Journal of Writing Analytics

95 articles
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January 2020

  1. Possibilities for a Public-Facing Digital Writing Program Archive in the Age of Analytics
    doi:10.37514/jwa-j.2020.4.1.07

January 2019

  1. Understanding Attainment Disparity: The Case for a Corpus-Driven Analysis of the Language used in Written Feedback Information to Students of Different Backgrounds
    doi:10.37514/jwa-j.2019.3.1.04
  2. Peer Review in Biology: Of Novices, Experts, and Disciplines
    doi:10.37514/jwa-j.2019.3.1.06
  3. Knowledge Making and Writing Analytics: MLA Special Session
    doi:10.37514/jwa-j.2019.3.1.14
  4. Research in the Teaching of English: From Alchemy and Science to Methodological Plurality
    doi:10.37514/jwa-j.2019.3.1.15
  5. For Whom Do We Make Knowledge and Why? Response to Diane KellyRiley and Mya Poe
    doi:10.37514/jwa-j.2019.3.1.17
  6. Tracing Fan Uptakes: Tagging, Language, and Ideological Practices in The Legend of Korra Fanfictions
    doi:10.37514/jwa-j.2019.3.1.08
  7. Introducing Undergraduate Students to Writing and Algorithms: Understanding Analytics and Measuring Content on Personal Capstone Websites
    doi:10.37514/jwa-j.2019.3.1.10
  8. Considering Consequences in Writing Analytics: Humanistic Inquiry and Empirical Research in The Journal of Writing Assessment
    doi:10.37514/jwa-j.2019.3.1.16
  9. When Scores Do Not Increase: Notes on Quantitative Approaches to Writing Assessment
    doi:10.37514/jwa-j.2019.3.1.12
  10. A Text-Analytic Method for Identifying Text Recycling in STEM Research Reports
    doi:10.37514/jwa-j.2019.3.1.07
  11. Writing Analytics: Broadening the Community
    doi:10.37514/jwa-j.2019.3.1.01
  12. Directions in Writing Analytics: Some Suggestions
    doi:10.37514/jwa-j.2019.3.1.02
  13. Perusall: Harnessing AI Robo-Tools and Writing Analytics to Improve Student Learning and Increase Instructor Efficiency
    doi:10.37514/jwa-j.2019.3.1.11
  14. How to Typo? Building a Process-Based Model of Typographic Error Revisions
    doi:10.37514/jwa-j.2019.3.1.05
  15. Modelling Score Variation in Student Writing with a Big Data System: Benefits, Challenges, and Ways Forward
    doi:10.37514/jwa-j.2019.3.1.13
  16. A Taxonomy for Writing Analytics
    doi:10.37514/jwa-j.2019.3.1.03
  17. Seniority in Writing Studies: A Corpus Analysis
    doi:10.37514/jwa-j.2019.3.1.09

January 2018

  1. It�s All in the Notes: What Session Notes Can Tell Us About the Work of Writing Centers
    doi:10.37514/jwa-j.2018.2.1.09
  2. Evolution of Instructor Response? Analysis of Five Years of Feedback to Students
    doi:10.37514/jwa-j.2018.2.1.02
  3. Writing MentorTM: Writing Progress Using Self-Regulated Writing Support
    doi:10.37514/jwa-j.2018.2.1.12
  4. Placing Writing Tasks in Local and Global Contexts: The Case of Argumentative Writing
    doi:10.37514/jwa-j.2018.2.1.03
  5. Going Beyond �That was fun�: Measuring Writing Motivation
    doi:10.37514/jwa-j.2018.2.1.10
  6. Utility-Value Score: A Case Study in System Generalization for Writing Analytics
    doi:10.37514/jwa-j.2018.2.1.13
  7. Structural Features of Undergraduate Writing: A Computational Approach
    doi:10.37514/jwa-j.2018.2.1.06
  8. Developing an e-rater Advisory to Detect Babel-generated Essays
    doi:10.37514/jwa-j.2018.2.1.08
  9. Is this Too Polite? The Limited Use of Rhetorical Moves in a First-Year Corpus
    doi:10.37514/jwa-j.2018.2.1.04
  10. Coordinated Symposium: NCME 2018 Panel on Writing Analytics
    doi:10.37514/jwa-j.2018.2.1.11
  11. De-Identification of Laboratory Reports in STEM
    doi:10.37514/jwa-j.2018.2.1.07
  12. Contemporary Peer Review: Construct Modeling, Measurement Foundations, and the Future of Digital Learning
    doi:10.37514/jwa-j.2018.2.1.05
  13. Reflections: NCME 2018 Panel on Writing Analytics
    doi:10.37514/jwa-j.2018.2.1.14
  14. Writing Analytics: Methodological and Conceptual Developments
    doi:10.37514/jwa-j.2018.2.1.01

January 2017

  1. Statistical and Qualitative Analyses of Students� Answers to a Constructed Response Test of Science Inquiry Knowledge
    doi:10.37514/jwa-j.2017.1.1.05
  2. Applying Natural Language Processing Tools to a Student Academic Writing Corpus: How Large are Disciplinary Differences Across Science and Engineering Fields?
    doi:10.37514/jwa-j.2017.1.1.04
  3. Transforming Text: Four Valences of a Digital Humanities Informed Writing Analytics
    doi:10.37514/jwa-j.2017.1.1.11
  4. Discovering the Predictive Power of Five Baseline Writing Competences
    doi:10.37514/jwa-j.2017.1.1.08
  5. Doing Big Data: Considering the Consequences of Writing Analytics
    doi:10.37514/jwa-j.2017.1.1.12
  6. I Hear What You�re Saying: The Power of Screencasts in Peer-to-Peer Review
    doi:10.37514/jwa-j.2017.1.1.13
  7. Corpus Analysis of Argumentative Versus Explanatory Discourse in Writing Task Genres
    doi:10.37514/jwa-j.2017.1.1.03
  8. (Re)Visualizing Rater Agreement: Beyond Single-Parameter Measures
    doi:10.37514/jwa-j.2017.1.1.10
  9. Assessing Writing Constructs: Toward an Expanded View of Inter-Reader Reliability
    doi:10.37514/jwa-j.2017.1.1.09
  10. Writing Analytics: Conceptualization of a Multidisciplinary Field
    doi:10.37514/jwa-j.2017.1.1.02
  11. Letter from the Publisher: On Launching and on Learning Analytics
    doi:10.37514/jwa-j.2017.1.1.01
  12. A Text Analytic Approach to Classifying Document Types
    doi:10.37514/jwa-j.2017.1.1.06
  13. Measuring the Written Language Disorder among Students with Attention Deficit Hyperactivity Disorder
    doi:10.37514/jwa-j.2017.1.1.07