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ORCID8th EDM 2015: Madrid, Spain
- Olga C. Santos, Jesus Boticario, Cristóbal Romero, Mykola Pechenizkiy, Agathe Merceron, Piotr Mitros, José María Luna, Marian Cristian Mihaescu, Pablo Moreno, Arnon Hershkovitz, Sebastián Ventura, Michel C. Desmarais:
Proceedings of the 8th International Conference on Educational Data Mining, EDM 2015, Madrid, Spain, June 26-29, 2015. International Educational Data Mining Society (IEDMS) 2015, ISBN 978-8-4606-9425-0
Invited Talks (abstracts)
- Luis von Ahn, Matthew J. Streeter:
Behind the Scenes of Duolingo. 3 - George Siemens, Ryan S. Baker, Dragan Gasevic:
Personal Knowledge/Learning Graph. 5 - Pekka Räsänen:
Educational Neuroscience as a Tool to Understand Learning and Learning Disabilities in Mathematics. 7
Panels (abstracts)
- Ryan S. Baker, John Carney, Piotr Mitros, Bror Saxberg, John C. Stamper:
The Future of Practical Applications of EDM at Scale. 11 - Dragan Gasevic, Taylor Martin, Zachary A. Pardos, Mykola Pechenizkiy, John C. Stamper, Osmar R. Zaïane:
Ethics and Privacy in EDM. 13 - Ryan S. Baker, Peter Brusilovsky, Dragan Gasevic, Neil T. Heffernan, Mykola Pechenizkiy, Alyssa Friend Wise:
Grand Challenges for EDM and Related Research Areas. 15
JEDM Track journal papers (abstracts)
- Radek Pelánek:
Metrics for Evaluation of Student Models. 19 - Benjamin Clément, Didier Roy, Pierre-Yves Oudeyer, Manuel Lopes:
Multi-Armed Bandits for Intelligent Tutoring Systems. 21 - Aditi Mallavarapu, Leilah Lyons, Tia Shelley, Brian Slattery, Moira L. Zellner, Emily Minor:
Developing Computational Methods to Measure and Track Learners' Spatial Reasoning in an Open-Ended Simulation. 23 - April Galyardt, Ilya M. Goldin:
Move your lamp post: Recent data reflects learner knowledge better than older data. 25
Full Papers
- Michel C. Desmarais, Peng Xu, Behzad Beheshti:
A Partition Tree Approach to Combine Techniques to Refine Item to Skills Q-Matrices. 29-36 - Severin Klingler, Tanja Käser, Barbara Solenthaler, Markus H. Gross:
On the Performance Characteristics of Latent-Factor and Knowledge Tracing Models. 37-44 - Matthew J. Streeter:
Mixture Modeling of Individual Learning Curves. 45-52 - Christopher J. MacLellan, Ran Liu, Kenneth R. Koedinger:
Accounting for Slipping and Other False Negatives in Logistic Models of Student Learning. 53-60 - Engin Bumbacher, Shima Salehi, Miriam Wierzchula, Paulo Blikstein:
Learning Environments and Inquiry Behaviors in Science Inquiry Learning: How Their Interplay Affects the Development of Conceptual Understanding in Physics. 61-68 - Caitlin Mills, Sidney K. D'Mello:
Toward a Real-time (Day) Dreamcatcher: Detecting Mind Wandering Episodes During Online Reading. 69-76 - Shiming Kai, Luc Paquette, Ryan S. Baker, Nigel Bosch, Sidney K. D'Mello, Jaclyn Ocumpaugh, Valerie Shute, Matthew Ventura:
A Comparison of Face-based and Interaction-based Affect Detectors in Physics Playground. 77-84 - Maria Ofelia San Pedro, Erica L. Snow, Ryan S. Baker, Danielle S. McNamara, Neil T. Heffernan:
Exploring Dynamical Assessments of Affect, Behavior, and Cognition and Math State Test Achievement. 85-92 - Luc Paquette, Jonathan P. Rowe, Ryan S. Baker, Bradford W. Mott, James C. Lester, Jeanine DeFalco, Keith W. Brawner, Robert A. Sottilare, Vasiliki Georgoulas:
Sensor-Free or Sensor-Full: A Comparison of Data Modalities in Multi-Channel Affect Detection. 93-100 - Noboru Matsuda, Tadanobu Furukawa, Norman L. Bier, Christos Faloutsos:
Machine Beats Experts: Automatic Discovery of Skill Models for Data-Driven Online Courseware Refinement. 101-108 - Juraj Niznan, Radek Pelánek, Jirí Rihák:
Student Models for Prior Knowledge Estimation. 109-116 - Yang Chen, Pierre-Henri Wuillemin, Jean-Marc Labat:
Discovering Prerequisite Structure of Skills through Probabilistic Association Rules Mining. 117-124 - Aysu Ezen-Can, Kristy Elizabeth Boyer:
Choosing to Interact: Exploring the Relationship Between Learner Personality, Attitudes, and Tutorial Dialogue Participation. 125-128 - Hao Wan, Joseph Beck:
Considering the Influence of Prerequisite Performance on Wheel Spinning. 129-135 - Yang Jiang, Luc Paquette, Ryan S. Baker, Jody Clarke-Midura:
Comparing Novice and Experienced Students in Virtual Performance Assessments. 136-143 - Charles Lang, Neil T. Heffernan, Korinn Ostrow, Yutao Wang:
The Impact of Incorporating Student Confidence Items into an Intelligent Tutor: A Randomized Controlled Trial. 144-149 - Ryan S. Baker, David Lindrum, Mary Jane Lindrum, David Perkowski:
Analyzing Early At-Risk Factors in Higher Education e-Learning Courses. 150-155 - Mirka Saarela, Tommi Kärkkäinen:
Do Country Stereotypes Exist in Educational Data? A Clustering Approach for Large, Sparse, and Weighted Data. 156-153 - Jennifer Sabourin, Lucy Kosturko, Clare Fitzgerald, Scott W. McQuiggan:
Student Privacy and Educational Data Mining: Perspectives from Industry. 164-170 - Jacob Whitehill, Joseph Jay Williams, Glenn Lopez, Cody A. Coleman, Justin Reich:
Beyond Prediction: Towards Automatic Intervention in MOOC Student Stop-out. 171-178 - Joseph Rollinson, Emma Brunskill:
From Predictive Models to Instructional Policies. 179-186 - José P. González-Brenes, Yun Huang:
Your Model Is Predictive - but Is It Useful? Theoretical and Empirical Considerations of a New Paradigm for Adaptive Tutoring Evaluation. 187-194 - Benjamin Nye, Donald M. Morrison, Borhan Samei:
Automated Session-Quality Assessment for Human Tutoring Based on Expert Ratings of Tutoring Success. 195-202 - Yun Huang, José P. González-Brenes, Rohit Kumar, Peter Brusilovsky:
A Framework for Multifaceted Evaluation of Student Models. 203-210 - Jennifer K. Olsen, Vincent Aleven, Nikol Rummel:
Predicting Student Performance In a Collaborative Learning Environment. 211-217 - Muthu Kumar Chandrasekaran, Min-Yen Kan, Bernard C. Y. Tan, Kiruthika Ragupathi:
Learning Instructor Intervention from MOOC Forums: Early Results and Issues. 218-225 - Xu Wang, Diyi Yang, Miaomiao Wen, Kenneth R. Koedinger, Carolyn P. Rosé:
Investigating How Student's Cognitive Behavior in MOOC Discussion Forum Affect Learning Gains. 226-233 - Yoav Bergner, Deirdre Kerr, David E. Pritchard:
Methodological Challenges in the Analysis of MOOC Data for Exploring the Relationship between Discussion Forum Views and Learning Outcomes. 234-241 - Zhuoxuan Jiang, Yan Zhang, Chi Liu, Xiaoming Li:
Influence Analysis by Heterogeneous Network in MOOC Forums: What can We Discover? 242-249 - Nia Dowell, Oleksandra Skrypnyk, Srecko Joksimovic, Arthur C. Graesser, Shane Dawson, Dragan Gasevic, Pieter de Vries, Thieme Hennis, Vitomir Kovanovic:
Modeling Learners' Social Centrality and Performance through Language and Discourse. 250-257 - Laura K. Allen, Danielle S. McNamara:
You are your words: Modeling Students' Vocabulary Knowledge with Natural Language Processing Techniques. 258-265 - Jack Mostow, Donna Gates, Ross Ellison, Rahul Goutam:
Automatic Identification of Nutritious Contexts for Learning Vocabulary Words. 266-273 - Travis Riddle, Sowmya Bhagavatula, Weiwei Guo, Smaranda Muresan, Geoff Cohen, Jonathan E. Cook, Valerie Purdie-Vaughns:
Mining a Written Values Affirmation Intervention to Identify the Unique Linguistic Features of Stigmatized Groups. 274-281 - Nathaniel Blanchard, Sidney K. D'Mello, Andrew Olney, Martin Nystrand:
Classifying Q&A from Teachers' Speech: Moving Toward an Automated System of Dialogic Analysis. 282-288 - Ankit Gandhi, Arijit Biswas, Om Deshmukh:
Topic Transition in Educational Videos Using Visually Salient Words. 289-296 - Akshay Agrawal, Jagadish Venkatraman, Shane Leonard, Andreas Paepcke:
YouEDU: Addressing Confusion in MOOC Discussion Forums by Recommending Instructional Video Clips. 297-304 - Suma Bhat, Phakpoom Chinprutthiwong, Michelle Perry:
Seeing the Instructor in Two Video Styles: Preferences and Patterns. 305-312 - Eric Van Inwegen, Seth Adjei, Yan Wang, Neil T. Heffernan:
Using Partial Credit and Response History to Model User Knowledge. 313-319 - Mirko Raca, Lukasz Kidzinski, Pierre Dillenbourg:
Translating Head Motion into Attention - Towards Processing of Student's Body-Language. 320-326 - Jan Géryk:
Using Visual Analytics Tool for Improving Data Comprehension. 327-334 - Behrooz Mostafavi, Zhongxiu Liu, Tiffany Barnes:
Data-Driven Proficiency Profiling. 335-341 - Michael Eagle, Andrew Hicks, Tiffany Barnes:
Interaction Network Estimation: Predicting Problem-Solving Diversity in Interactive Environments. 342-349 - Martina A. Rau:
Why Do the Rich Get Richer? A Structural Equation Model to Test How Spatial Skills Affect Learning with Representations. 350-357
Short Papers
- Mohammad Hassan Falakmasir, Michael Yudelson, Steven Ritter, Kenneth R. Koedinger:
Spectral Bayesian Knowledge Tracing. 360-363 - Francesc Martori, Jordi Cuadros, Lucinio González-Sabaté:
Direct Estimation of the Minimum RSS Value for Training Bayesian Knowledge Tracing Parameters. 364-367 - Behzad Beheshti, Michel C. Desmarais:
Goodness of Fit of Skills Assessment Approaches: Insights from Patterns of Real vs. Synthetic Data Sets. 368-371 - Lydia Voß, Carlotta Schatten, Claudia Mazziotti, Lars Schmidt-Thieme:
A Transfer Learning Approach for Applying Matrix Factorization to Small ITS Datasets. 372-375 - Shayan Doroudi, Kenneth Holstein, Vincent Aleven, Emma Brunskill:
Towards Understanding How to Leverage Sense-making, Induction/Refinement and Fluency to Improve Robust Learning. 376-379 - Cheng Ye, John S. Kinnebrew, James René Segedy, Gautam Biswas:
Learning Behavior Characterization with Multi-Feature, Hierarchical Activity Sequences. 380-383 - Ling Luo, Irena Koprinska, Wei Liu:
Discrimination-Aware Classifiers for Student Performance Prediction. 384-387 - Scott A. Crossley, Danielle S. McNamara, Ryan S. Baker, Yuan Wang, Luc Paquette, Tiffany Barnes, Yoav Bergner:
Language to Completion: Success in an Educational Data Mining Massive Open Online Class. 388-391 - Pedro Strecht, Luis Cruz, Carlos Soares, João Mendes-Moreira, Rui Abreu:
A Comparative Study of Regression and Classification Algorithms for Modelling Students' Academic Performance. 392-395 - Jingyi Luo, Shaymaa E. Sorour, Tsunenori Mine, Kazumasa Goda:
Predicting Student Grade based on Free-style Comments using Word2Vec and ANN by Considering Prediction Results Obtained in Consecutive Lessons. 396-399 - Cristian Olivares-Rodríguez, Mariluz Guenaga:
Learning the Creative Potential of Students by Mining a Word Association Task. 400-403 - Korinn Ostrow, Christopher Donnelly, Neil T. Heffernan:
Optimizing Partial Credit Algorithms to Predict Student Performance. 404-407 - Kshitij Sharma, Patrick Jermann, Pierre Dillenbourg:
Identifying Styles and Paths toward Success in MOOCs. 408-411 - Bruno Emond, Scott Buffett:
Analyzing Student Inquiry Data Using Process Discovery and Sequence Classification. 412-415 - Steven Tang, Hannah Gogel, Elizabeth A. McBride, Zachary A. Pardos:
Desirable Difficulty and Other Predictors of Effective Item Orderings. 416-419 - Ran Liu, Kenneth R. Koedinger:
Variations in Learning Rate: Student Clustering Based on Systematic Residual Error Patterns Across Practice Opportunities. 420-423 - Zachary MacHardy, Zachary A. Pardos:
Evaluating Educational Videos using Bayesian Knowledge Tracing and Big Data. 424-427 - Valerie Shute, Gregory R. Moore, Lubin Wang:
Measuring Problem Solving Skills in Plants vs. Zombies 2. 428-431 - Elizabeth Rowe, Ryan S. Baker, Jodi Asbell-Clarke:
Strategic Game Moves Mediate Implicit Science Learning. 432-435 - Nabeela Altrabsheh, Mihaela Cocea, Sanaz Fallahkhair:
Predicting Learning-Related Emotions from Students' Textual Classroom Feedback. 436-439 - Yuxuan Chen, Nigel Bosch, Sidney K. D'Mello:
Video-Based Affect Detection in Noninteractive Learning Environments. 440-443 - Borhan Samei, Andrew Olney, Sean Kelly, Martin Nystrand, Sidney K. D'Mello, Nathaniel Blanchard, Arthur C. Graesser:
Modeling Classroom Discourse: Do Models of Predicting Dialogic Instruction Properties Generalize across Populations? 444-447 - Patricia Goedecke, Daqi Dong, Genghu Shi, Shi Feng, Evan F. Risko, Andrew Olney, Sidney K. D'Mello, Arthur C. Graesser:
Breaking Off Engagement: Readers' Cognitive Decoupling as a Function of Reader and Text Characteristics. 448-451 - Rogers Jeffrey Leo John, Rebecca J. Passonneau, Thomas S. McTavish:
Semantic Similarity Graphs of Mathematics Word Problems: Can Terminology Detection Help? 452-455 - Sameer Bhatnagar, Michel C. Desmarais, Chris Whittaker, Nathaniel Lasry, Michael Dugdale, Kevin Lenton, Elizabeth S. Charles:
An Analysis of Peer-submitted and Peer-reviewed Answer Rationales in a Web-based Peer Instruction Based Learning Environment. 456-459 - Nicholas Lewkow, Neil L. Zimmerman, Mark Riedesel, Alfred Essa:
Learning Analytics Platform. Towards an Open Scalable Streaming Solution for Education. 460-463 - Jacqueline L. Feild:
Improving Student Performance Using Nudge Analytics. 464-467 - Rob Rolleston, Richard Howe, Mary Ann Sprague:
Educational Reports That Scale Across Users and Data. 468-471 - Lalitha Agnihotri, Ani Aghababyan, Shirin Mojarad, Mark Riedesel, Alfred Essa:
Mining Login Data For Actionable Student Insight. 472-475 - Francisco Enrique Vicente Castro, Seth Adjei, Tyler Colombo, Neil T. Heffernan:
Building Models to Predict Hint-or-Attempt Actions of Students. 476-479 - Radek Pelánek:
Modeling Students' Memory for Application in Adaptive Educational Systems. 480-483 - Yugo Hayashi:
Psychological Effects of In-Group Activity Feedback in an Online Explanation Task: Lexical Network Analysis. 484-487 - Sanaz Bahargam, Dóra Erdös, Azer Bestavros, Evimaria Terzi:
Personalized Education; Solving a Group Formation and Scheduling Problem for Educational Content. 488-491 - Antonio R. Anaya, Jesús González-Boticario, Emilio Letón, Félix Hernández-del-Olmo:
An Approach of Collaboration Analytics in MOOCs Using Social Network Analysis and Influence Diagram. 492-495 - Diego Luna Bazaldua, Saad M. Khan, Alina A. von Davier, Jiangang Hao, Lei Liu, Zuowei Wang:
On Convergence of Cognitive and Non-cognitive Behavior in Collaborative Activity. 496-499 - Zhilin Zheng, Tim Vogelsang, Niels Pinkwart:
The Impact of Small Learning Group Composition on Drop-Out Rate and Learning Performance in a MOOC. 500-503 - Adam Sales, John Pane:
Exploring Causal Mechanisms in a Randomized Effectiveness Trial of the Cognitive Tutor Algebra I Program. 504-507 - Stephen Fancsali:
Confounding Carelessness? Exploring Causal Relationships Between Carelessness, Affect, Behavior, and Learning in Cognitive Tutor Algebra Using Graphical Causal Models. 508-511 - Irena Koprinska, Joshua Stretton, Kalina Yacef:
Students at Risk: Detection and Remediation. 512-515 - Marian Cristian Mihaescu, Paul-Stefan Popescu, Costel Marian Ionascu:
Intelligent Tutor Recommender System for On-Line Educational Environments. 516-519 - Giora Alexandron, Qian Zhou, David E. Pritchard:
Discovering the Pedagogical Resources that Assist Students to Answer Questions Correctly - A Machine Learning Approach. 520-523 - Ghada AlHarbi, Thomas Hain:
Using Topic Segmentation Models for the Automatic Organisation of MOOCs resources. 524-527 - Jeremy Warner, John Doorenbos, Bradley N. Miller, Philip J. Guo:
How High School, College, and Online Students Differentially Engage with an Interactive Digital Textbook. 528-531 - Haw-Shiuan Chang, Hwai-Jung Hsu, Kuan-Ta Chen:
Modeling Exercise Relationships in E-Learning: A Unified Approach. 532-535 - Peter Halkier Nicolajsen, Barbara Plank:
Using Knowledge Components for Collaborative Filtering in Adaptive Tutoring Systems. 536-539 - Javier Bravo, Sonia J. Romero, José María Luna, Sonia Pamplona:
Exploring the Influence of ICT in online Education Through Data Mining Tools. 540-543 - Alok Baikadi, Christian Schunn, Kevin D. Ashley:
Understanding Revision Planning in Peer-Reviewed Writing. 544-547 - Ilya M. Goldin, April Galyardt:
Convergent Validity of a Student Model: Recent-Performance Factors Analysis. 548-551
Posters and Demos
- Shumin Jing:
Automatic Grading of Short Answers for MOOC via Semi-supervised Document Clustering. 554-555 - Alejandro Bogarín, Cristóbal Romero, Rebeca Cerezo:
Discovering Students' Navigation Paths in Moodle. 556-557 - Arnon Hershkovitz, Agathe Merceron, Amran Shamaly:
Teacher-Student Classroom Interactions: A Computational Approach. 558-559 - Radek Pelánek:
Modeling Student Learning: Binary or Continuous Skill? 560-561 - Jan Papousek, Radek Pelánek, Jirí Rihák, Vít Stanislav:
An Analysis of Response Times in Adaptive Practice of Geography Facts. 562-563 - Erica L. Snow, Maria Ofelia San Pedro, Matthew E. Jacovina, Danielle S. McNamara, Ryan S. Baker:
Achievement versus Experience: Predicting Students' Choices during Gameplay. 564-565 - Ruth Janning, Carlotta Schatten, Lars Schmidt-Thieme:
How to Aggregate Multimodal Features for Perceived Task Difficulty Recognition in Intelligent Tutoring Systems. 566-567 - Krzysztof Jedrzejewski, Mikolaj Bogucki, Mikolaj Olszewski, Jan Zwolinski, Kacper Lodzikowski:
Teacher and Learner Behaviour in an Online EFL Workbook. 568-569 - Ailiya Borjigin, Chunyan Miao, Zhiqi Shen, Zhiwei Zeng:
Skill Assessment Using Behavior Data in Virtual World. 570-571 - Lorenzo Vigentini, Andrew Clayphan:
Pacing through MOOCs: Course Design or Teaching Effect? 572-573 - Igor Jugo, Bozidar Kovacic, Vanja Slavuj:
Integrating a Web-based ITS with DM tools for Providing Learning Path Optimization and Visual Analytics. 574-575 - Rebeca Cerezo, Miguel Sánchez-Santillán, José C. Nuñez, M. Puerto Paule-Ruíz:
Different Patterns of Students' Interaction with Mooodle and Their Relationship with Achievement. 576-577 - Jordi Cuadros, Lucinio González-Sabaté, Susana Romero, Mari Luz Guenaga, Javier García-Zubía, Pablo Orduña:
Educational Data Mining in an Open-Ended Remote Laboratory on Electric Circuits. Goals and Preliminary Results. 578-579 - Ren Wang, Osmar R. Zaïane:
Discovering Process in Curriculum Data to Provide Recommendation. 580-581 - Xiaolu Xiong, Joseph Barbosa Beck:
Improving Long-Term Retention Level in an Environment of Personalized Expanding Intervals. 582-583 - Michael Eagle, Rebecca Brown, Elizabeth Rowe, Tiffany Barnes, Jodi Asbell-Clarke, Teon Edwards:
Exploring Problem-Solving Behavior in an Optics Game. 584-585 - Luc Paquette, Jaclyn Ocumpaugh, Ryan S. Baker:
Simulating Multi-Subject Momentary Time Sampling. 586-587 - Fazel Keshtkar, Jordan Cowart, Ben Kingen, Andrew Crutcher:
Analyzing Students' Interaction Based on Their Response to Determine Their Learning Outcomes. 588-589 - Richard Tibbles:
Exploring the Impact of Spacing in Mathematics Learning through Data Mining. 590-591 - Ahcène Boubekki, Ulf Kröhne, Frank Goldhammer, Waltraud Schreiber, Ulf Brefeld:
Toward Data-Driven Analyses of Electronic Text Books. 592-593 - Matthew E. Jacovina, Erica L. Snow, Laura K. Allen, Rod D. Roscoe, Jennifer L. Weston, Jianmin Dai, Danielle S. McNamara:
How to Visualize Success: Presenting Complex Data in a Writing Strategy Tutor. 594-595 - Mikel Villamañe, Mikel Larrañaga, Ainhoa Alvarez, Begoña Ferrero:
Adjusting the weights of assessment elements in the evaluation of Final Year Projects. 596-597 - Samara Ruiz, Maite Urretavizcaya, Isabel Fernández-Castro:
Predicting Students' Outcome by Interaction Monitoring. 598-599 - Borhan Samei, Vasile Rus, Benjamin Nye, Donald M. Morrison:
Hierarchical Dialogue Act Classification in Online Tutoring Sessions. 600-601 - Hana Bydzovská:
Towards Freshmen Performance Prediction. 602-603 - Ahcène Boubekki, Ulf Brefeld, Thomas Delacroix:
Generalising IRT to Discriminate Between Examinees. 604-605 - Diego García-Saiz, Marta E. Zorrilla:
Detection of Learners with a Performance Inconsistent with Their Effort. 606-607 - Cyril Goutte, Serge Léger, Guillaume Durand:
A Probabilistic Model for Knowledge Component Naming. 608-609 - Thomas W. Price, Collin F. Lynch, Tiffany Barnes, Min Chi:
An Improved Data-Driven Hint Selection Algorithm for Probability Tutors. 610-611 - Rebecca Brown, Collin F. Lynch, Michael Eagle, Jennifer L. Albert, Tiffany Barnes, Ryan S. Baker, Yoav Bergner, Danielle S. McNamara:
Good Communities and Bad Communities: Does Membership Affect Performance? 612-613 - Diego Riofrío-Luzcando, Jaime Ramírez:
A Model for Student Action Prediction in 3D Virtual Environments for Procedural Training. 614-615 - Caitlin Tenison, Christopher J. MacLellan:
The Impact of Instructional Intervention and Practice on Help-Seeking Strategies within an ITS. 616-617 - Jill-Jênn Vie, Fabrice Popineau, Jean-Bastien Grill, Eric Bruillard, Yolaine Bourda:
Predicting Performance on Dichotomous Questions: Comparing Models for Large-Scale Adaptive Testing. 618-619 - Eric Van Inwegen, Yan Wang, Seth Adjei, Neil T. Heffernan:
The Effect of the Distribution of Predictions of User Models. 620-621 - Anthony F. Botelho, Seth Akonor Adjei, Hao Wan, Neil T. Heffernan:
Predicting Student Aptitude Using Performance History. 622-623 - R. P. Jagadeesh Chandra Bose, Om Deshmukh, Ravindra Bhavanam:
Discovering Concept Maps from Textual Sources. 624-625 - Chaitanya Ramineni, Tiago Caliço, Chen Li:
Integrating Process and Product Data: The Case of an Automated Writing Evaluation System. 626-627 - Antonio Moretti, Kathy McKnight, Ansaf Salleb-Aouissi:
Application of Sentiment and Topic Analysis to Teacher Evaluation Policy in the U.S. 628-629 - Kim M. Kelly, Yan Wang, Tamisha Thompson, Neil T. Heffernan:
Defining Mastery: Knowledge Tracing Versus N- Consecutive Correct Responses. 630-631 - Benjamin Paaßen, Bassam Mokbel, Barbara Hammer:
A Toolbox for Adaptive Sequence Dissimilarity Measures for Intelligent Tutoring Systems. 632 - Steven Ritter
, Stephen Fancsali:
Carnegie Learning's Cognitive Tutor. 633-634 - Devendra Singh Chaplot, Eunhee Rhim, Jihie Kim:
SAP: Student Attrition Predictor. 635-636
Doctoral Consortium
- Erica L. Snow:
Dynamic User Modeling within a Game-Based ITS. 639-641 - Jirí Rihák:
Use of Time Information in Models behind Adaptive Practice System for Building Fluency in Mathematics. 642-644 - Huong May Truong:
Integrating Learning Styles into Adaptive e-Learning System. 645-647 - Juraj Niznan:
Modeling Speed-Accuracy Tradeoff in Adaptive System for Practicing Estimation. 648-650 - Jim Cunningham:
Reimagining Khan Analytics for Student Coaches. 651-652 - Paul-Stefan Popescu:
Data Analysis Tools and Methods for Improving the Interaction Design in e-Learning. 653-655 - Maria Ofelia San Pedro:
Assessing the Roles of Student Engagement and Academic Emotions within Middle School Computer-Based Learning in College-Going Pathways. 656-658 - Laura K. Allen:
Who Do You Think I Am? Modeling Individual Differences for More Adaptive and Effective Instruction. 659-661 - Kim M. Kelly:
Developing Self-Regulated Learners Through an Intelligent Tutoring System. 662-664 - Zhongxiu Liu:
Data-driven Hint Generation from Peer Debugging Solutions. 665-667 - Korinn Ostrow:
Enhancing Student Motivation and Learning Within Adaptive Tutors. 668-670 - Michael Eagle:
Estimating the Local Size and Coverage of Interaction Network Regions. 671-673
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