Focusing on the classes of different object recognition benchmarks (PASCAL VOC 2012, Caltech-256, ImageNet, GRAZ and OxfordPet), our approach collects novel training images, compared to the ones obtained by exploiting Google Images with the simple text class-label.
The strategy uses semantic knowledge coming from WordNet, coupled with the statistical power provided by Google Ngram, to select a set of meaningful text strings related to the text class-label (e.g., "cat"), that are subsequently fed into the Google Images search engine, producing sets of images with high training value.
The present study investigated the impact of critical discourse analysis (CDA) on TEFL students' critical thinking (CT) ability in Reading Journalistic Texts classes.
But in all likelihood, texting classes will be the next big thing and we'll soon evolve to have long, muscular thumbs as our primary communication digit.
Nine out of ten students text in class, Nine out of ten students text in class, and more and more teachers begin to incorporate text into their teaching anyways.
According to the study, business students text in class more than other students and women are more likely than men to text during class.
The rest is simply text: syllabuses, class notes, reading lists, problem sets, homework assignments.
Despite this, 40% felt it was acceptable to text in class.
Thus, college students with high levels of self-regulation are less likely to text during class and more likely to maintain attention to classroom learning.
