Computer-supported collaborative learning (CSCL) environments are used today as a platform for delivering distance education and as a tool to improve student understanding via collaborative learning methods. The success of a CSCL environment in improving the knowledge of a student depends on the quality of group work of its participants. However, forming human user groups that allow all the use...

Computer-Supported Collaborative Learning environments (CSCL) are used today as a platform for delivering distance education and as a tool to improve student understanding using collaborative learning methods. The success of a CSCL environment in improving the knowledge of a student depends on the quality of group work of its participants. However, forming human user groups that allow all the u...

Development is fundamentally about understanding people, their Motivations, behaviors and reactions. We have two primary means of understanding people— observing what they do, and what they say. As the AI4D community has noted, people’s increased use of mobile devices has led to a wealth of new data relevant to these topics. We are on the cusp of developing incredibly powerful tools that can he...

We deal with embedding a large scale knowledge graph composed of entities and relations into a continuous vector space. TransE is a promising method proposed recently, which is very efficient while achieving state-of-the-art predictive performance. We discuss some mapping properties of relations which should be considered in embedding, such as reflexive, one-to-many, many-to-one, and many-to-ma...

This paper presents a novel algorithm to spot a known video sequence within a live video stream. The algorithm is split into two branches, a branch to create a digital signature out of the video sequence in question, and another is to search for this sequence within a live video stream. The algorithm is categorized to consume low processing power and satisfy real-time requirements. Thus, this a...

We show that generalized median stable matchings exist in many-to-many matching markets when contracts are strong substitutes and satisfy the law of aggregate demand.

This paper proposes a novel noise-aware character alignment method for bootstrapping statistical machine transliteration from automatically extracted phrase pairs. The model is an extension of a Bayesian many-to-many alignment method for distinguishing nontransliteration (noise) parts in phrase pairs. It worked effectively in the experiments of bootstrapping Japanese-to-English statistical mach...