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AAI
2004
75views more  AAI 2004»
13 years 4 months ago
Predicting Students' Performance In Distance Learning Using Machine Learning Techniques
Sotiris B. Kotsiantis, Christos Pierrakeas, Panayi...
ITS
2010
Springer
115views Multimedia» more  ITS 2010»
13 years 9 months ago
In the Zone: Towards Detecting Student Zoning Out Using Supervised Machine Learning
This paper explores automatically detecting student zoning out while performing a spoken learning task. Standard supervised machine learning techniques were used to create classiď¬...
Joanna Drummond, Diane J. Litman
AIED
2007
Springer
13 years 10 months ago
Relating Machine Estimates of Students' Learning Goals to Learning Outcomes: A DBN Approach
Students’ actions while working with a tuoring system were used to generate estimates of learning goals, specifically, the goal of learning by using multimedia help resources, an...
Carole R. Beal, Lei Qu
ICALT
2007
IEEE
13 years 11 months ago
Designing a Bayesian Network based Student Model for Distance Learning Environments
This work proposes the exploration of student’s information through the use of Bayesian Networks. By using thisapproach we aim to model the uncertainty inherent to the studentâ€...
Michele Silva, Ricardo Azambuja Silveira, Cecilia ...
ANNS
2007
13 years 6 months ago
Direct and indirect classification of high-frequency LNA performance using machine learning techniques
The task of determining low noise amplifier (LNA) high-frequency performance in functional testing is as challenging as designing the circuit itself due to the difficulties associa...
Peter C. Hung, Seán F. McLoone, Magdalena S...