Combining Knowledge Awareness and Information Filtering in an Open-ended Collaborative Learning Environment
Hiroaki Ogata, Yoneo Yano · 2000
Knowledge awareness (KA) has been proposed to increase collaboration opportunities in an open ended and collaborative learning environment. To encourage collaboration, an individual user's agent called KA-Agent autonomously informs the learner about up-to-the-minute activities from other learners. For instance, a message might be "someone is looking at the same knowledge that you are looking at." 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.