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Publication search results
found 102 matches
- 2013
- Seth Adjei, Seye Salehizadeh, Yutao Wang, Neil T. Heffernan:
Do students really learn an equal amount independent of whether they get an item correct or wrong? EDM 2013: 304-305 - Ani Aghababyan, Taylor Martin, Nicole Forsgren Velasquez, Philip Janisiewicz:
Educational Data Mining: Illuminating Student Learning Pathways in an Online Fraction Game. EDM 2013: 362-363 - John R. Anderson:
Discovering the Structure of Mathematical Problem Solving. EDM 2013: 2 - Ryan S. Baker:
EDM in a Complex and Changing World. EDM 2013: 3 - Joseph Beck, Xiaolu Xiong:
Limits to accuracy: how well can we do at student modeling? EDM 2013: 4-11 - Angela Bovo, Stéphane Sanchez, Olivier Heguy, Yves Duthen:
Analysis of students clustering results based on Moodle log data. EDM 2013: 306-307 - Angela Bovo, Stéphane Sanchez, Olivier Heguy, Yves Duthen:
Demonstration of a Moodle student monitoring web application. EDM 2013: 390-391 - Ryan Carlson, Konstantin Genin, Martina A. Rau, Richard Scheines:
Student Profiling from Tutoring System Log Data: When do Multiple Graphical Representations Matter? EDM 2013: 12-19 - Ritu Chaturvedi, Christie I. Ezeife:
Mining the Impact of Course Assignments on Student Performance. EDM 2013: 308-309 - Marius Stefan Chiritoiu, Marian Cristian Mihaescu, Dumitru Dan Burdescu:
Students Activity Visualization Tool. EDM 2013: 392-393 - Scott A. Crossley, Caleb Defore, Kris Kyle, Jianmin Dai, Danielle S. McNamara:
Paragraph Specific N-Gram Approaches to Automatically Assessing Essay Quality. EDM 2013: 216-219 - Sidney K. D'Mello, Jonathan Cobian, Matthew Hunter:
Automatic Gaze-Based Detection of Mind Wandering during Reading. EDM 2013: 364-365 - Alireza Davoodi, Cristina Conati:
Degeneracy in Student Modeling with Dynamic Bayesian Networks in Intelligent Edu-Games. EDM 2013: 220-223 - Alireza Davoodi, Samad Kardan, Cristina Conati:
Mining User's Behaviors in Intelligent Educational Games: Prime Climb a Case Study. EDM 2013: 310-311 - Jennifer DeBoer, Glenda S. Stump, Daniel T. Seaton, Andrew D. Ho, David E. Pritchard, Lori Breslow:
Bringing student backgrounds online: MOOC user demographics, site usage, and online learning. EDM 2013: 312-313 - Michel C. Desmarais, François Lemieux:
Clustering and Visualizing Study State Sequences. EDM 2013: 224-227 - Melissa Deziel, Dayo Olawo, Lisa Truchon, Lukasz Golab:
Analyzing the Mental Health of Engineering Students using Classification and Regression. EDM 2013: 228-231 - Kristen E. DiCerbo, Khusro Kidwai:
Detecting Player Goals from Game Log Files. EDM 2013: 314-315 - Hien Duong, Linglong Zhu, Yutao Wang, Neil T. Heffernan:
A prediction model that uses the sequence of attempts and hints to better predict knowledge: "Better to attempt the problem first, rather than ask for a hint". EDM 2013: 316-317 - Michael Eagle, Tiffany Barnes:
Evaluation of Automatically Generated Hint Feedback. EDM 2013: 372-374 - Aysu Ezen-Can, Kristy Elizabeth Boyer:
Unsupervised Classification of Student Dialogue Acts with Query-Likelihood Clustering. EDM 2013: 20-27 - Mohammad Hassan Falakmasir, Zachary A. Pardos, Geoffrey J. Gordon, Peter Brusilovsky:
A Spectral Learning Approach to Knowledge Tracing. EDM 2013: 28-34 - Stephen Fancsali, Tristan Nixon, Steven Ritter:
Optimal and Worst-Case Performance of Mastery Learning Assessment with Bayesian Knowledge Tracing. EDM 2013: 35-42 - Stephen L. France, Mahyar Vaghefi, William H. Batchelder:
FlexCCT: Software for Maximum Likelihood Cultural Consensus Theory. EDM 2013: 394-395 - Diego García-Saiz, Marta E. Zorrilla:
Towards the development of a classification service for predicting students' performance. EDM 2013: 318-319 - Ilya M. Goldin, Kenneth R. Koedinger, Vincent Aleven:
Hints: You Can't Have Just One. EDM 2013: 232-235 - July Gomes, Mohamed Yassine, Marcelo Worsley, Paulo Blikstein:
Analysing Engineering Expertise of High School Students Using Eye Tracking and Multimodal Learning Analytics. EDM 2013: 375-377 - José P. González-Brenes, Jack Mostow:
What and When do Students Learn? Fully Data-Driven Joint Estimation of Cognitive and Student Models. EDM 2013: 236-239 - Kyle Goslin, Markus Hofmann:
Identifying and Visualizing the Similarities Between Course Content at a Learning Object, Module and Program Level. EDM 2013: 320-321 - Joseph F. Grafsgaard, Joseph B. Wiggins, Kristy Elizabeth Boyer, Eric N. Wiebe, James C. Lester:
Automatically Recognizing Facial Expression: Predicting Engagement and Frustration. EDM 2013: 43-50
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