Learning management system: evolving from silos to structures

National learning managment system, from idea to action

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Evolving Memory Cell Structures for Sequence Learning

Long Short-Term Memory (LSTM) is one of the best recent supervised sequence learning methods. Using gradient descent, it trains memory cells represented as differentiable computational graph structures. Interestingly, LSTM’s cell structure seems somewhat arbitrary. In this paper we optimize its computational structure using a multiobjective evolutionary algorithm. The fitness function reflects ...

Evolving from a Traditional Distance Learning Model to e-Learning

This paper presents experiences from the course of Informatics at the Hellenic Open University. Problems faced and lessons learned are presented relating to the introduction of e-learning capabilities into this course that was initially based on a traditional distance-learning model. The paper discusses the need that imposed the introduction of e-learning infrastructure and procedures into the ...

From Silos to Mashups Conformance through Widget-based Mashup Approaches to Learning Environments

Different types of digital learning environments have evolved over the years and there is an ongoing evolvement of different concepts and technology. During the last 10-15 years Learning Management Systems have dominated. In recent years there has been a development of concepts like Personal Learning Environments using mashup technology. This paper presents a study of a mashup approach to the d...

Breaking Risk Management Out of its Silos