- Inferring User Goals from Personality and Behavior in a Causal Model of User Affect
- Combining Collaborative Filtering with Personal Agents for Better Recommendations
- POLA: a student modeling framework for Probabilistic On-Line Assessment of problem solving performance
- User Modeling and User-Adapted Interaction 4: 253-278, 1995. 253 9 1995Kluwer Academic Publishers. Printed in the Netherlands.
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- Modeling Bounded Rationality in Sequential Decision Problems
- Using Similarity to Infer Meta-Cognitive Behaviors During Analogical Problem Solving
- Using Bayesian Networks to Manage Uncertainty in Student Modeling CRISTINA CONATI,
- Ev a lu a tin g A P r o b a b ilistic M o d e l o f S tu d e n t A ffe c t Cristin a Co n a ti1
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- CPSC 322 Assignment 0 Due: Monday, Sept 13, 2010 1pm
- Principles of Mixed-Initiative User Interfaces Eric Horvitz
- Unsupervised and Supervised Machine Learning in User Modeling for Intelligent Learning Environments
- Data-driven Refinement of a Probabilistic Model of User Affect
- Supporting Interface Customization using a Mixed-Initiative Approach
- Probabilistic Assessment of User's Emotions in Educational Games Cristina Conati
- Modeling Students' Emotions from Cognitive Appraisal in Educational Games
- Building and Evaluating an Intelligent Pedagogical Agent to Improve the Effectiveness of an Educational Game
- Scaffolding Self-Explanation to Improve Learning in Exploratory Learning Environments.
- Eye-Tracking to Model and Adapt to User Meta-cognition in Intelligent Learning Environments
- Evaluating a Decision-Theoretic Approach to Tailored Example Selection Kasia Muldner 1
- International Journal of Artificial Intelligence in Education (2000), 11, 398-415 Toward Computer-Based Support of Meta-Cognitive Skills: a
- Evaluating Adaptive Feedback in an Educational Computer Game
- How to Evaluate Models of User Affect? Cristina Conati
- On Improving the Effectiveness of Open Learning Environments
- Providing Adaptive Support to the Understanding of Instructional Material
- Procedural help in Andes: Generating hints using a Bayesian network student Abigail S. Gertner and Cristina Conati and Kurt VanLehn
- 1Toward a Model of Student Education in Microworlds Cristina Conati Jill Fain Lehman
- Assignments are to be handed via handin by the specified deadline. We won't accept assignments sent via email or handed-in in person.
- Setting Planners Results Conclusion IPC 2008: Deterministic Competition
- Assignments are to be handed via handin by the specified deadline. We won't accept assignments sent via email or handed-in in person. Marks will be deducted for not providing your name/ID, or the name
- Adaptive Interfaces and Agents Anthony Jameson
- Exploring the Design Space for Adaptive Graphical User Interfaces
- Toward Establishing Trust in Adaptive Agents Alyssa Glass
- User Model User-Adap Inter (2010) 20:383453 DOI 10.1007/s11257-010-9082-4
- Tagsplanations: Explaining Recommendations Using Tags Grouplens Research
- Emotion Sensors Go To School Ivon ARROYO,a,1
- P. De Bra, A. Kobsa, and D. Chin (Eds.): UMAP 2010, LNCS 6075, pp. 159170, 2010. Springer-Verlag Berlin Heidelberg 2010
- Probabilistic Student Modelling to Improve Exploratory Behaviour
- Exploring Eye Tracking to Increase Bandwidth in User Cristina Conati, Christina Merten, Kasia Muldner, David Ternes
- Exploring the Role of Individual Differences in Information Visualization
- A Probabilistic Framework For Recognizing and Affecting Emotions Cristina Conati, Xiaoming Zhou
- On-Line Student Modeling for Coached Problem Solving Using Bayesian Networks
- CPSC 322, Winter 2010 Practice #0
- A Comparison of Model-Tracing and Constraint-Based Intelligent Tutoring Paradigms
- Dimensions of Adaptivity in Mobile Systems: Personality and People's Attitudes
- R. Nkambou et al. (Eds.): Advances in Intelligent Tutoring Systems, SCI 308, pp. 6380. springerlink.com Springer-Verlag Berlin Heidelberg 2010
- Using Bayesian Networks to Manage Uncertainty in Student Modeling
- Detecting and Correcting User Activity Switches: Algorithms and Interfaces
- C. Conati, K. McCoy, and G. Paliouras (Eds.): UM 2007, LNAI 4511, pp. 258267, 2007. Springer-Verlag Berlin Heidelberg 2007
- Modeling User Affect from Causes and Effects Cristina Conati, Heather Maclaren
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- Improving Proactive Information Systems Daniel Billsus, David M. Hilbert
- Sample Questions These questions relate to the issue of modeling a student "mental state" in a user model for an Adaptive
- Using Eye-tracking Data for High-Level User Modeling in Adaptive Interfaces
- A Study on Using Biometric Sensors for Monitoring User Emotions in Educational Cristina Conati, Romain Chabbal, Heather Maclaren
- Fewer Clicks and Less Frustration: Reducing the Cost of Reaching the Right Folder
- Probabilistic Plan Recognition for Cognitive Apprenticeship Cristina Conati and Kurt VanLehn
- Assignments are to be handed via handin by the specified deadline. We won't accept assignments sent via email or handed-in in person. Marks will be deducted for not providing your name/ID, the name
- Further Results from the Evaluation of an Intelligent Computer Tutor to Coach Self-Explanation
- A Time For Emoting: When Affect-Sensitivity Is and Isn't Effective at Promoting Deep Learning
- International Journal of Artificial Intelligence in Education (2001), 12, 124-153 Optimising ITS Behaviour with Bayesian Networks and
- Empirically Building and Evaluating a Probabilistic Model of User Cristina Conati1
- AN ADAPTIVE INTERFACE FOR ACTIVE LOCALIZATION Kenji Okuma, Eric Brochu, David G. Lowe, James J. Little
- Can Help Seeking Be Tutored? Searching for the Secret Sauce of Metacognitive
- Mind and Body: Dialogue and Posture for Affect Detection in Learning Environments
- MailCat: An Intelligent Assistant for Organizing E-Mail Richard B. Segal and Jeffrey O. Kephart
- Understanding and Developing Models for Detecting and Differentiating Breakpoints during Interactive Tasks
- Incremental Learning in SwiftFile Richard B. Segal rsegal@watson.ibm.com
- R. Nkambou et al. (Eds.): Advances in Intelligent Tutoring Systems, SCI 308, pp. 3362. springerlink.com Springer-Verlag Berlin Heidelberg 2010
- An Assessment of Constraint-Based Tutors: A Response to Mitrovic and Ohlsson's Critique of "A Comparison of
- A Critique of Kodaganallur, Weitz and Rosenthal, "A Comparison of Model-Tracing and Constraint-Based
- R. Nkambou et al. (Eds.): Advances in Intelligent Tutoring Systems, SCI 308, pp. 281299. springerlink.com Springer-Verlag Berlin Heidelberg 2010
- Effects of Intelligent Notification Management on Users and Their Tasks
- Modeling Student Knowledge: Cognitive Tutors in High School and College
- Taking Advice from Intelligent Systems: The Double-Edged Sword of Explanations
- Setting Planners Results Conclusion IPC 2008: Deterministic Competition
