Attention, intentions, and the structure of discourse
Computational Linguistics
Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic reasoning in intelligent systems: networks of plausible inference
A model for reasoning about persistence and causation
Computational Intelligence
Decision making using probabilistic inference methods
UAI '92 Proceedings of the eighth conference on Uncertainty in Artificial Intelligence
Approximating probabilistic inference in Bayesian belief networks is NP-hard
Artificial Intelligence
Artificial intelligence: a modern approach
Artificial intelligence: a modern approach
The automated mapping of plans for plan recognition
AAAI'94 Proceedings of the twelfth national conference on Artificial intelligence (vol. 2)
Implementation of motivational tactics in tutoring systems
Journal of Artificial Intelligence in Education
Limited attention and discourse structure
Computational Linguistics
Adaptive Probabilistic Networks with Hidden Variables
Machine Learning - Special issue on learning with probabilistic representations
Procedural help in Andes: generating hints using a Bayesian network student model
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
Evaluating tutors that listen: an overview of project LISTEN
Smart machines in education
Using Bayesian Networks to Manage Uncertainty in Student Modeling
User Modeling and User-Adapted Interaction
Bayesian Models for Keyhole Plan Recognition in an Adventure Game
User Modeling and User-Adapted Interaction
Using Decision Trees for Agent Modeling: Improving Prediction Performance
User Modeling and User-Adapted Interaction
Simulation Approaches to General Probabilistic Inference on Belief Networks
UAI '89 Proceedings of the Fifth Annual Conference on Uncertainty in Artificial Intelligence
Conversation as Action Under Uncertainty
UAI '00 Proceedings of the 16th Conference on Uncertainty in Artificial Intelligence
Student Modeling and Mastery Learning in a Computer-Based Proramming Tutor
ITS '92 Proceedings of the Second International Conference on Intelligent Tutoring Systems
A Belief Net Backbone for Student Modelling
ITS '96 Proceedings of the Third International Conference on Intelligent Tutoring Systems
High-Level Student Modeling with Machine Learning
ITS '00 Proceedings of the 5th International Conference on Intelligent Tutoring Systems
Tutoring Diagnostic Problem Solving
ITS '00 Proceedings of the 5th International Conference on Intelligent Tutoring Systems
DT Tutor: A Decision-Theoretic, Dynamic Approach for Optimal Selection of Tutorial Actions
ITS '00 Proceedings of the 5th International Conference on Intelligent Tutoring Systems
Informing the Detection of the Students' Motivational State: An Empirical Study
ITS '02 Proceedings of the 6th International Conference on Intelligent Tutoring Systems
Human Problem Solving
Student Modelling Based on Belief Networks
International Journal of Artificial Intelligence in Education
Journal of Artificial Intelligence Research
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
Tractable inference for complex stochastic processes
UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
The lumière project: Bayesian user modeling for inferring the goals and needs of software users
UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
Display of information for time-critical decision making
UAI'95 Proceedings of the Eleventh conference on Uncertainty in artificial intelligence
Why is diagnosis using belief networks insensitive to imprecision in probabilities?
UAI'96 Proceedings of the Twelfth international conference on Uncertainty in artificial intelligence
Toward a decision-theoretic framework for affect recognition and user assistance
International Journal of Human-Computer Studies - Human-computer interaction research in the managemant information systems discipline
Assessing Learner's Scientific Inquiry Skills Across Time: A Dynamic Bayesian Network Approach
UM '07 Proceedings of the 11th international conference on User Modeling
A Mulimodeling Framework for Complex Learning Activity Designs
ICWL '08 Proceedings of the 7th international conference on Advances in Web Based Learning
The Behavior of Tutoring Systems
International Journal of Artificial Intelligence in Education
Factors influencing the performance of Dynamic Decision Network for INQPRO
Computers & Education
Effects of Dissuading Unnecessary Help Requests While Providing Proactive Help
Proceedings of the 2005 conference on Artificial Intelligence in Education: Supporting Learning through Intelligent and Socially Informed Technology
Combining Bayesian Networks and Formal Reasoning for Semantic Classification of Student Utterances
Proceedings of the 2007 conference on Artificial Intelligence in Education: Building Technology Rich Learning Contexts That Work
Evaluating a decision-theoretic approach to Tailored example selection
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Intervening vs. non-intervening actions for INQPRO's dynamic learner model
ACST '08 Proceedings of the Fourth IASTED International Conference on Advances in Computer Science and Technology
User models for adaptive hypermedia and adaptive educational systems
The adaptive web
Optimal dynamic decision network model for scientific inquiry learning environment
Applied Intelligence
International Journal of Artificial Intelligence in Education
Faster teaching by POMDP planning
AIED'11 Proceedings of the 15th international conference on Artificial intelligence in education
How adaptive is an expert human tutor?
ITS'10 Proceedings of the 10th international conference on Intelligent Tutoring Systems - Volume Part I
Building Intelligent Interactive Tutors: Student-centered strategies for revolutionizing e-learning
Building Intelligent Interactive Tutors: Student-centered strategies for revolutionizing e-learning
Properties of Bayesian student model for INQPRO
Applied Intelligence
A decision-theoretic approach to scientific inquiry exploratory learning environment
ITS'06 Proceedings of the 8th international conference on Intelligent Tutoring Systems
Conceptual change modeling using dynamic bayesian network
ITS'06 Proceedings of the 8th international conference on Intelligent Tutoring Systems
A comparison of decision-theoretic, fixed-policy and random tutorial action selection
ITS'06 Proceedings of the 8th international conference on Intelligent Tutoring Systems
Model of conceptual change for INQPRO: A Bayesian Network approach
Computers & Education
Hint systems may negatively impact performance in educational games
Proceedings of the first ACM conference on Learning @ scale conference
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We propose and evaluate a decision-theoretic approach for selecting tutorial actions by looking ahead to anticipate their effects on the student and other aspects of the tutorial state. The approach uses a dynamic decision network to consider the tutor's uncertain beliefs and objectives in adapting to and managing the changing tutorial state. Prototype action selection engines for diverse domains ?calculus and elementary reading ?illustrate the approach. These applications employ a rich model of the tutorial state, including attributes such as the studentï戮聮s knowledge, focus of attention, affective state, and next action(s), along with task progress and the discourse state. For this study, neither of our action selection engines had been integrated into a complete ITS, so we used simulated students to evaluate their capabilities to select rational tutorial actions that emulate the behaviors of human tutors. We also evaluated their capability to select tutorial actions quickly enough for real-world tutoring applications.