Robot-Oriented Generative Learning Objects: An Agent-Based Vision

Author(s):  
Vytautas Štuikys ◽  
Renata Burbaitė ◽  
Vida Drąsutė ◽  
Kristina Bespalova
Author(s):  
Nicandro Farias Mendoza ◽  
Gabriel Cruz ◽  
Orvil Ceja ◽  
Miguel Díaz ◽  
José Macías
Keyword(s):  

Author(s):  
Ricardo Azambuja Silveira ◽  
Eduardo Rodrugues Gomes ◽  
Vinicius Heidrich Pinto ◽  
Rosa Maria Vicari
Keyword(s):  

Author(s):  
Saleh AlZahrani ◽  
Aladdin Ayesh ◽  
Hussein Zedan

Grids are increasingly being used in applications, one of which is e-learning. As most of business and academic institutions (universities) and training centres around the world have adopted this technology in order to create, deliver and manage their learning materials through the Web, the subject has become the focus of investigate. Still, collaboration between these institutions and centres is limited. Existing technologies such as grid, Web services and agents are promising better results. In this article the authors support building our architecture Regionally Distributed Architecture for Dynamic e-Learning Environment (RDADeLE) by combining those technologies via Java Agent DEvelopment Framework (JADE). By describing these agents in details, they prove that agents can be implemented to work well to extend the autonomy and interoperability for learning objects as data grid.


Author(s):  
Tan Wee Chuen ◽  
Baharuddin Aris ◽  
Mohd Salleh Abu

This chapter aims to guide the readers through the design and development of a prototype Web-based learning system based on the integration of learning objects with the principles of generative learning to improve higher order thinking skills. The chapter describes the conceptual model called Generative Learning Object Organizer and Thinking Tasks (GLOOTT) which was used to design and build a technology- supported learning environment. The chapter then describes how the effectiveness of the Web-based learning system was evaluated and reflects on the importance of the findings more generally.


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