Peer assessment is a special form of collaborative learning, in which peer students learn through assessing others‟ work. Recently, the design of collaboration scripts is a new focus area within the CSCL community. In this paper, we present a method based on open e-learning standards to script peer assessment processes. A standard-compatible tool can help users to script various forms of peer a...

Content personalization of e-learning resources has the opportunity to encourage self-directed learning and collaborative activities between students with varying cultures and backgrounds. In the case of students with disabilities, it also has the potential to provide equality of access to learning resources that can be presented in formats that are compatible with a student’s needs and prefere...

Current approaches to learning vector representations of text that are compatible between different languages usually require some amount of parallel text, aligned at word, sentence or at least document level. We hypothesize however, that different natural languages share enough semantic structure that it should be possible, in principle, to learn compatible vector representations just by analy...

Objectives: to compare the acute and chronic effects of ethanol on the neural development, by analysis of the ontogenetic neural structure of mammals. Methods: searches were performed in the following electronic databases: MEDLINE, SciElo, PubMed, LILACS, CAPES periodical, and the Open Journal System. The descriptors used were: "chronic ethanol toxicity", "chronic alcohol toxicity", "acute etha...

According to the ideomotor theory, actions are represented in terms of their perceptual effects, offering a solution for the correspondence problem of imitation (how to translate the observed action into a corresponding motor output). This effect-based coding of action is assumed to be acquired through action-effect learning. Accordingly, performing an action leads to the integration of the per...

The Acquisition of Morphophonology Under a Derivational Theory: A Basic Framework and Simulation Results Ewan Dunbar Department of Linguistics University of Toronto 2008 Since Rumelhart and McClelland 1986, the alternations found in the simple morphophonology of the English past tense have been run through numerous learning algorithms. These algorithms generally perform well at learning these v...

The future of robots, as our companions is dependent on their ability to understand, interpret and represent the environment in a human compatible manner. Towards this aim, this work attempts to create a hierarchical probabilistic concept-oriented representation of space, based onobjects. Specifically, it details efforts taken towards learning and generating concepts and attempts to classify pl...

On the research of the transcoding and the adaptive distribution and scheduling of education video with multiplatform compatibility, this paper proposes the overall technological solution of "multi-screen in one" technology oriented ubiquitous learning (U-learning) on the education video, realizing the seamless joint of education video between different screens so as to ensure the continuous le...

We propose an algorithm for meta-learning that is model-agnostic, in the sense that it is compatible with any model trained with gradient descent and applicable to a variety of different learning problems, including classification, regression, and reinforcement learning. The goal of meta-learning is to train a model on a variety of learning tasks, such that it can solve new learning tasks using...