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LTfLL

Knowledge Management  

Language Technology for Lifelong Learning

LTfLL aims at creating the next-generation support and advisory services that enhance individual and collaborative competence building and knowledge creation in educational and organisational settings. The project therefore combines natural language processing technologies with cognitive models in these services.

• Current Position of the Learner
  Appreciation of learner requirements leading to better advice on study plans and selection of study resources. Services will offer semi-automatic analysis and comparison of learner portfolios to the domain knowledge and continuous modelling and measurement of conceptual development.


• Support & Feedback
  Progress monitoring based on learning activities rather than on formal assessments to advice appropriate activities for further competence building. Services are developed based on analysis of the interactions of students -- using Natural Language Processing (NLP) and Social Network Analysis (SNA) -- and textual output of students -- with the help of Latent Semantic Analysis and other NLP techniques.


• Social & Informal Learning
  A knowledge sharing infrastructure is construed that allows for the co-construction of knowledge in social and informal learning. It facilitates comparing and sharing private knowledge to give rise to new common knowledge. Ontologies for formal domain representation are combined with social tagging.

Visit the project website: http://www.ltfll-project.org


Participant(s): Peter Scott