Adaptive Hypermedia Knowledge Management eLearning System (AHKME) – Management and Adaptation of Learning Objects and Learning Design in a Web-Based Information System Towards the Third Generation of Web

• Autores: Hugo Rego
• Directores de la Tesis: Francisco José García Peñalvo (dir. tes.)
• Lectura: En la Universidad de Salamanca ( España ) en 2012
• Idioma: español
• Tribunal Calificador de la Tesis: Jesús Angel Velázquez Iturbide (presid.) , José Rafael García-Bermejo Giner (secret.) , José Adriano Gomes Pires (voc.) , María José Rodríguez Conde (voc.) , María Elena García Barriocanal (voc.)
• Enlaces
  • Tesis en acceso abierto en: GREDOS
• Resumen

  • The World Wide Web has evolved and nowadays passes through a transition to a third generation or Semantic Web, with problems of implantation as users and systems still seem not to be prepared for this transformation. In parallel, also eLearning systems evolved dealing with difficulties of application of Semantic Web concept, requiring specialized technical knowledge of the users to design the systems and resources accordingly to the educational standards and semantic technologies. Moreover, since they lack a practical approach for structure, reuse and semantic search of instructional design and resources.

    In order to solve these problems, this thesis proposes the development of a web-based information system - AHKME (Adaptive Hypermedia Knowledge Management Elearning System) - that combines concepts of Social Web and Web 3.0, regarding advanced collaboration, social semantic web, interoperability, standardization, recommendation and adaptation, in a concept that we called Web/eLearning 2.5. The objective of this system is to prepare the users for the new paradigm and the application of concepts regarding reusability and openness, giving flexibility to the users by offering tools to facilitate the learning design and even the creation of personalized schemas/structure and basic semantics for instructional design. AHKME is based on schemas of educational metadata technologies (e.g. IMS specification) for standardization of resources, data mining and workflow for adaptation, and user's interactivity with learning resources and collaboration through social networking and players.

    Moreover, an evaluation of this proposal was performed through laboratory tests to evaluate the results and behaviour of AHKME, simulating a real learning situation.

    The main goal of this study is to contribute for research and systems approach for preparing the users for this new generation of Web, and by this mean introduce the semantic technologies, cross-platforms systems and "intelligent web".