Abstract. This paper presents a machine learning approach for paraphrase identification which uses lexical and semantic similarity information. In the experimental studies, we exam...
This article analyzes the impact of a computer simulation (business game) on the users' perceived learning. The theoretical model developed in this paper is derived from the ...
We consider the general problem of learning from labeled and unlabeled data, which is often called semi-supervised learning or transductive inference. A principled approach to sem...
Dengyong Zhou, Olivier Bousquet, Thomas Navin Lal,...
Traditionally, class periods have meant that students listen to a professor lecture for about an hour. Cooperative learning can replace some of that lecture time with methods desi...
We present the design of a new web application framework for collaborative learning. The framework guides users (i.e. teachers) in implementing online activities based on well-know...