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EDM
2010
139views Data Mining» more  EDM 2010»
14 years 10 months ago
Automatic Rating of User-Generated Math Solutions
Intelligent tutoring systems adapt to users' cognitive factors, but typically not to affective or conative factors. Crowd-sourcing may be a way to create materials that engage...
Turadg Aleahmad, Vincent Aleven, Robert Kraut
EDM
2010
101views Data Mining» more  EDM 2010»
14 years 10 months ago
Off Topic Conversation in Expert Tutoring: Waste of Time or Learning Opportunity
While many aspects of tutoring have been identified and studied, off topic conversation has been largely ignored. In this paper, off topic conversation during 50 hours of one-to-on...
Blair Lehman, Whitney L. Cade, Andrew Olney
EDM
2010
129views Data Mining» more  EDM 2010»
14 years 10 months ago
Skill Set Profile Clustering: The Empty K-Means Algorithm with Automatic Specification of Starting Cluster Centers
While students' skill set profiles can be estimated with formal cognitive diagnosis models [8], their computational complexity makes simpler proxy skill estimates attractive [...
Rebecca Nugent, Nema Dean, Elizabeth Ayers
EDM
2010
145views Data Mining» more  EDM 2010»
14 years 10 months ago
Mining Rare Association Rules from e-Learning Data
Rare association rules are those that only appear infrequently even though they are highly associated with very specific data. In consequence, these rules can be very appropriate f...
Cristóbal Romero, José Raúl R...
EDM
2010
153views Data Mining» more  EDM 2010»
14 years 10 months ago
An Analysis of the Differences in the Frequency of Students' Disengagement in Urban, Rural, and Suburban High Schools
We study how student behaviors associated with disengagement differ between different school settings. Towards this, we investigate the variation in the frequency of off-task behav...
Ryan Shaun Joazeiro de Baker, Sujith M. Gowda