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Organized by the International Working Group on Educational Data Mining.



Wednesday * Thursday * Friday

Wednesday, 1 July 2009

Time Session
12.00‑13.30 Registration
13.30‑14.00 Opening ceremony
14.00‑15.30 Snack
15.35‑17.35 Session w1, Session Chair: Michel Desmarais
Full papers (30 mins each)

Differences Between Intelligent Tutor Lessons, and the Choice to Go Off-Task
Ryan Baker

Recommendation in Higher Education Using Data Mining Techniques
Cesar Vialardi Sacin, Javier Bravo Agapito, Leila Shafti and Alvaro Ortigosa

Edu-mining for Book Recommendation for Pupils
Ryo Nagata, Keigo Takeda, Koji Suda, Junichi Kakegawa and Koichiro Morihiro

An unsupervised, frequency-based metric for selecting hints in an MDP-based tutor
John Stamper and Tiffany Barnes

17.40‑18.10 Coffee break
18.15‑19.15 Session w2, Session Chair: Sebastián Ventura
Short Presentations (10 mins each)

A Data Mining Approach to Reveal Representative Collaboration Indicators in Open Collaboration Frameworks
Antonio R. Anaya and Jesus G. Boticario

Predicting Student Grades in Learning Management Systems with Multiple Instance Genetic Programming
Amelia Zafra and Sebastián Ventura

Process Mining Online Assessment Data
Mykola Pechenizkiy, Nikola Trcka, Ekaterina Vasilyeva, Wil van der Aalst and Paul De Bra

Predicting Correctness of Problem Solving from Low-level Log Data in Intelligent Tutoring Systems
Suleyman Cetintas, Luo Si, Yan Ping Xin and Casey Hord

Visualization of Differences in Data Measuring Mathematical Skills
Lukáš Zoubek and Michal Burda

Obtaining weights of a rubric through a pairwise learning model when the assessment process involves more than one lecturer
José Ramón Quevedo and Elena Montañés

20.30 Meeting point to go to the Alcazar: Main door of Rectorado
21.00 Welcoming and snack in the Alcazar de los Reyes Cristianos

Thursday, 2 July 2009

Time Session
9.00‑10.00 Keynote address: Professor Arthur C. Graesser
Mining the Mind at Different Time Scales: Action, Discourse, and Emotions During Learning
10.05‑11.35 Session t1, Session Chair: Tiffany Barnes
Full papers and student papers (30 mins each)

Detecting and Understanding the Impact of Cognitive and Interpersonal Conflict in Computer Supported Collaborative Learning Environments
David Prata, Ryan Baker, Evandro Costa, Carolyn Rose and Yue Cui

Automatic concept relationships discovery for an adaptive e-course (student paper accepted as long)
Marián Šimko and Maria Bielikova

Using Learning Decomposition and Bootstrapping with Randomization to Compare the Impact of Different Educational Interventions on Learning (student paper accepted as long)
Mingyu Feng, Joseph Beck and Neil Heffernan

11.35‑12.05 Coffee break
12.10‑13.45 Session t2, Session Chair: Cristóbal Romero Morales
Full Papers (30 mins each)

Student Consistency and Implications for Feedback in Online Assessment Systems
Tara Madhyastha and Steven Tanimoto

Predicting Students Drop Out: A Case Study
Gerben Dekker, Mykola Pechenizkiy and Jan Vleeshouwers

Consistency of Students' Pace in Online Learning
Arnon Hershkovitz and Rafi Nachmias

15.25‑16.55 Lunch
12.10‑13.45 Session t3, Session Chair: Joseph Beck
Full Papers (30 mins each)

A Comparison of Student Skill Knowledge Estimates (student paper accepted as long)
Elizabeth Ayers, Rebecca Nugent and Nema Dean

Determining the Significance of Item Order In Randomized Problem Sets
Zachary Pardos and Neil Heffernan

Conditional Subspace Clustering of Skill Mastery: Identifying Skills that Separate StudentsRebecca Nugent, Elizabeth Ayers and Nema Dean

17.00‑17.30 Coffee break
17.35‑18.45 Session t4, Session Chair: Ryan Baker
Short Presentations (10 mins each)

Back to the future: a non-automated method of constructing transfer models
Ming Feng and Joseph Beck

How do Students Organize Personal Information Spaces?
Sharon Hardof-Jaffe, Arnon Hershkovitz, Hama Abu-Kishk, Ofer Bergman and Rafi Nachmias

Collaborative Data Mining Tool for Education
Cristobal Romero, Sebastián Ventura, Enrique García, Carlos de Castro and Miguel Gea

Improving Student Question Classification
Cecily Heiner and Joseph Zachary

Dimensions of Difficulty in Translating Natural Language into First-Order Logic
Dave Barker-Plummer, Richard Cox and Robert Dale

Developing an Argument Learning Environment Using Agent-Based ITS (ALES)
Safia Abbas and Hajime Sawamura

What, How, and Why should Tutors Log?
Jack Mostow and Joseph Beck

20.30 Meeting point to go to the Mezquita: Main door of Rectorado
21.00‑22.00 Guided visit to the Mezquita
22.00 Banquet in Casa Palacio Restaurante Bandolero (in front of Mezquita)

Friday, 3 July 2009

Time Session
9.00‑10.00 Keynote address: Professor Bamshad Mobasher
Robust Social Recommendation on the Web: How Trustworthy is Personalization in the Presence of Adversaries?
10.05‑11.05 Poster session (Salón Mudejar, first floor)
11.10‑11.40 Coffee break
11.45‑13.45 Session f1, Session Chair: Michel Desmarais
Full Papers (30 mins each)

Detecting Symptoms of Low Performance Using Production Rules
Javier Bravo Agapito, Sergey Sosnovsky and Alvaro Ortigosa

Using Dirichlet priors to improve model parameter plausibility
Dovan Rai, Yue Gong and Joseph Beck

Reducing the Knowledge Tracing Space
Steven Ritter, Thomas Harris, Tristan Nixon, Daniel Dickison, R. Charles Murray and Brendon Towle

Learning Factors Transfer Analysis: Using Learning Curve Analysis to Automatically Generate Domain Models
Philip I Pavlik Jr., Hao Cen and Kenneth R. Koedinger

13.50‑15.20 Lunch
15.25‑16.55 Session f2, Session Chair: Tiffany Barnes
Full Papers (30 mins each)

A User-Driven and Data-Driven Approach for Supporting Teachers in Reflection and Adaptation of Adaptive Tutorials
Dror Ben-Naim, Michael Bain and Nadine Marcus

Automatic Detection of Student Mental Models During Prior Knowledge Activation in MetaTutor
Vasile Rus, Mihai Lintean and Roger Azevedo

Does Self-Discipline impact students’ knowledge and learning?
Yue Gong, Dovan Rai, Joseph Beck and Neil Heffernan

17.00‑17.30 Coffee break
17.35‑17.50 Closing Ceremony, Awards