| Vol-1633 urn:nbn:de:0074-1633-0 Copyright © 2016 for the individual papers by the papers' authors. Copying permitted for private and academic purposes. This volume is published and copyrighted by its editors.

# WT-EDM 2016
Workshop and Tutorial Proceedings of EDM 2016

### Proceedings of the EDM 2016 Workshops and Tutorials
co-located with the 9th International Conference on Educational Data Mining (EDM 2016)

### Raleigh, NC, USA, June 29, 2016.

Edited by

### Jonathan P. Rowe *
Erica Snow **

* North Carolina State University, Center for Educational Informatics, USA
** SRI International, Center for Technology in Learning, USA

## 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

### 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

2016-07-28: submitted by Jonathan Rowe, metadata incl. bibliographic data published under Creative Commons CC0
2016-07-29: published on CEUR-WS.org |valid HTML5|