Community Research and Development Information Service - CORDIS

Adaptation module

The Adaptation Module is in charge of providing run-time adaptations to cope with the learning needs and unpredictable situations that come across while interacting with the system. In other words, it identifies relevant pedagogical situations to enhance learning experience based on previous users' interactions.

When detected one of these situations, the system will recommend to each individual learner in each relevant pedagogical situation of the course the most appropriate operation taking into account the interactions performed by a group of similar learners, based on implicit collaboration interactions. As result a rich interaction model about the implicit collaborations performed in our system is obtained, updating the learner model.

In our approach, inference and machine learning techniques are used in (1) modelling tasks to build and update the models, (2) diagnosis tasks (computing the risk level of an educational problem for a learner) and (3) identifying similar learners with collaborative filtering techniques. All them are based on the analysis of the interactions performed (individual and implicit collaborative interactions).

The recommendation process is supported by a multiagent architecture, where different types of agents (coordinator, recommendator, model and modelling) interact with each other to give the corresponding recommendation to the learner.

Reported by

Escuelas Andres Manjon. C/ Francos Rodriguez, 77
28039 Madrid
See on map
Follow us on: RSS Facebook Twitter YouTube Managed by the EU Publications Office Top