Pub Date : 2024-01-05DOI: 10.1080/15512169.2023.2300425
Erik Lundberg
{"title":"Can Participation in Mock Elections Boost Civic Competence among Students?","authors":"Erik Lundberg","doi":"10.1080/15512169.2023.2300425","DOIUrl":"https://doi.org/10.1080/15512169.2023.2300425","url":null,"abstract":"","PeriodicalId":46033,"journal":{"name":"Journal of Political Science Education","volume":"3 2","pages":""},"PeriodicalIF":1.1,"publicationDate":"2024-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139381235","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-12-07DOI: 10.1080/15512169.2023.2287141
Yoshiko M. Herrera
{"title":"Teaching the Russian War on Ukraine","authors":"Yoshiko M. Herrera","doi":"10.1080/15512169.2023.2287141","DOIUrl":"https://doi.org/10.1080/15512169.2023.2287141","url":null,"abstract":"","PeriodicalId":46033,"journal":{"name":"Journal of Political Science Education","volume":"118 12","pages":""},"PeriodicalIF":1.1,"publicationDate":"2023-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138590414","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-11-29DOI: 10.1080/15512169.2023.2286472
Daniel Stockemer
{"title":"The Russia-Ukraine War: A Good Case Study for Students to Learn and Apply the Critical Juncture Framework","authors":"Daniel Stockemer","doi":"10.1080/15512169.2023.2286472","DOIUrl":"https://doi.org/10.1080/15512169.2023.2286472","url":null,"abstract":"","PeriodicalId":46033,"journal":{"name":"Journal of Political Science Education","volume":"19 1","pages":""},"PeriodicalIF":1.1,"publicationDate":"2023-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139214826","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-11-20DOI: 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.
{"title":"Conceive-design-implement-operate: pedagogical innovation to enhance attainment, engagement, satisfaction and employability in political science","authors":"Susan Kenyon","doi":"10.1080/15512169.2023.2284170","DOIUrl":"https://doi.org/10.1080/15512169.2023.2284170","url":null,"abstract":"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.","PeriodicalId":46033,"journal":{"name":"Journal of Political Science Education","volume":"91 1","pages":""},"PeriodicalIF":1.1,"publicationDate":"2023-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139255641","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-11-20DOI: 10.1080/15512169.2023.2275763
Lauren S. Foley, Marty P. Jordan
{"title":"Institutionalizing Internships: Enhanced Civic Culture via State Capital Internship Programs","authors":"Lauren S. Foley, Marty P. Jordan","doi":"10.1080/15512169.2023.2275763","DOIUrl":"https://doi.org/10.1080/15512169.2023.2275763","url":null,"abstract":"","PeriodicalId":46033,"journal":{"name":"Journal of Political Science Education","volume":"32 2","pages":""},"PeriodicalIF":1.1,"publicationDate":"2023-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139255586","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-28DOI: 10.1080/15512169.2023.2270092
Burim Mexhuani
{"title":"Review of <i>Authoritarian Neoliberalism: Philosophies, Practices, Contestations</i> <b> Review of <i>Authoritarian Neoliberalism: Philosophies, Practices, Contestations</i> </b> - Edited by Ian Bruff and Cemal Burak Tansel, ISBN 9781032088020, 156 Pages, Published June 30, 2021 by Routledge","authors":"Burim Mexhuani","doi":"10.1080/15512169.2023.2270092","DOIUrl":"https://doi.org/10.1080/15512169.2023.2270092","url":null,"abstract":"","PeriodicalId":46033,"journal":{"name":"Journal of Political Science Education","volume":"30 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136233714","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-26DOI: 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。
{"title":"Building Political Discourse Skills: Students as Teachers","authors":"Lynne Chandler Garcia, Stacy Ulbig","doi":"10.1080/15512169.2023.2267150","DOIUrl":"https://doi.org/10.1080/15512169.2023.2267150","url":null,"abstract":"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.","PeriodicalId":46033,"journal":{"name":"Journal of Political Science Education","volume":"122 12","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136381091","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-10DOI: 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.
{"title":"Teaching (with) Artificial Intelligence: The Next Twenty Years","authors":"Steven Michels","doi":"10.1080/15512169.2023.2266848","DOIUrl":"https://doi.org/10.1080/15512169.2023.2266848","url":null,"abstract":"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.","PeriodicalId":46033,"journal":{"name":"Journal of Political Science Education","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136357473","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-09-21DOI: 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。
{"title":"Quantitative Political Science Education in the Past and Future","authors":"Eric Best, Daniel J. Mallinson","doi":"10.1080/15512169.2023.2260034","DOIUrl":"https://doi.org/10.1080/15512169.2023.2260034","url":null,"abstract":"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","PeriodicalId":46033,"journal":{"name":"Journal of Political Science Education","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136237436","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-09-13DOI: 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.
{"title":"Disentangling Perception and Performance: A Natural Experiment on Student Engagement and Learning in Simulations","authors":"Spencer Shanks, Jiakun Jack Zhang","doi":"10.1080/15512169.2023.2245511","DOIUrl":"https://doi.org/10.1080/15512169.2023.2245511","url":null,"abstract":"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.","PeriodicalId":46033,"journal":{"name":"Journal of Political Science Education","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135739850","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}