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)
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International Journal of Artificial Intelligence in Education (IJAIED), 2000, 11, pp.33-46
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https://telearn.archives-ouvertes.fr/hal-00197330
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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〉

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