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

Hiroaki Ogata (1) , Yoneo Yano (1)

1 Dept. of Information Science and Intelligent Systems

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)

Domaines: Environnements Informatiques pour l'Apprentissage Humain

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