PROCEEDINGS
This page holds the proceedings for the 10th International Conference on Educational Data Mining. The conference will be held on June 25 – 28, 2017, in Wuhan, Hubei, China.
Main Proceedings
Citation Information:
Xiangen Hu, Tiffany Barnes, Arnon Hershkovitz and Luc Paquette (eds.) Proceedings of the 10th International Conference on Educational Data Mining.
Proceedings
- Full proceedings
- Front Matter (Front page, Organization, Program committee, Sponsors, Contents)
- Invited Abstracts (Invited talks, JEDM Track papers, Invited paper)
- Full Papers
- Short Papers
- Poster and Demo Papers
- DC Papers
- Industry Track Papers (Poster and Short)
Workshop Proceedings
Citation Information:
Ran Liu and Michael Eagle (eds.) Proceedings of the EDM 2017 Workshops and Tutorials co-located with the 10th International Conference on Educational Data Mining.
Individual Papers
Invited Talks
Jie Tang
Ronald Cole
JEDM Track Journal Papers
Identifiability of the Bayesian Knowledge Tracing Model
Junchen Feng
RiPLE: Recommendation in Peer-Learning Environments Based on Knowledge Gaps and Interests
Hassan Khosravi, Kendra Cooper and Kirsty Kitto
Modeling Wheel-spinning and Productive Persistence in Skill Builders
Shimin Kai, Ma. Victoria Almeda, Ryan Baker, Nicole Shechtman, Cristina Heffernan and Neil Heffernan
Modeling MOOC Student Behavior With Two-Layer Hidden Markov Models
Chase Geigle and Chengxiang Zhai
Ran Liu and Kenneth Koedinger
Full papers
Zone out no more: Mitigating mind wandering during computerized reading
Sidney D’Mello, Caitlin Mills, Robert Bixler and Nigel Bosch
Measuring Similarity of Educational Items Using Data on Learners’ Performance
Jiří Řihák and Radek Pelánek
Adaptive Sequential Recommendation for Discussion Forums on MOOCs using Context Trees
Fei Mi and Boi Faltings
Analysis of problem-solving behavior in open-ended scientific-discovery game challenges
Aaron Bauer, Jeff Flatten and Zoran Popović
The Antecedents of and Associations with Elective Replay in An Educational Game: Is Replay Worth It?
Zhongxiu Liu, Christa Cody, Tiffany Barnes, Collin Lynch and Teomara Rutherford
Grade Prediction with Temporal Course-wise Influence
Zhiyun Ren, Xia Ning and Huzefa Rangwala
S. Supraja, Kevin Hartman, Sivanagaraja Tatinati and Andy Khong
Behavior-Based Latent Variable Model for Learner Engagement
Andrew Lan, Christopher Brinton, Tsung-Yen Yang and Mung Chiang
Efficient Feature Embeddings for Student Classification with Variational Auto-encoders
Severin Klingler, Rafael Wampfler, Tanja Käser, Barbara Solenthaler and Markus Gross
Predicting Short- and Long-Term Vocabulary Learning via Semantic Features of Partial Word Knowledge
Sungjin Nam, Gwen Frishkoff and Kevyn Collins-Thompson
Generalizability of Face-Based Mind Wandering Detection Across Task Contexts
Angela Stewart, Nigel Bosch and Sidney D’Mello
Addressing Student Behavior and Affect with Empathy and Growth Mindset
Shamya Karumbaiah, Rafael Lizarralde, Danielle Allessio, Beverly Woolf and Ivon Arroyo
Epistemic Network Analysis and Topic Modeling for Chat Data from Collaborative Learning Environment
Zhiqiang Cai, Brendan Eagan, Nia Dowell, James Pennebaker, Arthur Graesser and David Shaffer
Towards Closing the Loop: Bridging Machine-induced Pedagogical Policies to Learning Theories
Guojing Zhou, Jianxun Wang, Collin Lynch and Min Chi
On the Influence on Learning of Student Compliance with Prompts Fostering Self-Regulated Learning
Sébastien Lallé, Cristina Conati, Roger Azevedo, Michelle Taub and Nicholas Mudrick
Assessing Computer Literacy of Adults with Low Literacy Skills
Andrew Olney, Dariush Bakhtiari, Daphne Greenberg and Arthur Graesser
Towards reliable and valid measurement of individualized student parameters
Ran Liu and Kenneth Koedinger
The Misidentified Identifiability Problem of Bayesian Knowledge Tracing
Shayan Doroudi and Emma Brunskill
Short papers
An Effective Framework for Automatically Generating and Ranking Topics in MOOC Videos
Jile Zhu, Xiang Li, Zhuo Wang and Ming Zhang
Grouping Students for Maximizing Learning from Peers
Rakesh Agrawal, Sharad Nandanwar and Narasimha Murty Musti
Assessing the Dialogic Properties of Classroom Discourse: Proportion Models for Imbalanced Classes
Andrew Olney, Borhan Samei, Patrick Donnelly and Sidney D’Mello
When and who at risk? Call back at these critical points
Yuntao Li, Chengzhen Fu and Yan Zhang
Maureen Villamor and Ma. Mercedes Rodrigo
Linking Language to Math Success in a Blended Course
Scott Crossley, Tiffany Barnes, Collin Lynch and Danielle McNamara
Task and Timing: Separating Procedural and Tactical Knowledge in Student Models
Joshua Cook, Collin Lynch, Andrew Hicks and Behrooz Mostafavi
Evaluation of a Data-driven Feedback Algorithm for Open-ended Programming
Thomas Price, Rui Zhi and Tiffany Barnes
Making the Grade: How Learner Engagement Changes After Passing a Course
David Lang, Ben Domingue, Alex Kindel and Andreas Paepcke
Thanaporn Patikorn, Douglas Selent, Neil Heffernan, Joseph Beck and Jian Zou
Data-Mining Textual Responses to Uncover Misconception Patterns
Joshua Michalenko, Andrew Lan, Andrew Waters, Phillip Grimaldi and Richard Baraniuk
Automated Assessment for Scientific Explanations in On-line Science Inquiry
Haiying Li, Janice Gobert and Rachel Dickler
Can Typical Behaviors Identified in MOOCs be Discovered in Other Courses?
Truong-Sinh An, Christopher Krauss and Agathe Merceron
Gaze-based Detection of Mind Wandering during Lecture Viewing
Stephen Hutt, Jessica Hardey, Robert Bixler, Angela Stewart, Evan Risko and Sidney D’Mello
Sequence Modelling For Analysing Student Interaction with Educational Systems
Christian Hansen, Casper Hansen, Niklas Hjuler, Stephen Alstrup and Christina Lioma
Oluwabukola Ishola and Gordon McCalla
Renu Balyan, Kathryn McCarthy and Danielle McNamara
Predicting Student Retention from Behavior in an Online Orientation Course
Shimin Kai, Juan Miguel Andres, Luc Paquette, Ryan Baker, Kati Molnar, Harriet Watkins and Michael Moore
Inferring Frequently Asked Questions from Student Question Answering Forums
Renuka Sindhgatta, Smit Marvaniya, Tejas Dhamecha and Bikram Sengupta
On the Prevalence of Multiple-Account Cheating in Massive Open Online Learning
Yingying Bao, Guanliang Chen and Claudia Hauff
Clustering Student Sequential Trajectories Using Dynamic Time Wrapping
Shitian Shen and Min Chi
Ziheng Zeng, Snigdha Chaturvedi and Suma Bhat
Modeling Classifiers for Virtual Internships Without Participant Data
Dipesh Gautam, Zachari Swiecki, David Shaffer, Vasile Rus and Arthur Graesser
Convolutional Neural Network for Automatic Detection of Sociomoral Reasoning Level
Ange Adrienne Nyamen Tato, Roger Nkambou and Aude Dufresne
A Latent Factor Model For Instructor Content Preference Analysis
Jack Wang, Andrew Lan, Phillip Grimaldi and Richard Baraniuk
Mining Innovative Augmented Graph Grammars for Argument Diagrams through Novelty Selection
Linting Xue, Collin Lynch and Min Chi
An Extended Learner Modeling Method to Assess Students’ Learning Behaviors
Yi Dong and Gautam Biswas
Siyuan Zhao and Neil Heffernan
Online Learning Persistence and Academic Achievement
Ying Fang, Benjamin Nye, Philip Pavlik Jr., Yonghong Xu, Arthur Graesser and Xiangen Hu
Using Temporal Association Rule Mining to Predict Dyadic Rapport in Peer Tutoring
Michael Madaio, Rae Lasko, Justine Cassell and Amy Ogan
Learning to Represent Student Knowledge on Programming Exercises Using Deep Learning
Lisa Wang, Angela Sy, Larry Liu and Chris Piech
Development of a Trajectory Model for Visualizing Teacher ICT Usage Based on Event Segmentation Data
Longwei Zheng, Rui Shi, Xiaoqing Gu, Bingcong Wu and Yuanyuan Feng
Posters
Modeling Network Dynamics of MOOC Discussion Interactions at Scale
Jingjing Zhang and Maxim Skryabin
Studying MOOC Completion at Scale Using the MOOC Replication Framework
Juan Miguel Andres, Ryan Baker, George Siemens, Dragan Gašević, Catherine Spann and Scott Crossley
Seth Adjei, Korinn Ostrow, Erik Erickson and Neil Heffernan
Alexander Askinadze and Stefan Conrad
Student Use of Scaffolded Inquiry Simulations in Middle School Science
Elizabeth McBride, Jonathan Vitale and Marcia Linn
Modeling Dormitory Occupancy Using Markov Chains
David Pokrajac, Kimberley Sudler, Diana Yankovich and Teresa Hardee
Improving Models of Peer Grading in SPOC
Yong Han, Wenjun Wu and Xuan Zhou
Personalized Feedback for Open-Response Mathematical Questions using Long Short-Term Memory Networks
Joshua Michalenko, Andrew Lan and Richard Baraniuk
Intelligent Composition of Test Papers based on MOOC Learning Data
Lin Ma and Yuchun Ma
Toward Replicable Predictive Model Evaluation in MOOCs
Josh Gardner and Christopher Brooks
Modeling the Zone of Proximal Development with a Computational Approach
Irene-Angelica Chounta, Bruce Mclaren, Patricia Albacete, Pamela Jordan and Sandra Katz
Wonjoon Hong and Matthew Bernacki
Cluster Analysis of Real Time Location Data – An Application of Gaussian Mixture Models
Alvaro Ortiz-Vazquez, Xiang Liu, Ching-Fu Lan, Hui Soo Chae and Gary Natriello
A Topic Model and Social Network Analysis of a School Blogging Platform
Xiaoting Kuang, Hui Soo Chae, Brian Hughes and Gary Natriello
Supporting the Encouragement of Forum Participation
Aashna Garg and Andreas Paepcke
Untangling The Program Name Versus The Curriculum: An Investigation of Titles and Curriculum Content
R. Wes Crues
Emerging Patterns in Student’s Learning Attributes through Text Mining
Kejkaew Thanasuan, Warasinee Chaisangmongkon and Chanikarn Wongviriyawong
A Neural Network Approach to Estimate Student Skill Mastery in Cognitive Diagnostic Assessments
Qi Guo, Maria Cutumisu and Ying Cui
Automatic Peer Tutor Matching: Data-Driven Methods to Enable New Opportunities for Help
Nicholas Diana, Michael Eagle, John Stamper, Shuchi Grover, Marie Bienkowski and Satabdi Basu
Short-Answer Responses to STEM Exercises: Measuring Response Validity and Its Impact on Learning
Andrew Waters, Phillip Grimaldi, Andrew Lan and Richard Baraniuk
Genghu Shi, Philip Pavlik Jr. and Arthur Graesser
Identifying student communities in blended courses
Niki Gitinabard, Collin Lynch, Sarah Heckman and Tiffany Barnes
Automatic Scoring Method for Descriptive Test Using Recurrent Neural Network
Keiji Yasuda, Izuru Nogaito, Hiroyuki Kawashima, Hiroaki Kimura and Masayuki Hashimoto
Beate Grawemeyer, Alex Wollenschlaeger, Sergio Gutierrez-Santos, Wayne Holmes, Manolis Mavrikis and Alex Poulovassilis
Predicting Performance in a Small Private Online Course
Han Wan, Jun Ding, Xiaopeng Gao, Qiaoye Yu and Kangxu Liu
Social work in the classroom? A tool to evaluate topical relevance in student writing
Heeryung Choi, Zijian Wang, Christopher Brooks, Kevyn Collins-Thompson, Beth Glover Reed and Dale Fitch
Biao Yin, Anthony F. Botelho, Thanaporn Patikorn, Neil Heffernan and Jian Zou
Thanaporn Patikorn, Neil Heffernan and Jian Zou
MyCOS Intelligent Teaching Assistant
Jiao Guo, Xinhua Huang and Boqing Wang
Towards Automatic Classification of Learning Objects: Reducing the Number of Used Features
Cristobal Romero, Pedro Gonzalez Espejo, Eva Gibaja, Alfredo Zapata González and Victor Menendez
The Reading Ability of College Freshmen
Andrew Olney, Breya Walker, Raven Davis and Arthur Graesser
Discovering skill prerequisite structure through Bayesian estimation and nested model comparison
Soo-Yun Han, Jiyoung Yoon and Yun Joo Yoo
Text analysis with LIWC and Coh-Metrix: Portraying MOOCs Instructors
Junyi Li, Yun Tang, Lijun Sun and Xiangen Hu
Identifying relationships between students’ questions type and their behavior
Fatima Harrak, François Bouchet and Vanda Luengo
Metacognitive Prompt Overdose: Positive and Negative Effects of Prompts in iSTART
Kathryn McCarthy, Amy Johnson, Aaron Likens, Zachary Martin and Danielle McNamara
Tracking Online Reading of College Students
Andrew Olney, Eric Hosman, Arthur Graesser and Sidney D’Mello
Dropout Prediction in MOOCs using Learners’ Study Habits Features
Wan Han, Jun Ding, Xiaopeng Gao and David Pritchard
Jingxuan Liu and Hongli Li
An Analysis of Students’ Questions in MOOCs Forums
Meng Cao, Yun Tang and Xiangen Hu
Tutorials
Real-time programming exercise feedback in MOOCs
Zhenghao Chen, Andy Nguyen, Amory Schlender and Jiquan Ngiam
Why data standards are critical for EDM and AIED
Xiangen Hu, Robby Robson and Avron Barr
Tutorial: Principal Stratification for EDM Experiments
Adam Sales
Whitebox: A Device To Assist Group Work Evaluation
Daisuke Yukita
Yancy Vance Paredes, Po-Kai Huang and Sharon Hsiao
Doctoral Consortium
A Framework for the Estimation of Students’ Programming Abilities
Ella Albrecht
Student Use of Inquiry Simulations in Middle School Science
Elizabeth McBride
Developing Chinese Automated Essay Scoring Model to Assess College Students’ Essay Quality
Yu-Ju Lu, Bor-Chen Kuo and Kai-Chih Pai
Teaching Informal Logical Fallacy Identification with a Cognitive Tutor
Nicholas Diana, John Stamper and Kenneth Koedinger
Automated Extraction of Results from Full Text Journal Articles
R. Wes Crues
Intelligent Argument Grading System forStudent-produced Argument Diagrams
Linting Xue
Industry Track
Dropout Prediction in Home Care Training
Wenjun Zeng, Si-Chi Chin, Brenda Zeimet, Rui Kuang and Chih-Lin Chi
Few hundred parameters outperform few hundred thousand?
Amar Lalwani and Sweety Agrawal
Tell Me More: Digital Eyes to the Physical World for Early Childhood Learning
Vijay Ekambaram, Ruhi Sharma Mittal, Prasenjit Dey, Ravindranath Kokku, Aditya K Sinha and Satya V Nitta
Student Learning Strategies to Predict Success in an Online Adaptive Mathematics Tutoring System
Jun Xie, Shirin Mojarad, Keith Shubeck, Alfred Essa, Ryan Baker and Xiangen Hu
Adaptive Assessment Experiment in a HarvardX MOOC
Ilia Rushkin, Yigal Rosen, Andrew Ang, Colin Fredericks, Dustin Tingley, Mary Jean Blink and Glenn Lopez
Workshops
Graph-based Educational Data Mining
Collin Lynch, Tiffany Barnes, Linting Xue and Niki Gitinabard
Workshop proposal: deep learning for educational data mining
Joseph Beck, Min Chi and Ryan Baker
Sharing and Reusing Data and Analytic Methods with LearnSphere
Ran Liu, Kenneth Koedinger, John Stamper and Philip Pavlik Jr.