docs.python.org/release/2.0/).7 https://www.tiobe.com/tiobe-index/8 An aside that becomes extremely important later, in 2007, Apple released the iPhone and “iOS” and Google followed shortly after with Android. This had almost no impact on the classroom at the time, but fast forward to 2023, and students constantly attempt to use these devic
摘要自2004年《政治学教育》创刊以来,定量政治研究的教学方式发生了巨大的转变。智能手机是一种反常现象,在教室里使用笔记本电脑也很少见。统计计算有时由“统计学家”完成,即为教员计算的专业人员。今天,很少看到没有电子产品的学生。在这一转变过程中,我们经历了无处不在的Wi-Fi和智能手机、个人电脑上的统计计算、学术人员统计学家的终结、开源统计软件和教程的爆炸式增长,以及在COVID期间意外地大规模过渡到在线学习。我们在统计学教学方面也经历了类似的革命。计算能力和数据可用性的提高使得定量和定性研究与20年前不同。计算很少是一个限制因素,我们发现自己花了更多的时间在统计假设、正确的方法、数据完整性和可复制性上。我们现在正在进入一个辅助技术的时代,需要过渡到教学生如何使用人工智能工具来帮助他们进行定量工作。在本文中,我们将探讨这些变化,以及它们对未来20年的政治学教学意味着什么。关键词:方法教育学政治学教育学定量政治分析公开声明作者报告无利益冲突声明。注1 NVivo是一款定性分析软件,允许文档收集、组织、编码和分析(https://lumivero.com/products/nvivo/).2用户发布编码问题,由其他用户或软件包开发人员回答的网站(https://stats.stackexchange.com/)。也可以参见Stackoverflow (https://stackoverflow.com/).3),像Nearpod、Mentimeter和Echo360这样的应用程序为学生和教师提供了功能,帮助他们将传统的演示幻灯片与互动活动结合起来。它们在较早的icicker学生响应系统的基础上进行了大量扩展,该系统允许在讲座期间进行现场选择题和是非题(Baumann, Marchetti, and Soltoff Citation2015)。例如,Nearpod有海报板,学生可以根据老师的提示贴出笔记。4 https://blogs.sas.com/content/sgf/2014/10/08/configuring-sas-what-to-know-before-you-install/.5 R是一个开源的统计计算软件(https://cran.r-project.org/).6 Python是一种编程语言。除了其他编程之外,它还可以用来进行统计(https://docs.python.org/release/2.0/).7 https://www.tiobe.com/tiobe-index/8这一点后来变得非常重要,在2007年,苹果公司发布了iPhone和“iOS”,谷歌紧随其后推出了Android。这在当时的课堂上几乎没有任何影响,但快进到2023年,学生们不断尝试使用这些设备来完成课程,却感到非常沮丧参见https://doesitarm.com/app/rstudio, https://learn.microsoft.com/en-us/surface/surface-arm-faq10 https://community.canvaslms.com/docs/DOC-10720-67952720329.11 RStudio是一个集成开发环境,用户可以在其中开发和编译R和Python代码(https://posit.co/download/rstudio-desktop/)。Quarto是一个使用R、Python、Julia和Observable进行科学写作的开源平台(https://quarto.org/).12 Jupyter Notebooks是一个基于云的计算平台(https://jupyter.org/).13 Google collaboration也是一个基于云的笔记本)https://colab.research.google.com/).14 Posit Cloud是一个基于web的协作使用RStudio的平台(https://posit.co/download/rstudio-server/)。15 https://git-scm.com/16 Github是一个基于云的平台,开发者可以在这里共享计算机代码(https://github.com/).17 https://openai.com/blog/chatgpt18 https://us-rse.org/Additional)。作者简介:seric BestEric Best是美国奥尔巴尼大学(University at Albany)人工智能研究所的应急管理和国土安全助理教授。他的研究兴趣包括从移动传感器收集和分析数据,以便在建筑环境中快速决策。Eric教授定量研究方法和研究软件设计课程。丹尼尔·j·马林森,宾夕法尼亚州立大学哈里斯堡分校公共政策与管理学副教授。他的研究兴趣包括政策过程理论(特别是政策扩散和间断均衡理论)、大麻政策、能源政策和教与学科学。
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引用次数: 0
Disentangling Perception and Performance: A Natural Experiment on Student Engagement and Learning in Simulations 解开知觉与表现:模拟中学生参与与学习的自然实验
Q3 POLITICAL SCIENCE Pub Date : 2023-09-13 DOI: 10.1080/15512169.2023.2245511
Spencer Shanks, Jiakun Jack Zhang
Simulations are increasingly recognized for promoting active learning and student engagement and fostering career skills. Yet whether and how simulations facilitate learning, engagement, or both are still subjects of considerable debate. Many existing studies tend to be observational in design, constrained to a single semester, or reliant on student self-assessment to measure efficacy. We use an experimental approach to demonstrate the effects of classroom simulations on both self-assessment and objective academic performance at a large public university. Over the course of three years, we “treated” some sections of an Introduction to International Relations course (N = 244) with simulations while other “control” sections participated in debates and discussions. We compare self-assessed engagement and motivation from surveys, as well as performance on quizzes and exams in the same course (same instructor, materials, and textbook). Our results demonstrate that students “treated” with the simulations show sustained improvements in academic performance in both iterative (weekly quizzes) and long-term (final exam) contexts, controlling for the mode of delivery. These improvements are also found to be robust for both high and low-performing students in the class. However, we were surprised to find a disconnect between student perceptions of engagement and actual course performance: Self-assessed student engagement and motivation were poor predictors of subsequent academic performance.
模拟在促进主动学习和学生参与以及培养职业技能方面越来越得到认可。然而,模拟是否以及如何促进学习和参与,或者两者兼而有之,仍然是一个颇有争议的话题。许多现有的研究往往在设计上是观察性的,局限于一个学期,或者依赖于学生的自我评估来衡量效果。我们使用实验方法来证明课堂模拟对一所大型公立大学的自我评估和客观学习成绩的影响。在三年的时间里,我们用模拟来“处理”国际关系导论课程(N = 244)的一些部分,而其他“控制”部分则参与辩论和讨论。我们比较了自我评估的参与度和调查的动机,以及在同一门课程(相同的老师、材料和教科书)中的测验和考试表现。我们的研究结果表明,在控制教学模式的情况下,接受模拟的学生在迭代(每周测验)和长期(期末考试)环境中都表现出持续的学习成绩改善。研究还发现,这些改进对班上表现优异和表现不佳的学生都很有效。然而,我们惊讶地发现,学生对参与度的看法与实际课程表现之间存在脱节:自我评估的学生参与度和积极性不能很好地预测随后的学习成绩。
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引用次数: 0
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Journal of Political Science Education
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