Arts and Humanities Commons^™

Designing Analog Learning Games: Genre Affordances, Limitations And Multi-Game Approaches, Owen Gottlieb, Ian Schreiber

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This chapter explores what the authors discovered about analog games and game design during the many iterative processes that have led to the Lost & Found series, and how they found certain constraints and affordances (that which an artifact assists, promotes or allows) provided by the boardgame genre. Some findings were counter-intuitive. What choices would allow for the modeling of complex systems, such as legal and economic systems? What choices would allow for gameplay within the time of a class-period? What mechanics could promote discussions of tradeoff decisions? If players are expending too much cognition on arithmetic strategizing, could that …

Acts Of Meaning, Resource Diagrams, And Essential Learning Behaviors: The Design Evolution Of Lost & Found, Owen Gottlieb, Ian Schreiber

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Lost & Found is a tabletop-to-mobile game series designed for teaching medieval religious legal systems. The long-term goals of the project are to change the discourse around religious laws, such as foregrounding the prosocial aspects of religious law such as collaboration, cooperation, and communal sustainability. This design case focuses on the evolution of the design of the mechanics and core systems in the first two tabletop games in the series, informed by over three and a half years’ worth of design notes, playable prototypes, outside design consultations, internal design reviews, playtests, and interviews.

Automatically Extracting Meaning From Legal Texts: Opportunities And Challenges, Kevin D. Ashley

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This paper examines impressive new applications of legal text analytics in automated contract review, litigation support, conceptual legal information retrieval, and legal question answering against the backdrop of some pressing technological constraints. First, artificial intelligence (Al) programs cannot read legal texts like lawyers can. Using statistical methods, Al can only extract some semantic information from legal texts. For example, it can use the extracted meanings to improve retrieval and ranking, but it cannot yet extract legal rules in logical form from statutory texts. Second, machine learning (ML) may yield answers, but it cannot explain its answers to legal questions or …

Using Ai To Analyze Patent Claim Indefiniteness, Dean Alderucci, Kevin D. Ashley

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In this Article, we describe how to use artificial intelligence (AI) techniques to partially automate a type of legal analysis, determining whether a patent claim satisfies the definiteness requirement. Although fully automating such a high-level cognitive task is well beyond state-of-the-art AI, we show that AI can nevertheless assist the decision maker in making this determination. Specifically, the use of custom AI technology can aid the decision maker by (1) mining patent text to rapidly bring relevant information to the decision maker attention, and (2) suggesting simple inferences that can be drawn from that information.

We begin by summarizing the …

Finding Lost & Found: Designer’S Notes From The Process Of Creating A Jewish Game For Learning, Owen Gottlieb

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This article provides context for and examines aspects of the design process of a game for learning. Lost & Found (2017a, 2017b) is a tabletop-to-mobile game series designed to teach medieval religious legal systems, beginning with Moses Maimonides’ Mishneh Torah (1180), a cornerstone work of Jewish legal rabbinic literature. Through design narratives, the article demonstrates the complex design decisions faced by the team as they balance the needs of player engagement with learning goals. In the process the designers confront challenges in developing winstates and in working with complex resource management. The article provides insight into the pathways the team …

Introduction: Jewish Gamevironments – Exploring Understanding With Playful Systems, Owen Gottlieb

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The study of Judaism, Jewish civilizationi, and games is currently comprised of projects of a rather small set of game scholars. A sample of our work is included in this issue.

Time Travel, Labour History, And The Null Curriculum: New Design Knowledge For Mobile Augmented Reality History Games, Owen Gottlieb

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This paper presents a case study drawn from design-based research (DBR) on a mobile, place-based augmented reality history game. Using DBR methods, the game was developed by the author as a history learning intervention for fifth to seventh graders. The game is built upon historical narratives of disenfranchised populations that are seldom taught, those typically relegated to the 'null curriculum'. These narratives include the stories of women immigrant labour leaders in the early twentieth century, more than a decade before suffrage. The project understands the purpose of history education as the preparation of informed citizens. In paying particular attention to …

Design-Based Research Mobile Gaming For Learning Jewish History, Tikkun Olam, And Civics, Owen Gottlieb

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How can Design-Based Research (DBR) be used in the study of video games, religious literacy, and learning? DBR uses a variety of pragmatically selected mixed methods approaches to design learning interventions. Researchers, working with educators and learners, design and co-design learning artifacts and environments. They analyze those artifacts and environments as they are used by educators and learners, and then iterate based on mixed methods data analysis. DBR is suited for any "rich contextualized setting in which people have agency." (Hoadley 2013) such as formal or informal learning environments.

The case covered in this chapter is a mobile Augmented Reality …

Teaching Law And Digital Age Legal Practice With An Ai And Law Seminar: Justice, Lawyering And Legal Education In The Digital Age, Kevin D. Ashley

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A seminar on Artificial Intelligence ("Al") and Law can teach law students lessons about legal reasoning and legal practice in the digital age. Al and Law is a subfield of Al/computer science research that focuses on designing computer programs—computational models—that perform legal reasoning. These computational models are used in building tools to assist in legal practice and pedagogy and in studying legal reasoning in order to contribute to cognitive science and jurisprudence. Today, subject to a number of qualifications, computer programs can reason with legal rules, apply legal precedents, and even argue like a legal advocate.

This article provides a …

Assessing A Young Writer’S Story, Julie Patterson

Articles

Now that's a story! Find out what this 1st grader is doing well and what our writer-in-residence would teach next.

Computer-Supported Peer Review In A Law School Context, Kevin D. Ashley, Ilya Goldin

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Legal instructors have been urged to incorporate peer reviewing into law school courses as a way to provide students much needed feedback. Peer review can benefit legal education, but only if law school instructors adopt peer review on a large scale, and for that, computer-supported peer review systems are crucial. These web-based systems orchestrate the mechanics of students submitting written assignments on-line and distributing them to other students for anonymous review, making it considerably easier for instructors to manage.

Beyond the problem of orchestrating mechanics, however, a deeper obstacle to widespread acceptance of peer review in legal education is the …

Capturing The Dialectic Between Principles And Cases, Kevin D. Ashley

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Theorists in ethics and law posit a dialectical relationship between principles and cases; abstract principles both inform and are informed by the decisions of specific cases. Until recently, however, it has not been possible to investigate or confirm this relationship empirically. This work involves a systematic study of a set of ethics cases written by a professional association's board of ethical review. Like judges, the board explains its decisions in opinions. It applies normative standards, namely principles from a code of ethics, and cites past cases. We hypothesized that the board's explanations of its decisions elaborated upon the meaning and …

Designing Electronic Casebooks That Talk Back: The Cato Program, Kevin D. Ashley

Articles

Electronic casebooks offer important benefits of flexibility in control of presentation, connectivity, and interactivity. These additional degrees of freedom, however, also threaten to overwhelm students. If casebook authors and instructors are to achieve their pedagogical goals, they will need new methods for guiding students. This paper presents three such methods developed in an intelligent tutoring environment for engaging students in legal role-playing, making abstract concepts explicit and manipulable, and supporting pedagogical dialogues. This environment is built around a program known as CATO, which employs artificial intelligence techniques to teach first-year law students how to make basic legal arguments with cases. …