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EDM
2009
116views Data Mining» more  EDM 2009»
14 years 9 months ago
Determining the Significance of Item Order In Randomized Problem Sets
Researchers who make tutoring systems would like to know which sequences of educational content lead to the most effective learning by their students. The majority of data collecte...
Zachary A. Pardos, Neil T. Heffernan
AIED
2005
Springer
15 years 5 months ago
Engagement tracing: using response times to model student disengagement
Time on task is an important predictor for how much students learn. However, students must be focused on their learning for the time invested to be productive. Unfortunately, stude...
Joseph E. Beck
SIGOPS
2008
146views more  SIGOPS 2008»
14 years 11 months ago
Vigilant: out-of-band detection of failures in virtual machines
What do our computer systems do all day? How do we make sure they continue doing it when failures occur? Traditional approaches to answering these questions often involve inband m...
Dan Pelleg, Muli Ben-Yehuda, Richard Harper, Lisa ...
JMLR
2010
116views more  JMLR 2010»
14 years 6 months ago
Feature Selection, Association Rules Network and Theory Building
As the size and dimensionality of data sets increase, the task of feature selection has become increasingly important. In this paper we demonstrate how association rules can be us...
Sanjay Chawla
ICALT
2008
IEEE
15 years 6 months ago
A Pervasive Assessment System: Extending QTI to Incorporate Ad-hoc Wireless Sensors
Ad-hoc sensor networks provide a cheap and scalable technology for constructing pervasive learning assessment systems that are embedded in physical environments. This paper propos...
Imran A. Zualkernan, Ahmed Wasfy, Imad Zabalawi, M...