Erla Morales

Metadata and Knowledge Management Driven Web-Based Learning Information System Towards Web/E-Learning 3.0

AHKME e-learning system main aim is to provide a modular and extensible system with adaptive and knowledge management abilities for students and teachers. This system is based on the IMS specifications representing information through metadata, granting semantics to all contents in it, giving them meaning. Metadata is used to satisfy requirements like reusability, interoperability and multipurpose. The system provides authoring tools to define learning methods with adaptive characteristics, and tools to create courses allowing users with different roles, promoting several types of collaborative and group learning. It is also endowed with tools to retrieve, import and evaluate learning objects based on metadata, where students can use quality educational contents fitting their characteristics, and teachers have the possibility of using quality educational contents to structure their courses. The metadata management and evaluation play an important role in order to get the best results in the teaching/learning process.

Knowledge management for e-learning based on learning objects: a qualitative focus

In todays world, WWW as a platform to deliver instruction enables e-learning systems to manage a large quantity of different digital content. Teachers contribute their expert knowledge and students contribute their investigation works, tasks, etc. As a consequence of this, the content repository grows with a lot of information. Then, an urgent need exists to retrieve the specific information they really need through e-learning systems. reusable learning object (LOs) concepts and standards for their application represent an advantage for knowledge management systems for e-learning systems. Users are able to manage and reuse content according to their needs without interoperability problems. However, the quality of the LOs content is not guaranteed. This paper attempts to analyze what must be considered to knowledge management for e-learning systems together with LOs and standars implication. A definition of LOs is proposed and quality criteria are suggested to evaluate LOs according to their characteristics and specific contexts.

Metadata and knowledge management driven web-based learning information system

AHKME e-learning systems main aim is to provide a modular and extensible system with adaptive and knowledge management abilities for students and teachers. This system is based on the IMS specifications representing information through metadata, granting semantics to all contents in it and giving them meaning. Metadata is used to satisfy requirements like reusability, interoperability and multipurpose. The system provides authoring tools to define learning methods with adaptive characteristics and tools to create courses allowing users with different roles, promoting several types of collaborative and group learning. It is also endowed with tools to retrieve, import and evaluate learning objects based on metadata, where students can use quality educational contents fitting their characteristics and teachers have the possibility of using quality educational contents to structure their courses. The metadata management and evaluation play an important role in order to get the best results in the teaching/learning process.

Educational technological specifications to support distance education in an e-learning platform

AKHMEs aim is to provide an e-learning system with adaptive characteristics and knowledge management abilities for students and teachers. With this system we aim to satisfy the requirements of reusability, interoperability and multipurpose. The system represents all the information based on metadata, providing authoring tools for teachers to define learning methods with adaptive characteristics, as well as tools to create units of learning that allow users with different roles, promoting both collaborative and group learning of several types. The system is endowed with a knowledge management sub-system that provides collaborative and automatic evaluation of learning objects, and retrieval of learning objects. This sub-system enables the possibility of students to use quality educational contents that fit their necessities, previous knowledge and learning styles, and teachers have the possibility of using and retrieving quality educational contents to structure their courses. We describe the contribution of this platform to distance education.

Metadata and Knowledge Management Driven Web-Based Learning Information System

AHKME e-learning system main aim is to provide a modular and extensible system with adaptive and knowledge management abilities for students and teachers. This system is based on the IMS specifications representing information through metadata, granting semantics to all contents in it, giving them meaning. Metadata is used to satisfy requirements like reusability, interoperability and multipurpose. The system provides authoring tools to define learning methods with adaptive characteristics, and tools to create courses allowing users with different roles, promoting several types of collaborative and group learning. It is also endowed with tools to retrieve, import and evaluate learning objects based on metadata, where students can use quality educational contents fitting their characteristics, and teachers have the possibility of using quality educational contents to structure their courses. The metadata management and evaluation play an important role in order to get the best results in the teaching/learning process.