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Registration | Literature The papers will be supervised by
Below the list of papers that will be discussed in the seminar
- Technology etc:
J. Mostow and J. Beck
Some Useful Tactics to Modify, Map and Mine Data from Intelligent Tutors
Natural Language Engineering, 12(2):195-208, 2006.
pdf
(supervisor: Bruce)
J. Mostow and J. Beck and H. Cen and A. Cuneo and E. Gouvea and C. Heiner
An educational data mining tool to browse tutor-student interactions: Time will tell!
Proceedings of the Workshop on Educational Data Mining,
National Conference on Artificial Intelligence, 2005, 15-22
pdf
(supervisor: George)
- Metadata estimation:
A.Bader-Natal and J. Pollack.
Evaluating problem difficulty rankings using sparse student data
Educational Data Mining workshop AIED-2007, p. 1
in pdf
(supervisor: George)
Z. Pardos, M. Feng, N. Heffernan, C. Heffernan, C. Ruiz.
Analyzing fine-grained skill models using Bayesian and mixed effects methods
Educational Data Mining workshop AIED-2007, p. 50
in pdf
(supervisor: Paul)
- Gaming:
Baker, R.S.J.d.
Is Gaming the System State-or-Trait? Educational Data Mining Through the Multi-Contextual Application of a Validated Behavioral Model.
On-Line Proceedings of the Workshop on Data Mining for User Modeling at the 11th International Conference on User Modeling 2007, p. 76-80.
pdf
(supervisor: Oliver)
Baker, R.S., Corbett, A.T., Koedinger, K.R.
Detecting student misuse of intelligent tutoring systems.
Proceedings of the 7th International Conference on Intelligent Tutoring Systems, pages 43--76, 2004.
pdf
(supervisor: Oliver)
- Student modeling:
S. W. McQuiggan and J.C. Lester.
Diagnosing Self-Efficiacy in Intelligent Tutoring Systems: An Empirical Study.
Intelligent Tutoring Systems (ITS-06), M. Ikeda, K.D. Ashley and T-W. Chan (eds),
pages 565-574, LNCS 4053, Springer-Verlag, 2006.
pdf
(supervisor: Arndt)
X. Zhang, J. Mostow, J. Beck
All in the family: using Learning decomposition to estimate transfer between skills in a reading tutor that listens.
Educational Data Mining workshop AIED-2007, p.80.
in pdf
(supervisor: Arndt)
J. Beck
Difficulties in inferring student knowledge from observations
Educational Data Mining workshop AIED-2007, p.21.
in pdf
(supervisor: Paul)
Beal, Mitra and Cohen
Modeling learning patterns of students with a tutoring system using Hidden Markov Models (HMM)
AIED-2007.
(supervisor: Paul)
I. Arroyo and T. Murray and B.P. Woolf and C. Beal
Inferring Unobservable Learning Variables from Students' Help Seeking Behavior.
Proceedings of Intelligent Tutoring Systems (ITS-2004),
J.C. Lester and R.M. Vicari and F. Paraguacu (eds),
pages: 782-784, Springer-Verlag, LNCS 3220, 2004.
pdf
(supervisor: Erica)
I. Arroyo and B.P. Woolf
Inferring Learning and Attitudes from a Baysian Network of Log File Data.
Artificial Intelligence in Education, AIED-2005, pages: 33-40, 2005,
C-K. Looi, G. McCalla, B. Bredewig and J.Breuker (eds), IOS Press, 2005.
pdf
(supervisor: Erica)
K. Ferguson and I. Arroyo and S. Mahadevan and B. Woolf and A. Barto.
Improving Intelligent Tutoring Systems: Using Expectation Maximization to Learn Student Skill Levels,
Intelligent Tutoring Systems (ITS-06),
453-462, 2006, M. Ikeda, K.D. Ashley and T-W. Chan (eds) LNCS 4053,
Springer-Verlag, 2006.
(supervisor: Erica)
- Guide student learning efforts:
K. Martin and I. Arroyo.
AgentX: Using Reinforcement Learning to Improve the Effectiveness of Intelligent Tutoring Systems . Intelligent Tutoring Systems, 7th International Conference, ITS 2004, 564-572.
pdf
(supervisor: Erica)
Ivon Arroyo. Repairing Disengagement, AIED-2007.
pdf
(supervisor: Erica)
- Building ITS:
Bruce McLaren, K. Koedinger, A. Harrer and L. Bollen.
Bootstrapping Novice Data:
Semi-Automated Tutor Authoring Using Student Log Files.
Educational Data Mining workshop in Brazil in 2004.
pdf
(supervisor: Bruce)
Tiffany Barnes, John Stamper.
Toward the extraction of production rules for solving logic proofs.
Educational Data Mining workshop AIED-2007, p.11 .
pdf
(supervisor: Bruce)
G. I. McCalla.
The Ecological Approach to the Design of E-Learning Environments: Purpose-based Capture and Use of Information About Learners
Journal of Interactive Media in Education, 2004 (7). Special Issue on the Educational Semantic Web.
pdf
(supervisor: Paul)
- Mining collaboration data:
Dilhan Perera, Judy Kay, Kalina Yacef, Irena Koprinska
Mining learners' traces from an online collaboration tool
Educational Data Mining workshop AIED-2007, p.60.
in pdf
(supervisor: Dimitra)
Sujith Ravi, Jihie Kim, Erin Shaw
Mining on-line discussions: Assessing technical quality for student scaffolding and
classifying messages for participation profiling.
Educational Data Mining workshop AIED-2007, p. 70.
in pdf
(supervisor: Martin)
Bruce McLaren, Oliver Scheuer, Maarten De Laat, Rhakeli Hever, Reuma De Groot, Carolyn Rose
Using Machine Learning Techniques to Analyze and Support Mediation of Student E-Discussions.
Proceedings of AIED 2007, p. 331-340
pdf
(supervisor: Bruce)
Harrer, A., McLaren, B. M., Walker, E., Bollen, L., and Sewall, J.
Creating cognitive tutors for collaborative learning: steps toward realization.
User Modeling and User-Adapted Interaction 16, 3-4 (Sep. 2006), p. 175-209.
pdf
(supervisor: Bruce)
- Online mining for teacher support
J. Jovanovich et al.
LOCO-Analyst: a Tool for Raising Teachers' Awareness in Online Learning Environments.
EC-TEL 2007.
pdf
(supervisor: Oliver)
- Understanding student input
Pappuswamy, U., Bhembe, D., Jordan, P. W., and VanLehn, K. (2005).
A multi-tier NL-knowledge clustering for classifying students' essays.
In I. Russell & Z. Markov (Eds.), Proceedings of the Seventeenth International Florida Artificial Intelligence Research Society Conference (FLAIRS05), pp. 566-571.
pdf
(supervisor: Martin)
Pappuswamy, U., Bhembe, D., Jordan, P. W., & VanLehn, K. (2005). A supervised clustering method for text classification. In A. Gelbukh (Ed.), Proceedings of Computational Linguistics and Intelligent Text Processing: 6th International Conference, CICLing, pp. 704 - 714.
pdf
(supervisor: Martin)
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