Authors: Richa Sharma; Punam Bedi; Hema Banati
Addresses: Department of Computer Science, Faculty of Mathematical Sciences, University of Delhi, 1st Floor, New Academic Block, Delhi – 110007, India ' Department of Computer Science, Faculty of Mathematical Sciences, University of Delhi, 1st Floor, New Academic Block, Delhi – 110007, India ' Department of Computer Science, Dyal Singh College, University of Delhi, Lodhi Road, New Delhi – 110003, India
Abstract: Stigmergic agents (SA) gather their strength from the ant colony metaphor and multi-agent systems (MAS). Ant-based systems provide a means of picking up information through indirect communication by exhibiting stigmergic ant behaviour and MAS lends the benefits of direct interaction among the agents. This paper presents a stigmergic agent framework for adaptive content sequencing (ACS) in e-learning using SA (ACSeLSA). Each learner enrolled in the designed e-course has a personalised stigmergic agent (PSA) that employs an ant-based adaptive content sequencing algorithm, ACSeLAnt, to generate customised content sequence for him/her. By implementing ACSeLAnt, each PSA: 1) exhibits stigmergic behaviour of producing its own pheromone trails and sensing those of other learners to generate the content sequence; 2) elicits recommendations of other similar learners through direct communication with their PSAs and incorporates them into the content sequencing process. The merger is beneficial for knowledge sharing in e-learning systems where there is a dearth of active dialogue among learners.
Keywords: personalised e-learning; adaptive content sequencing; ACS; personalised stigmergic agents; stigmergy; ant colony optimisation; ACO; multi-agent systems; MAS; agent-based systems; personalisation; electronic learning; online learning; knowledge sharing.
International Journal of Advanced Intelligence Paradigms, 2013 Vol.5 No.1/2, pp.59 - 82
Available online: 20 Jun 2013 *Full-text access for editors Access for subscribers Purchase this article Comment on this article