CROKODIL provides support for

the collaborative acquisition and

management of web resources

for learning purposes by

offering:

Semantic tagging (tag types)

Activity hierarchies to

structure these resources

Learner groups

Application Scenario

Towards Ranking

in Folksonomies for

Personalized Recommender

Systems in E-Learning

Mojisola Anjorin, Christoph Rensing, Ralf Steinmetz

Contact: mojisola.anjorin@kom.tu-darmstadt.de

Personalized recommender systems

support learners by suggesting relevant

resources for learning purposes.

The challenge however, is identifying

these relevant resources considering the

learner’s personal context and needs.

To this aim, additional semantics found

in folksonomies can be exploited to

enhance the ranking of resources

Motivation

Create a folksonomy-based

recommender system

Rank resources considering

context semantics (Extension of

FolkRank)

Integrate User Feedback and

Relevance Ranking (Rochio’s

approach)

Offer explanations of

recommendations to stimulate

reflection

Enrich recommendations with

external learning resources (OER)

Conceptual Approach

Implement and

evaluate algorithms

Integrate approach in

application scenario

Evaluate approach

Conduct usability

study to evaluate user

acceptance

Future Work