WT-EDM 2016
Workshop and Tutorial Proceedings of EDM 2016

Table of Contents

Workshops

• Computer-Supported Peer Review in Education (CSPRED-2016)
• Writing Analytics, Data Mining, and Writing Studies
• Educational Data Analysis using LearnSphere

Tutorials

• SAS Tools for Educational Data Mining
• Massively Scalable EDM with Spark

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Computer-Supported Peer Review in Education (CSPRED-2016)

organized by Edward Gehringer, Ferry Pramudianto, Yang Song

• Preface - CSPRED-2016
  
  
• Probing the Landscape: Toward a Systematic Taxonomy of Online Peer Assessment Systems in Education
  Dmytro Babik, Edward Gehringer, Jennifer Kidd, Ferry Pramudianto, David Tinapple
• The Role of Initial Input in Reputation Systems to Generate Accurate Aggregated Grades from Peer Assessment
  Zhewei Hu, Yang Song, Edward Gehringer
• Who Took Peer Review Seriously: Another Perspective on Student-Generated Quizzes
  Yang Song, Zhewei Hu, Ed Gehringer
• Teaching Students to Give and To Receive: Improving Disciplinary Writing Through Peer Review
  Julia Morris, Jennifer Kidd
• Prediction of Grades for Reviewing with Automated Peer-review and Reputation Metrics
  Da Young Lee, Ferry Pramudianto, Edward F. Gehringer
• Peer Review Data Warehouse: Insights From Different Systems
  Ferry Pramudianto, Maryam Aljeshi, Hisham Alhussein, Yang Song, Edward F. Gehringer, Dmytro Babik, David Tinapple
• Impact of Revision Planning on Peer-Reviewed Writing
  Alok Baikadi, Christian Schunn, Kevin Ashley
• When Trying to Be Helpful, Peer Reviews Are Also More Accurate
  Melissa Patchan, Christian Schunn, Russell Clark
• Automated Metareviewing: A Classifier Approach to Assess the Quality of Reviews
  Ravi Yadav, Edward Gehringer
• Toward Better Training in Peer Assessment: Does Calibration Help?
  Yang Song, Zhewei Hu, Ed Gehringer, Julia Morris, Jennifer Kidd, Stacie Ringleb
• Choosing a Better Moment to Assign Reviewers in Peer Assessment: The Earlier the Better, or the Later the Better?
  Yanqing Wang, Haoran Wang, Christian Schunn, Emily Baehr
• Assessing the Quality of Automatic Summarization for Peer Review in Education
  Ferry Pramudianto, Tarun Chhabra, Edward F. Gehringer, Christopher Maynards

Writing Analytics, Data Mining, and Writing Studies

organized by Val Ross, Alex Rudniy, Joe Moxley, David Eubanks

• Preface - Writing Analytics, Data Mining, and Writing Studies
  
  
• Mapping Writing Analytics
  Joe Moxley, Katie Walkup
• Collaborative Review in Writing Analytics: N-Gram Analysis of Instructor and Student Comments
  Alex Rudniy, Norbert Elliot
• Corpus Methods and Textual Visualization to Enhance Learning in Core Writing Courses
  David Kaufer, Suguru Ishizaki
• Weighted Log-odds-ratio, Informative Dirichlet Prior Method to Enhance Peer Review Feedback for Low- and High-scoring College Students in a Required First-year Writing Program
  Valerie Ross, Mark Liberman, Lan Ngo, Rodger LeGrand
• First-Year Composition as "Big Data": Examining Student Revisions at Scale
  Chris Holcomb, Duncan Buell
• Writing Transfer as a Framework for Big Data and Writing Analytics Research
  Denise Comer

Educational Data Analysis using LearnSphere

organized by John Stamper, Kenneth Koedinger, Philip Pavlik, Carolyn Rose, Ran Liu, Michael Eagle, Michael Yudelson, Kalyan Veeramachaneni

• Investigating the Impact of Slipping Parameters on Additive Factors Model Parameter Estimates
  Christopher J. MacLellan
• Regularizing Student Parameters of Individualized Bayesian Knowledge Tracing Model
  Michael Yudelson
• Toward Integrating Cognitive Tutor Interaction Data with Human Tutoring Text Dialogue Data in LearnSphere
  Stephen E. Fancsali, Steven Ritter, Susan R. Berman, Michael Yudelson, Vasile Rus, Donald M. Morrison
• Analyzing Frequent Sequential Patterns of Learning Behaviors in Concept Mapping
  Shang Wang, Erin Walker, Ruth Wylie
• Sequence Matters, But How Do I Discover How? Towards a Workflow for Evaluating Activity Sequences from Data
  Shayan Doroudi, Kenneth Holstein, Vincent Aleven, Emma Brunskill

SAS Tools for Educational Data Mining

organized by Jennifer Sabourin, Scott McQuiggan, Andre De Waal

• Tutorial Summary - SAS Tools for Educational Data Mining
  Jennifer Sabourin, Scott McQuiggan, Andre De Waal

Massively Scalable EDM with Spark

organized by Tristan Nixon

• Tutorial Summary - Massively Scalable EDM with Spark
  Tristan Nixon