Existing Learner Models

In a recent study1) I came up with a nice way to classify different learner models:

Existing Learner Models

PAPI Learner: describes learner information for communication among cooperating systems. It has six categories

IMS LIP covers information similar to that found in a person’s CV, focusing more on the learner’s history and learning experience. This is due to the fact that LIP was developed to model the lifelong records of learners’ achievement and to transfer their records between institutions. Learner’s information in LIP is presented in eleven categories

eduPerson is a specification released jointly by Internet2 (www.internet2.edu) and Educause (www.educause.edu). Similar to PAPI and IMS LIP, eduPerson was designed to facilitate communication between higher education institutions, in particular to move information about people between US universities . The information covered by this standard is similar to the one found in an employee information system, as most of the elements hold data about the person and the organization they are a member of. Since its main purpose is exchanging data, the descriptions provided are very detailed comparing to other standards. eduPerson associates learner information with forty-three elements classified in two categories

Dolog LP is a learner profile suggested by Dolog et al that uses RDF (www.w3.org/TR/rdfprimer/) and learner ontologies to enable semantically enhanced learning systems to provide personalisation services. It takes advantage of the flexibility of RDF in encoding user profiles to include attributes from multiple schema, and the ability to add more attributes as necessary depending on how it will be used. Since the aim of Dolog LP is to provide personalisation services, the model was based on the combination of PAPI and IMS LIP. It describes a learner in five categories

FOAF is an RDF vocabulary that provides a set of properties and classes to describe people, documents and organizations. It was developed for building communities and social groupings. FOAF distinguishes five categories for describing a person:

Moreover the same paper compares all these five learning models based on a specified taxonomy

1)Towards a Semantic Modeling of Learners for Social Networks

Asma Ounnas, Ilaria Liccardi, Hugh C Davis, David E Millard, and Su A White, presented at AH06

http://www.win.tue.nl/SW-EL/2006/camera-ready/01-AsmaOunas.pdf