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

In IJAIED 11 (1)

Publication information

Abstract

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.