Hugo Rego

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.

Learning Objects for eLearning Systems

Although LO management is an interesting subject to study due to the current interoperability potential, it is not promoted very much because a number of issues remain to be resolved. LOs need to be designed to achieve educational goals, and the metadata schema must have the kind of information to make them reusable in other contexts. This paper promotes the design, implementation and evaluation of learning objects in the field of university education, with a specific focus on the development of a metadata Typology and quality evaluate tool.

Web-Based Learning Information System for Web 3.0

With the emergence of Web/eLearning 3.0 we have been developing/adjusting AHKME in order to face this great challenge. One of our goals is to allow the instructional designer and teacher to access standardized resources and evaluate the possibility of integration and reuse in eLearning systems, not only content but also the learning strategy. We have also integrated some collaborative tools for the adaptation of resources, as well as the collection of feedback from users to provide feedback to the system. We also provide tools for the instructional designer to create/customize specifications/ontologies to give structure and meaning to resources, manual and automatic search with recommendation of resources and instructional design based on the context, as well as recommendation of adaptations in learning resources. We also consider the concept of mobility and mobile technology applied to eLearning, allowing access by teachers and students to learning resources, regardless of time and space.

Learning objects quality management for e-learning systems

Although LO management is an interesting subject to study due to the current interoperability potential, it is not promoted very much because a number of issues remain to be resolved. LOs need to be designed to achieve educational goals and the metadata schema must have the kind of information to make them reusable in other contexts. This paper promotes the design, implementation and evaluation of learning objects in the field of university education, with a specific focus on the development of a metadata typology quality evaluate tool and a methodology to promote LOs of quality supported by multi-agent architecture.

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.

The impact of metadata on AHKME e-learning platform

AHKMEs aim is to provide a system with adaptive characteristics and knowledge management abilities for students and teachers. The development of this system is based on metadata, since the knowledge representation is made through it, and knowledge management of all the information in the platform is done using the descriptive metadata. In this system metadata is used to satisfy the requirements of reusability, interoperability and multipurpose. The system provides authoring tools for teachers to define learning methods with adaptive characteristics, as well as tools to create units of learning allowing users with different roles, promoting both collaborative and group learning of several types. To support knowledge management, the system is endowed with tools to retrieve, import and evaluate learning objects, enabling the possibility of students to use quality educational contents that fit their characteristics. And teachers have the possibility of using and retrieving quality educational contents to structure their courses.

A Web-Based Learning Information System Resource and Knowledge Management

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 courses. The metadata management and evaluation play an important role in order to get the best results in the teaching/learning process.