Combining Knowledge Awareness and Information Filtering in an Open-ended Collaborative Learning Environment

Abstract : Knowledge awareness (KA) has been proposed to increase collaboration opportunities in an open ended and collaborative learning environment. To encourage collaboration, an individual userâs agent called KA-Agent autonomously informs the learner about up-to-the-minute activities from other learners. For instance, a message might be ãsomeone is looking at the same knowledge that you are looking at.ä Although this message, called active KA, is very useful to create real-time collaboration, a large number of messages often confuse learners and disturb their learning. Therefore, the agent has to have an information filtering facility to inform a learner of the important messages of KA. This paper describes a KA filtering technique based on some educational strategies toward efficient collaborative learning. (http://aied.inf.ed.ac.uk/members00/archive/vol_11/ogata/full.html)
Document type :
Journal articles
Complete list of metadatas

https://telearn.archives-ouvertes.fr/hal-00197330
Contributor : Jerome Zeiliger <>
Submitted on : Friday, December 14, 2007 - 3:03:06 PM
Last modification on : Wednesday, September 18, 2019 - 1:29:13 AM
Long-term archiving on: Monday, April 12, 2010 - 7:47:25 AM

File

ogata00.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : hal-00197330, version 1

Collections

Citation

Hiroaki Ogata, Yoneo Yano. Combining Knowledge Awareness and Information Filtering in an Open-ended Collaborative Learning Environment. International Journal of Artificial Intelligence in Education (IJAIED), 2000, 11, pp.33-46. ⟨hal-00197330⟩

Share

Metrics

Record views

540

Files downloads

417