In the last years we have witness a fast proliferation of collaborative and cooperative systems on education with the goal of facilitating the access to information, the communication between people, work and distance learning, such as e-learning platforms like Blackboard, Moodle, Sakai, DotLRN, and collaborative social networks like Facebook, Myspace y Twitter.
The usage of these systems has generated a huge volume of information. The quality of educational resources has become an issue with great importance in e-learning environments, since this type of systems were created there has been a massive production of resources without taking into account their quality, where aspects like their reusability have been undertaken (Polsani, P., 2003). Today already exist some tools that define quality aspects and criteria to take into account when evaluation educational resources.

With the main objective of providing educational resources (learning objects) with quality so that teachers and students may use in order to reach the best teaching/learning process, in the GRIAL investigation group, we have been developing AHKME (Adaptive Hypermedia Knowledge Manegement E-Learning System) (Rego, H,, Moreira, T. & Garcia F.J., 2005a, 2005b, 2006, 2007a, 2007b), which is a system that aims to be  modular and extensible  providing adaptive and knowledge management abilities for teachers and students.

In our case, our interest is to study the knowledge management approach to the system, which is also an issue of investigation in the research group, on how to automate the quality evaluation of educational resources through the metadata that describe them using intelligent agents with data mining techniques like decision trees (Rokach L. & Maimon, O., 2007)..

We intend to exploit and analyze different tools and methodologies that already exist to evaluate the quality of learning objects, giving a special importance to the one developed in the investigation group (Morales, E. M., García, F. J. & Barrón, Á., 2006) (Morales, E. M., García, F. J., Barrón, A. & Gil, A. B., 2007), study specifications and standards used to describe learning objects like IMS Metadata (Barker, P., Campbell, L.M., Roberts, A. and Smythe, C., 2006)  and IEEE LOM (IEEE, 2002), which are based on XML (Bray, T., Paoli J. & Sperberg-MacQueen C.M., 2004), not only as a mean to describe them but also to assure their interoperability and standardization.

Define learning objects’ quality evaluation collaborative tolls and search engines following the quality parameters that are going to be studied always having in mind the goal the use of quality resources by teachers and students.