Today’s instructional designers can choose from a wide variety of authoring and online learning development tools. With the evolution of learning technology, expectations from outside the learning and training discipline are looking to the technology to provide instructional design guidance and allow novice developers to create instructionally sound online learning. This chapter explores the to...

This article provides a detailed overview of the CPN text-to-text similarity system that we participated with in the Semantic Textual Similarity task evaluations hosted at *SEM 2013. In addition to more traditional components, such as knowledge-based and corpus-based metrics leveraged in a machine learning framework, we also use opinion analysis features to achieve a stronger semantic represent...

Within the framework of statistical learning theory we analyze in detail the so-called elastic-net regularization scheme proposed by Zou and Hastie [H. Zou, T. Hastie, Regularization and variable selection via the elastic net, J. R. Stat. Soc. Ser. B, 67(2) (2005) 301–320] for the selection of groups of correlated variables. To investigate the statistical properties of this scheme and in partic...

Recurrent nets are in principle capable to store past inputs to produce the currently desired output. This recurrent net property is used in time series prediction and process control. Practical applications involve temporal dependencies spanning many time steps between relevant inputs and desired outputs. In this case, however, gradient descent learning methods take to much time. The learning ...

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Multiple classifier systems based on neural networks can give improved generalisation performance as compared with single classifier systems. We examine collaboration in multi-net systems through in-situ learning, exploring how generalisation can be improved through the simultaneous learning in networks and their combination. We present two in-situ trained systems; first, one based upon the sim...

Petri nets are excellent networks which have great characteristics of combining a welldefined mathematical theory with a graphical representation of the dynamic behavior of systems. The theoretical aspect of Petri nets allows precise modeling and analysis of system behavior, at the same time, the graphical representation of Petri nets enable visualization of state changes of the modeled system ...

The mStar environment for distributed education utilizes the WWW and IP-multicast to enable teacher-student collaboration over large geographic distances. Several educational projects, spanning from secondary school courses to company internal training, have deployed the mStar environment. This paper reports on experiences gained over a year of practice at the Luleå University of Technology and...

This paper describes difficulties when tutoring in virtual learning environments.Activity Visualization (AV) is proposed as technology support for greaterawareness and understanding of learning processes. Evaluations based on richexperiences from a course have been conducted. The results are positiveconfirming a need for technology support and indicating that AV is a promising<l...