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
Recommendation in Higher Education Using Data Mining Techniques
Edu-mining for Book Recommendation for Pupils
An unsupervised, frequency-based metric for selecting hints in an MDP-based tutor |
| 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 Predicting Student Grades in Learning Management Systems with Multiple Instance Genetic Programming Process Mining Online Assessment Data Predicting Correctness of Problem Solving from Low-level Log Data in Intelligent Tutoring Systems Visualization of Differences in Data Measuring Mathematical Skills
Obtaining weights of a rubric through a pairwise learning model when the assessment process involves more than one lecturer |
| 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 Automatic concept relationships discovery for an adaptive e-course (student paper accepted as long) Using Learning Decomposition and Bootstrapping with Randomization to Compare the Impact of Different Educational Interventions on Learning (student paper accepted as long) |
| 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 Predicting Students Drop Out: A Case Study Consistency of Students' Pace in Online Learning |
| 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) Determining the Significance of Item Order In Randomized Problem Sets 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 How do Students Organize Personal Information Spaces? Collaborative Data Mining Tool for Education Improving Student Question Classification Dimensions of Difficulty in Translating Natural Language into First-Order Logic
Developing an Argument Learning Environment Using Agent-Based ITS (ALES) What, How, and Why should Tutors Log? |
| 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 Using Dirichlet priors to improve model parameter plausibility Reducing the Knowledge Tracing Space Learning Factors Transfer Analysis: Using Learning Curve Analysis to Automatically Generate Domain Models |
| 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 Automatic Detection of Student Mental Models During Prior Knowledge Activation in MetaTutor
Does Self-Discipline impact students’ knowledge and learning? |
| 17.00‑17.30 | Coffee break |
| 17.35‑17.50 | Closing Ceremony, Awards |