Afişare conţinut web
Afişare conţinut web
TERENCE is a complex adaptive learning system, with learning material for poor comprehenders, hearing and deaf, that is partly designed by experts and partly semi-automatically generated. The part that is automatically generated is then revised manually by pedagogy experts via a personalised interface for them.
More precisely, the learning material is made of the following:
Textual components of smart games are automatically generated by the TERENCE system by means of natural language and reasoning modules. The textual components of the learning material, e.g., stories and games, are then automatically assembled by a dedicated visualisation module.
This web page contains the links to
Two natural language processors, one in English and one in Italian, analyse flat stories and annotate the factual events and some links between them, e.g., temporal links. The natural language processors can be invoked via the English annnotation service and the Italian annnotation service with input flat texts of stories in the respective languages.
The stories, annotated by the natural language processors, are then passed on to the reasoning services that do two things:
Finally, the visualisation module automatically assembles textual components for stories and smart games together.
A PDF version of the stories and the games is also available for download here:
The natural language services allow us to analyse flat stories and annotate them. The reader can access the repositories of the resulting annotated stories in English and of annotated stories in Italian.
The reasoning services allow us to process the annotated stories and generate textual components of smart games automatically. The reader can access the current versions of the generated textual smart games' repository.
In order to facilitate the exploitation of the TERENCE stories and smart games for research purposes, we prepared and published the TERENCE ontology and datasets in a Linked Open.Data (LOD) compliant format at http://datahub.io/dataset/terence as well as at the LinkedUp repository of educational LOD. Stories and games (and their metadata) can be now accessed and linked via unique URIs and a SPQRQL endpoint is provided for querying the dataset. Moreover, links to the TERENCE annotations of the stories and textual versions of the games, automatically generated, will be added very soon.
The textual stories and textual smart games, as well as other components of the TERENCE learning material, are illustrated by professional designers. Relaxing games are also developed by them according to the specifics set in D2.3. The reader can access the repositories of illustrations and relaxing games.
The second release of the entire system for the large scale evaluation was made available at the end of February 2013. The final release of the entire system was made available at the end of the project, i.e., September 2013.
The TERENCE project is funded by the European Commission through the Seventh Framework Programme for Research and Technological Development, Strategic Objective ICT- 2009.4.2: ICT: Technology-enhanced learning. The contents of the TERENCE site reflects only the authors' view and the European Commission is not liable for it.