A protocol for intelligent agent systems enabling incidental learning on the web

Research output: Chapter in Book/Report/Conference proceedingPublished Conference contributionpeer-review

Abstract

Incidental learning is learning something without intent, which usually happens during the time that is not dedicated to learning that thing. Examples of such time include work, game play and other activities for leisure. In today’s life of many people, a lot of time is spent on the surfing the Web. Should incidental learning be effectively implemented for individuals using the Web, it would make learning much more effective and efficient. This can be especially true for adult learners as they most likely have less time dedicated to learning, or don’t have any dedicated time for learning at all. In this paper, we present a protocol that is intended to be used in the design and implementation of intelligent agent systems for enabling incidental learning on the Web. The protocol prescribes the key requirements for such an intelligent agent system to meet, and depicts the steps such an intelligent agent system needs to take when rendering an incidental learning session on the web.

Original languageEnglish
Title of host publicationProceedings of the 2014 International Conference on Artificial Intelligence, ICAI 2014 - WORLDCOMP 2014
EditorsHamid R. Arabnia, David de la Fuente, Elena B. Kozerenko, Peter M. LaMonica, Raymond A. Liuzzi, Jose A. Olivas, Todd Waskiewicz, George Jandieri, Ashu M.G. Solo, Fernando G. Tinetti
Pages387-392
Number of pages6
ISBN (Electronic)1601322763, 9781601322760
Publication statusPublished - 2014
Event2014 International Conference on Artificial Intelligence, ICAI 2014 - WORLDCOMP 2014 - Las Vegas, United States
Duration: 21 Jul. 201424 Jul. 2014

Publication series

NameProceedings of the 2014 International Conference on Artificial Intelligence, ICAI 2014 - WORLDCOMP 2014

Conference

Conference2014 International Conference on Artificial Intelligence, ICAI 2014 - WORLDCOMP 2014
Country/TerritoryUnited States
CityLas Vegas
Period21/07/1424/07/14

Keywords

  • Computer protocol
  • E-learning
  • Incidental learning
  • Intelligent agent
  • Web-based learning

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