Deep learning based discriminative methods, being the state-of-the-art machine learning techniques, are ill-suited for learning from lower amounts of data. In this paper, we propose a novel framework, called simultaneous two sample learning (s2sL), to effectively learn the class discriminative characteristics, even from very low amount of data. In s2sL, more than one sample (here, two samples) ...

We show in this position paper how we designed Proactive Scenarios for an automatic and enhanced management of the online assignments on Moodle for both student and teacher users, through their implementation with Proactive Rules to be run on top of our prototype Proactive Engine developed for this LMS. According to the diversity of issues that arise from the users activity on LMS, Proactive Sc...

Open and Distance Learning platforms are more than system delivering pedagogical ressources. They require mechanisms for the enactment and coordination of pedagogical modules and learning activities. A common solution to express learning paths in learning management systems (LMS) can be the use of Educational Modelling Languages (EML). The next step will be the enactment of these models. For th...

Recently, digital learning has attracted a lot of researchers to improve the problems of learning carelessness, low learning ability, lack of concentration, and difficulties in comprehending the logic of math. In this study, a digital learning system based on Kinect somatosensory system is proposed to make children and teenagers happily learn in the course of the games and improve the learning ...

While E-Learning is increasingly influencing university and workplace education in Europe, several critical issues still have to be solved in order to achieve the full potential of technology enhanced learning in many of these learning scenarios. The EU/IST FP6 PROLEARN Network of Excellence in Technology Enhanced Learning is focussing on these issues, and advancing the state of the art in this...

A key task of “work-based learning” (WBL) is to raise the skills levels of young people. WBL providers who deliver over 80% of work-based, vocational learning across the UK. However, the future of such providers is becoming very uncertain and already their numbers are declining as funding cuts and quality inspections begin to bite. The context of WBL is examined in relation to the notion of the...

We present experiments in which a group of autonomous mobile robots learn to perform fundamental sensor-motor tasks through a collaborative learning process. Behavioural strategies (i.e. motor responses to sensory stimuli) are encoded by means of genetic strings stored on the individual robots, and adapted through a genetic algorithm executed by the entire robot collective: robots communicate t...

In this article, six different exploitation possibilities of an educational ontology based, mobilized learning management system are presented. The focal point of this system is the educational ontology model. The first version of this educational ontology model serves as a foundation for curriculum development and adaptive knowledge testing. The extended educational ontology model is the found...

Augmented Reality (AR) technology allows the inclusion of virtual elements on a vision of actual physical environment for the creation of a mixed reality in real time. This kind of technology can be used in educational settings. However, the current AR authoring tools present several drawbacks, such as, the lack of a mechanism for tracking the students’ activities, the capability of detecting c...

In this paper, we address the problem of competency comparison, providing some heuristics to help match the competencies of users with those involved in task-based scenario components (actors, tasks, resources). Competencies are defined according to a structured competency model based on a domain ontology. We provide a context for recommendation through a learning scenario model. The approach h...