The document discusses tool selection strategies for using software-based visualization in technical academic writing. It describes how argument and information structures can be difficult for non-native English speakers. Mind maps, concept maps, and rhetorical structure diagrams are promising tools that utilize visual metaphors to support novice technical writers. However, mapping software is often marketed without discussing how to select the appropriate map type or software for a given writing task. The document outlines a strategic pathway for choosing mapping tools based on the writing task, taking into account different map types, software designs, and information structures.
Tool selection for argument visualizationLawrie Hunter
Tool selection strategy for software-based visualization in technical academic argument work
Lawrie Hunter, Kochi University of Technology, Japan
Logic and argument have proven to be significant obstacles to second language English academic writing success, markedly so for research students from East Asian cultures. The technical research paper is a masked facsimile of an argument; thus novice technical academic writing tends to be formulaic, following document structure rather than argument structure. In this frame, novice writing of abstracts is problematic at the design level.
Linear text is not a particularly supportive medium for technical academic argument work. Relations between concepts can be marked in text by rhetorical signals, but the conceptual load economies of visualization are not available. Mind maps, concept maps and rhetorical structure maps, which all embody a number of visual metaphors, are promising tools for the support of novice technical academic argument work.
Software embodiments of the above mapping types are usually marketed without discussion of the information-structure related choices involved in the selection of map type and software. This paper, referring to Hunter's (2009) decision matrix, presents a negotiated strategic pathway to the selection of map type and software for technical academic writing task, taking the example of inferred argument of an informally reported study. Reference points in this pathway include Toulmin (1958), Cañas & Novak (2006) and Kowalski (2011).
Cañas, A. J., & Novak, J.D. (2006) Re-examining the foundations for effective use of concept maps. In Cañas, A. J., & Novak, J.D. (Eds.), Concept Maps: Theory, Methodology, Technology. Proceedings of the Second International Conference on Concept Mapping.
Hunter, L. (2009) A Decision Matrix for the Use of Mapping and Mapping Software. Presented at EuroCALL 2009. http://www.lawriehunter.com/presns/eurocall09/
Kowalski, R. (2011) Computational logic and human thinking. Cambridge UP.
Toulmin, S. (1958) The Uses of Argument, Cambridge University Press.
Course developed by Dr. Joan E. Hughes at The University of Texas at Austin
The purpose of this class is to introduce you to the theories, assumptions, and practices underlying the use of qualitative research in education. In the tradition of survey courses, this class examines the broad history, concepts, and themes that distinguish multiple methods of qualitative research, specifically as they relate to education research. Students will study, practice, and reflect on different qualitative research methodologies and consider the components and challenges faced when engaging in qualitative research methods. Each student will design and conduct his/her own qualitative study. Issues related to data collection, negotiating access to the field, ethics, and representation will be of particular importance. While it is not assumed that you will gain a comprehensive, rich understanding of any one particular qualitative research tradition over the trajectory of the course, it is expected that upon completion you will acquire the foundational knowledge and experience to begin evaluating, selecting, and defending appropriate qualitative methods for use in your own future research projects.
Goals:
1. Understand historical background and fundamental tenets of qualitative research.
2. Understand ethical issues within qualitative research.
3. Develop a researchable question.
4. Identify the limits and affordances of qualitative research designs.
5. Develop a beginning awareness of qualitative inquiry approaches, including ethnography, case studies, narrative, postmodern, critical, and basic interpretive.
6. Engage in qualitative research activities, including: field observations, interview, coding, analysis, and report writing.
This document discusses technical writing for research articles. It covers publication requirements, types of publications including theses, conference papers, and journal articles. It provides examples of important journals and conferences in different technical fields. The document outlines how to plan and structure a research paper, including choosing a title, writing an abstract and keywords, and organizing the paper. It also provides writing tips to effectively communicate research results to readers.
Workshop
[Delivered at joint 8th International Conference on ESP in Asia and 3rd International Symposium on Innovative Teaching and Research in ESP, UEC, Tokyo. August 21, 2016]
In presentations, particularly during conference presentation Q&A, sci-tech EAP learners often prove unable to distil the underlying intentions of their research design or to identify the argument(s) surrounding their claim and the generalizability of their results.
These EAP learners usually have little training in rhetorical orchestration, especially since their research papers are built on the IMRAD structure, a rather poor metaphor for argument. As a result, these learners find spontaneous oral explanation and argument summarization difficult.
This workshop introduces the operation of a structured, low-text approach which has produced consistent, rapid development of the foundation target skills (argument analysis, argument construction) in classroom application (masters and PhD level). The key tool in this approach is the cross-platform freeware CmapTools, now widely adopted in science education. CmapTools automatically generates Novakian maps (maps in which each link is articulated by a relation phrase). Learners find these maps easy to evaluate in terms of correctness of relations and shockingly accessible in terms of structure of information.
This workshop begins with an overview of current styles of concept visualization (and their attendant syntax and information structures) so as to give participants a broad practical overview of mapping practice today. Participants will then be introduced to the use of CmapTools, and will take part in guided model task performance.
The workshop activities will be low-tech (post-its and marker pens) to maximize accessibility.
However, participants who would like to 'lean in' on this skill set are encouraged to download Cmap Tools to their laptops (Mac, Win or Linux) or iPads, familiarize themselves with the basic functions of the software (takes about 15 minutes), and show up equipped for bigger-curve learning.
Contextual Inquiry: How Ethnographic Research can Impact the UX of Your WebsiteRachel Vacek
Ethnographic research methods like contextual inquiry were used to understand user experiences of the university library website. Contextual interviews were conducted with students, faculty, and staff, followed by interpretation sessions to analyze the data. This involved creating sequence models of user tasks, affinity diagrams to group themes, and personas. The goal was to gain insights into how users work in order to design services and a website that better meet their needs. Challenges included the time and resources required, but advantages were an in-depth understanding of users and their research processes to inform improvements.
This document provides an overview of ethnographic research methods used in product design. It defines ethnography as the study and recording of human cultures through observations, interviews, and analysis of data collected in natural settings. The document discusses types of ethnographic research and methods, including detailed observations, unstructured interviews, experience sampling, and contextual inquiry. It also outlines the stages of ethnographic data collection and describes observational data collection methods. Finally, it discusses how ethnography is used to gain insights into user behaviors and experiences to inform product design.
This document provides a summary of Satanjeev Banerjee's education, work experience, areas of research interest, publications, software projects, and references. It details his PhD studies in language technologies at Carnegie Mellon University, as well as his master's degrees from CMU and the University of Minnesota Duluth. His work experience includes research assistantships at CMU working on topics like speech summarization and meeting understanding. He has numerous publications in these areas and has developed software like the SmartNotes meeting recording system and the METEOR machine translation evaluation metric.
Tool selection for argument visualizationLawrie Hunter
Tool selection strategy for software-based visualization in technical academic argument work
Lawrie Hunter, Kochi University of Technology, Japan
Logic and argument have proven to be significant obstacles to second language English academic writing success, markedly so for research students from East Asian cultures. The technical research paper is a masked facsimile of an argument; thus novice technical academic writing tends to be formulaic, following document structure rather than argument structure. In this frame, novice writing of abstracts is problematic at the design level.
Linear text is not a particularly supportive medium for technical academic argument work. Relations between concepts can be marked in text by rhetorical signals, but the conceptual load economies of visualization are not available. Mind maps, concept maps and rhetorical structure maps, which all embody a number of visual metaphors, are promising tools for the support of novice technical academic argument work.
Software embodiments of the above mapping types are usually marketed without discussion of the information-structure related choices involved in the selection of map type and software. This paper, referring to Hunter's (2009) decision matrix, presents a negotiated strategic pathway to the selection of map type and software for technical academic writing task, taking the example of inferred argument of an informally reported study. Reference points in this pathway include Toulmin (1958), Cañas & Novak (2006) and Kowalski (2011).
Cañas, A. J., & Novak, J.D. (2006) Re-examining the foundations for effective use of concept maps. In Cañas, A. J., & Novak, J.D. (Eds.), Concept Maps: Theory, Methodology, Technology. Proceedings of the Second International Conference on Concept Mapping.
Hunter, L. (2009) A Decision Matrix for the Use of Mapping and Mapping Software. Presented at EuroCALL 2009. http://www.lawriehunter.com/presns/eurocall09/
Kowalski, R. (2011) Computational logic and human thinking. Cambridge UP.
Toulmin, S. (1958) The Uses of Argument, Cambridge University Press.
Course developed by Dr. Joan E. Hughes at The University of Texas at Austin
The purpose of this class is to introduce you to the theories, assumptions, and practices underlying the use of qualitative research in education. In the tradition of survey courses, this class examines the broad history, concepts, and themes that distinguish multiple methods of qualitative research, specifically as they relate to education research. Students will study, practice, and reflect on different qualitative research methodologies and consider the components and challenges faced when engaging in qualitative research methods. Each student will design and conduct his/her own qualitative study. Issues related to data collection, negotiating access to the field, ethics, and representation will be of particular importance. While it is not assumed that you will gain a comprehensive, rich understanding of any one particular qualitative research tradition over the trajectory of the course, it is expected that upon completion you will acquire the foundational knowledge and experience to begin evaluating, selecting, and defending appropriate qualitative methods for use in your own future research projects.
Goals:
1. Understand historical background and fundamental tenets of qualitative research.
2. Understand ethical issues within qualitative research.
3. Develop a researchable question.
4. Identify the limits and affordances of qualitative research designs.
5. Develop a beginning awareness of qualitative inquiry approaches, including ethnography, case studies, narrative, postmodern, critical, and basic interpretive.
6. Engage in qualitative research activities, including: field observations, interview, coding, analysis, and report writing.
This document discusses technical writing for research articles. It covers publication requirements, types of publications including theses, conference papers, and journal articles. It provides examples of important journals and conferences in different technical fields. The document outlines how to plan and structure a research paper, including choosing a title, writing an abstract and keywords, and organizing the paper. It also provides writing tips to effectively communicate research results to readers.
Workshop
[Delivered at joint 8th International Conference on ESP in Asia and 3rd International Symposium on Innovative Teaching and Research in ESP, UEC, Tokyo. August 21, 2016]
In presentations, particularly during conference presentation Q&A, sci-tech EAP learners often prove unable to distil the underlying intentions of their research design or to identify the argument(s) surrounding their claim and the generalizability of their results.
These EAP learners usually have little training in rhetorical orchestration, especially since their research papers are built on the IMRAD structure, a rather poor metaphor for argument. As a result, these learners find spontaneous oral explanation and argument summarization difficult.
This workshop introduces the operation of a structured, low-text approach which has produced consistent, rapid development of the foundation target skills (argument analysis, argument construction) in classroom application (masters and PhD level). The key tool in this approach is the cross-platform freeware CmapTools, now widely adopted in science education. CmapTools automatically generates Novakian maps (maps in which each link is articulated by a relation phrase). Learners find these maps easy to evaluate in terms of correctness of relations and shockingly accessible in terms of structure of information.
This workshop begins with an overview of current styles of concept visualization (and their attendant syntax and information structures) so as to give participants a broad practical overview of mapping practice today. Participants will then be introduced to the use of CmapTools, and will take part in guided model task performance.
The workshop activities will be low-tech (post-its and marker pens) to maximize accessibility.
However, participants who would like to 'lean in' on this skill set are encouraged to download Cmap Tools to their laptops (Mac, Win or Linux) or iPads, familiarize themselves with the basic functions of the software (takes about 15 minutes), and show up equipped for bigger-curve learning.
Contextual Inquiry: How Ethnographic Research can Impact the UX of Your WebsiteRachel Vacek
Ethnographic research methods like contextual inquiry were used to understand user experiences of the university library website. Contextual interviews were conducted with students, faculty, and staff, followed by interpretation sessions to analyze the data. This involved creating sequence models of user tasks, affinity diagrams to group themes, and personas. The goal was to gain insights into how users work in order to design services and a website that better meet their needs. Challenges included the time and resources required, but advantages were an in-depth understanding of users and their research processes to inform improvements.
This document provides an overview of ethnographic research methods used in product design. It defines ethnography as the study and recording of human cultures through observations, interviews, and analysis of data collected in natural settings. The document discusses types of ethnographic research and methods, including detailed observations, unstructured interviews, experience sampling, and contextual inquiry. It also outlines the stages of ethnographic data collection and describes observational data collection methods. Finally, it discusses how ethnography is used to gain insights into user behaviors and experiences to inform product design.
This document provides a summary of Satanjeev Banerjee's education, work experience, areas of research interest, publications, software projects, and references. It details his PhD studies in language technologies at Carnegie Mellon University, as well as his master's degrees from CMU and the University of Minnesota Duluth. His work experience includes research assistantships at CMU working on topics like speech summarization and meeting understanding. He has numerous publications in these areas and has developed software like the SmartNotes meeting recording system and the METEOR machine translation evaluation metric.
Quantitative and Digital Skills of International Journalism and Communication...J T "Tom" Johnson
This document summarizes a survey of journalism and communications educators around the world. The survey found that educators lag behind changes in data and technology, making limited use of advanced analytic tools and digital communications. Journalism education focuses more on writing than data analysis. While definitions of journalism are evolving, curricula do not fully reflect changes in how data is processed and used. This disconnect between journalism practice and education could lead to superficial reporting and less relevance for democracy over time.
From TeacherTo assist you with preparing the Week 7 assignment.docxhanneloremccaffery
From Teacher
To assist you with preparing the Week 7 assignment, I am providing a few additional resources. Attached is a slide deck I created on coding textual data, and below are links to a video on coding and an article on identifying themes in qualitative data. Also, some learners find the Week 8 lecture helpful to this assignment, so I have attached it here as well.
As you prepare this assignment, closely follow the directions in the PSY 850 Assignments Document. Because it asks you to inductively code the data, I will expect to see that each of you have developed your own codes and themes. That means do not use the codes and themes from the Clark and Springer (2007) article. However, you should compare and contrast your findings with theirs in the recommendations section.
Submit one paper in APA format with the required subsections delineated in the Assignments Guide: Introduction, Sample, Instruments, Data Analysis, Results, and Recommendations. Include a references list. You must complete all three tables in the Tables for Assignment 7 document and include those tables as an Appendix in your document. Do not submit them as a separate document nor embed them within the text of the paper.
Please use this space to ask additional questions about the assignment.
Thanks and happy coding,
Paula
Video on Coding:
https://www.youtube.com/watch?v=DRL4PF2u9XA
GCU Recommended article on Techniques to Identify Themes in Qualitative Data
http://www.analytictech.com/mb870/Readings/ryan-bernard_techniques_to_identify_themes_in.htm
Attached FilesPSY-850-L8.pdfCoding Textual Data.pptx
Dr. Paula Thompson
Senior Doctoral Adjunct Chair
College of Doctoral Studies
[email protected]
Schedule meetings with me at: http://meetme.so/PaulaThompson
problem12.13
Techniques to Identify Themes in Qualitative Data
Gery W. Ryan
RAND
1700 Main Street
P.O. Box 2138
Santa Monica, CA 90407-2138
H. Russell Bernard
Department of Anthropology
1350 Turlington Hall
University of Florida
Gaineville, FL 32611
Key Words: Theme Identification, Exploratory Analysis, Open Coding, Text Analysis, Qualitative Research Methods
Abstract
Theme identification is one of the most fundamental tasks in qualitative research. It also one of the most mysterious. Explicit descriptions of theme discovery are rarely described in articles and reports and if so are often regulated to appendices or footnotes. Techniques are shared among small groups of social scientists and are often impeded by disciplinary or epistemological boundaries. During the proposal-writing phase of a project, investigators struggle to clearly explain and justify plans for discovering themes. These issues are particularly cogent when funding reviewers are unfamiliar with qualitative traditions. In this article we have outlined a dozen techniques that social scientists have used to discover themes in texts. The techniques are drawn from across epistemological and disciplinary boundaries. They ...
This curriculum vitae summarizes the qualifications of Susan S. Kirschenbaum. She received her PhD in Experimental Psychology from the University of Rhode Island in 1985. Her professional work experience includes over 30 years as a cognitive scientist and engineering psychologist at the Naval Undersea Warfare Center Division Newport. She has extensive experience conducting research on decision making, expertise, training, and human systems integration. She has authored numerous publications in these areas and received several awards for her independent research contributions.
The document discusses guidelines for writing effective scientific papers. It defines research and describes the significance of scientific research papers. Research is defined as a careful, systematic study of a subject using scientific principles to describe, explain and predict phenomena. Publishing research allows sharing findings and building new knowledge, and is important for career advancement. Effective scientific papers have a clear title, abstract, introduction, methodology, results, conclusion and references.
The document discusses data in the context of research. It defines data as a reinterpretable representation of information that can be communicated, interpreted, or processed. Data takes many forms like bits, numbers, text, sounds, images, and physical specimens. The document outlines four main categories of data: observational, computational, experimental, and records. Data sources and types vary across disciplines like the sciences, social sciences, and humanities. For example, scientists may generate their own data or acquire it from repositories, while humanists work with archives, libraries, and published works. Overall, data plays a key role in research as alleged evidence that is analyzed to produce findings and answer research questions.
This research proposal aims to study the problems that can occur when proper software engineering techniques are not consistently applied throughout the development process. The researcher will analyze how using proper modeling, planning, requirements gathering, design, programming, testing, and other techniques can help deliver high-quality, less expensive, and easier to maintain software in a timely manner. In contrast, not using these techniques risks developing low-quality software that goes over budget and is difficult to maintain. The study will review literature on software engineering best practices and the researcher's experience to determine the importance of applying a disciplined, systematic approach using appropriate tools at each stage of development.
NLP Tasks and Applications.ppt useful inKumari Naveen
The document discusses various aspects of the natural language processing (NLP) research community, including conferences, papers, datasets, software, and standard tasks. It notes that most NLP work is published as 9-page conference papers which are presented at major annual conferences like ACL and EMNLP. It describes how the ACL conference had over 2000 attendees pre-COVID and over 3000 papers submitted in 2022, with about 20% accepted. It also outlines different "tracks" at conferences for specialized topics and lists various institutions, datasets, and software in the NLP field.
The document discusses various aspects of the natural language processing (NLP) research community, including conferences, papers, datasets, software, and standard tasks. It notes that most NLP work is published as 9-page conference papers that are presented at major annual conferences like ACL and EMNLP. It describes how the ACL conference had over 2000 attendees pre-COVID and over 3000 papers submitted in 2022, with about 20% accepted. It also outlines different "tracks" at conferences for specialized topics and lists various institutions, datasets, and software in the NLP field.
This paper provides a short analytical critique of the white paper "An Examination of Software Engineering Work Practices" by Singer, Lethbridge, Vinson, and Anquetil. The critique argues that the methodology used in the study has biases and limitations. Specifically, it critiques the small sample size of studying one employee's activities over short sessions, and argues computer-based studies could provide more accurate data on software engineers' work practices. However, it acknowledges the value of the authors' contributions to research in this area. Ultimately, the critique concludes the arguments for dismissing other research methods and claims of success in developing a tool are debatable given weaknesses in the methodology.
This document discusses the importance of technical communication. It notes that technical communication is vital for modern society and provides examples of how poor technical communication, such as ambiguous drawings or prescriptions, can lead to disastrous outcomes. The document then provides guidance on effective technical communication, emphasizing the principles of being brief, clear, and correct. It discusses various forms of technical communication including emails, letters, theses, visual aids, presentations, media interactions, and meetings. Overall, the document stresses the significance of clear and precise technical communication.
This orientation outlines the goals and structure of the REU program. It introduces the stakeholders including NSF who is funding the program. Research is described as focused exploration to spread knowledge. Innovation is discussed as key to economic success. There is a need for more innovation but challenges include lack of training and underrepresentation in STEM fields, especially for women and minorities. The goals are to conduct research and create something new through this opportunity.
Ethnography is a method used in anthropology and other social sciences to study cultures. It involves immersing oneself in a culture to gain a deep understanding of that culture's practices, values and worldview from the perspective of its members. The researcher spends extensive time observing and participating in the daily lives of the culture being studied. The result is a rich description of that culture that provides insight into how its members live and experience the world. Ethnography has also been applied to study software engineering cultures and practices by observing how teams work and interact to understand their processes and behaviors in context. While some criticize ethnography for being subjective, proponents argue it provides a valuable perspective for understanding cultures that cannot be gained through more detached
RM&IPR M5 notes.pdfResearch Methodolgy & Intellectual Property Rights Series 5T.D. Shashikala
This PPT is prepared for VTU-Karnataka, Mtech/PhD Research Methodology syllabus Notes based on
1. Intellectual Property – A primer for Academia by Prof Rupinder Tewari & Mamta Bhardwaj
2. Study Material, Professional programme, Intellectual Property Rights-laws and practice
Live Sign Language Translation: A SurveyIRJET Journal
The document discusses various approaches that have been used for live sign language translation. It reviews 20 research papers that used techniques like convolutional neural networks, support vector machines, k-nearest neighbors, and LSTM networks to classify hand gestures and translate sign language into text with varying levels of accuracy between 62.3% to 99.9%. Deep learning models using CNNs and LSTMs achieved the highest accuracy compared to traditional classifiers. The paper aims to help other researchers in the field understand past approaches and how to potentially improve sign language translation systems.
This document provides an overview of Debopriyo Roy's research portfolio from 2011. It outlines his areas of focus which include document design practices, procedural visual design, usability testing processes, statistical analysis of web interactions, cognitive and behavioral frameworks, online collaboration/interface design, the technical writing market in India, and the tools/interfaces used for research. It also lists selected publications, research projects/funding, accomplishments, and research initiatives.
STEM Mom facilitates discussion among teachers at Princeton University during their annual YSAP (Young Science Achievers Program) event. [April 20, 2013]
This event is for teachers who already implement student research and who are highly successful in encouraging students to DO science, integrated with TEM! This is the powerpoint used during our full-day workshop.
System Based Mining for Discovering Human Interaction in MeetingsIRJET Journal
1) The document proposes a tree-based mining method to analyze human interactions in meetings by extracting frequent patterns of interactions. 2) These patterns are used to determine the content of the meeting and understand how conclusions were reached. 3) The method involves preprocessing text, classifying interactions into patterns like propose-comment, and clustering participants based on their interaction behavior.
Outline InstructionsHere is the template that should help an.docxalfred4lewis58146
Outline Instructions
Here is the template that should help and save you some time. I also added the two outline examples I handed out in class. FOLLOW THESE RULES PLEASE : Keep all the labels in your outline (e.g. Attention Getter, Reason to Listen, Speaker Credibility, 1st Main Point, etc.). When typing next to the labels, make sure to switch away from bold text, and of course, you will need to move the subordination marks in the BODY to correspond to your own unique content. Think about three - four pages or so and two or three main points with content double-spaced, Times New Roman, 12 point font. Print up two outlines to be safe as you will need one for yourself to hold on to. Some important rules here:
(1) EVERYTHING is written in complete sentences
(2) Single sentences per point in the BODY {This rule can be broken in the INTRODUCTION and CONCLUSION}
(3) Do not allow your text to drag back; keep it lined up under your subordination marks in the BODY.
The best piece of advice I can give you is EMULATE THE LACROSSE Outline.
hello i want u to edit something in my assignment need it i.e. by less than 24 hours
What are the sections I want you to include about a paragraph of two on each? There are 5 basic things I want you to address.
so under each topic u have to write 2 paragraph
1-Topic Overview:
Develop an overview of your research idea addressing in general what the research problem is, why research in this area is needed, and the source of the
need (tell me who said this topic needed research done on it).
2. Researcher Qualifications:
Tell me why you are interested/motivated to do research in this topic area and what is your background to do research on this topic.
3. Topic Development:
Explain why your topic idea is a "researchable problem" and not a "personal problem." Apply the information in the text and notes
to explain to me how the 'Scientific method' can be applied to this topic and produce a valid answer.
4. Feasibility:
Evaluate the feasibility of doing this research. You'll need to read ahead to Chapter 4 in the text and notes on this part, but identify the resources
needed to accomplish this project and how you intend to obtain them.
5. Specific Research Question(s):
This is real heart of the research project, what is the specific question (or questions) that is currently unknown knowledge that you
Running head:Research Paper on The impact of Technology on Business Relationships 1
Research Paper on The impact of Technology on Business Relationships
Student’s Name
Instructor’s name
Affiliation
Course
Date
Research Paper on The impact of Technology on Business Relationships
.
Overview of CPC writing support for G-cube doctoral students 23.01.12Lawrie Hunter
This document describes editing and writing services offered by Lawrie Hunter to G-cube PhD students. It outlines 5 main services: 1) Editing papers and providing coded feedback, 2) Mentoring to improve conformity and readability, 3) Support with presentation skills and materials, 4) Assistance with complexity management using mapping tools, 5) Guidance on academic writing styles. Students can meet with Hunter for an initial assessment and discussion of needs. Examples are provided of Hunter's edited comments and mapping diagrams to illustrate the types of support available.
More Related Content
Similar to Tool selection strategy for software-based visualization in technical academic argument work
Quantitative and Digital Skills of International Journalism and Communication...J T "Tom" Johnson
This document summarizes a survey of journalism and communications educators around the world. The survey found that educators lag behind changes in data and technology, making limited use of advanced analytic tools and digital communications. Journalism education focuses more on writing than data analysis. While definitions of journalism are evolving, curricula do not fully reflect changes in how data is processed and used. This disconnect between journalism practice and education could lead to superficial reporting and less relevance for democracy over time.
From TeacherTo assist you with preparing the Week 7 assignment.docxhanneloremccaffery
From Teacher
To assist you with preparing the Week 7 assignment, I am providing a few additional resources. Attached is a slide deck I created on coding textual data, and below are links to a video on coding and an article on identifying themes in qualitative data. Also, some learners find the Week 8 lecture helpful to this assignment, so I have attached it here as well.
As you prepare this assignment, closely follow the directions in the PSY 850 Assignments Document. Because it asks you to inductively code the data, I will expect to see that each of you have developed your own codes and themes. That means do not use the codes and themes from the Clark and Springer (2007) article. However, you should compare and contrast your findings with theirs in the recommendations section.
Submit one paper in APA format with the required subsections delineated in the Assignments Guide: Introduction, Sample, Instruments, Data Analysis, Results, and Recommendations. Include a references list. You must complete all three tables in the Tables for Assignment 7 document and include those tables as an Appendix in your document. Do not submit them as a separate document nor embed them within the text of the paper.
Please use this space to ask additional questions about the assignment.
Thanks and happy coding,
Paula
Video on Coding:
https://www.youtube.com/watch?v=DRL4PF2u9XA
GCU Recommended article on Techniques to Identify Themes in Qualitative Data
http://www.analytictech.com/mb870/Readings/ryan-bernard_techniques_to_identify_themes_in.htm
Attached FilesPSY-850-L8.pdfCoding Textual Data.pptx
Dr. Paula Thompson
Senior Doctoral Adjunct Chair
College of Doctoral Studies
[email protected]
Schedule meetings with me at: http://meetme.so/PaulaThompson
problem12.13
Techniques to Identify Themes in Qualitative Data
Gery W. Ryan
RAND
1700 Main Street
P.O. Box 2138
Santa Monica, CA 90407-2138
H. Russell Bernard
Department of Anthropology
1350 Turlington Hall
University of Florida
Gaineville, FL 32611
Key Words: Theme Identification, Exploratory Analysis, Open Coding, Text Analysis, Qualitative Research Methods
Abstract
Theme identification is one of the most fundamental tasks in qualitative research. It also one of the most mysterious. Explicit descriptions of theme discovery are rarely described in articles and reports and if so are often regulated to appendices or footnotes. Techniques are shared among small groups of social scientists and are often impeded by disciplinary or epistemological boundaries. During the proposal-writing phase of a project, investigators struggle to clearly explain and justify plans for discovering themes. These issues are particularly cogent when funding reviewers are unfamiliar with qualitative traditions. In this article we have outlined a dozen techniques that social scientists have used to discover themes in texts. The techniques are drawn from across epistemological and disciplinary boundaries. They ...
This curriculum vitae summarizes the qualifications of Susan S. Kirschenbaum. She received her PhD in Experimental Psychology from the University of Rhode Island in 1985. Her professional work experience includes over 30 years as a cognitive scientist and engineering psychologist at the Naval Undersea Warfare Center Division Newport. She has extensive experience conducting research on decision making, expertise, training, and human systems integration. She has authored numerous publications in these areas and received several awards for her independent research contributions.
The document discusses guidelines for writing effective scientific papers. It defines research and describes the significance of scientific research papers. Research is defined as a careful, systematic study of a subject using scientific principles to describe, explain and predict phenomena. Publishing research allows sharing findings and building new knowledge, and is important for career advancement. Effective scientific papers have a clear title, abstract, introduction, methodology, results, conclusion and references.
The document discusses data in the context of research. It defines data as a reinterpretable representation of information that can be communicated, interpreted, or processed. Data takes many forms like bits, numbers, text, sounds, images, and physical specimens. The document outlines four main categories of data: observational, computational, experimental, and records. Data sources and types vary across disciplines like the sciences, social sciences, and humanities. For example, scientists may generate their own data or acquire it from repositories, while humanists work with archives, libraries, and published works. Overall, data plays a key role in research as alleged evidence that is analyzed to produce findings and answer research questions.
This research proposal aims to study the problems that can occur when proper software engineering techniques are not consistently applied throughout the development process. The researcher will analyze how using proper modeling, planning, requirements gathering, design, programming, testing, and other techniques can help deliver high-quality, less expensive, and easier to maintain software in a timely manner. In contrast, not using these techniques risks developing low-quality software that goes over budget and is difficult to maintain. The study will review literature on software engineering best practices and the researcher's experience to determine the importance of applying a disciplined, systematic approach using appropriate tools at each stage of development.
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The document discusses various aspects of the natural language processing (NLP) research community, including conferences, papers, datasets, software, and standard tasks. It notes that most NLP work is published as 9-page conference papers which are presented at major annual conferences like ACL and EMNLP. It describes how the ACL conference had over 2000 attendees pre-COVID and over 3000 papers submitted in 2022, with about 20% accepted. It also outlines different "tracks" at conferences for specialized topics and lists various institutions, datasets, and software in the NLP field.
The document discusses various aspects of the natural language processing (NLP) research community, including conferences, papers, datasets, software, and standard tasks. It notes that most NLP work is published as 9-page conference papers that are presented at major annual conferences like ACL and EMNLP. It describes how the ACL conference had over 2000 attendees pre-COVID and over 3000 papers submitted in 2022, with about 20% accepted. It also outlines different "tracks" at conferences for specialized topics and lists various institutions, datasets, and software in the NLP field.
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Outline InstructionsHere is the template that should help an.docxalfred4lewis58146
Outline Instructions
Here is the template that should help and save you some time. I also added the two outline examples I handed out in class. FOLLOW THESE RULES PLEASE : Keep all the labels in your outline (e.g. Attention Getter, Reason to Listen, Speaker Credibility, 1st Main Point, etc.). When typing next to the labels, make sure to switch away from bold text, and of course, you will need to move the subordination marks in the BODY to correspond to your own unique content. Think about three - four pages or so and two or three main points with content double-spaced, Times New Roman, 12 point font. Print up two outlines to be safe as you will need one for yourself to hold on to. Some important rules here:
(1) EVERYTHING is written in complete sentences
(2) Single sentences per point in the BODY {This rule can be broken in the INTRODUCTION and CONCLUSION}
(3) Do not allow your text to drag back; keep it lined up under your subordination marks in the BODY.
The best piece of advice I can give you is EMULATE THE LACROSSE Outline.
hello i want u to edit something in my assignment need it i.e. by less than 24 hours
What are the sections I want you to include about a paragraph of two on each? There are 5 basic things I want you to address.
so under each topic u have to write 2 paragraph
1-Topic Overview:
Develop an overview of your research idea addressing in general what the research problem is, why research in this area is needed, and the source of the
need (tell me who said this topic needed research done on it).
2. Researcher Qualifications:
Tell me why you are interested/motivated to do research in this topic area and what is your background to do research on this topic.
3. Topic Development:
Explain why your topic idea is a "researchable problem" and not a "personal problem." Apply the information in the text and notes
to explain to me how the 'Scientific method' can be applied to this topic and produce a valid answer.
4. Feasibility:
Evaluate the feasibility of doing this research. You'll need to read ahead to Chapter 4 in the text and notes on this part, but identify the resources
needed to accomplish this project and how you intend to obtain them.
5. Specific Research Question(s):
This is real heart of the research project, what is the specific question (or questions) that is currently unknown knowledge that you
Running head:Research Paper on The impact of Technology on Business Relationships 1
Research Paper on The impact of Technology on Business Relationships
Student’s Name
Instructor’s name
Affiliation
Course
Date
Research Paper on The impact of Technology on Business Relationships
.
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Tool selection strategy for software-based visualization in technical academic argument work
1. Tool selection strategy for software-based visualization in technical academic argument work Lawrie Hunter Kochi University of Technology http://www.core.kochi-tech.ac.jp/hunter/ 33
2. Please download this ppt from lawriehunter.com Many more are available at http:/lawriehunter.com/cv/presns/
3. Tool selection strategy for software-based visualization in technical academic argument work Lawrie Hunter, Kochi University of Technology, Japan Logic and argument have proven to be significant obstacles to second language English academic writing success, markedly so for research students from East Asian cultures. The technical research paper is a masked facsimile of an argument; thus novice technical academic writing tends to be formulaic, following document structure rather than argument structure. In this frame, novice writing of abstracts is problematic at the design level. Linear text is not a particularly supportive medium for technical academic argument work. Relations between concepts can be marked in text by rhetorical signals, but the conceptual load economies of visualization are not available. Mind maps, concept maps and rhetorical structure maps, which all embody a number of visual metaphors, are promising tools for the support of novice technical academic argument work. Software embodiments of the above mapping types are usually marketed without discussion of the information-structure related choices involved in the selection of map type and software. This paper, referring to Hunter's (2009) decision matrix, presents a negotiated strategic pathway to the selection of map type and software for technical academic writing task, taking the example of inferred argument of an informally reported study. Reference points in this pathway include Toulmin (1958), Cañas & Novak (2006) and Kowalski (2011). Cañas, A. J., & Novak, J.D. (2006) Re-examining the foundations for effective use of concept maps. In Cañas, A. J., & Novak, J.D. (Eds.), Concept Maps: Theory, Methodology, Technology. Proceedings of the Second International Conference on Concept Mapping. Hunter, L. (2009) A Decision Matrix for the Use of Mapping and Mapping Software. Presented at EuroCALL 2009. http://www.lawriehunter.com/presns/eurocall09/ Kowalski, R. (2011) Computational logic and human thinking. Cambridge UP. Toulmin, S. (1958) The Uses of Argument, Cambridge University Press.
7. Design Scenario ESP EAP EAP HUMANITIES TAW EX EY EZ English for specific purposes English for academic purposes Technical academic writing
8. TAW best practice Niche language acquisition to near-independence in TAW Writing work focusing on argument and info-structures Training in use of language models: Style Dossier Preparation for work with an editor Preparation for work with a mentor
9. grammar/surface features usage/convention document format argument supporting claim Possible approaches research design/results most TAW writers start writing here (simulacrum of argument) RP language generation should start here most TAW programs work here
12. Logic and argument - significant obstacles to - second language English academic writing success - in East Asian cultures. The technical research paper - masked facsimile of an argument Novice technical academic writing – formulaic, following document structure -not argument structure Novice writing of abstracts - problematic at the design level. Argument
13.
14. Linear text: Not a particularly supportive medium for technical academic argument work. TAW learners are predominantly -reading for information -in a genre structure Argument in linear text
15.
16. Relations between concepts -can be marked in text by rhetorical signals. Text signalling of relations: -lacks the conceptual load economies of visualization. Marking relations in text
17. Tennis Players’ Grunts Slow Opponents Down Those loud grunts could give players an extra edge by slowing their opponents’ reaction time. The loud grunts tennis players make when hitting the ball could be distracting for their opponents. These noises can actually slow an opponent’s reaction time. Some players’ grunts register at 100 decibels. Players such as Maria Sharapova and Rafael Nadal are notorious for their grunting. Those loud grunts some tennis players make when hitting the ball could actually have a negative effect on their opponents by distracting them and slowing their reaction time, scientists said Friday. Players such as Maria Sharapova and Rafael Nadal are notorious for their grunting, a practice which often triggers complaints in professional tennis, said Scott Sinnett, lead author of the report that appeared in the journal Public Library of Science ONE . Researchers played 384 video clips of a tennis player hitting a ball to either the left or right of a video camera, to 33 students at the University of British Columbia in western Canada. The students were asked to quickly determine whether the ball was hit to the right or left. For some of the shots, a loud white noise was played as the racquet hit the ball. “ When an additional sound occurs at the same time as when the ball is struck, participants are significantly slower… and make significantly more decision errors,” said the study. A growing body of research shows that noise “distracts you from your ability to pay attention to what is going on,” said Sinnett in a telephone interview. “A grunt doesn’t allow you to place all your attention on what’s happening. It blocks the ability to pay attention to a multi-sensory event.” Grunting could cause a tennis player to perceive a ball traveling 50 miles (80 kilometers) per hour to be “two feet (60 centimeters) closer to the opponent than it actually is,” said Sinnett. “This could increase the likelihood that opponents are out of position and make returning the ball more difficult.” “ A lot of people have complained about grunting in the tennis world, that it’s distracting, and even some professionals have said it’s pretty much cheating,” said Sinnett, who conducted the research as a post-doctoral fellow at the University of British Columbia, and is now an assistant professor of psychology at the University of Hawaii at Mnoa. “ The study raises a number of interesting questions for tennis. For example, if Rafael Nadal is grunting and Roger Federer is not, is that fair?” he added. Scientifically regulating tennis-players’ grunts — some of which register at 100 decibels — “could be looked toward, because if it’s distracting to opponent, then it’s basically cheating,” he said. http://news.discovery.com/human/tennis-players-grunting-distraction.html Marking relations in text: example
18. Marking relations in text: example 1. isolate argument content 2. infer procedure,observations, conclusions
19. Tennis Players’ Grunts Slow Opponents Down Those loud grunts could give players an extra edge by slowing their opponents’ reaction time. The loud grunts tennis players make when hitting the ball could be distracting for their opponents. These noises can actually slow an opponent’s reaction time. Some players’ grunts register at 100 decibels. Players such as Maria Sharapova and Rafael Nadal are notorious for their grunting. Those loud grunts some tennis players make when hitting the ball could actually have a negative effect on their opponents by distracting them and slowing their reaction time, scientists said Friday. Players such as Maria Sharapova and Rafael Nadal are notorious for their grunting, a practice which often triggers complaints in professional tennis, said Scott Sinnett, lead author of the report that appeared in the journal Public Library of Science ONE . Researchers played 384 video clips of a tennis player hitting a ball to either the left or right of a video camera, to 33 students at the University of British Columbia in western Canada. The students were asked to quickly determine whether the ball was hit to the right or left. For some of the shots, a loud white noise was played as the racquet hit the ball. “ When an additional sound occurs at the same time as when the ball is struck, participants are significantly slower… and make significantly more decision errors,” said the study. A growing body of research shows that noise “distracts you from your ability to pay attention to what is going on,” said Sinnett in a telephone interview. “A grunt doesn’t allow you to place all your attention on what’s happening. It blocks the ability to pay attention to a multi-sensory event.” Grunting could cause a tennis player to perceive a ball traveling 50 miles (80 kilometers) per hour to be “two feet (60 centimeters) closer to the opponent than it actually is,” said Sinnett. “This could increase the likelihood that opponents are out of position and make returning the ball more difficult.” “ A lot of people have complained about grunting in the tennis world, that it’s distracting, and even some professionals have said it’s pretty much cheating,” said Sinnett, who conducted the research as a post-doctoral fellow at the University of British Columbia, and is now an assistant professor of psychology at the University of Hawaii at Mnoa. “ The study raises a number of interesting questions for tennis. For example, if Rafael Nadal is grunting and Roger Federer is not, is that fair?” he added. Scientifically regulating tennis-players’ grunts — some of which register at 100 decibels — “could be looked toward, because if it’s distracting to opponent, then it’s basically cheating,” he said. http://news.discovery.com/human/tennis-players-grunting-distraction.html 1. isolate argument content
21. Researchers played 384 video clips of a tennis player hitting a ball to either the left or right of a video camera, to 33 students at the University of British Columbia in western Canada. The students were asked to quickly determine whether the ball was hit to the right or left. For some of the shots, a loud white noise was played as the racquet hit the ball. “ When an additional sound occurs at the same time as when the ball is struck, participants are significantly slower… and make significantly more decision errors,” said the study. 2. infer observations, conclusions
22. Scaffolding for inferred abstract writing: -use only these verbs as main clause subjects. Citation as subject Results as subject Claim as subject claims (that) proposes (that) implies (that) suggests (that) infers (that) observes (that) reveals (that) demonstrates (that) indicates (that) disproves proves (that) implies (that) is supported by is contradicted by is in agreement with is in opposition to assumes (that)
23. 2. infer observations, conclusions Learner inference of observations and conclusion: -slow -inarticulate -unstructured -text-based scaffolding ineffective
24.
25. Mind maps Concept maps Rhetorical structure diagrams - embody a number of visual metaphors -promising tools for support of novice TAW* work. Map types *TAW = technical academic argument
32. Textured-link * maps *graphically textured (here: Hunter’s Ismap system) boil NH3 Make steam Rotate turbines Generate electricity Boil a liquid older type plants OTEC plants boil H2O seawater heat fossil or N-heat steam 20C steam 500C low power high power zero energy cost high energy cost ! ! !
35. Software embodiments of Mind maps Concept maps Rhetorical structure diagrams are usually marketed without discussion of the information-structure related choices involved in the selection of map type and software. Mapping software: design
39. ISmaps with rhetorical frames: argument in Sinnett (2010) Background complaints about grunting in pro tennis study of response time in tennis hunter systems Target behavior? Findings of Vancouver study reaction time decision errors reaction to video of tennis strokes reaction to video of tennis strokes random noise at time of stroke < Vancouver study play video clips tennis strokes to right or left tennis strokes to right or left subjects quickly decide measure reaction time, correctness random noise with stroke
40. Grounds Modality Claim Warrant Backing since on account of Toulmin model of argument Target behavior?
41. Grounds Modality Claim Warrant Backing Rebuttal since on account of unless Enhanced Toulmin model of argument Target behavior?
42. Toulmin model of argument in Sinnett (2010) Target behavior? Receiver makes more errors and is slower since because unless White noise in video caused reaction error and slowness Server grunts during stroke in tennis Video reaction is not equivalent to tennis reaction White noise has the same effect as grunting It is highly likely that
43.
44. Exploratory constraint: use only these links in your argument map Citation as subject Results as subject Claim as subject claims (that) proposes (that) implies (that) suggests (that) infers (that) observes (that) reveals (that) demonstrates (that) indicates (that) disproves proves (that) implies (that) is supported by is contradicted by is in agreement with is in opposition to assumes (that)
45. Traditional Pest Control W S-U Technical Writing II HW 6.0 May 22, 2008 Is in agreement with Chikaku Niiho The ineffectiveness of wrapping pine tree during winter Effective for trapping harmful insects 55 Percent of beneficial insects 4 Percent of harmful insects Spiders Assassin bugs Implies A pine wilt tree decease Reveals Wrapping of pine tree during winter Burning straw mats after beneficial insects leave Demonstrates Is supported by Is supported by Implies Infers that Suggests that Implies Implies Himeji Castle officers Moth Caterpillars Long-horn Beetles Nematodes inhibition in trunk Is supported by Is supported by reveals reveals
46. Sinnett (2010) claims that is supported by assumes that White noise is equivalent to grunts Server grunts during stroke in tennis cause receiver slowness and error Video reaction is equivalent to tennis reaction Subject error and slowness in video response with white noise bursts Novakian rhetoric map of argument in Sinnett (2010) Target behavior
47.
48. Rhetorical mapping Information structure mapping Syntactic mapping Grammatical mapping (pseudo) Association mapping Types of maps, info structures Degree of abstraction in mapping
49. Hunter’s framework for text analysis Key content Background Persuasion Rhetorical structure Information organization Information structures
50. Hunter ’s framework subsets Rhetorical analysis Structure analysis Key content Background Persuasion Rhetorical structure Information organization Information structures
51. A negotiated strategic pathway to the selection of map type and software for technical academic writing task. Design choices: mapping types Design choices: mapping tools
55. Thank you for your attention. You can download this .ppt from http://www.lawriehunter.com/ It will be archived at http://www.lawriehunter.com/cv/presns/ Lawrie Hunter Kochi University of Technology http://www.core.kochi-tech.ac.jp/hunter/
56. Lawrie Hunter is a professor at Kochi University of Technology. His infostructure maps provide the underlying structure of "Critical Thinking" (Greene & Hunter, Asahi Press 2002) and "Thinking in English" (Hunter, Cengage 2008). His recent work with task constraint caused disarray at the 3rd Concept Mapping Conference in Tallinn/Helsinki. http://www.lawriehunter.com