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Jul 5, 2014
Category: General
Posted by: admin

The first keynote speaker of EDM 2015 has been confirmed: Professor George Siemens, Executive Director, Learning Innovation & Networked Knowledge (LINK) Research Lab, University of Texas Arlington; Co‐founder and President of SoLAR, Society for Learning Analytics Research.

Feb 28, 2014
Category: General
Posted by: admin
A selection of accepted papers (both from conference and workshops) will be invited to extend their submission for a special issue in the Journal of Educational Data Mining (JEDM).
Sep 23, 2013
Category: General
Posted by: admin
The EDM website is now live.

Organized by the International Educational Data Mining Society (IEDMS).

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Duolingo

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Use #EDM2015Madrid


RT @AunCLICdelasTIC: Soy minero… de datos educativos http://t.co/XSzPedyZbD por @carlosTls2014 #EDM2015Madrid #educacióndigital #datamining
2015-07-10 07:16:51
Manifesto for Accessible User Experience http://t.co/g13NIWGV1x via @wordpressdotcom
2015-07-10 05:44:34
RT @AunCLICdelasTIC: Soy minero… de datos educativos http://t.co/XSzPedyZbD por @carlosTls2014 #EDM2015Madrid #educacióndigital #datamining
2015-07-10 04:48:32
Una introducción a la minería de datos educativos http://t.co/8IbmeIam4j @AunCLICdelasTIC @carlosTls2014 #EDM2015Madrid
2015-07-10 03:51:27
I’m a miner… of educational data (Spanish) http://t.co/vKJVPewmrG @AunCLICdelasTIC @carlosTls2014 #EDM2015Madrid http://t.co/Cl2X4ssusS
2015-07-10 03:47:42
RT @AunCLICdelasTIC: Soy minero… de datos educativos http://t.co/XSzPedyZbD por @carlosTls2014 #EDM2015Madrid #educacióndigital #datamining
2015-07-10 02:57:34
Soy minero… de datos educativos http://t.co/XSzPedyZbD por @carlosTls2014 #EDM2015Madrid #educacióndigital #datamining
2015-07-10 02:02:54
RT @dgasevic: Slides of #EDM2015Madrid keynote: Personal Learning Graphs (PLeG) by @gsiemens, @dgasevic, @BakerEDMLab http://t.co/yL3zzati…
2015-07-02 10:10:16
Back from Spain (#EDM2015Madrid), stopping by the @TutorGen team at #ISTE2015, leave for Brazil on Friday. https://t.co/4oxoNI7QKC
2015-07-01 15:29:21
RT @peterpaws: Slides now posted for: A Framework for Multifaceted Evaluation of Student Models http://t.co/mQ5FEJnKdZ #paper_164 #aied2015
2015-07-01 08:27:57

Timely Procedings contents

 

Invited Talks
Behind the scenes of Duolingo
Luis Von Ahn and Matt Streeter 

Personal Knowledge/Learning Graph
George Siemens, Dragan Gasevic, Ryan Baker

Educational neuroscience as a tool to understand learning and learning disabilities in mathematics
Pekka Räsänen

Full Papers

A partition tree approach to combine techniques to refine item to skills Q-matrices
Michel Desmarais, Peng Xu and Behzad Beheshti

On the Performance Characteristics of Latent-Factor and Knowledge Tracing Models
Severin Klingler, Tanja Käser, Barbara Solenthaler and Markus Gross

Mixture Modeling of Individual Learning Curves
Matthew Streeter

Accounting for Slipping and Other False Negatives in Logistic Models of Student Learning
Christopher Maclellan, Ran Liu and Kenneth Koedinger

Learning Environments and Inquiry Behaviors in Science Inquiry Learning: How their Interplay Affects the Development of Conceptual Understanding in Physics
Engin Bumbacher, Shima Salehi, Miriam Wierzchula and Paulo Blikstein

Toward a Real-time (Day) Dreamcatcher: Detecting Mind Wandering Episodes During Online Reading
Caitlin Mills and Sidney D'Mello

A Comparison of Face-based and Interaction-based Affect Detectors in Physics Playground
Shiming Kai, Luc Paquette, Ryan S. Baker, Nigel Bosch, Sidney D’mello, Jaclyn Ocumpaugh, Valerie Shute and Matthew Ventura

Exploring Dynamical Assessments of Affect, Behavior, and Cognition and Math State Test Achievement
Maria Ofelia San Pedro, Erica Snow, Ryan Baker, Danielle McNamara and Neil Heffernan

Sensor-Free or Sensor-Full: A Comparison of Data Modalities in Multi-Channel Affect Detectio
Luc Paquette, Jonathan Rowe, Ryan Baker, Bradford Mott, James Lester, Jeanine Defalco, Keith Brawner, Robert Sottilare and Vasiliki Georgoulas

Machine beats experts: Automatic discovery of skill models for data-driven online courseware refinement
Noboru Matsuda, Tadanobu Furukawa, Norman Bier and Christos Faloutsos

Student Models for Prior Knowledge Estimation
Juraj Nižnan, Radek Pelánek and Jirí Rihák

Discovering Prerequisite Structure of Skills through Probabilistic Association Rules Mining
Yang Chen, Wuillemin Pierre-Henri and Jean-Marc Labat

Choosing to Interact: Exploring the Relationship Between Learner Personality, Attitudes, and Tutorial Dialogue Participation
Aysu Ezen-Can and Kristy Elizabeth Boyer

Considering the influence of prerequisite performance on wheel spinning
Hao Wan and Joseph Beck

Comparing Novice and Experienced Students in Virtual Performance Assessments
Yang Jiang, Luc Paquette, Ryan Baker and Jody Clarke-Midura

The Impact of Incorporating Student Confidence Items into an Intelligent Tutor: A Randomized Controlled Trial
Charles Lang, Neil Heffernan, Korinn Ostrow and Yutao Wang

Analyzing Early At-Risk Factors in Higher Education e-Learning Courses
Ryan Baker, David Lindrum, Mary Jane Lindrum and David Perkowski

Do country stereotypes exist in educational data? A clustering approach for large, sparse, and weighted data
Mirka Saarela and Tommi Kärkkäinen

Student Privacy and Educational Data Mining: Perspectives from Industry
Jennifer Sabourin, Lucy Kosturko, Clare Fitzgerald and Scott Mcquiggan

Beyond Prediction: Towards Automatic Intervention in MOOC Student Stop-out.
Jacob Whitehill, Joseph Williams, Glenn Lopez, Cody Coleman and Justin Reich

From Predictive Models to Instructional Policies
Joseph Rollinson and Emma Brunskill


Your model is predictive— but is it useful? Theoretical and Empirical Considerations of a New Paradigm for Adaptive Tutoring Evaluation
José González-Brenes and Yun Huang

Automated Session-Quality Assessment for Human Tutoring Based on Expert Ratings of Tutoring Success
Benjamin Nye, Donald Morrison and Borhan Samei

A Framework for Multifaceted Evaluation of Student Models
Yun Huang, José González-Brenes, Rohit Kumar and Peter Brusilovsky

Predicting Student Performance In a Collaborative Learning Environment
Jennifer Olsen, Vincent Aleven and Nikol Rummel

Learning Instructor Intervention from MOOC Forums: Early Results and Issues
Muthu Kumar Chandrasekaran, Min-Yen Kan, Bernard C.Y.Tan and Kiruthika Ragupathi

Investigating how student's cognitive behavior in MOOC discussion forum affect learning gains?
Xu Wang, Diyi Yang, Miaomiao Wen, Kenneth Koedinger and Carolyn Rose

Methodological Challenges in the Analysis of MOOC Data for Exploring the Relationship between Discussion Forum Views and Learning Outcomes
Yoav Bergner, Deirdre Kerr and David Pritchard

Influence Analysis by Heterogeneous Network in MOOC Forums: What can We Discover?
Zhuoxuan Jiang, Yan Zhang, Chi Liu and Xiaoming Li

Modeling Learners’ Social Centrality and Performance through Language and Discourse
Nia Dowell, Oleksandra Skrypnyk, Srecko Joksimovic, Arthur Graesser, Shane Dawson, Dragan Gaševic, Pieter de Vries, Thieme Hennis and Vitomir Kovanovic
You are your words: Modeling Students’ Vocabulary Knowledge with Natural Language Processing Techniques
Laura Allen and Danielle McNamara

Automatic Identification of Nutritious Contexts for Learning Vocabulary Words
Jack Mostow, Donna Gates, Ross Ellison and Rahul Goutam

Mining a written values affirmation intervention to identify the unique linguistic features of stigmatized groups
Travis Riddle, Sowmya Bhagavatula, Weiwei Guo, Smaranda Muresan, Geoff Cohen, Jonathan Cook and Valerie Purdie-Vaughns

Classifying Q&A from Teachers’ Speech: Moving Toward an Automated System of Dialogic Analysis
Nathaniel Blanchard, Sidney D'Mello, Andrew Olney and Martin Nystrand
Topic Transition in Educational Videos Using Visually Salient Words
Ankit Gandhi, Arijit Biswas and Om Deshmukh

YouEDU: Addressing Confusion in MOOC Discussion Forums by Recommending Instructional Video Clips
Akshay Agrawal, Jagadish Venkatraman, Shane Leonard and Andreas Paepcke

Seeing the Instructor in Two Video Styles: Preferences and Patterns
Suma Bhat, Phakpoom Chinprutthiwong and Michelle Perry

Using Partial Credit and Response History to Model User Knowledge
Eric Van Inwegen, Seth Adjei, Yan Wang and Neil Heffernan

Translating Head Motion into Attention - Towards Processing of Student's Body-Language
Mirko Raca, Lukasz Kidzinski and Pierre Dillenbourg

Using Visual Analytics Tool for Improving Data Comprehension
Jan Geryk

Data-driven Proficiency Profiling
Behrooz Mostafavi, Zhongxiu Liu and Tiffany Barnes

Estimating the Size of Unobserved Networks of Student-Tutor Interactions
Michael Eagle, Andrew Hicks and Tiffany Barnes

Why do the rich get richer? A structural equation model to test how spatial skills affect learning with representations
Martina Rau


Short Papers

Spectral Bayesian Knowledge Tracing
Mohammad Hassan Falakmasir, Michael Yudelson, Steve Ritter and Kenneth Koedinger
Goodness of fit of skills assessment approaches: Insights from patterns of real vs. synthetic data sets
Behzad Beheshti and Michel Desmarais

A Transfer Learning approach for applying Matrix Factorization to small ITS datasets
Lydia Voß, Carlotta Schatten, Claudia Mazziotti and Lars Schmidt-Thieme

Towards Understanding How to Leverage Sense-making, Induction/Refinement and Fluency to Improve Robust Learning
Shayan Doroudi, Kenneth Holstein, Vincent Aleven and Emma Brunskill

Learning Behavior Characterization with Multi-Feature, Hierarchical Activity Sequences
Cheng Ye, John S. Kinnebrew, James R. Segedy and Gautam Biswas.

Discrimination-Aware Classifiers for Student Performance Prediction
Ling Luo, Irena Koprinska and Wei Liu

Language to Completion: Success in an Educational Data Mining Massive Open Online Class
Scott Crossley, Danielle McNamara, Ryan Baker, Yuan Wang, Luc Paquette, Tiffany Barnes and Yoav Bergner

A comparative study of regression and classification algorithms for modelling students' academic performance
Pedro Strecht, Luis Cruz, Carlos Soares, João Mendes-Moreira and Rui Abreu.

Predicting Student Grade based on Free-style Comments using Word2Vec and ANN by Considering Prediction Results Obtained in Consecutive Lessons
Jingyi Luo, Shaymaa E.Sorour, Tsunenori Mine and Goda Kazumasa

Learning the Creative Potential of Students by Mining a Word Association Task
Cristian Olivares-Rodríguez and Mariluz Guenaga

Optimizing Partial Credit Algorithms to Predict Student Performance
Korinn Ostrow, Christopher Donnelly and Neil Heffernan.

Identifying Styles and Paths toward Success in MOOCs
Kshitij Sharma, Patrick Jermann and Pierre Dillenbourg

Analyzing student inquiry data using process discovery and sequence classification
Bruno Emond and Scott Buffett

Desirable Difficulty and Other Predictors of Effective Item Orderings
Steven Tang, Hannah Gogel, Elizabeth McBride and Zachary Pardos.

Variations in learning rate: Student clustering based on systematic residual error patterns across practice opportunities
Ran Liu and Kenneth R Koedinger
Evaluating Educational Videos using Bayesian Knowledge Tracing and Big Data
Zachary Machardy and Zachary Pardos

Measuring Problem Solving Skills in Plants vs. Zombies 2
Valerie Shute, Gregory Moore and Lubin Wang

Strategic Game Moves Mediate Implicit Science Learning
Elizabeth Rowe, Ryan Baker and Jodi Asbell-Clarke
Predicting learning-related emotions from students' textual classroom feedback
Nabeela Altrabsheh, Mihaela Cocea and Sanaz Fallahkhairs

Video-Based Affect Detection in Noninteractive Learning Environments
Yuxuan Chen, Nigel Bosch and Sidney D'Mello

Modeling Classroom Discourse: Do Models of Predicting Dialogic Instruction Properties Generalize across Populations?
Borhan Samei, Andrew Olney, Sean Kelly, Martin Nystrand, Sidney D'Mello, Nathan Blanchard and Art Graesser

Breaking Off Engagement: Readers’ Cognitive Decoupling as a Function of Reader and Text Characteristics
Patricia Goedecke, Daqi Dong, Genghu Shi, Shi Feng, Evan Risko, Andrew Olney, Sidney D'Mello and Arthur C. Graesser

Semantic Similarity Graphs of Mathematics Word Problems: Can Terminology Detection Help?
Rogers Jeffrey Leo John, Rebecca J. Passonneau and Thomas S. McTavish

An analysis of peer-submitted and peer-reviewed answer rationales in an web-based Peer Instruction based learning environment
Sameer Bhatnagar, Michel Desmarais, Chris Whittaker, Nathaniel Lasry, Michael Dugdale, Kevin Lenton and Elizabeth Charles

Learning Analytics Platform, towards an open scalable streaming solution for education
Nicholas Lewkow, Neil Zimmerman, Mark Riedesel and Alfred Essa

Improving Student Performance Using Nudge Analytics
Jacqueline Feild

Educational Reports That Scale Across Users and Data
Rob Rolleston, Richard Howe and Mary Ann Sprague

Mining Login Data For Actionable Student Insight
Lalitha Agnihotri, Ani Aghababyan, Shirin Mojarad, Mark Riedesel and Al Essa

Building Models to Predict Hint-or-Attempt Actions of Students
Francisco Enrique Vicente Castro, Seth Adjei, Tyler Colombo and Neil Heffernan

Metrics for Evaluation of Student ModelsAbstractJEDM link.
Radek Pelánek

Modeling Students' Memory for Application in Adaptive Educational Systems
Radek Pelánek

Psychological Effects of In-Group Activity Feedback in an Online Explanation Task: Lexical Network Analysis
Yugo Hayashi

Personalized Education; Solving a Group Formation and Scheduling Problem for Educational Content
Sanaz Bahargam, Dora Erdos, Azer Bestavros and Evimaria Terzi

An approach of collaboration analytics in MOOCs using social network analysis and influence diagram. Antonio R. Anaya, Jesús G. Boticario, Emilio Letón and Félix Hernández-Del-Olmo

On Convergence of Cognitive and Non-cognitive Behavior in Collaborative Activity
Diego Luna Bazaldua, Saad Khan, Alina von Davier, Jiangang Hao, Lei Liu and Zuowei Wang

The Impact of Small Learning Group Composition on Drop-Out Rate and Learning Performance in a MOOC
Zhilin Zheng, Tim Vogelsang and Niels Pinkwart
Exploring Causal Mechanisms in a Randomized Effectiveness Trial of the Cognitive Tutor Algebra I Program
Adam Sales and John Pane

Confounding Carelessness? Exploring Causal Relationships Between Carelessness, Affect, Behavior, and Learning in Cognitive Tutor Algebra Using Graphical Causal Models
Stephen Fancsali

Students at Risk: Detection and Remediation
Irena Koprinska, Joshua Stretton and Kalina Yacef

Intelligent Tutor Recommender System for On-Line Educational Environments
Cristian Mihaescu, Paul Stefan Popescu and Costel Ionascu

Discovering the Pedagogical Resources that Assist Students to Answer Questions Correctly – A Machine Learning Approach
Giora Alexandron, Qian Zhou and David Pritchard

Using Topic Segmentation Models for the Automatic Organisation of MOOCs resources
Ghada Alharbi and Thomas Hain

How High School, College, and Online Students Differentially Engage with an Interactive Digital Textbook
Jeremy Warner, John Doorenbos, Bradley Miller and Philip Guo.

Modeling Exercise Relationships in E-Learning: A Unified Approach
Haw-Shiuan Chang, Hwai-Jung Hsu and Kuan-Ta Chen.
A new distance measure for collaborative filtering in adaptive tutoring system
Peter Halkier Nicolajsen and Barbara Plank

Exploring the influence of ICT in online education through data mining tools
Javier Bravo, Sonia Janeth Romero, María Luna and Sonia Pamplona

Understanding Revision Planning in Peer-Reviewed Writing
Alok Baikadi, Christian Schunn and Kevin Ashley

Convergent Validity of a Student Model: Recent-Performance Factors Analysis
Ilya Goldin and April Galyardt

Posters and Demos

Shumin Jing. Automatic Grading of Short Answers for MOOC via Semi-supervised Document Clustering.

Alejandro Bogarin, Cristobal Romero and Rebeca Cerezo. Discovering students’ navigation paths in Moodle.

Arnon Hershkovitz, Agathe Merceron and Amran Shamaly. Teacher-Student Classroom Interactions: A Computational Approach.

Radek Pelánek. Modeling Student Learning: Binary or Continuous Skill?

Jan Papoušek, Radek Pelánek, Jiří Řihák and Vít Stanislav. An Analysis of Response Times in Adaptive Practice of Geography Facts.

Erica Snow, Maria Ofelia San Pedro, Matthew Jacovina, Danielle McNamara and Ryan Baker. Achievement versus Experience: Predicting Students’ Choices during Gameplay.

Ruth Janning, Carlotta Schatten and Lars Schmidt-Thieme. How to Aggregate Multimodal Features for Perceived Task Difficulty Recognition in Intelligent Tutoring Systems.

Krzysztof Jędrzejewski, Mikołaj Bogucki, Mikołaj Olszewski, Jan Zwoliński and Kacper Łodzikowski. Teacher and learner behaviour in an online EFL workbook.

Ailiya Borjigin, Chunyan Miao, Zhiqi Shen and Zhiwei Zeng. Skill Assessment Using Behavior Data in Virtual World.

Lorenzo Vigentini and Andrew Claypahn. Pacing through MOOCs: course design or teaching effect?

Igor Jugo, Božidar Kovačić and Vanja Slavuj. Integrating a Web-based ITS with DM tools for Providing Learning Path Optimization and Visual Analytics.

Rebeca Cerezo, Miguel Sanchez-Santillan, Jose C Nuñez and M. Puerto Paule. Different patterns of students´ interaction with Mooodle and their relationship with achievement.

Jordi Cuadros, Lucinio Gonzalez, Susana Romero, M. Luz Guenaga, Javier Garcia-Zubia and Pablo Orduña. Educational Data Mining in an Open-Ended Remote Laboratory on Electric Circuits. Goals and Preliminary Results.

Ren Wang and Osmar Zaïane. Discovering Process in Curriculum Data to Provide Recommendation.

Xiaolu Xiong and Joseph Beck. Improving Long-Term Retention Level in an Environment of Personalized Expanding Intervals.

Michael Eagle, Rebecca Brown, Elizabeth Rowe, Tiffany Barnes, Jodi Asbell-Clarke and Teon Edwards. Exploring Problem-Solving Behavior in an Optics Game.

Luc Paquette, Jaclyn Ocumpaugh and Ryan Baker. Simulating Multi-Subject Momentary Time Sampling.

Fazel Keshtkar, Jordan Cowart, Ben Kingen and Andrew Crutcher. Analyzing Students' Interaction based on their Response to Determine Their Learning Outcomes.

Richard Tibbles. Exploring the Impact of Spacing in Mathematics Learning through Data Mining.

Ahcène Boubekki, Ulf Kröhne, Frank Goldhammer, Waltraud Schreiber and Ulf Brefeld. Toward Data-Driven Analyses of Electronic Text Books.

Matthew Jacovina, Erica Snow, Laura Allen, Rod Roscoe, Jennifer Weston, Jianmin Dai and Danielle McNamara. How to Visualize Success: Presenting Complex Data in a Writing Strategy Tutor.

Mikel Villamañe, Mikel Larrañaga, Ainhoa Alvarez and Begoña Ferrero. Adjusting the weights of assessment elements in the evaluation of Final Year Projects.

Samara Ruiz, Maite Urretavizcaya and Isabel Fernandez-Castro. Predicting students’ outcome by interaction monitoring.

Borhan Samei, Vasile Rus, Benjamin Nye and Donald M. Morrison. Hierarchical Dialogue Act Classification in Online Tutoring Sessions.

Hana Bydžovská. Towards Freshmen Performance Prediction.

Ahcene Boubekki, Ulf Brefeld and Thomas Delacroix. Generalising IRT to Discriminate Between Examinees.

Diego García-Saiz and Marta Zorrilla. Detection of learners with a performance inconsistent with their effort.

Cyril Goutte, Serge Léger and Guillaume Durand. A Probabilistic Model for Knowledge Component Naming.

Thomas Price, Collin Lynch, Tiffany Barnes and Min Chi. An Improved Data-Driven Hint Selection Algorithm for Probability Tutors.

Rebecca Brown, Collin Lynch, Michael Eagle, Jennifer Albert, Tiffany Barnes, Ryan Baker, Yoav Bergner and Danielle McNamara. Good Communities and Bad Communities: Does membership affect performance?

Diego Riofrío and Jaime Ramírez. A Model for Student Action Prediction in 3D Virtual Environments for Procedural Training.

Caitlin Tenison and Christopher Maclellan. The Impact of Instructional Intervention and Practice on Help-Seeking Strategies within an ITS.

Jill-Jênn Vie, Fabrice Popineau, Jean-Bastien Grill, Éric Bruillard and Yolaine Bourda. Predicting Performance on Dichotomous Questions: Comparing Models for Large-Scale Adaptive Testing.

Eric Van Inwegen, Yan Wang, Seth Adjei and Neil Heffernan. The Effect of the Distribution of Predictions of User Models.

Anthony F. Botelho, Seth A. Adjei, Hao Wan and Neil T. Heffernan. Predicting Student Aptitude Using Performance History.

Jagadeesh Chandra Bose R P, Om Deshmukh and Ravindra Bhavanam. Discovering Concept Maps from Textual Sources.

Chaitanya Ramineni, Tiago Caliço and Chen Li. Integrating Process and Product Data: The Case of an Automated Writing Evaluation System.

Antonio Moretti, Kathy McKnight and Ansaf Salleb-Aouissi. Application of Sentiment and Topic Analysis to Teacher Evaluation Policy in the U.S.

Kim Kelly, Yan Wang, Tamisha Thompson and Neil Heffernan. Defining Mastery: Knowledge Tracing Versus N- Consecutive Correct Responses.

Benjamin Paaßen, Bassam Mokbel and Barbara Hammer. A Toolbox for Adaptive Sequence Dissimilarity Measures for Intelligent Tutoring Systems. (demo)

Steven Ritter and Stephen Fancsali. Carnegie Learning’s Cognitive Tutor. (demo)

Devendra Singh Chaplot, Eunhee Rhim and Jihie Kim. SAP: Student Attrition Predictor. (demo)


Session 4A JEDM Track (Chair: Michel Desmarais)



April Galyardt, Ilya GoldinMove your lamp post: Recent data reflects learner knowledge better than older dataAbstract. JEDM link.

Benjamin Clement , Didier Roy , Pierre-Yves Oudeyer, Manuel LopesMulti-Armed Bandits for Intelligent Tutoring SystemsAbstractJEDM link.

Aditi Mallavarapu, Leilah Lyons,Tia Shelley, Brian Slattery, Moira Zellner, Emily Minor. Developing Computational Methods to Measure and Track Learners’ Spatial Reasoning in an Open-Ended SimulationAbstract. JEDM link.