@ARTICLE{,
author = {M. Mukunoki and N. Pattanasri and M. Minoh},
journal = {IEEE Transactions on Learning Technologies},
title = {Learning to Estimate Slide Comprehension in Classrooms with Support Vector Machines},
year = {2012},
volume = {5},
number = {},
pages = {52-61},
keywords={support vector machines;educational administrative data processing;learning (artificial intelligence);pattern classification;psychology;poor lecture comprehension;slide comprehension estimation;support vector machine;comprehension assessment;classroom learning;student comprehension;machine learning technique;presentation slide classification;comprehension level;presentation-based features;bag-of-words feature vector;text classification;Support vector machines;Machine learning;Materials;Training;Accuracy;Kernel;Feature extraction;SVM.;Lecture analytics;lecture comprehension;learning skills},
doi = {10.1109/TLT.2011.22},
url = {doi.ieeecomputersociety.org/10.1109/TLT.2011.22},
ISSN = {1939-1382},
month={01}
}