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Bayesian Student Modelling and Decision-Theoretic Selection of Tutorial Actions in Intelligent Tutoring Systems
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/net.3230200509openalex-snapshot
An algebra of bayesian belief universes for knowledge‐based systems
inferredcites →https://doi.org/10.1007/3-540-45108-0_17openalex-snapshot
Andes: A Coached Problem Solving Environment for Physics
inferredcites →https://doi.org/10.1007/3-540-45108-0_19openalex-snapshot
DT Tutor: A Decision-TheoreticDynamic Approach for Optimal Selection of Tutorial Actions
inferredcites →https://doi.org/10.1007/3-540-45108-0_4openalex-snapshot
Uncertainty, Utility, and Understanding
inferredcites →https://doi.org/10.1007/3-540-45108-0_42openalex-snapshot
Tailoring Feedback by Correcting Student Answers
inferredcites →https://doi.org/10.1007/3-540-45108-0_47openalex-snapshot
ITS Tools for Natural Language Dialogue: A Domain-Independent Parser and Planner
inferredcites →https://doi.org/10.1007/3-540-45108-0_5openalex-snapshot
Stereotypes, Student Models and Scrutability
inferredcites →https://doi.org/10.1007/3-540-45108-0_55openalex-snapshot
Accretion Representation for Scrutable Student Modelling
inferredcites →https://doi.org/10.1007/3-540-45108-0_56openalex-snapshot
Using a Probabilistic Student Model to Control Problem Difficulty
inferredcites →https://doi.org/10.1007/3-540-45108-0_57openalex-snapshot
Adaptive Bayesian Networks for Multilevel Student Modelling
inferredcites →https://doi.org/10.1007/3-540-45108-0_60openalex-snapshot
The Conceptual Helper: An Intelligent Tutoring System for Teaching Fundamental Physics Concepts
inferredcites →https://doi.org/10.1007/3-540-45108-0_62openalex-snapshot
High-Level Student Modeling with Machine Learning
inferredcites →https://doi.org/10.1007/3-540-45108-0_7openalex-snapshot
Tutoring Diagnostic Problem Solving
inferredcites →https://doi.org/10.1007/3-540-46695-9_42openalex-snapshot
Estimating Problem Value in an Intelligent Tutoring System Using Bayesian Networks
inferredcites →https://doi.org/10.1007/3-540-55606-0_49openalex-snapshot
Student modeling and mastery learning in a computer-based programming tutor
inferredcites →https://doi.org/10.1007/3-540-61327-7_156openalex-snapshot
Adaptive assessment using granularity hierarchies and bayesian nets
inferredcites →https://doi.org/10.1007/3-540-68716-5_12openalex-snapshot
Deconstructing a Computer-Based Tutor: Striving for Better Learning Efficiency in Stat Lady
inferredcites →https://doi.org/10.1007/3-540-68716-5_28openalex-snapshot
An ITS for Dutch Punctuation
inferredcites →https://doi.org/10.1007/3-540-68716-5_31openalex-snapshot
Providing Feedback to Equation Entries in an Intelligent Tutoring System for Physics
inferredcites →https://doi.org/10.1007/3-540-68716-5_33openalex-snapshot
Two-Phase Updating of Student Models Based on Dynamic Belief Networks
inferredcites →https://doi.org/10.1007/3-540-68716-5_42openalex-snapshot
Combatting Shallow Learning in a Tutor for Geometry Problem Solving
inferredcites →https://doi.org/10.1007/3-540-68716-5_43openalex-snapshot
A Formative Evaluation of the PACT Algebra II Tutor: Support for Simple Hierarchical Reasoning
inferredcites →https://doi.org/10.1007/3-540-68716-5_47openalex-snapshot
Experiences in Implementing Constraint-Based Modeling in SQL-Tutor
inferredcites →https://doi.org/10.1007/3-540-68716-5_48openalex-snapshot
A Practical Approach to Bayesian Student Modeling
inferredcites →https://doi.org/10.1007/3-540-68716-5_49openalex-snapshot
Student Modeling from Conventional Test Data: A Bayesian Approach without Priors
inferredcites →https://doi.org/10.1007/978-1-4615-5089-1_15openalex-snapshot
Decision-Theoretic Troubleshooting: A Framework for Repair and Experiment
inferredcites →https://doi.org/10.1007/978-3-540-85066-3_3openalex-snapshot
A Tutorial on Learning with Bayesian Networks
inferredcites →https://doi.org/10.1007/978-3-662-03037-0openalex-snapshot
Student Modelling: The Key to Individualized Knowledge-Based Instruction
inferredcites →https://doi.org/10.1007/978-3-662-03037-0_1openalex-snapshot
The State of Student Modelling
inferredcites →https://doi.org/10.1007/978-3-662-03037-0_12openalex-snapshot
Formal Approaches to Student Modelling
inferredcites →https://doi.org/10.1007/978-3-662-03037-0_7openalex-snapshot
Constraint-Based Student Modeling
inferredcites →https://doi.org/10.1007/978-3-7091-2490-1_26openalex-snapshot
The Emergence of Student Models from an Analysis of Ethical Decision Making in a Scenario-Based Learning Environment
inferredcites →https://doi.org/10.1007/978-3-7091-2670-7_24openalex-snapshot
On-Line Student Modeling for Coached Problem Solving Using Bayesian Networks
inferredcites →https://doi.org/10.1007/978-3-7091-2670-7_25openalex-snapshot
Student Modeling in the ACT Programming Tutor: Adjusting a Procedural Learning Model With Declarative Knowledge
inferredcites →https://doi.org/10.1007/978-3-7091-2670-7_38openalex-snapshot
Assessing Temporally Variable User Properties With Dynamic Bayesian Networks
inferredcites →https://doi.org/10.1007/978-94-011-5014-9_12openalex-snapshot
A View of the Em Algorithm that Justifies Incremental, Sparse, and other Variants
inferredcites →https://doi.org/10.1007/978-94-011-5014-9_3openalex-snapshot
Inference in Bayesian Networks Using Nested Junction Trees
inferredcites →https://doi.org/10.1007/b97670openalex-snapshot
Probabilistic Networks and Expert Systems
inferredcites →https://doi.org/10.1007/bf00213185openalex-snapshot
INSTRUCT: Modeling students by asking questions
inferredcites →https://doi.org/10.1007/bf00213186openalex-snapshot
Development of a model of user attributes and its implementation within an adaptive tutoring system
inferredcites →https://doi.org/10.1007/bf00896881openalex-snapshot
Modeling the student in intelligent tutoring sytems: The promise of a new psychometrics
inferredcites →https://doi.org/10.1007/bf01099821openalex-snapshot
Knowledge tracing: Modeling the acquisition of procedural knowledge
inferredcites →https://doi.org/10.1007/bf01126112openalex-snapshot
The role of probability-based inference in an intelligent tutoring system
inferredcites →https://doi.org/10.1007/bf01890544openalex-snapshot
Optimal decomposition of probabilistic networks by simulated annealing
inferredcites →https://doi.org/10.1016/0004-3702(81)90009-6openalex-snapshot
Modelling student's problem solving
inferredcites →https://doi.org/10.1016/0004-3702(82)90020-0openalex-snapshot
Rete: A fast algorithm for the many pattern/many object pattern match problem
inferredcites →https://doi.org/10.1016/0364-0213(89)90023-2openalex-snapshot
Studies of Diagnosis and Remediation with High School Algebra Students
inferredcites →https://doi.org/10.1016/0888-613x(88)90120-xopenalex-snapshot
Decision theory in expert systems and artificial intelligence
inferredcites →https://doi.org/10.1016/b978-1-55860-332-5.50050-xopenalex-snapshot
Optimal Junction Trees
inferredcites →https://doi.org/10.1016/c2013-0-12606-2openalex-snapshot
Uncertainty in Artificial Intelligence
inferredcites →https://doi.org/10.1016/s0020-7373(88)80057-9openalex-snapshot
Student models: the genetic graph approach
inferredcites →https://doi.org/10.1016/s0165-0114(83)80081-5openalex-snapshot
The role of fuzzy logic in the management of uncertainty in expert systems
inferredcites →https://doi.org/10.1016/s0747-5632(99)00021-7openalex-snapshot
The use of a cognitive tutoring system in the improvement of the abstract reasoning component of word problem solving
inferredcites →https://doi.org/10.1017/s0269888998004019openalex-snapshot
Learning probabilistic networks
inferredcites →https://doi.org/10.1037//0033-295x.103.2.241openalex-snapshot
Learning from performance errors.
inferredcites →https://doi.org/10.1093/biomet/45.3-4.296openalex-snapshot
AN ESSAY TOWARDS SOLVING A PROBLEM IN THE DOCTRINE OF CHANCES
inferredcites →https://doi.org/10.1109/iwalt.2000.890594openalex-snapshot
CAPIT: an intelligent tutoring system for capitalisation and punctuation
inferredcites →https://doi.org/10.1111/j.2517-6161.1988.tb01721.xopenalex-snapshot
Local Computations with Probabilities on Graphical Structures and Their Application to Expert Systems
inferredcites →https://doi.org/10.1137/0602010openalex-snapshot
Computing the Minimum Fill-In is NP-Complete
inferredcites →https://doi.org/10.1137/0608024openalex-snapshot
Complexity of Finding Embeddings in a k -Tree
inferredcites →https://doi.org/10.1145/800107.803477openalex-snapshot
A tutoring and student modelling paradigm for gaming environments
inferredcites →https://doi.org/10.1184/r1/6470153openalex-snapshot
Intelligent Tutoring Goes To School in the Big City
inferredcites →https://doi.org/10.1184/r1/6613475openalex-snapshot
An Interactive Computer-Based Tutor for LISP
inferredcites →https://doi.org/10.1207/s15327051hci0102_3openalex-snapshot
Preprogramming Knowledge: A Major Source of Misconceptions in Novice Programmers
inferredcites →https://doi.org/10.1207/s15327809jls0402_2openalex-snapshot
Cognitive Tutors: Lessons Learned
inferredcites →https://doi.org/10.2307/2065048openalex-snapshot
Administrative Behavior: A Study of Decision-Making Processes in Administrative Organization.
inferredcites →https://doi.org/10.4324/9780203056899openalex-snapshot
Diagnostic Monitoring of Skill and Knowledge Acquisition
inferredcites →https://doi.org/10.4324/9780203056899-14openalex-snapshot
Rules and Principles in Cognitive Diagnosis
inferredcites →https://doi.org/10.4324/9781315805696openalex-snapshot
The Atomic Components of Thought
inferredcites →https://doi.org/10.5555/602770.602830openalex-snapshot
A parallel Lauritzen-Spiegelhalter algorithm for probabilistic inference
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Artificial intelligence: a modern approach
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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User Adaptation in Supporting Exploration Tasks in Virtual Learning Environments
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Adaptive Educational Hypermedia Based on Multiple Student Characteristics
inferred← citeshttps://doi.org/10.1007/s00521-017-3311-2openalex-snapshot
Intelligent tutoring system model based on fuzzy logic and constraint-based student model
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Student modeling approaches: A literature review for the last decade
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Ontology based approach to Bayesian student model design
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Constraint-based knowledge representation for individualized instruction
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Facilitating and Expediting the Development of Systems that Handle Uncertainty through PRoModel
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Adaptive modelling of student diagnosis and material selection for on-line language learning
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Intelligent Tutoring Systems by Bayesian Nets with Noisy Gates
inferred← citeshttps://doi.org/10.5220/0002488500580065openalex-snapshot
IMPLEMENTATION STRATEGIES FOR “EQUATION GURU” - A User Friendly Intelligent Algebra Tutor
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Analysis of Students' Programming Knowledge and Error Development
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PRoModel: a model-driven software environment that facilitates and expedites the development of systems that handle uncertainty
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Mobile Assisted Language Learning: Advantages and Use among Different Age Groups
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