2013
DOI: 10.24846/v22i2y201304
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Enabling Self-Organization of the Educational Content in Ad Hoc Learning Networks

Abstract: This paper describes a simple solution to create self-organization of the educational content in learning networks by enabling stigmergic interactions between learners. For this purpose, the learning objects have been associated with a special type of metadata, based on the concept of "virtual pheromones". By accessing the learning objects, users create trails of virtual pheromones, which are interpreted as an implicit recommendation for other learners to use those objects. The resulting system operates as a s… Show more

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Cited by 4 publications
(5 citation statements)
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“…This means that the proposed model can be used -in principle -in any metric space, whenever we can define a distance function. This leaves room for some interesting applications, where the intelligent agents operate in more abstract spaces, like databases, or social networks (see also [23]). …”
Section: Discussion and Future Workmentioning
confidence: 99%
See 1 more Smart Citation
“…This means that the proposed model can be used -in principle -in any metric space, whenever we can define a distance function. This leaves room for some interesting applications, where the intelligent agents operate in more abstract spaces, like databases, or social networks (see also [23]). …”
Section: Discussion and Future Workmentioning
confidence: 99%
“…Consider, for example, a database of "educational objects" [23] used by a (large) community of students, or researchers. Each object is described by a set of metadata, including:…”
Section: Use Case 3: Self-organization Of the Educational Objectsmentioning
confidence: 99%
“…for group decision support systems ( [18]), stigmergic learning ( [19]), and many others (see [20]). …”
Section: Related Workmentioning
confidence: 99%
“…We have described in [23] a MAS experiment wherein the environment is a large set of learning objects Λ, organized as a database that can be independently accessed by a number of users (the agents), who can search and retrieve learning objects .…”
Section: Virtual Pheromones As the Internal "Scent" Of Cognitive Mapsmentioning
confidence: 99%