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ICAIL
2009
ACM
14 years 2 months ago
Toward assessing law students' argument diagrams
The development of graphical argument models is an active and growing area of research in Artificial Intelligence and Law. The aim is to develop models which may be readily used ...
Collin Lynch, Kevin D. Ashley, Niels Pinkwart, Vin...
IUI
2010
ACM
14 years 4 months ago
Towards intelligent motion inferencing in mathematical sketching
We present a new approach for creating dynamic illustrations to assist in the understanding of concepts in physics and mathematics using pen-based interaction. Our approach builds...
Salman Cheema, Joseph J. LaViola Jr.
AIED
2005
Springer
14 years 1 months ago
Inferring learning and attitudes from a Bayesian Network of log file data
A student's goals and attitudes while interacting with a tutor are typically unseen and unknowable. However their outward behavior (e.g. problem-solving time, mistakes and hel...
Ivon Arroyo, Beverly Park Woolf
ICAIL
2007
ACM
13 years 11 months ago
Learning by diagramming Supreme Court oral arguments
This paper describes an intelligent tutoring system, LARGO, that helps students learn skills of legal reasoning with hypotheticals by analyzing oral arguments before the US Suprem...
Kevin D. Ashley, Niels Pinkwart, Collin Lynch, Vin...
AAAI
1998
13 years 9 months ago
Procedural Help in Andes: Generating Hints Using a Bayesian Network Student Model
One of the most important problems for an intelligent tutoring system is deciding how to respond when a student asks for help. Responding cooperatively requires an understanding o...
Abigail S. Gertner, Cristina Conati, Kurt VanLehn