Harnessing Learner's Collective Intelligence: A Web2.0 Approach to E-Learning

Today, learners have access to a wide range of sources where they regularly search for, find and use learning resources outside the scope of regular course material. Although E-learning systems offer a variety of tools and functionalities, there are no specific provisions for learners to easily store and share these valuable resources. In this work we present SHAREK, a Web2.0 inspired approach to allow learners to store and share their resources. Specifically, SHAREK combines Artificial Intelligence techniques, such as Recommendation Systems and Information Retrieval with Web2.0 technologies, including RSS and tagging to allow easy sharing of resources and knowledge. Finally, we report on the implementation and validation of SHAREK.