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2nd EDM 2009: Cordoba, Spain
- Tiffany Barnes, Michel C. Desmarais, Cristóbal Romero, Sebastián Ventura:
Educational Data Mining - EDM 2009, Cordoba, Spain, July 1-3, 2009. Proceedings of the 2nd International Conference on Educational Data Mining. www.educationaldatamining.org 2009, ISBN 978-84-613-2308-1 - Elizabeth Ayers, Rebecca Nugent, Nema Dean:
A Comparison of Student Skill Knowledge Estimates. 1-10 - Ryan S. Baker:
Differences Between Intelligent Tutor Lessons, and the Choice to Go Off-Task. 11-20 - Dror Ben-Naim, Michael Bain, Nadine Marcus:
A User-Driven and Data-Driven Approach for Supporting Teachers in Reflection and Adaptation of Adaptive Tutorials. 21-30 - Javier Bravo Agapito, Alvaro Ortigosa:
Detecting Symptoms of Low Performance Using Production Rules. 31-40 - Gerben Dekker, Mykola Pechenizkiy, Jan Vleeshouwers:
Predicting Students Drop Out: A Case Study. 41-50 - Mingyu Feng, Joseph Beck, Neil T. Heffernan:
Using Learning Decomposition and Bootstrapping with Randomization to Compare the Impact of Different Educational Interventions on Learning. 51-60 - Yue Gong, Dovan Rai, Joseph Beck, Neil T. Heffernan:
Does Self-Discipline impact students' knowledge and learning?. 61-70 - Arnon Hershkovitz, Rafi Nachmias:
Consistency of Students' Pace in Online Learning. 71-80 - Tara M. Madhyastha, Steven L. Tanimoto:
Student Consistency and Implications for Feedback in Online Assessment Systems. 81-90 - Ryo Nagata, Keigo Takeda, Koji Suda, Jun'ichi Kakegawa, Koichiro Morihiro:
Edu-mining for Book Recommendation for Pupils. 91-100 - Rebecca Nugent, Elizabeth Ayers, Nema Dean:
Subspace Clustering of Skill Mastery: Identifying Skills that Separate Students. 101-110 - Zachary A. Pardos, Neil T. Heffernan:
Determining the Significance of Item Order In Randomized Problem Sets. 111-120 - Philip I. Pavlik Jr., Hao Cen, Kenneth R. Koedinger:
Learning Factors Transfer Analysis: Using Learning Curve Analysis to Automatically Generate Domain Models. 121-130 - David Prata, Ryan Shaun Joazeiro de Baker, Evandro de Barros Costa, Carolyn P. Rosé, Yue Cui:
Detecting and Understanding the Impact of Cognitive and Interpersonal Conflict in Computer Supported Collaborative Learning Environments. 131-140 - Dovan Rai, Yue Gong, Joseph Beck:
Using Dirichlet priors to improve model parameter plausibility. 141-150 - Steven Ritter, Thomas K. Harris, Tristan Nixon, Daniel Dickison, R. Charles Murray, Brendon Towle:
Reducing the Knowledge Tracing Space. 151-160 - Vasile Rus, Mihai C. Lintean, Roger Azevedo:
Automatic Detection of Student Mental Models During Prior Knowledge Activation in MetaTutor. 161-170 - Marián Simko, Mária Bieliková:
Automatic Concept Relationships Discovery for an Adaptive E-course. 171-180 - John C. Stamper, Tiffany Barnes:
An unsupervised, frequency-based metric for selecting hints in an MDP-based tutor. 181-190 - César Vialardi Sacín, Javier Bravo Agapito, Leila Shafti, Alvaro Ortigosa:
Recommendation in Higher Education Using Data Mining Techniques. 191-199 - Safia Abbas, Hajime Sawamura:
an Argument Learning Environment Using Agent-Based ITS (ALES). 200-209 - Antonio R. Anaya, Jesus Boticario:
A Data Mining Approach to Reveal Representative Collaboration Indicators in Open Collaboration Frameworks. 210-219 - Dave Barker-Plummer, Richard Cox, Robert Dale:
Dimensions of Difficulty in Translating Natural Language into First-Order Logic. 220-229 - Suleyman Cetintas, Luo Si, Yan Ping Xin, Casey Hord:
Predicting Correctness of Problem Solving from Low-level Log Data in Intelligent Tutoring Systems. 230-239 - Ming Feng, Joseph Beck:
Back to the future: a non-automated method for constructing transfer models. 240-249 - Sharon Hardof-Jaffe, Arnon Hershkovitz, Hama Abu-Kishk, Ofer Bergman, Rafi Nachmias:
How do Students Organize Personal Information Spaces? 250-258 - Cecily Heiner, Joseph L. Zachary:
Improving Student Question Classification. 259-268 - Jack Mostow, Joseph Beck:
Why, What, and How to Log? Lessons from LISTEN. 269-278 - Mykola Pechenizkiy, Nikola Trcka, Ekaterina Vasilyeva, Wil M. P. van der Aalst, Paul De Bra:
Process Mining Online Assessment Data. 279-288 - José Ramón Quevedo, Elena Montañés:
Obtaining weights of a rubric through a pairwise learning model when the assessment process involves more than one lecturer. 289-298 - Cristóbal Romero, Sebastián Ventura, Enrique García, Carlos de Castro, Miguel Gea:
Collaborative Data Mining Tool for Education. 299-308 - Amelia Zafra, Sebastián Ventura:
Predicting Student Grades in Learning Management Systems with Multiple Instance Learning Genetic Programming. 309-318 - Lukás Zoubek, Michal Burda:
Visualization of Differences in Data Measuring Mathematical Skills. 319-324
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