Abstract | ||
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ADAPTAPlan project provides dynamic assistance to support the author in developing instructional design tasks which are included in learning design templates generated in terms of user modelling, planning and machine learning techniques, and making a pervasive use of educational specifications (IMS family) and standards (IEEE-LOM, ISO PNP). In this paper we describe how these standards and specifications are linked to support the dynamic modelling. Three types of user characteristics are considered in order to generate adaptation: i) Felder learning styles, ii) the knowledge level based on Bloom's Taxonomy and iii) collaborative competency levels. The modelling is performed in ADA+, a multi-agent architecture that applies collaborative filtering, machine learning and fuzzy logic techniques on the learners' interactions to support the development of personalised learning paths and to generate dynamic recommendations to be provided during the course execution. |
Year | Venue | Keywords |
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2007 | ReTIeL | educational standards,felder learning styles,weka.,educational specifications,multi-agent systems,competences,ims global learning consortium,bloom taxonomy,fuzzy logic,knowledge representation,machine learning,jade agents,learning design,learning objects,metadata,collaborative filtering,multi agent system,instructional design |
Field | DocType | Citations |
Competence (human resources),Architecture,Learning styles,Collaborative filtering,Knowledge level,Active learning (machine learning),Software engineering,Computer science,Fuzzy logic,Instructional design,Multimedia | Conference | 3 |
PageRank | References | Authors |
0.93 | 2 | 6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Silvia Baldiris | 1 | 43 | 11.58 |
Olga C. Santos | 2 | 333 | 48.18 |
Carmen Barrera | 3 | 39 | 4.39 |
Jesús G. Boticario | 4 | 551 | 142.48 |
Jeimy Velez | 5 | 29 | 3.96 |
Ramón Fabregat | 6 | 107 | 25.34 |