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Designing a Data Privacy Course 设计数据隐私课程
IF 0.5 Q3 LAW Pub Date : 2024-07-10 DOI: 10.1111/jlse.12152
Patricia M. Sheridan, Marc Waldman

Today's college students increasingly rely on technology in their daily activities, and a basic awareness of data privacy is becoming essential from both a personal and professional standpoint. This article describes the design of an interdisciplinary undergraduate course focused on data privacy law. It outlines the key content areas that encompass the foundational principles of this emerging field and includes descriptions of hands-on exercises that illustrate the technical and managerial elements of a comprehensive privacy compliance program. The course framework and sample assignments can serve as a model for other faculty seeking to teach data privacy law to undergraduate students.

当今的大学生在日常活动中越来越依赖于技术,从个人和职业的角度来看,对数据隐私的基本认识变得至关重要。本文介绍了以数据隐私法为重点的跨学科本科课程的设计。它概述了包含这一新兴领域基本原则的关键内容领域,并介绍了说明全面隐私合规计划的技术和管理要素的实践练习。课程框架和作业示例可作为其他教师向本科生教授数据隐私法的范本。
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引用次数: 0
A Metacognitive Teaching Intervention to Overcome Student Misunderstandings About Negligence 克服学生对过失的误解的元认知教学干预措施
IF 0.5 Q3 LAW Pub Date : 2024-06-30 DOI: 10.1111/jlse.12151
Judd L. Leach, Lesley F. Leach, Kyle Post

Negligence can be a difficult concept for business law students to understand, likely due to faulty schemas and naïve theories formed by their prior experiences. In this article, we describe a metacognitive teaching intervention used in a business law course to potentially overcome students’ misconceptions regarding negligence. On average, students who received the teaching intervention experienced greater growth in their understanding of negligence than students who did not receive the teaching intervention. These initial results provide support for the development of additional metacognitive strategies to overcome student obstacles to understanding negligence.

对于商法专业的学生来说,过失可能是一个很难理解的概念,这很可能是由于他们之前的经验形成了错误的图式和幼稚的理论。在本文中,我们介绍了在商法课程中使用的元认知教学干预措施,该措施有可能克服学生对过失的错误认识。平均而言,与未接受教学干预的学生相比,接受教学干预的学生对过失的理解有了更大的提高。这些初步结果为开发更多元认知策略以克服学生在理解过失方面的障碍提供了支持。
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引用次数: 0
Escape the Professor's Office: An Exercise of Collaboration and Game-Play 逃离教授办公室:合作与游戏练习
IF 0.5 Q3 LAW Pub Date : 2024-06-12 DOI: 10.1111/jlse.12150
Kylie S. Aikey

This teaching note illustrates how escape rooms can be utilized as a tool to teach or review business law concepts, encourage student collaboration, and provide an opportunity for gameplay. Escape rooms can be adapted to any topic, made asynchronous, and scaled up to accommodate larger groups. This note also describes the value of incorporating gameplay and collaborative pedagogy activities into the classroom and gives a complete overview of everything needed to complete “Escape the Professor's Office.”

本教学说明阐述了如何利用密室作为工具,教授或复习商业法概念,鼓励学生合作,并提供游戏机会。密室逃脱可以适用于任何主题,可以异步进行,也可以扩大规模以容纳更多的小组。本说明还介绍了将游戏和协作教学法活动纳入课堂的价值,并完整概述了完成 "逃离教授办公室 "所需的一切。
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引用次数: 0
Why and How to Include Comparative Law Examples in Today's Business Law or Legal Environment Course 为什么以及如何在当今的商业法或法律环境课程中加入比较法实例
IF 0.5 Q3 LAW Pub Date : 2024-06-12 DOI: 10.1111/jlse.12149
Tonia Hap Murphy

Increasing numbers of international students attend American universities. Many study business. This article advocates comparative law examples in an introductory Business Law or Legal Environment course, toward signaling respect and inclusion to international students and fostering in American students critical thinking and a global mindset. The article provides background on comparative law and suggestions for how to incorporate comparative law examples on the jury system, eminent domain, defamation, contract law, and employment at-will.

越来越多的留学生就读于美国大学。许多学生学习商科。本文提倡在商法或法律环境入门课程中使用比较法实例,以表示对国际学生的尊重和包容,并培养美国学生的批判性思维和全球心态。文章介绍了比较法的背景,并就如何纳入陪审团制度、征用权、诽谤、合同法和任意雇佣等方面的比较法实例提出了建议。
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引用次数: 0
Shine more light on your classroom: A review of Perry Binder's Classroom Lightbulbs for College Professors 照亮你的课堂Perry Binder 的《大学教授的课堂灯泡》评述
IF 0.4 Q3 LAW Pub Date : 2024-02-25 DOI: 10.1111/jlse.12143
Michael Conklin
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引用次数: 0
Rising to Meet the Challenge of Generative AI 奋起迎接生成式人工智能的挑战
IF 0.4 Q3 LAW Pub Date : 2024-02-13 DOI: 10.1111/jlse.12141
Inara Scott
<p>ChatGPT launched in November 2022 and quickly became the fastest-growing user application in history, marking one million users in two months—a milestone that took TikTok nine months to achieve and Instagram two and a half years.1 That explosive growth has come with an explosion of concern for the ability of scientists and regulators to understand what it is, how it works,2 and its potential to change life as we know it. Politicians and technology executives alike are calling for more and better regulation to ensure apocalyptic scenarios of artificial intelligence (AI)-aided disasters (everything from AI-created weapons to sentient AI systems) do not come to pass.3 Meanwhile, the practice of law is dealing with the implications of a tool that can pass the Bar exam4 and colleges and universities are grappling with the reality that students can use generative AI to complete just about any assignment they can give.5</p><p>This article is not intended to “solve” the problem of generative AI. Rather, recognizing the astonishing pace of development of generative AI tools and their impact on business law and other higher education classes, it seeks to provide specific, concrete steps that faculty can take to evolve alongside these tools. There is no way to “AI-proof” your classes. However, taking the steps outlined here can help you decide <i>what</i> you want to teach and <i>how</i> you should teach it. It offers a structure for identifying the content you want to keep and what you can let go of and tips for redesigning assignments and syllabi to clarify your approach to students and reduce academic misconduct.</p><p>To understand the profound impact of generative AI and tools like ChatGPT, it is helpful to begin by unpacking some of the language that is used in this field.6 AI, short for “artificial intelligence,” generally refers to the use of machines, particularly computers, to perform tasks that simulate the use of human thinking, reasoning, and learning.7 We encounter AI throughout our day, when using computer applications like a Google search, interacting with a chatbot on a consumer website, or using a virtual assistant like Siri or Alexa. The ubiquity of AI in our daily lives is predicted to increase.8 In the near term, AI's use will likely become more ubiquitous as it becomes embedded in the way we interact with everyday items like our cars, office computers, and coffee machines.9</p><p>The term artificial “intelligence” is controversial because machines do not actually have the capacity to think or learn like humans. Their programming can <i>simulate</i> some aspects of human intelligence, but they do not reason like a human.10 For this reason, scientists distinguish between “strong AI” or “artificial general intelligence” and “weak AI.”11 Weak AI is what we generally have in use today—computers simulating human intelligence while they complete a specific type of task they have been programmed to perform. Strong AI is a theoretical system
1 引言 ChatGPT 于 2022 年 11 月推出,并迅速成为史上用户增长最快的应用程序,两个月内用户数量就达到 100 万--TikTok 用了 9 个月,Instagram 用了两年半才达到这一里程碑。政界人士和技术高管都在呼吁制定更多更好的法规,以确保人工智能(AI)辅助灾难(从人工智能制造的武器到有生命的人工智能系统)的末日场景不会发生。3 与此同时,法律界正在应对一种可以通过律师资格考试的工具所带来的影响4 ,而高校也在努力应对这样一个现实:学生可以使用生成式人工智能来完成他们能布置的任何作业5。5 本文无意 "解决 "生成式人工智能的问题,而是认识到生成式人工智能工具惊人的发展速度及其对商法和其他高等教育课程的影响,试图提供教师可以采取的具体步骤,以便与这些工具共同发展。没有办法让你的课堂 "不受人工智能的影响"。不过,采取这里概述的步骤可以帮助你决定要教什么以及如何教。它提供了一个结构来确定你想要保留的内容和你可以放弃的内容,以及重新设计作业和教学大纲的技巧,以明确你对学生的教学方法,减少学术不端行为。
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引用次数: 0
The Learning Power of Testing 测试的学习力
IF 0.4 Q3 LAW Pub Date : 2024-02-08 DOI: 10.1111/jlse.12140
Richard G. Kunkel J.D.

For many professors, testing is primarily a tool for assessing the learning of students. However, research into the “testing effect” has established the value of testing also as a learning tool, not just as an assessment tool. This article provides an overview of this research and also of my own experiences in using a variety of testing approaches. Based on these experiences, the article offers a process for adopting testing as a learning tool, along with a review of design choices. By increasing their use of testing in business law instruction, business law professors will improve learning.

对许多教授来说,考试主要是一种评估学生学习情况的工具。然而,对 "测试效应 "的研究已经证实,测试也是一种学习工具,而不仅仅是一种评估工具。本文概述了这一研究,并介绍了我自己使用各种测试方法的经验。在这些经验的基础上,文章提供了将测试作为学习工具的过程,以及对设计选择的回顾。通过在商法教学中更多地使用测试,商法教授将提高学习效果。
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引用次数: 0
Artificial Intelligence: The Future of Pedagogy 人工智能:教育学的未来
IF 0.4 Q3 LAW Pub Date : 2024-02-01 DOI: 10.1111/jlse.12146
Brandon Mattalo

While it is important to research the negative impact of generative artificial intelligence on academic integrity, academics should focus most of their efforts on the opportunities these technologies present for improving pedagogical practices. In this note, I attempt to flip the narrative from one of fear to one of opportunity. I suggest that academics should research the use of generative AI to improve teaching effectiveness and efficiency. I offer various practical suggestions on how these tools can be used to advance pedagogical practices, with specific business law examples.

研究生成式人工智能对学术诚信的负面影响固然重要,但学术界应将大部分精力放在这些技术为改进教学实践带来的机遇上。在本说明中,我试图将人们的担忧转变为机遇。我建议学术界研究如何利用生成式人工智能来提高教学效果和效率。我以具体的商法为例,就如何利用这些工具推进教学实践提出了各种实用建议。
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引用次数: 0
ChatGPT: The Sky is Not Falling ChatGPT:天不会塌下来
IF 0.4 Q3 LAW Pub Date : 2024-01-30 DOI: 10.1111/jlse.12145
Jordan M. Blanke

Generative artificial intelligence (generative AI) applications such as ChatGPT and its brethren erupted onto the scene last year and have been quite a disruptor throughout higher education. Like much new technology, generative AI brings with it benefits and challenges. This note focuses on early experiences with ChatGPT, attempts to learn how to use it, and possible changes needed for our assessment methodologies. I provide some suggested modifications to traditional assignments to adapt to generative AI's ubiquity.

生成式人工智能(Generative AI)应用,如 ChatGPT 及其同类产品,在去年一经推出,就在整个高等教育领域掀起了一场不小的变革。与许多新技术一样,生成式人工智能也带来了好处和挑战。本说明重点介绍了使用 ChatGPT 的早期经验、学习如何使用 ChatGPT 的尝试,以及我们的评估方法可能需要做出的改变。我对传统作业提出了一些修改建议,以适应生成式人工智能的普遍性。
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引用次数: 0
The Equal Pay Act: Using EEOC v. Verona Area School District in the Classroom 同工同酬法案》:在课堂上使用 EEOC 诉 Verona 地区学区案
IF 0.4 Q3 LAW Pub Date : 2024-01-30 DOI: 10.1111/jlse.12139
Raygan Pierce Chain, Michael Conklin

This article provides instructions for an engaging classroom activity when discussing the Equal Pay Act of 1963. Students are asked to consider how to approach pay decisions when hiring a new employee for their business. Issues arise when the new hire asks for a higher wage than a current employee of a different sex. Legal Environment of Business/Business Law, Business Communication, and Business Ethics are all tied together in a discussion of what it means to pay someone more or less money based on their sex.

本文介绍了在讨论 1963 年《同工同酬法》时如何开展有吸引力的课堂活动。要求学生考虑在为企业雇用新员工时如何做出薪酬决定。当新员工要求的工资高于不同性别的现有员工时,就会出现问题。商业的法律环境/商业法、商业沟通和商业道德在讨论根据某人的性别支付更多或更少的工资意味着什么的过程中结合在一起。
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Journal of Legal Studies Education
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