Abstract is missing.
- Effort-based Tutoring: An Empirical Approach to Intelligent TutoringIvon Arroyo, Hasmik Meheranian, Beverly Park Woolf. 1-10 [doi]
- An Analysis of the Differences in the Frequency of Students Disengagement in Urban, Rural, and Suburban High SchoolsRyan Shaun Joazeiro de Baker, Sujith M. Gowda. 11-20 [doi]
- On the Faithfulness of Simulated Student Performance DataMichel C. Desmarais, Ildikó Pelczer. 21-30 [doi]
- Mining Bodily Patterns of Affective Experience during LearningSidney K. D Mello, Arthur C. Graesser. 31-40 [doi]
- Can We Get Better Assessment From A Tutoring System Compared to Traditional Paper Testing? Can We Have Our Cake (Better Assessment) and Eat It too (Student Learning During the Test)?Mingyu Feng, Neil T. Heffernan. 41-50 [doi]
- Using Neural Imaging and Cognitive Modeling to Infer Mental States while Using an Intelligent Tutoring SystemJon M. Fincham, John R. Anderson, Shawn Betts, Jennifer Ferris. 51-60 [doi]
- Using multiple Dirichlet distributions to improve parameter plausibilityYue Gong, Joseph E. Beck, Neil T. Heffernan. 61-70 [doi]
- Examining Learner Control in a Structured Inquiry Cycle Using Process MiningLarry Howard, Julie Johnson, Carin Neitzel. 71-80 [doi]
- Analysis of Productive Learning Behaviors in a Structured Inquiry Cycle Using Hidden Markov ModelsHogyeong Jeong, Gautam Biswas, Julie Johnson, Larry Howard. 81-90 [doi]
- Data Mining for Generating Hints in a Python TutorAnna Katrina Dominguez, Kalina Yacef, James R. Curran. 91-100 [doi]
- Off Topic Conversation in Expert Tutoring: Waste of Time or Learning OpportunityBlair Lehman, Whitney L. Cade, Andrew Olney. 101-110 [doi]
- Sentiment Analysis in Student Experiences of LearningSunghwan Mac Kim, Rafael A. Calvo. 111-120 [doi]
- Online Curriculum Planning Behavior of TeachersKeith E. Maull, Manuel Gerardo Saldivar, Tamara Sumner. 121-130 [doi]
- A Data Model to Ease Analysis and Mining of Educational DataAndré Krüger, Agathe Merceron, Benjamin Wolf. 131-140 [doi]
- Identifying Students Inquiry Planning Using Machine LearningOrlando Montalvo, Ryan Shaun Joazeiro de Baker, Michael A. Sao Pedro, Adam Nakama, Janice D. Gobert. 141-150 [doi]
- Skill Set Profile Clustering: The Empty K-Means Algorithm with Automatic Specification of Starting Cluster CentersRebecca Nugent, Nema Dean, Elizabeth Ayers. 151-160 [doi]
- Navigating the parameter space of Bayesian Knowledge Tracing models: Visualizations of the convergence of the Expectation Maximization algorithmZachary A. Pardos, Neil T. Heffernan. 161-170 [doi]
- Mining Rare Association Rules from e-Learning DataCristóbal Romero, José Raúl Romero, Jose María Luna, Sebastián Ventura. 171-180 [doi]
- Using Text Replay Tagging to Produce Detectors of Systematic Experimentation Behavior PatternsMichael Sao Pedro, Ryan Shaun Joazeiro de Baker, Orlando Montalvo, Adam Nakama, Janice D. Gobert. 181-190 [doi]
- Identifying High-Level Student Behavior Using Sequence-based Motif DiscoveryDavid H. Shanabrook, David G. Cooper, Beverly Park Woolf, Ivon Arroyo. 191-200 [doi]
- Unsupervised Discovery of Student StrategiesBenjamin Shih, Kenneth R. Koedinger, Richard Scheines. 201-210 [doi]
- Assessing Reviewer s Performance Based on Mining Problem Localization in Peer-Review DataWenting Xiong, Diane J. Litman, Christian D. Schunn. 211-220 [doi]
- Using Numeric Optimization To Refine Semantic User Model Integration Of Adaptive Educational SystemsMichael Yudelson, Peter Brusilovsky, Antonija Mitrovic, Moffat Mathews. 221-230 [doi]
- An Annotations Approach to Peer TutoringJohn Champaign, Robin Cohen. 231-240 [doi]
- Using Educational Data Mining Methods to Study the Impact of Virtual Classroom in E-LearningMohammad Hassan Falakmasir, Jafar Habibi. 241-248 [doi]
- Process Mining to Support Students Collaborative WritingVilaythong Southavilay, Kalina Yacef, Rafael A. Callvo. 257-266 [doi]
- Automatic Rating of User-Generated Math SolutionsTuradg Aleahmad, Vincent Aleven, Robert Kraut. 267-268 [doi]
- Tracking Students Inquiry Paths through Student Transition AnalysisMatt Bachmann, Janice Gobert, Joseph Beck. 269-270 [doi]
- DISCUSS: Enabling Detailed Characterization of Tutorial Interactions Through Dialogue AnnotationLee Becker, Wayne H. Ward, Sarel Van Vuuren. 271-272 [doi]
- Data Mining of both Right and Wrong Answers from a Mathematics and a Science M/C Test given Collectively to 11, 228 Students from India in years 4, 6 and 8James Bernauer, Jay Powell. 273-274 [doi]
- Mining information from tutor data to improve pedagogical content knowledgeSuchismita Srinivas, Muntaquim Bagadia, Anupriya Gupta. 275-276 [doi]
- Clustering Student Learning Activity DataHaiyun Bian. 277-278 [doi]
- Analyzing Learning Styles using Behavioral Indicators in Web based Learning EnvironmentsNabila Bousbia, Jean-Marc Labat, Amar Balla, Issam Rebaï. 279-280 [doi]
- Using Topic Models to Bridge Coding Schemes of Differing GranularityWhitney L. Cade, Andrew Olney. 281-282 [doi]
- A Distillation Approach to Refining Learning ObjectsJohn Champaign, Robin Cohen. 283-284 [doi]
- A Preliminary Investigation of Hierarchical Hidden Markov Models for Tutorial PlanningKristy Elizabeth Boyer, Robert Phillips, Eunyoung Ha, Michael D. Wallis, Mladen A. Vouk, James C. Lester. 285-286 [doi]
- Higher Contributions Correlate with Higher Learning GainsCarol Forsyth, Heather Butler, Arthur C. Graesser, Diane F. Halpern. 287-288 [doi]
- Pinpointing Learning Moments; A finer grain P(J) modelAdam B. Goldstein, Ryan Shaun Joazeiro de Baker, Neil T. Heffernan. 289-290 [doi]
- Predicting Task Completion from Rich but Scarce DataJosé P. González-Brenes, Jack Mostow. 291-292 [doi]
- Hierarchical Structures of Content Items in LMSSharon Hardof-Jaffe, Arnon Hershkovitz, Ronit Azran, Rafi Nachmias. 293-294 [doi]
- Is Students Activity in LMS Persistent?Arnon Hershkovitz, Rafi Nachmias. 295-296 [doi]
- EDM Visualization Tool: Watching Students LearnMatt Johnson, Tiffany Barnes. 297-298 [doi]
- Inferring the Differential Student Model in a Probabilistic Domain Using Abduction inference in Bayesian networksNabila Khodeir, Nayer M. Wanas, Nevin Mahmoud Darwish, Nadia Hegazy. 299-300 [doi]
- Using LiMS (the Learner Interaction Monitoring System) to Track Online Learner Engagement and Evaluate Course DesignLeah Macfadyen, Peter Sorenson. 301-302 [doi]
- Observing Online Curriculum Planning Behavior of TeachersKeith E. Maull, Manuel Gerardo Saldivar, Tamara Sumner. 303-304 [doi]
- When Data Exploration and Data Mining meet while Analysing Usage Data of a CourseAndré Krüger, Agathe Merceron, Benjamin Wolf. 305-306 [doi]
- AutoJoin: Generalizing an Example into an EDM queryJack Mostow, Bao Hong (Lucas) Tan. 307-308 [doi]
- Conceptualizing Procedural Knowledge Targeted at Students with Different Skill LevelsMartin Mozina, Matej Guid, Aleksander Sadikov, Vida Groznik, Jana Krivec, Ivan Bratko. 309-310 [doi]
- Data Reduction Methods Applied to Understanding Complex Learning HypothesesPhilip I. Pavlik Jr.. 311-312 [doi]
- Analysis of a causal modeling approach: a case study with an educational interventionDovan Rai, Joseph E. Beck. 313-314 [doi]
- Peer Production of Online Learning Resources: A Social Network AnalysisBeijie Xu, Mimi Recker. 315-316 [doi]
- Class Association Rules Mining from Students Test DataCristóbal Romero, Sebastián Ventura, Ekaterina Vasilyeva, Mykola Pechenizkiy. 317-318 [doi]
- Modeling Learning Trajectories with Epistemic Network Analysis: A Simulation-based Investigation of a Novel Analytic Method for Epistemic GamesAndre A. Rupp, Shauna J. Sweet, Younyoung Choi. 319-320 [doi]
- Multiple Test Forms Construction based on Bees AlgorithmPokpong Songmuang, Maomi Ueno. 321-322 [doi]
- Can Order of Access to Learning Resources Predict Success?Hema Soundranayagam, Kalina Yacef. 323-324 [doi]
- A Data Driven Approach to the Discovery of Better Cognitive ModelsKenneth R. Koedinger, John C. Stamper. 325-326 [doi]
- Using a Bayesian Knowledge Base for Hint Selection on Domain Specific ProblemsJohn C. Stamper, Tiffany Barnes, Marvin J. Croy. 327-328 [doi]
- A Review of Student Churn in the Light of Theories on Business RelationshipsJaan Ubi, Innar Liiv. 329-330 [doi]
- Towards EDM Framework for Personalization of Information Services in RPM SystemsEkaterina Vasilyeva, Mykola Pechenizkiy, Aleksandra Tesanovic, Evgeny Knutov, Sicco Verwer, Paul De Bra. 331-332 [doi]
- A Case Study: Data Mining Applied to Student EnrollmentCésar Vialardi Sacín, Jorge Chue, Alfredo Barrientos, Daniel Victoria, Jhonny Estrella, Juan Pablo Peche, Alvaro Ortigosa. 333-334 [doi]
- Representing Student Performance with Partial CreditYutao Wang, Neil T. Heffernan, Joseph E. Beck. 335-336 [doi]
- Where in the World? Demographic Patterns in Access DataMimi Recker, Beijie Xu, Sherry Hsi, Christine Garrard. 337-338 [doi]
- Pundit: Intelligent Recommender of CoursesAnkit Ranka, Faisal Anwar, Hui Soo Chae. 339-340 [doi]