Name
Affiliation
Papers
KURT VANLEHN
Univ Pittsburgh, Ctr Learning Res & Dev, Pittsburgh, PA 15260 USA
119
Collaborators
Citations 
PageRank 
122
2352
417.44
Referers 
Referees 
References 
2947
1163
1203
Search Limit
1001000
Title
Citations
PageRank
Year
Can an orchestration system increase collaborative, productive struggle in teaching-by-eliciting classrooms?10.342021
Evaluation of auto-generated distractors in multiple choice questions from a semantic network.10.362021
Teaching Algebraic Model Construction: A Tutoring System, Lessons Learned And An Evaluation00.342020
How Should Knowledge Composed of Schemas be Represented in Order to Optimize Student Model Accuracy?00.342018
Can adaptive prompting improve the collaboration of small face-to-face groups in math classrooms?00.342018
Using the Tablet Gestures and Speech of Pairs of Students to Classify Their Collaboration20.422018
A Preliminary Evaluation of the Usability of an AI-Infused Orchestration System.10.372018
Learning How to Construct Models of Dynamic Systems: An Initial Evaluation of the Dragoon Intelligent Tutoring System.70.592017
The Design And Development Of The Dragoon Intelligent Tutoring System For Model Construction: Lessons Learned20.382017
High Accuracy Detection of Collaboration From Log Data and Superficial Speech Features.10.352017
Can a Non-Cognitive Learning Companion Increase the Effectiveness of a Meta-Cognitive Learning Strategy?20.372017
Regulative Loops, Step Loops and Task Loops50.412016
How do machine-generated questions compare to human-generated questions?20.402016
Electronic Posters to Support Formative Assessment.20.422016
Reflections on Andes’ Goal-free User Interface00.342016
Using HCI Task Modeling Techniques to Measure How Deeply Students Model.10.362013
Model Construction As A Learning Activity: A Design Space And Review50.442013
Instructional Factors Analysis: A Cognitive Model For Multiple Instructional Interventions.262.202011
An analysis of students' gaming behaviors in an intelligent tutoring system: predictors and impacts250.972011
Empirically evaluating the application of reinforcement learning to the induction of effective and adaptive pedagogical strategies401.722011
The neural correlates of strategic reading comprehension: Cognitive control and discourse comprehension.30.482011
From behavioral description to a pattern-based model for intelligent tutoring systems.30.392011
An analysis of gaming behaviors in an intelligent tutoring system70.912010
Developing an intelligent tutoring system using natural language for knowledge representation20.382010
Meta-Cognitive Strategy Instruction in Intelligent Tutoring Systems: How, When, and Why.50.432010
The effect of self-explaining on robust learning10.352010
Inducing effective pedagogical strategies using learning context features90.582010
“Yes!”: using tutor and sensor data to predict moments of delight during instructional activities140.672010
Do micro-level tutorial decisions matter: applying reinforcement learning to induce pedagogical tutorial tactics331.292010
Learning, Interactional, and Motivational Outcomes in One-to-One Synchronous Computer-mediated versus Face-to-Face Tutoring40.842009
Collaborative Dialog While Studying Worked-out Examples00.342009
To Elicit Or To Tell: Does It Matter?90.662009
Scalability Issues in AIED00.342009
The Interaction Plateau: Answer-Based Tutoring < Step-Based Tutoring = Natural Tutoring40.522008
Reinforcement Learning-based Feature Seleciton For Developing Pedagogically Effective Tutorial Dialogue Tactics130.782008
Bi-directional Search for Bugs: A Tool for Accelerating Knowledge Acquisition for Equation-Based Tutoring Systems00.342008
Productive dialog during collaborative problem solving00.342008
Shall We Explain? Augmenting Learning from Intelligent Tutoring Systems and Peer Collaboration40.842008
Trialog: How Peer Collaboration Helps Remediate Errors in an ITS30.502008
Accelerated Future Learning via Explicit Instruction of a Problem Solving Strategy81.022007
Learning from Collaboratively Observing Videos during Problem Solving with Andes00.342007
Domain-Specific and Domain-Independent Interactive Behaviors in Andes30.492007
Exploring Alternative Methods for Error Attribution in Learning Curves Analysis in Intelligent Tutoring Systems20.702007
What's in a Step? Toward General, Abstract Representations of Tutoring System Log Data71.482007
Porting an Intelligent Tutoring System across Domains20.472007
When are tutorial dialogues more effective than reading?1197.322007
Rapidly Creating a Tutorial Dialogue System Using the TuTalk Tool Suite00.342007
Developing pedagogically effective tutorial dialogue tactics: experiments and a testbed.191.212007
Explaining Self-Explaining: A Contrast between Content and Generation141.302007
A comparison of decision-theoretic, fixed-policy and random tutorial action selection50.872006
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