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ORCID9th EDM 2016: Raleigh, NC, USA - Workshops
- Jonathan P. Rowe, Erica L. Snow:
Workshop and Tutorial Proceedings of the 9th International Conference on Educational Data Mining, Raleigh, NC, USA, June 29, 2016. CEUR Workshop Proceedings 1633, CEUR-WS.org 2016
Computer-Supported Peer Review in Education (CSPRED-2016)
- Dmytro Babik, Edward F. Gehringer, Jennifer Kidd, Ferry Pramudianto, David Tinapple:
Probing the Landscape: Toward a Systematic Taxonomy of Online Peer Assessment Systems in Education. - Zhewei Hu, Yang Song, Edward F. Gehringer:
The Role of Initial Input in Reputation Systems to Generate Accurate Aggregated Grades from Peer Assessment. - Yang Song, Zhewei Hu, Edward F. Gehringer:
Who Took Peer Review Seriously: Another Perspective on Student-Generated Quizzes. - Julia Morris, Jennifer Kidd:
Teaching Students to Give and To Receive: Improving Disciplinary Writing Through Peer Review. - Da Young Lee, Ferry Pramudianto, Edward F. Gehringer:
Prediction of Grades for Reviewing with Automated Peer-review and Reputation Metrics. - Ferry Pramudianto, Maryam Aljeshi, Hisham Alhussein, Yang Song, Edward F. Gehringer, Dmytro Babik, David Tinapple:
Peer Review Data Warehouse: Insights From Different Systems. - Alok Baikadi, Christian D. Schunn, Kevin D. Ashley:
Impact of Revision Planning on Peer-Reviewed Writing. - Melissa Patchan, Christian Schunn, Russell Clark:
When Trying to Be Helpful, Peer Reviews Are Also More Accurate. - Ravi Yadav, Edward F. Gehringer:
Automated Metareviewing: A Classifier Approach to Assess the Quality of Reviews. - Yang Song, Zhewei Hu, Edward F. Gehringer, Julia Morris, Jennifer Kidd, Stacie Ringleb:
Toward Better Training in Peer Assessment: Does Calibration Help? - Yanqing Wang, Haoran Wang, Christian Schunn, Emily Baehr:
Choosing a Better Moment to Assign Reviewers in Peer Assessment: The Earlier the Better, or the Later the Better? - Ferry Pramudianto, Tarun Chhabra, Edward F. Gehringer, Christopher M. Maynard:
Assessing the Quality of Automatic Summarization for Peer Review in Education.
Writing Analytics, Data Mining, and Writing Studies
- Joe Moxley, Katie Walkup:
Mapping Writing Analytics. - Alex Rudniy, Norbert Elliot:
Collaborative Review in Writing Analytics: N-Gram Analysis of Instructor and Student Comments. - David Kaufer, Suguru Ishizaki:
Corpus Methods and Textual Visualization to Enhance Learning in Core Writing Courses. - Valerie Ross, Mark Y. Liberman, Lan Ngo, Rodger LeGrand:
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. - Chris Holcomb, Duncan A. Buell:
First-Year Composition as "Big Data": Examining Student Revisions at Scale. - Denise Comer:
Writing Transfer as a Framework for Big Data and Writing Analytics Research.
Educational Data Analysis using LearnSphere
- Christopher J. MacLellan:
Investigating the Impact of Slipping Parameters on Additive Factors Model Parameter Estimates. - Michael Yudelson:
Regularizing Student Parameters of Individualized Bayesian Knowledge Tracing Model. - Stephen E. Fancsali, Steven Ritter, Susan R. Berman, Michael Yudelson, Vasile Rus, Donald M. Morrison:
Toward Integrating Cognitive Tutor Interaction Data with Human Tutoring Text Dialogue Data in LearnSphere. - Shang Wang, Erin Walker, Ruth Wylie:
Analyzing Frequent Sequential Patterns of Learning Behaviors in Concept Mapping. - Shayan Doroudi, Kenneth Holstein, Vincent Aleven, Emma Brunskill:
Sequence Matters, But How Do I Discover How? Towards a Workflow for Evaluating Activity Sequences from Data.
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