Implementation and Integration

  • Carsten Ullrich
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5260)


In this chapter, I describe technical aspects of Paigos. The implementation, i.e. the Java classes and interfaces, is described in the first section. The interfaces work on the level of tasks: they take a pedagogical task as input and return a course that achieves the task as a result. The second section describes how the interfaces are used in the integration of Paigos in a Web-based learning environment, in this case ActiveMath. The section illustrates the advantages that arise in a tightly coupled integration, where different components of the learning environment have direct access to the course generator: whenever a component needs to make informed decisions about content to present to the learner, it can use the functionalities offered by the course generator. Thus, knowledge is not duplicated and a coherent pedagogical approach regarding content selection is ensured in the overall system, since a single component, the course generator, is responsible for this functionality. The step from a tight, system confined integration to a service architecture is described in the final section of the chapter. In this setting, an external learning environment registers its repository at the course generation Web-service and subsequently can access Paigos’s functionalities. The interfaces partly remain the same: pedagogical tasks are sent to the course generating service, which returns a course as a result. However, some additional interfaces are required for the repository registration, such as exchanging information about the metadata of the educational resources. As a result, if a system needs to offer course generation to its learners, it can use the functionalities offered by Paigos and is not required to implement the pedagogical knowledge itself.


Educational Resource Pedagogical Task Assembly Tool Natural Language Generation Tutorial Interaction 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Carsten Ullrich

    There are no affiliations available

    Personalised recommendations