Argument Visualization for Eparticipation: Towards a Research Agenda and Prototype Tool
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The Impact of Guided Practice in Argument Analysis And
University of South Carolina Scholar Commons Theses and Dissertations Summer 2020 The Impact of Guided Practice in Argument Analysis and Composition via Computer-Assisted Argument Mapping Software on Students’ Ability to Analyze and Compose Evidence-Based Arguments Donna Lorain Grant Follow this and additional works at: https://scholarcommons.sc.edu/etd Part of the Curriculum and Instruction Commons Recommended Citation Grant, D. L.(2020). The Impact of Guided Practice in Argument Analysis and Composition via Computer- Assisted Argument Mapping Software on Students’ Ability to Analyze and Compose Evidence-Based Arguments. (Doctoral dissertation). Retrieved from https://scholarcommons.sc.edu/etd/6079 This Open Access Dissertation is brought to you by Scholar Commons. It has been accepted for inclusion in Theses and Dissertations by an authorized administrator of Scholar Commons. For more information, please contact [email protected]. THE IMPACT OF GUIDED PRACTICE IN ARGUMENT ANALYSIS AND COMPOSITION VIA COMPUTER -ASSISTED ARGUMENT MAPPING SOFTWARE ON STUDENTS’ ABILITY TO ANALYZE AND COMPOSE EVIDENCE -BASED ARGUMENTS by Donna Lorain Grant Bachelor of Arts University of South Carolina—Upstate, 2000 Master of Education Converse College, 2007 Submitted in Partial Fulfillment of the Requirements For the Degree of Doctor of Education in Curriculum and Instruction College of Education University of South Carolina 2020 Accepted by: Rhonda Jeffries , Major Professor Yasha Becton, Committee Member Leigh D’Amico, Committee Member Kamania Wynter-Hoyte, Committee Member Cheryl L. Addy, Vice Provost and Dean of the Graduate School © Copyright by Donna Lorain Grant, 2020 All Rights Reserved. ii DEDICATION To my Lord and Savior, Jesus Christ who made me for a purpose and graced me with the ability to fulfill it To my father, Donald B. -
Document Management System Design Architecture for Interdepartmental Organization
Date September 2009 Page/of 1/487 Document Management System design architecture for interdepartmental organization H. Safari Asl 1063405 Y.F. Tang 1107860 Master Thesis Honeywell B.V & Department: Information Architecture Faculty: Electrical Engineering, Mathematics and Computer Science, Delft University of Technology Date: September 2009 Date September 2009 Page/of 2/487 Document Management System design architecture for interdepartmental organization Authors: H. Safari Asl, BSc, Student nr: 1063405, Email: [email protected] Y.F. Tang, BSc, Student nr: 1107860, Email: [email protected] MSc presentation: 16 December 2009 Graduation committee Prof.dr.ir. J. L.G. Dietz(Chair) Electrical Engineering, Mathematics and Computer Science Department 2: Software Technology Web Information Systems Dr.ir. Jan van den Berg(Member) Technology, Policy and Management Infrastructures, Systems and Services Section Information & Communication Ir. Bernard Sodoyer(Supervisor) Electrical Engineering, Mathematics and Computer Science Department 2: Software Technology Web Information Systems Date September 2009 Page/of 3/487 Table of Contents List of tables .......................................................................................................................................... 4 List of figures ......................................................................................................................................... 5 List of appendix ..................................................................................................................................... -
The Potential of Argument Mapping As a Tool for Teaching Critical Thinking in Secondary School
Linköping University | Department of Computer and Information Science Master thesis, 30 ECTS | Cognitive Science 2018 | LIU-IDA/KOGVET-A--18/002--SE The Potential of Argument Mapping as a Tool for Teaching Critical Thinking in Secondary School Potentialen av argument mapping som ett verktyg för att undervisa kritiskt tänkande i högstadiet Tim Lidåker Supervisor : Annika Silvervarg Examiner : Arne Jönsson Linköpings universitet SE–581 83 Linköping +46 13 28 10 00 , www.liu.se Copyright The publishers will keep this document online on the Internet – or its possible replacement – for a period of 25 years starting from the date of publication barring exceptional circum- stances. The online availability of the document implies permanent permission for anyone to read, to download, or to print out single copies for his/hers own use and to use it unchanged for non-commercial research and educational purpose. Subsequent transfers of copyright cannot revoke this permission. All other uses of the document are conditional upon the con- sent of the copyright owner. The publisher has taken technical and administrative measures to assure authenticity, security and accessibility. According to intellectual property law the author has the right to be mentioned when his/her work is accessed as described above and to be protected against infringement. For additional information about the Linköping Uni- versity Electronic Press and its procedures for publication and for assurance of document integrity, please refer to its www home page: http://www.ep.liu.se/. Upphovsrätt Detta dokument hålls tillgängligt på Internet – eller dess framtida ersättare – under 25 år från publiceringsdatum under förutsättning att inga extraordinära omständigheter uppstår. -
Mapping the Structure of Debate
Mapping the Structure of Debate JEFFREY YOSHIMI University a/California, Merced Abstract:Although debate is a richly struc Resume: Bien que Ie debat soit un type de tured and prevalent form of discourse, it has discours repandu et structurellement riche, il received little scholarly attention. Logicians a refYu peu d' attention savante. Les logiciens have focused on the structure of individual ont mis au point la microstructure arguments-how they divide into premises d'arguments particuliers: ils ont distingue les and conclusions, which in turn divide into premisses des conclusions et ensuite ont various constituents. In contrast, I focus on identifie divers elements qui constituent les the structure of sets of arguments, showing premisses et les conclusions. Par contraste how arguments are themselves constituents avec cette approche, je mets au point la in high-level dialectical structures. I represent macrostructure d'ensemble d'arguments et debates and positions by graphs whose ver demontre comment les arguments sont eux tices correspond to arguments and whose memes des elements composant des edges correspond to two inter-argument re structures dialectiques. l' emploie des lations: "dispute" and "support," respec graphiques pour representer les debats, les tively. On this basis I develop a theory of positions dans ceux-ci, les desaccords et the structure of debate. I'appui. Je developpe une theorie de debat a partir de ces representations. Keywords: debate, argumentation analysis, argument diagrams, argument visualization, dialectics, discourse analysis. 1. Introduction From 1992 to 1997, I took part in a project mapping out the artificial intelligence debate (Hom, Yoshimi, Deering, & McBride, 1998).1 It was a daunting effort. -
Typology of Free Web-Based Learning Technologies (2020)
Typology of Free Web-based Learning Technologies (2020) Matt Bower Jodie Torrington Macquarie University, Australia Macquarie University, Australia E: [email protected] E: [email protected] Tw: @mattgbower Tw: @jtorro1 [The original 2015 Typology of Web 2.0 Technologies is available from the Educause website at https://library.educause.edu/resources/2015/2/a-typology-of-web-20-learning-technologies ] Abstract The Typology of Free Web-based Learning Technologies (2020) provides educators with a list of 226 technologies arranged into 40 types and 15 clusters that can be used via a browser to promote more productive and interactive learning. The 2020 Typology constitutes an update to the previously published Typology of Web 2.0 Learning Technologies (Bower, 2015), which was also based on a systematic search and categorical analysis (see Bower, 2016, for methodology). This 2020 Typology of Free Web-based Learning Technologies returns to the original analysis to remove tools that are no longer available and add new tools and categories that have entered the online learning ecosystem. Based on these emerging tools, new categorical types and clusters have also been added. Brief descriptions, example tools and pedagogical uses were provided for each category, in order to support ease of conceptualization and application. The analysis makes it possible to gauge trends in online learning technologies over the last five years, for instance the unsustainability of many smaller tools, the marketisation of many others, the trend towards more integrated platforms of tools, and greater dominance by larger providers. The paper concludes by inferring future trends in the online learning technology landscape. -
Online Research Tools
Online Research Tools A White Paper Alphabetical URL DataSet Link Compilation By Marcus P. Zillman, M.S., A.M.H.A. Executive Director – Virtual Private Library [email protected] Online Research Tools is a white paper link compilation of various online tools that will aid your research and searching of the Internet. These tools come in all types and descriptions and many are web applications without the need to download software to your computer. This white paper link compilation is constantly updated and is available online in the Research Tools section of the Virtual Private Library’s Subject Tracer™ Information Blog: http://www.ResearchResources.info/ If you know of other online research tools both free and fee based feel free to contact me so I may place them in this ongoing work as the goal is to make research and searching more efficient and productive both for the professional as well as the lay person. Figure 1: Research Resources – Online Research Tools 1 Online Research Tools – A White Paper Alpabetical URL DataSet Link Compilation [Updated: August 26, 2013] http://www.OnlineResearchTools.info/ [email protected] eVoice: 800-858-1462 © 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013 Marcus P. Zillman, M.S., A.M.H.A. Online Research Tools: 12VPN - Unblock Websites and Improve Privacy http://12vpn.com/ 123Do – Simple Task Queues To Help Your Work Flow http://iqdo.com/ 15Five - Know the Pulse of Your Company http://www.15five.com/ 1000 Genomes - A Deep Catalog of Human Genetic Variation http://www.1000genomes.org/ -
Using Argumentation Schemes to Find Motives and Intentions of a Rational
Argument & Computation 10 (2019) 233–275 233 DOI 10.3233/AAC-190480 IOS Press Using argumentation schemes to find motives and intentions of a rational agent Douglas Walton † Centre for Research on Reasoning, Argumentation and Rhetoric, University of Windsor, Windsor, Canada Abstract. Because motives and intentions are internal, and not directly observable by another agent, it has always been a problem to find a pathway of reasoning linking them to externally observable evidence. This paper proposes an argumentation- based method that one can use to support or attack hypotheses about the motives or intentions of an intelligent autonomous agent based on verifiable evidence. The method is based on a dialectical argumentation approach along with a commitment-based theory of mind. It is implemented using the Carneades Argumentation System, which already has 106 programmed schemes available to it and has an argument search tool. The method uses schemes, notably ones for abductive reasoning, argument from action to intention, argument from action to motive, and some new ones. Keywords: Multiagent systems, evidential reasoning in law, finding intentions, artificial intelligence 1. Introduction Research on intention recognition carried out in computer science for over thirty years has addressed the problem of identifying the intentions of an intelligent autonomous agent based on evidence from the agent’s environment, including its known actions. As shown in Section 2, some researchers in this area have devised computational systems that use abductive reasoning to support evidence-based conjectures about an automated agent’s intentions. A comparable problem in the study of intelligent autonomous agents arises for goals and motives. -
Boundary Infrastructures for IBIS Federation: Design Rationale, Implementation, and Evaluation
Boundary Infrastructures for IBIS Federation: Design Rationale, Implementation, and Evaluation Technical Report KMI-10-01 January 2010 Jack Park Park, J. (2010). Boundary Infrastructures for IBIS Federation: Design Rationale, Implementation, and Evaluation. Thesis Proposal, available as: Technical Report1 KMI -10-01, Knowledge Media Institute, The Open University, UK. http://kmi.open.ac.uk/publications/pdf/kmi-10-01.pdf 2 Boundary Infrastructures for IBIS Federation: Design Rationale, Implementation, and Evaluation Thesis Proposal for KMI Doctoral Program December 2009 John Bartlett (Jack) Park II Student ID: Y6508120 [email protected] Supervisors: Dr. Simon Buckingham Shum Dr. Clara Mancini Prof. Geoffrey Bowker 3 Table of Contents Boundary Infrastructures for IBIS Federation: Design Rationale, Implementation, and Evaluation ........... 7 Abstract ................................................................................................................................................... 7 1.0 Introduction ....................................................................................................................................... 7 1.1 A Research Context............................................................................................................................ 9 1.2 Problem Statement.......................................................................................................................... 14 1.3 Thesis Statement ............................................................................................................................ -
Concept Mapping, Mind Mapping and Argument Mapping: What Are the Differences and Do They Matter?
Concept Mapping, Mind Mapping and Argument Mapping: What are the Differences and Do They Matter? W. Martin Davies The University of Melbourne, Australia [email protected] Abstract: In recent years, academics and educators have begun to use software mapping tools for a number of education-related purposes. Typically, the tools are used to help impart critical and analytical skills to students, to enable students to see relationships between concepts, and also as a method of assessment. The common feature of all these tools is the use of diagrammatic relationships of various kinds in preference to written or verbal descriptions. Pictures and structured diagrams are thought to be more comprehensible than just words, and a clearer way to illustrate understanding of complex topics. Variants of these tools are available under different names: “concept mapping”, “mind mapping” and “argument mapping”. Sometimes these terms are used synonymously. However, as this paper will demonstrate, there are clear differences in each of these mapping tools. This paper offers an outline of the various types of tool available and their advantages and disadvantages. It argues that the choice of mapping tool largely depends on the purpose or aim for which the tool is used and that the tools may well be converging to offer educators as yet unrealised and potentially complementary functions. Keywords: Concept mapping, mind mapping, computer-aided argument mapping, critical thinking, argument, inference-making, knowledge mapping. 1. INTRODUCTION The era of computer-aided mapping tools is well and truly here. In the past five to ten years, a variety of software packages have been developed that enable the visual display of information, concepts and relations between ideas. -
Argument Maps Improve Critical Thinking
Teaching Philosophy, 27:2, June 2004 95 Argument Maps Improve Critical Thinking CHARLES TWARDY Monash University I’ve been skeptical about claims for various approaches to teaching critical thinking, including those for argument maps coming from nearby University of Melbourne. Indeed, confident in our skepticism, we at Monash Philosophy accepted a challenge to compare our meth- ods with theirs on pre- and post-test gains on the California Critical Thinking Skills Test (CCTST) developed by Peter Facione (1990, 1992). The Monash students did a bit better than theirs on the pre-test, raising our hopes. But when Melbourne University’s post-test results showed far higher performance gains, I thought their method worth a closer look. In short, I think computer-based argument mapping is the key to Melbourne’s success, and that it should feature centrally in any critical thinking course. In fact, it is useful quite beyond critical thinking courses. I will describe the method, my experiences with it, and the results. Introduction Being soundly trounced on improvement scores only convinced us that something over there was working. I thought the approach was fine, and argument maps were certainly helpful, but suspected that most of the gains were due to founder effect: the Melbourne teacher (Tim van Gelder) developed the Reason! approach to critical thinking, the Reason!Able software,1 and the course materials used at Melbourne. In addition, he had been the sole teacher since they adopted this ap- proach, so it was very likely that a lot of the result was because of his founder’s enthusiasm, a well-known effect in education. -
Step by Step Argument Map in Learning Environments: an Example of the Subject of Lenses1
Online Science Education Journal, 2018; 3(2): 15-25. Online Fen Eğitimi Dergisi, 2018; 3(2): 15-25. Step by Step Argument Map in Learning Environments: An Example of the Subject of Lenses1 Büşra Nur ÇAKAN AKKAŞ, Graduate School of Natural and Applied Science, Kastamonu University, Turkey, [email protected] Elif SÖNMEZ, Department of Primary Education, Kastamonu University, Turkey, [email protected] Esra KABATAŞ MEMİŞ, Department of Mathematics and Science Education, Kastamonu University, Turkey, [email protected] To refer to this article Çakan Akkaş, B. N., Sönmez E., & Kabataş Memiş, E. (2018). Step by step argument map in learning environments: An example of the subject of lenses. Online Science Education Journal, 3(2): 15-25. ABSTRACT Argument is defined as a whole of claim that have presumptive relationships with each other. Argument map, on the other hand, is used in visually presenting arguments that have a presumptive structure with the help of graphical techniques. Argument maps help individuals to visualize and evaluate reasoning processes. In learning environments, argument mapping helps to establish connections between the data and think at a higher level. The purpose of the study is to enable preservice science teachers to create individual and interactive argument maps using the RationaleTM program within the scope of the subject of lenses. Argument mapping process was realized on the basis of “RationaleTM”, which is an online computer program. The aforementioned program allows us to examine argument maps that are taught in the subtopic of “Lenses” in the subject of “Optic” at higher education level. Also, discussions were made concerning how to use argument mapping in learning environments and examples of relevant argument maps were presented within the scope of the study. -
A Brief Guide to Argument Mapping
A Brief Guide to Argument Mapping Shamik Dasgupta January 15, 2018 1. Introduction We all have opinions and views. Sometimes we support our views with arguments. By an argument I mean a reason to believe the view in question. Argument maps are visual representations of these arguments. Suppose you believe that it’s wrong to eat meat, and you support your view with the following speech: “Look, it’s wrong to eat meat. Why? Because eating meat causes animal pain, and it’s wrong to cause animal pain.” Congratulations, you just gave an argument! We can represent the argument visually as follows: Map 1: The claim at the top, “It’s wrong to eat meat”, is called the contention. It’s the claim that the argument tries to support. The other claims, 1A-a and 1A-b, are called premises. They’re the reasons offered in support of the contention; they’re the reason to believe the contention. The green line represents this idea that 1A-a and 1A-b support the contention. The line can be read as “because” or “therefore”, depending on whether you’re reading the argument map top-down or bottom up: Top-down: It’s wrong to eat meat because eating meat causes animal pain and it’s wrong to cause animal pain. Bottom-up: Eating meat causes animal pain and it’s wrong to cause animal pain. Therefore, it’s wrong to eat meat. That’s the basic idea: every argument map consists of a contention, some premises, and lines of support. Constructing argument maps is an extremely valuable skill.